Buy propecia without a prescription
Explore a full-page version buy propecia without a prescription of the map. An additional 285,000 rural Americans completed their hair loss treatment vaccinations last week, raising the overall rate of completed vaccinations by about 0.6 percentage points to 34% of the rural population, according to data from the Centers from Disease Control and state departments of health. The rate of metropolitan completed vaccinations increased by about buy propecia without a prescription 1.1 percentage points last week, raising the rate of completed vaccinations to 44.3% of the metropolitan population.
The map above above shows U.S. County vaccination rates compared to an buy propecia without a prescription adjusted national average. Hover over counties to see additional information.
Counties with above-average rates are green (rural) and light green (metro).Counties with low vaccination rates (within 30% of the U.S buy propecia without a prescription. Adjusted rate) are brown (rural) and tan (metro).Counties with very low vaccination rates (below 30% of the national adjusted average) are red (rural) and pink (metro). Like buy propecia without a prescription this story?.
Sign up for our newsletter. The gap between buy propecia without a prescription the metropolitan and rural vaccination rates grew last week (see graph). The pace of new vaccinations is on a gradual decline across the country.
The number of newly vaccinated rural buy propecia without a prescription residents fell by about 32% last week compared to two weeks ago. In metropolitan counties, the number of newly completed vaccinations fell by about 36%. The Daily Yonderâs analysis of vaccinations is based on the CDC data from June 28 and data from the Hawaii, Massachusetts, and Texas state departments buy propecia without a prescription of health.
Our weekly analysis gives a rough sense of how vaccinations efforts are proceeding, but the rural and urban vaccination numbers are likely higher than our geographic analysis indicates. Thatâs because about 10.6 million completed vaccinations (or 7.5% of the national total) lack the geographic information necessary to code them as rural buy propecia without a prescription or metropolitan. If these unallocated vaccinations were apportioned based on the relative population of metropolitan and rural counties, the metropolitan completed vaccination rate would be about 50.7% and the rural vaccination rate would be about 35.0%.
The map buy propecia without a prescription below shows the rural vaccination rate. Hover over states to see additional information. You Might Also Like.
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Patients Figure propecia tablets canada find out 1. Figure 1. Enrollment and Randomization propecia tablets canada. Of the 1107 patients who were assessed for eligibility, 1063 underwent randomization. 541 were assigned to the remdesivir group and 522 to the placebo group propecia tablets canada (Figure 1).
Of those assigned to receive remdesivir, 531 patients (98.2%) received the treatment as assigned. Forty-nine patients had remdesivir treatment discontinued before day 10 because of an adverse event or a serious adverse event other than propecia tablets canada death (36 patients) or because the patient withdrew consent (13). Of those assigned to receive placebo, 518 patients (99.2%) received placebo as assigned. Fifty-three patients discontinued placebo before day 10 because of an adverse event or a serious adverse event other than death (36 patients), because the patient withdrew consent (15), or because the patient was found to be ineligible for trial enrollment (2). As of April 28, propecia tablets canada 2020, a total of 391 patients in the remdesivir group and 340 in the placebo group had completed the trial through day 29, recovered, or died.
Eight patients who received remdesivir and 9 who received placebo terminated their participation in the trial before day 29. There were 132 patients propecia tablets canada in the remdesivir group and 169 in the placebo group who had not recovered and had not completed the day 29 follow-up visit. The analysis population included 1059 patients for whom we have at least some postbaseline data available (538 in the remdesivir group and 521 in the placebo group). Four of the 1063 patients were not included in the primary analysis because no propecia tablets canada postbaseline data were available at the time of the database freeze. Table 1.
Table 1 propecia tablets canada. Demographic and Clinical Characteristics at Baseline. The mean age of patients was 58.9 years, and 64.3% were male (Table 1). On the propecia tablets canada basis of the evolving epidemiology of hair loss treatment during the trial, 79.8% of patients were enrolled at sites in North America, 15.3% in Europe, and 4.9% in Asia (Table S1). Overall, 53.2% of the patients were white, 20.6% were black, 12.6% were Asian, and 13.6% were designated as other or not reported.
249 (23.4%) were Hispanic or Latino propecia tablets canada. Most patients had either one (27.0%) or two or more (52.1%) of the prespecified coexisting conditions at enrollment, most commonly hypertension (49.6%), obesity (37.0%), and type 2 diabetes mellitus (29.7%). The median number of days between symptom onset and propecia tablets canada randomization was 9 (interquartile range, 6 to 12). Nine hundred forty-three (88.7%) patients had severe disease at enrollment as defined in the Supplementary Appendix. 272 (25.6%) patients met category propecia tablets canada 7 criteria on the ordinal scale, 197 (18.5%) category 6, 421 (39.6%) category 5, and 127 (11.9%) category 4.
There were 46 (4.3%) patients who had missing ordinal scale data at enrollment. No substantial imbalances in baseline characteristics were observed between the remdesivir group and the placebo group. Primary Outcome Figure propecia tablets canada 2. Figure 2. KaplanâMeier Estimates propecia tablets canada of Cumulative Recoveries.
Cumulative recovery estimates are shown in the overall population (Panel A), in patients with a baseline score of 4 on the ordinal scale (not receiving oxygen. Panel B), in propecia tablets canada those with a baseline score of 5 (receiving oxygen. Panel C), in those with a baseline score of 6 (receiving high-flow oxygen or noninvasive mechanical ventilation. Panel D), propecia tablets canada and in those with a baseline score of 7 (receiving mechanical ventilation or ECMO. Panel E).
Table 2. Table 2 propecia tablets canada. Outcomes Overall and According to Score on the Ordinal Scale in the Intention-to-Treat Population. Figure 3 propecia tablets canada. Figure 3.
Time to propecia tablets canada Recovery According to Subgroup. The widths of the confidence intervals have not been adjusted for multiplicity and therefore cannot be used to infer treatment effects. Race and ethnic group were propecia tablets canada reported by the patients. Patients in the remdesivir group had a shorter time to recovery than patients in the placebo group (median, 11 days, as compared with 15 days. Rate ratio for recovery, 1.32.
95% confidence propecia tablets canada interval [CI], 1.12 to 1.55. P<0.001. 1059 patients (Figure 2 and propecia tablets canada Table 2). Among patients with a baseline ordinal score of 5 (421 patients), the rate ratio for recovery was 1.47 (95% CI, 1.17 to 1.84). Among patients with a baseline score of 4 (127 patients) and those with a baseline score of 6 (197 patients), the rate ratio estimates for recovery propecia tablets canada were 1.38 (95% CI, 0.94 to 2.03) and 1.20 (95% CI, 0.79 to 1.81), respectively.
For those receiving mechanical ventilation or ECMO at enrollment (baseline ordinal scores of 7. 272 patients), the rate ratio for propecia tablets canada recovery was 0.95 (95% CI, 0.64 to 1.42). A test of interaction of treatment with baseline score on the ordinal scale was not significant. An analysis adjusting for baseline ordinal score as a stratification variable was conducted to evaluate the overall effect (of the percentage of patients in each ordinal score category at baseline) on the primary outcome. This adjusted analysis produced a similar treatment-effect estimate propecia tablets canada (rate ratio for recovery, 1.31.
95% CI, 1.12 to 1.54. 1017 patients) propecia tablets canada. Table S2 in the Supplementary Appendix shows results according to the baseline severity stratum of mild-to-moderate as compared with severe. Patients who underwent randomization during the first 10 days after the onset of symptoms had a rate ratio for recovery of propecia tablets canada 1.28 (95% CI, 1.05 to 1.57. 664 patients), whereas patients who underwent randomization more than 10 days after the onset of symptoms had a rate ratio for recovery of 1.38 (95% CI, 1.05 to 1.81.
380 patients) propecia tablets canada (Figure 3). Key Secondary Outcome The odds of improvement in the ordinal scale score were higher in the remdesivir group, as determined by a proportional odds model at the day 15 visit, than in the placebo group (odds ratio for improvement, 1.50. 95% CI, 1.18 to 1.91. P=0.001. 844 patients) (Table 2 and Fig.
S5). Mortality was numerically lower in the remdesivir group than in the placebo group, but the difference was not significant (hazard ratio for death, 0.70. 95% CI, 0.47 to 1.04. 1059 patients). The KaplanâMeier estimates of mortality by 14 days were 7.1% and 11.9% in the remdesivir and placebo groups, respectively (Table 2).
The KaplanâMeier estimates of mortality by 28 days are not reported in this preliminary analysis, given the large number of patients that had yet to complete day 29 visits. An analysis with adjustment for baseline ordinal score as a stratification variable showed a hazard ratio for death of 0.74 (95% CI, 0.50 to 1.10). Safety Outcomes Serious adverse events occurred in 114 patients (21.1%) in the remdesivir group and 141 patients (27.0%) in the placebo group (Table S3). 4 events (2 in each group) were judged by site investigators to be related to remdesivir or placebo. There were 28 serious respiratory failure adverse events in the remdesivir group (5.2% of patients) and 42 in the placebo group (8.0% of patients).
Acute respiratory failure, hypotension, viral pneumonia, and acute kidney injury were slightly more common among patients in the placebo group. No deaths were considered to be related to treatment assignment, as judged by the site investigators. Grade 3 or 4 adverse events occurred in 156 patients (28.8%) in the remdesivir group and in 172 in the placebo group (33.0%) (Table S4). The most common adverse events in the remdesivir group were anemia or decreased hemoglobin (43 events [7.9%], as compared with 47 [9.0%] in the placebo group). Acute kidney injury, decreased estimated glomerular filtration rate or creatinine clearance, or increased blood creatinine (40 events [7.4%], as compared with 38 [7.3%]).
Pyrexia (27 events [5.0%], as compared with 17 [3.3%]). Hyperglycemia or increased blood glucose level (22 events [4.1%], as compared with 17 [3.3%]). And increased aminotransferase levels including alanine aminotransferase, aspartate aminotransferase, or both (22 events [4.1%], as compared with 31 [5.9%]). Otherwise, the incidence of adverse events was not found to be significantly different between the remdesivir group and the placebo group.Trial Population Table 1. Table 1.
Characteristics of the Participants in the mRNA-1273 Trial at Enrollment. The 45 enrolled participants received their first vaccination between March 16 and April 14, 2020 (Fig. S1). Three participants did not receive the second vaccination, including one in the 25-μg group who had urticaria on both legs, with onset 5 days after the first vaccination, and two (one in the 25-μg group and one in the 250-μg group) who missed the second vaccination window owing to isolation for suspected hair loss treatment while the test results, ultimately negative, were pending. All continued to attend scheduled trial visits.
The demographic characteristics of participants at enrollment are provided in Table 1. treatment Safety No serious adverse events were noted, and no prespecified trial halting rules were met. As noted above, one participant in the 25-μg group was withdrawn because of an unsolicited adverse event, transient urticaria, judged to be related to the first vaccination. Figure 1. Figure 1.
Systemic and Local Adverse Events. The severity of solicited adverse events was graded as mild, moderate, or severe (see Table S1).After the first vaccination, solicited systemic adverse events were reported by 5 participants (33%) in the 25-μg group, 10 (67%) in the 100-μg group, and 8 (53%) in the 250-μg group. All were mild or moderate in severity (Figure 1 and Table S2). Solicited systemic adverse events were more common after the second vaccination and occurred in 7 of 13 participants (54%) in the 25-μg group, all 15 in the 100-μg group, and all 14 in the 250-μg group, with 3 of those participants (21%) reporting one or more severe events. None of the participants had fever after the first vaccination.
After the second vaccination, no participants in the 25-μg group, 6 (40%) in the 100-μg group, and 8 (57%) in the 250-μg group reported fever. One of the events (maximum temperature, 39.6°C) in the 250-μg group was graded severe. (Additional details regarding adverse events for that participant are provided in the Supplementary Appendix.) Local adverse events, when present, were nearly all mild or moderate, and pain at the injection site was common. Across both vaccinations, solicited systemic and local adverse events that occurred in more than half the participants included fatigue, chills, headache, myalgia, and pain at the injection site. Evaluation of safety clinical laboratory values of grade 2 or higher and unsolicited adverse events revealed no patterns of concern (Supplementary Appendix and Table S3).
hair loss Binding Antibody Responses Table 2. Table 2. Geometric Mean Humoral Immunogenicity Assay Responses to mRNA-1273 in Participants and in Convalescent Serum Specimens. Figure 2. Figure 2.
hair loss Antibody and Neutralization Responses. Shown are geometric mean reciprocal end-point enzyme-linked immunosorbent assay (ELISA) IgG titers to S-2P (Panel A) and receptor-binding domain (Panel B), PsVNA ID50 responses (Panel C), and live propecia PRNT80 responses (Panel D). In Panel A and Panel B, boxes and horizontal bars denote interquartile range (IQR) and median area under the curve (AUC), respectively. Whisker endpoints are equal to the maximum and minimum values below or above the median ±1.5 times the IQR. The convalescent serum panel includes specimens from 41 participants.
Red dots indicate the 3 specimens that were also tested in the PRNT assay. The other 38 specimens were used to calculate summary statistics for the box plot in the convalescent serum panel. In Panel C, boxes and horizontal bars denote IQR and median ID50, respectively. Whisker end points are equal to the maximum and minimum values below or above the median ±1.5 times the IQR. In the convalescent serum panel, red dots indicate the 3 specimens that were also tested in the PRNT assay.
The other 38 specimens were used to calculate summary statistics for the box plot in the convalescent panel. In Panel D, boxes and horizontal bars denote IQR and median PRNT80, respectively. Whisker end points are equal to the maximum and minimum values below or above the median ±1.5 times the IQR. The three convalescent serum specimens were also tested in ELISA and PsVNA assays. Because of the time-intensive nature of the PRNT assay, for this preliminary report, PRNT results were available only for the 25-μg and 100-μg dose groups.Binding antibody IgG geometric mean titers (GMTs) to S-2P increased rapidly after the first vaccination, with seroconversion in all participants by day 15 (Table 2 and Figure 2A).
Dose-dependent responses to the first and second vaccinations were evident. Receptor-binding domainâspecific antibody responses were similar in pattern and magnitude (Figure 2B). For both assays, the median magnitude of antibody responses after the first vaccination in the 100-μg and 250-μg dose groups was similar to the median magnitude in convalescent serum specimens, and in all dose groups the median magnitude after the second vaccination was in the upper quartile of values in the convalescent serum specimens. The S-2P ELISA GMTs at day 57 (299,751 [95% confidence interval {CI}, 206,071 to 436,020] in the 25-μg group, 782,719 [95% CI, 619,310 to 989,244] in the 100-μg group, and 1,192,154 [95% CI, 924,878 to 1,536,669] in the 250-μg group) exceeded that in the convalescent serum specimens (142,140 [95% CI, 81,543 to 247,768]). hair loss Neutralization Responses No participant had detectable PsVNA responses before vaccination.
After the first vaccination, PsVNA responses were detected in less than half the participants, and a dose effect was seen (50% inhibitory dilution [ID50]. Figure 2C, Fig. S8, and Table 2. 80% inhibitory dilution [ID80]. Fig.
S2 and Table S6). However, after the second vaccination, PsVNA responses were identified in serum samples from all participants. The lowest responses were in the 25-μg dose group, with a geometric mean ID50 of 112.3 (95% CI, 71.2 to 177.1) at day 43. The higher responses in the 100-μg and 250-μg groups were similar in magnitude (geometric mean ID50, 343.8 [95% CI, 261.2 to 452.7] and 332.2 [95% CI, 266.3 to 414.5], respectively, at day 43). These responses were similar to values in the upper half of the distribution of values for convalescent serum specimens.
Before vaccination, no participant had detectable 80% live-propecia neutralization at the highest serum concentration tested (1:8 dilution) in the PRNT assay. At day 43, wild-type propeciaâneutralizing activity capable of reducing hair loss infectivity by 80% or more (PRNT80) was detected in all participants, with geometric mean PRNT80 responses of 339.7 (95% CI, 184.0 to 627.1) in the 25-μg group and 654.3 (95% CI, 460.1 to 930.5) in the 100-μg group (Figure 2D). Neutralizing PRNT80 average responses were generally at or above the values of the three convalescent serum specimens tested in this assay. Good agreement was noted within and between the values from binding assays for S-2P and receptor-binding domain and neutralizing activity measured by PsVNA and PRNT (Figs. S3 through S7), which provides orthogonal support for each assay in characterizing the humoral response induced by mRNA-1273.
hair loss T-Cell Responses The 25-μg and 100-μg doses elicited CD4 T-cell responses (Figs. S9 and S10) that on stimulation by S-specific peptide pools were strongly biased toward expression of Th1 cytokines (tumor necrosis factor α >. Interleukin 2 >. Interferon γ), with minimal type 2 helper T-cell (Th2) cytokine expression (interleukin 4 and interleukin 13). CD8 T-cell responses to S-2P were detected at low levels after the second vaccination in the 100-μg dose group (Fig.
S11).Trial Design and Oversight The RECOVERY trial was designed to evaluate the effects of potential treatments in patients hospitalized with hair loss treatment at 176 National Health Service organizations in the United Kingdom and was supported by the National Institute for Health Research Clinical Research Network. (Details regarding this trial are provided in the Supplementary Appendix, available with the full text of this article at NEJM.org.) The trial is being coordinated by the Nuffield Department of Population Health at the University of Oxford, the trial sponsor. Although the randomization of patients to receive dexamethasone, hydroxychloroquine, or lopinavirâritonavir has now been stopped, the trial continues randomization to groups receiving azithromycin, tocilizumab, or convalescent plasma. Hospitalized patients were eligible for the trial if they had clinically suspected or laboratory-confirmed hair loss and no medical history that might, in the opinion of the attending clinician, put patients at substantial risk if they were to participate in the trial. Initially, recruitment was limited to patients who were at least 18 years of age, but the age limit was removed starting on May 9, 2020.
Pregnant or breast-feeding women were eligible. Written informed consent was obtained from all the patients or from a legal representative if they were unable to provide consent. The trial was conducted in accordance with the principles of the Good Clinical Practice guidelines of the International Conference on Harmonisation and was approved by the U.K. Medicines and Healthcare Products Regulatory Agency and the Cambridge East Research Ethics Committee. The protocol with its statistical analysis plan is available at NEJM.org and on the trial website at www.recoverytrial.net.
The initial version of the manuscript was drafted by the first and last authors, developed by the writing committee, and approved by all members of the trial steering committee. The funders had no role in the analysis of the data, in the preparation or approval of the manuscript, or in the decision to submit the manuscript for publication. The first and last members of the writing committee vouch for the completeness and accuracy of the data and for the fidelity of the trial to the protocol and statistical analysis plan. Randomization We collected baseline data using a Web-based case-report form that included demographic data, the level of respiratory support, major coexisting illnesses, suitability of the trial treatment for a particular patient, and treatment availability at the trial site. Randomization was performed with the use of a Web-based system with concealment of the trial-group assignment.
Eligible and consenting patients were assigned in a 2:1 ratio to receive either the usual standard of care alone or the usual standard of care plus oral or intravenous dexamethasone (at a dose of 6 mg once daily) for up to 10 days (or until hospital discharge if sooner) or to receive one of the other suitable and available treatments that were being evaluated in the trial. For some patients, dexamethasone was unavailable at the hospital at the time of enrollment or was considered by the managing physician to be either definitely indicated or definitely contraindicated. These patients were excluded from entry in the randomized comparison between dexamethasone and usual care and hence were not included in this report. The randomly assigned treatment was prescribed by the treating clinician. Patients and local members of the trial staff were aware of the assigned treatments.
Procedures A single online follow-up form was to be completed when the patients were discharged or had died or at 28 days after randomization, whichever occurred first. Information was recorded regarding the patientsâ adherence to the assigned treatment, receipt of other trial treatments, duration of admission, receipt of respiratory support (with duration and type), receipt of renal support, and vital status (including the cause of death). In addition, we obtained routine health care and registry data, including information on vital status (with date and cause of death), discharge from the hospital, and respiratory and renal support therapy. Outcome Measures The primary outcome was all-cause mortality within 28 days after randomization. Further analyses were specified at 6 months.
Secondary outcomes were the time until discharge from the hospital and, among patients not receiving invasive mechanical ventilation at the time of randomization, subsequent receipt of invasive mechanical ventilation (including extracorporeal membrane oxygenation) or death. Other prespecified clinical outcomes included cause-specific mortality, receipt of renal hemodialysis or hemofiltration, major cardiac arrhythmia (recorded in a subgroup), and receipt and duration of ventilation. Statistical Analysis As stated in the protocol, appropriate sample sizes could not be estimated when the trial was being planned at the start of the hair loss treatment propecia. As the trial progressed, the trial steering committee, whose members were unaware of the results of the trial comparisons, determined that if 28-day mortality was 20%, then the enrollment of at least 2000 patients in the dexamethasone group and 4000 in the usual care group would provide a power of at least 90% at a two-sided P value of 0.01 to detect a clinically relevant proportional reduction of 20% (an absolute difference of 4 percentage points) between the two groups. Consequently, on June 8, 2020, the steering committee closed recruitment to the dexamethasone group, since enrollment had exceeded 2000 patients.
For the primary outcome of 28-day mortality, the hazard ratio from Cox regression was used to estimate the mortality rate ratio. Among the few patients (0.1%) who had not been followed for 28 days by the time of the data cutoff on July 6, 2020, data were censored either on that date or on day 29 if the patient had already been discharged. That is, in the absence of any information to the contrary, these patients were assumed to have survived for 28 days. KaplanâMeier survival curves were constructed to show cumulative mortality over the 28-day period. Cox regression was used to analyze the secondary outcome of hospital discharge within 28 days, with censoring of data on day 29 for patients who had died during hospitalization.
For the prespecified composite secondary outcome of invasive mechanical ventilation or death within 28 days (among patients who were not receiving invasive mechanical ventilation at randomization), the precise date of invasive mechanical ventilation was not available, so a log-binomial regression model was used to estimate the risk ratio. Table 1. Table 1. Characteristics of the Patients at Baseline, According to Treatment Assignment and Level of Respiratory Support. Through the play of chance in the unstratified randomization, the mean age was 1.1 years older among patients in the dexamethasone group than among those in the usual care group (Table 1).
To account for this imbalance in an important prognostic factor, estimates of rate ratios were adjusted for the baseline age in three categories (<70 years, 70 to 79 years, and â¥80 years). This adjustment was not specified in the first version of the statistical analysis plan but was added once the imbalance in age became apparent. Results without age adjustment (corresponding to the first version of the analysis plan) are provided in the Supplementary Appendix. Prespecified analyses of the primary outcome were performed in five subgroups, as defined by characteristics at randomization. Age, sex, level of respiratory support, days since symptom onset, and predicted 28-day mortality risk.
(One further prespecified subgroup analysis regarding race will be conducted once the data collection has been completed.) In prespecified subgroups, we estimated rate ratios (or risk ratios in some analyses) and their confidence intervals using regression models that included an interaction term between the treatment assignment and the subgroup of interest. Chi-square tests for linear trend across the subgroup-specific log estimates were then performed in accordance with the prespecified plan. All P values are two-sided and are shown without adjustment for multiple testing. All analyses were performed according to the intention-to-treat principle. The full database is held by the trial team, which collected the data from trial sites and performed the analyses at the Nuffield Department of Population Health, University of Oxford.Trial Design and Oversight We conducted a randomized, double-blind, placebo-controlled trial to evaluate postexposure prophylaxis with hydroxychloroquine after exposure to hair loss treatment.12 We randomly assigned participants in a 1:1 ratio to receive either hydroxychloroquine or placebo.
Participants had known exposure (by participant report) to a person with laboratory-confirmed hair loss treatment, whether as a household contact, a health care worker, or a person with other occupational exposures. Trial enrollment began on March 17, 2020, with an eligibility threshold to enroll within 3 days after exposure. The objective was to intervene before the median incubation period of 5 to 6 days. Because of limited access to prompt testing, health care workers could initially be enrolled on the basis of presumptive high-risk exposure to patients with pending tests. However, on March 23, eligibility was changed to exposure to a person with a positive polymerase-chain-reaction (PCR) assay for hair loss, with the eligibility window extended to within 4 days after exposure.
This trial was approved by the institutional review board at the University of Minnesota and conducted under a Food and Drug Administration Investigational New Drug application. In Canada, the trial was approved by Health Canada. Ethics approvals were obtained from the Research Institute of the McGill University Health Centre, the University of Manitoba, and the University of Alberta. Participants We included participants who had household or occupational exposure to a person with confirmed hair loss treatment at a distance of less than 6 ft for more than 10 minutes while wearing neither a face mask nor an eye shield (high-risk exposure) or while wearing a face mask but no eye shield (moderate-risk exposure). Participants were excluded if they were younger than 18 years of age, were hospitalized, or met other exclusion criteria (see the Supplementary Appendix, available with the full text of this article at NEJM.org).
Persons with symptoms of hair loss treatment or with PCR-proven hair loss were excluded from this prevention trial but were separately enrolled in a companion clinical trial to treat early . Setting Recruitment was performed primarily with the use of social media outreach as well as traditional media platforms. Participants were enrolled nationwide in the United States and in the Canadian provinces of Quebec, Manitoba, and Alberta. Participants enrolled themselves through a secure Internet-based survey using the Research Electronic Data Capture (REDCap) system.13 After participants read the consent form, their comprehension of its contents was assessed. Participants provided a digitally captured signature to indicate informed consent.
We sent follow-up e-mail surveys on days 1, 5, 10, and 14. A survey at 4 to 6 weeks asked about any follow-up testing, illness, or hospitalizations. Participants who did not respond to follow-up surveys received text messages, e-mails, telephone calls, or a combination of these to ascertain their outcomes. When these methods were unsuccessful, the emergency contact provided by the enrollee was contacted to determine the participantâs illness and vital status. When all communication methods were exhausted, Internet searches for obituaries were performed to ascertain vital status.
Interventions Randomization occurred at research pharmacies in Minneapolis and Montreal. The trial statisticians generated a permuted-block randomization sequence using variably sized blocks of 2, 4, or 8, with stratification according to country. A research pharmacist sequentially assigned participants. The assignments were concealed from investigators and participants. Only pharmacies had access to the randomization sequence.
Hydroxychloroquine sulfate or placebo was dispensed and shipped overnight to participants by commercial courier. The dosing regimen for hydroxychloroquine was 800 mg (4 tablets) once, then 600 mg (3 tablets) 6 to 8 hours later, then 600 mg (3 tablets) daily for 4 more days for a total course of 5 days (19 tablets total). If participants had gastrointestinal upset, they were advised to divide the daily dose into two or three doses. We chose this hydroxychloroquine dosing regimen on the basis of pharmacokinetic simulations to achieve plasma concentrations above the hair loss in vitro half maximal effective concentration for 14 days.14 Placebo folate tablets, which were similar in appearance to the hydroxychloroquine tablets, were prescribed as an identical regimen for the control group. Rising Pharmaceuticals provided a donation of hydroxychloroquine, and some hydroxychloroquine was purchased.
Outcomes The primary outcome was prespecified as symptomatic illness confirmed by a positive molecular assay or, if testing was unavailable, hair loss treatmentârelated symptoms. We assumed that health care workers would have access to hair loss treatment testing if symptomatic. However, access to testing was limited throughout the trial period. hair loss treatmentârelated symptoms were based on U.S. Council for State and Territorial Epidemiologists criteria for confirmed cases (positivity for hair loss on PCR assay), probable cases (the presence of cough, shortness of breath, or difficulty breathing, or the presence of two or more symptoms of fever, chills, rigors, myalgia, headache, sore throat, and new olfactory and taste disorders), and possible cases (the presence of one or more compatible symptoms, which could include diarrhea).15 All the participants had epidemiologic linkage,15 per trial eligibility criteria.
Four infectious disease physicians who were unaware of the trial-group assignments reviewed symptomatic participants to generate a consensus with respect to whether their condition met the case definition.15 Secondary outcomes included the incidence of hospitalization for hair loss treatment or death, the incidence of PCR-confirmed hair loss , the incidence of hair loss treatment symptoms, the incidence of discontinuation of the trial intervention owing to any cause, and the severity of symptoms (if any) at days 5 and 14 according to a visual analogue scale (scores ranged from 0 [no symptoms] to 10 [severe symptoms]). Data on adverse events were also collected with directed questioning for common side effects along with open-ended free text. Outcome data were measured within 14 days after trial enrollment. Outcome data including PCR testing results, possible hair loss treatmentârelated symptoms, adherence to the trial intervention, side effects, and hospitalizations were all collected through participant report. Details of trial conduct are provided in the protocol and statistical analysis plan, available at NEJM.org.
Sample Size We anticipated that illness compatible with hair loss treatment would develop in 10% of close contacts exposed to hair loss treatment.9 Using Fisherâs exact method with a 50% relative effect size to reduce new symptomatic s, a two-sided alpha of 0.05, and 90% power, we estimated that 621 persons would need to be enrolled in each group. With a pragmatic, Internet-based, self-referral recruitment strategy, we planned for a 20% incidence of attrition by increasing the sample size to 750 participants per group. We specified a priori that participants who were already symptomatic on day 1 before receiving hydroxychloroquine or placebo would be excluded from the prophylaxis trial and would instead be separately enrolled in the companion symptomatic treatment trial. Because the estimates for both incident symptomatic hair loss treatment after an exposure and loss to follow-up were relatively unknown in early March 2020,9 the protocol prespecified a sample-size reestimation at the second interim analysis. This reestimation, which used the incidence of new s in the placebo group and the observed percentage of participants lost to follow-up, was aimed at maintaining the ability to detect an effect size of a 50% relative reduction in new symptomatic s.
Interim Analyses An independent data and safety monitoring board externally reviewed the data after 25% and 50% of the participants had completed 14 days of follow-up. Stopping guidelines were provided to the data and safety monitoring board with the use of a LanâDeMets spending function analogue of the OâBrienâFleming boundaries for the primary outcome. A conditional power analysis was performed at the second and third interim analysis with the option of early stopping for futility. At the second interim analysis on April 22, 2020, the sample size was reduced to 956 participants who could be evaluated with 90% power on the basis of the higher-than-expected event rate of s in the control group. At the third interim analysis on May 6, the trial was halted on the basis of a conditional power of less than 1%, since it was deemed futile to continue.
Statistical Analysis We assessed the incidence of hair loss treatment disease by day 14 with Fisherâs exact test. Secondary outcomes with respect to percentage of patients were also compared with Fisherâs exact test. Among participants in whom incident illness compatible with hair loss treatment developed, we summarized the symptom severity score at day 14 with the median and interquartile range and assessed the distributions with a KruskalâWallis test. We conducted all analyses with SAS software, version 9.4 (SAS Institute), according to the intention-to-treat principle, with two-sided type I error with an alpha of 0.05. For participants with missing outcome data, we conducted a sensitivity analysis with their outcomes excluded or included as an event.
Subgroups that were specified a priori included type of contact (household vs. Health care), days from exposure to enrollment, age, and sex.Announced on May 15, Operation Warp Speed (OWS) â a partnership of the Department of Health and Human Services (HHS), the Department of Defense (DOD), and the private sector â aims to accelerate control of the hair loss treatment propecia by advancing development, manufacturing, and distribution of treatments, therapeutics, and diagnostics. OWS is providing support to promising candidates and enabling the expeditious, parallel execution of the necessary steps toward approval or authorization of safe products by the Food and Drug Administration (FDA).The partnership grew out of an acknowledged need to fundamentally restructure the way the U.S. Government typically supports product development and treatment distribution. The initiative was premised on setting a âstretch goalâ â one that initially seemed impossible but that is becoming increasingly achievable.The concept of an integrated structure for hair loss treatment countermeasure research and development across the U.S.
Government was based on experience with Zika and the Zika Leadership Group led by the National Institutes of Health (NIH) and the assistant secretary for preparedness and response (ASPR). One of us (M.S.) serves as OWS chief advisor. We are drawing on expertise from the NIH, ASPR, the Centers for Disease Control and Prevention (CDC), the Biomedical Advanced Research and Development Authority (BARDA), and the DOD, including the Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense and the Defense Advanced Research Projects Agency. OWS has engaged experts in all critical aspects of medical countermeasure research, development, manufacturing, and distribution to work in close coordination.The initiative set ambitious objectives. To deliver tens of millions of doses of a hair loss treatment â with demonstrated safety and efficacy, and approved or authorized by the FDA for use in the U.S.
Population â beginning at the end of 2020 and to have as many as 300 million doses of such treatments available and deployed by mid-2021. The pace and scope of such a treatment effort are unprecedented. The 2014 West African Ebola propecia epidemic spurred rapid treatment development, but though preclinical data existed before the outbreak, a period of 12 months was required to progress from phase 1 first-in-human trials to phase 3 efficacy trials. OWS aims to compress this time frame even further. hair loss treatment development began in January, phase 1 clinical studies in March, and the first phase 3 trials in July.
Our objectives are based on advances in treatment platform technology, improved understanding of safe and efficacious treatment design, and similarities between the SARS-CoV-1 and hair loss disease mechanisms.OWSâs role is to enable, accelerate, harmonize, and advise the companies developing the selected treatments. The companies will execute the clinical or process development and manufacturing plans, while OWS leverages the full capacity of the U.S. Government to ensure that no technical, logistic, or financial hurdles hinder treatment development or deployment.OWS selected treatment candidates on the basis of four criteria. We required candidates to have robust preclinical data or early-stage clinical trial data supporting their potential for clinical safety and efficacy. Candidates had to have the potential, with our acceleration support, to enter large phase 3 field efficacy trials this summer or fall (July to November 2020) and, assuming continued active transmission of the propecia, to deliver efficacy outcomes by the end of 2020 or the first half of 2021.
Candidates had to be based on treatment-platform technologies permitting fast and effective manufacturing, and their developers had to demonstrate the industrial process scalability, yields, and consistency necessary to reliably produce more than 100 million doses by mid-2021. Finally, candidates had to use one of four treatment-platform technologies that we believe are the most likely to yield a safe and effective treatment against hair loss treatment. The mRNA platform, the replication-defective live-vector platform, the recombinant-subunit-adjuvanted protein platform, or the attenuated replicating live-vector platform.OWSâs strategy relies on a few key principles. First, we sought to build a diverse project portfolio that includes two treatment candidates based on each of the four platform technologies. Such diversification mitigates the risk of failure due to safety, efficacy, industrial manufacturability, or scheduling factors and may permit selection of the best treatment platform for each subpopulation at risk for contracting or transmitting hair loss treatment, including older adults, frontline and essential workers, young adults, and pediatric populations.
In addition, advancing eight treatments in parallel will increase the chances of delivering 300 million doses in the first half of 2021.Second, we must accelerate treatment program development without compromising safety, efficacy, or product quality. Clinical development, process development, and manufacturing scale-up can be substantially accelerated by running all streams, fully resourced, in parallel. Doing so requires taking on substantial financial risk, as compared with the conventional sequential development approach. OWS will maximize the size of phase 3 trials (30,000 to 50,000 participants each) and optimize trial-site location by consulting daily epidemiologic and disease-forecasting models to ensure the fastest path to an efficacy readout. Such large trials also increase the safety data set for each candidate treatment.With heavy up-front investment, companies can conduct clinical operations and site preparation for these phase 3 efficacy trials even as they file their Investigational New Drug application (IND) for their phase 1 studies, thereby ensuring immediate initiation of phase 3 when they get a green light from the FDA.
To permit appropriate comparisons among the treatment candidates and to optimize treatment utilization after approval by the FDA, the phase 3 trial end points and assay readouts have been harmonized through a collaborative effort involving the National Institute of Allergy and Infectious Diseases (NIAID), the hair loss Prevention Network, OWS, and the sponsor companies.Finally, OWS is supporting the companies financially and technically to commence process development and scale up manufacturing while their treatments are in preclinical or very early clinical stages. To ensure that industrial processes are set, running, and validated for FDA inspection when phase 3 trials end, OWS is also supporting facility building or refurbishing, equipment fitting, staff hiring and training, raw-material sourcing, technology transfer and validation, bulk product processing into vials, and acquisition of ample vials, syringes, and needles for each treatment candidate. We aim to have stockpiled, at OWSâs expense, a few tens of millions of treatment doses that could be swiftly deployed once FDA approval is obtained.This strategy aims to accelerate treatment development without curtailing the critical steps required by sound science and regulatory standards. The FDA recently reissued guidance and standards that will be used to assess each treatment for a Biologics License Application (BLA). Alternatively, the agency could decide to issue an Emergency Use Authorization to permit treatment administration before all BLA procedures are completed.Of the eight treatments in OWSâs portfolio, six have been announced and partnerships executed with the companies.
Moderna and Pfizer/BioNTech (both mRNA), AstraZeneca and Janssen (both replication-defective live-vector), and Novavax and Sanofi/GSK (both recombinant-subunit-adjuvanted protein). These candidates cover three of the four platform technologies and are currently in clinical trials. The remaining two candidates will enter trials soon.Moderna developed its RNA treatment in collaboration with the NIAID, began its phase 1 trial in March, recently published encouraging safety and immunogenicity data,1 and entered phase 3 on July 27. Pfizer and BioNTechâs RNA treatment also produced encouraging phase 1 results2 and started its phase 3 trial on July 27. The ChAdOx replication-defective live-vector treatment developed by AstraZeneca and Oxford University is in phase 3 trials in the United Kingdom, Brazil, and South Africa, and it should enter U.S.
Phase 3 trials in August.3 The Janssen Ad26 hair loss treatment replication-defective live-vector treatment has demonstrated excellent protection in nonhuman primate models and began its U.S. Phase 1 trial on July 27. It should be in phase 3 trials in mid-September. Novavax completed a phase 1 trial of its recombinant-subunit-adjuvanted protein treatment in Australia and should enter phase 3 trials in the United States by the end of September.4 Sanofi/GSK is completing preclinical development steps and plans to commence a phase 1 trial in early September and to be well into phase 3 by yearâs end.5On the process-development front, the RNA treatments are already being manufactured at scale. The other candidates are well advanced in their scale-up development, and manufacturing sites are being refurbished.While development and manufacturing proceed, the HHSâDOD partnership is laying the groundwork for treatment distribution, subpopulation prioritization, financing, and logistic support.
We are working with bioethicists and experts from the NIH, the CDC, BARDA, and the Centers for Medicare and Medicaid Services to address these critical issues. We will receive recommendations from the CDC Advisory Committee on Immunization Practices, and we are working to ensure that the most vulnerable and at-risk persons will receive treatment doses once they are ready. Prioritization will also depend on the relative performance of each treatment and its suitability for particular populations. Because some technologies have limited previous data on safety in humans, the long-term safety of these treatments will be carefully assessed using pharmacovigilance surveillance strategies.No scientific enterprise could guarantee success by January 2021, but the strategic decisions and choices weâve made, the support the government has provided, and the accomplishments to date make us optimistic that we will succeed in this unprecedented endeavor..
Patients Figure buy propecia without a prescription website link 1. Figure 1. Enrollment and buy propecia without a prescription Randomization. Of the 1107 patients who were assessed for eligibility, 1063 underwent randomization. 541 were assigned to the remdesivir group and 522 buy propecia without a prescription to the placebo group (Figure 1).
Of those assigned to receive remdesivir, 531 patients (98.2%) received the treatment as assigned. Forty-nine patients had remdesivir treatment discontinued before day 10 because of an adverse event or a serious adverse event other than death (36 patients) or buy propecia without a prescription because the patient withdrew consent (13). Of those assigned to receive placebo, 518 patients (99.2%) received placebo as assigned. Fifty-three patients discontinued placebo before day 10 because of an adverse event or a serious adverse event other than death (36 patients), because the patient withdrew consent (15), or because the patient was found to be ineligible for trial enrollment (2). As of April 28, 2020, a total of 391 patients in the remdesivir group and 340 in the placebo group had buy propecia without a prescription completed the trial through day 29, recovered, or died.
Eight patients who received remdesivir and 9 who received placebo terminated their participation in the trial before day 29. There were buy propecia without a prescription 132 patients in the remdesivir group and 169 in the placebo group who had not recovered and had not completed the day 29 follow-up visit. The analysis population included 1059 patients for whom we have at least some postbaseline data available (538 in the remdesivir group and 521 in the placebo group). Four of the 1063 patients were not included in buy propecia without a prescription the primary analysis because no postbaseline data were available at the time of the database freeze. Table 1.
Table 1 buy propecia without a prescription. Demographic and Clinical Characteristics at Baseline. The mean age of patients was 58.9 years, and 64.3% were male (Table 1). On the basis of the evolving epidemiology buy propecia without a prescription of hair loss treatment during the trial, 79.8% of patients were enrolled at sites in North America, 15.3% in Europe, and 4.9% in Asia (Table S1). Overall, 53.2% of the patients were white, 20.6% were black, 12.6% were Asian, and 13.6% were designated as other or not reported.
249 (23.4%) buy propecia without a prescription were Hispanic or Latino. Most patients had either one (27.0%) or two or more (52.1%) of the prespecified coexisting conditions at enrollment, most commonly hypertension (49.6%), obesity (37.0%), and type 2 diabetes mellitus (29.7%). The median number of days between symptom onset and randomization was 9 (interquartile buy propecia without a prescription range, 6 to 12). Nine hundred forty-three (88.7%) patients had severe disease at enrollment as defined in the Supplementary Appendix. 272 (25.6%) patients met category buy propecia without a prescription 7 criteria on the ordinal scale, 197 (18.5%) category 6, 421 (39.6%) category 5, and 127 (11.9%) category 4.
There were 46 (4.3%) patients who had missing ordinal scale data at enrollment. No substantial imbalances in baseline characteristics were observed between the remdesivir group and the placebo group. Primary Outcome buy propecia without a prescription Figure 2. Figure 2. KaplanâMeier Estimates of Cumulative buy propecia without a prescription Recoveries.
Cumulative recovery estimates are shown in the overall population (Panel A), in patients with a baseline score of 4 on the ordinal scale (not receiving oxygen. Panel B), in those with a baseline score buy propecia without a prescription of 5 (receiving oxygen. Panel C), in those with a baseline score of 6 (receiving high-flow oxygen or noninvasive mechanical ventilation. Panel D), and in those with a baseline score of 7 buy propecia without a prescription (receiving mechanical ventilation or ECMO. Panel E).
Table 2. Table 2 buy propecia without a prescription. Outcomes Overall and According to Score on the Ordinal Scale in the Intention-to-Treat Population. Figure 3 buy propecia without a prescription. Figure 3.
Time to Recovery According to Subgroup buy propecia without a prescription. The widths of the confidence intervals have not been adjusted for multiplicity and therefore cannot be used to infer treatment effects. Race and ethnic group were reported by the patients buy propecia without a prescription. Patients in the remdesivir group had a shorter time to recovery than patients in the placebo group (median, 11 days, as compared with 15 days. Rate ratio for recovery, 1.32.
95% confidence interval buy propecia without a prescription [CI], 1.12 to 1.55. P<0.001. 1059 patients (Figure 2 and buy propecia without a prescription Table 2). Among patients with a baseline ordinal score of 5 (421 patients), the rate ratio for recovery was 1.47 (95% CI, 1.17 to 1.84). Among patients with a baseline score of 4 (127 patients) and those with a baseline score of 6 (197 buy propecia without a prescription patients), the rate ratio estimates for recovery were 1.38 (95% CI, 0.94 to 2.03) and 1.20 (95% CI, 0.79 to 1.81), respectively.
For those receiving mechanical ventilation or ECMO at enrollment (baseline ordinal scores of 7. 272 patients), the rate ratio for recovery was 0.95 (95% buy propecia without a prescription CI, 0.64 to 1.42). A test of interaction of treatment with baseline score on the ordinal scale was not significant. An analysis adjusting for baseline ordinal score as a stratification variable was conducted to evaluate the overall effect (of the percentage of patients in each ordinal score category at baseline) on the primary outcome. This adjusted analysis produced a similar treatment-effect estimate (rate buy propecia without a prescription ratio for recovery, 1.31.
95% CI, 1.12 to 1.54. 1017 patients) buy propecia without a prescription. Table S2 in the Supplementary Appendix shows results according to the baseline severity stratum of mild-to-moderate as compared with severe. Patients who underwent randomization during the first 10 days after the onset of symptoms had a rate ratio for recovery of 1.28 (95% CI, buy propecia without a prescription 1.05 to 1.57. 664 patients), whereas patients who underwent randomization more than 10 days after the onset of symptoms had a rate ratio for recovery of 1.38 (95% CI, 1.05 to 1.81.
380 patients) buy propecia without a prescription (Figure 3). Key Secondary Outcome The odds of improvement in the ordinal scale score were higher in the remdesivir group, as determined by a proportional odds model at the day 15 visit, than in the placebo group (odds ratio for improvement, 1.50. 95% CI, 1.18 to 1.91. P=0.001. 844 patients) (Table 2 and Fig.
S5). Mortality was numerically lower in the remdesivir group than in the placebo group, but the difference was not significant (hazard ratio for death, 0.70. 95% CI, 0.47 to 1.04. 1059 patients). The KaplanâMeier estimates of mortality by 14 days were 7.1% and 11.9% in the remdesivir and placebo groups, respectively (Table 2).
The KaplanâMeier estimates of mortality by 28 days are not reported in this preliminary analysis, given the large number of patients that had yet to complete day 29 visits. An analysis with adjustment for baseline ordinal score as a stratification variable showed a hazard ratio for death of 0.74 (95% CI, 0.50 to 1.10). Safety Outcomes Serious adverse events occurred in 114 patients (21.1%) in the remdesivir group and 141 patients (27.0%) in the placebo group (Table S3). 4 events (2 in each group) were judged by site investigators to be related to remdesivir or placebo. There were 28 serious respiratory failure adverse events in the remdesivir group (5.2% of patients) and 42 in the placebo group (8.0% of patients).
Acute respiratory failure, hypotension, viral pneumonia, and acute kidney injury were slightly more common among patients in the placebo group. No deaths were considered to be related to treatment assignment, as judged by the site investigators. Grade 3 or 4 adverse events occurred in 156 patients (28.8%) in the remdesivir group and in 172 in the placebo group (33.0%) (Table S4). The most common adverse events in the remdesivir group were anemia or decreased hemoglobin (43 events [7.9%], as compared with 47 [9.0%] in the placebo group). Acute kidney injury, decreased estimated glomerular filtration rate or creatinine clearance, or increased blood creatinine (40 events [7.4%], as compared with 38 [7.3%]).
Pyrexia (27 events [5.0%], as compared with 17 [3.3%]). Hyperglycemia or increased blood glucose level (22 events [4.1%], as compared with 17 [3.3%]). And increased aminotransferase levels including alanine aminotransferase, aspartate aminotransferase, or both (22 events [4.1%], as compared with 31 [5.9%]). Otherwise, the incidence of adverse events was not found to be significantly different between the remdesivir group and the placebo group.Trial Population Table 1. Table 1.
Characteristics of the Participants in the mRNA-1273 Trial at Enrollment. The 45 enrolled participants received their first vaccination between March 16 and April 14, 2020 (Fig. S1). Three participants did not receive the second vaccination, including one in the 25-μg group who had urticaria on both legs, with onset 5 days after the first vaccination, and two (one in the 25-μg group and one in the 250-μg group) who missed the second vaccination window owing to isolation for suspected hair loss treatment while the test results, ultimately negative, were pending. All continued to attend scheduled trial visits.
The demographic characteristics of participants at enrollment are provided in Table 1. treatment Safety No serious adverse events were noted, and no prespecified trial halting rules were met. As noted above, one participant in the 25-μg group was withdrawn because of an unsolicited adverse event, transient urticaria, judged to be related to the first vaccination. Figure 1. Figure 1.
Systemic and Local Adverse Events. The severity of solicited adverse events was graded as mild, moderate, or severe (see Table S1).After the first vaccination, solicited systemic adverse events were reported by 5 participants (33%) in the 25-μg group, 10 (67%) in the 100-μg group, and 8 (53%) in the 250-μg group. All were mild or moderate in severity (Figure 1 and Table S2). Solicited systemic adverse events were more common after the second vaccination and occurred in 7 of 13 participants (54%) in the 25-μg group, all 15 in the 100-μg group, and all 14 in the 250-μg group, with 3 of those participants (21%) reporting one or more severe events. None of the participants had fever after the first vaccination.
After the second vaccination, no participants in the 25-μg group, 6 (40%) in the 100-μg group, and 8 (57%) in the 250-μg group reported fever. One of the events (maximum temperature, 39.6°C) in the 250-μg group was graded severe. (Additional details regarding adverse events for that participant are provided in the Supplementary Appendix.) Local adverse events, when present, were nearly all mild or moderate, and pain at the injection site was common. Across both vaccinations, solicited systemic and local adverse events that occurred in more than half the participants included fatigue, chills, headache, myalgia, and pain at the injection site. Evaluation of safety clinical laboratory values of grade 2 or higher and unsolicited adverse events revealed no patterns of concern (Supplementary Appendix and Table S3).
hair loss Binding Antibody Responses Table 2. Table 2. Geometric Mean Humoral Immunogenicity Assay Responses to mRNA-1273 in Participants and in Convalescent Serum Specimens. Figure 2. Figure 2.
hair loss Antibody and Neutralization Responses. Shown are geometric mean reciprocal end-point enzyme-linked immunosorbent assay (ELISA) IgG titers to S-2P (Panel A) and receptor-binding domain (Panel B), PsVNA ID50 responses (Panel C), and live propecia PRNT80 responses (Panel D). In Panel A and Panel B, boxes and horizontal bars denote interquartile range (IQR) and median area under the curve (AUC), respectively. Whisker endpoints are equal to the maximum and minimum values below or above the median ±1.5 times the IQR. The convalescent serum panel includes specimens from 41 participants.
Red dots indicate the 3 specimens that were also tested in the PRNT assay. The other 38 specimens were used to calculate summary statistics for the box plot in the convalescent serum panel. In Panel C, boxes and horizontal bars denote IQR and median ID50, respectively. Whisker end points are equal to the maximum and minimum values below or above the median ±1.5 times the IQR. In the convalescent serum panel, red dots indicate the 3 specimens that were also tested in the PRNT assay.
The other 38 specimens were used to calculate summary statistics for the box plot in the convalescent panel. In Panel D, boxes and horizontal bars denote IQR and median PRNT80, respectively. Whisker end points are equal to the maximum and minimum values below or above the median ±1.5 times the IQR. The three convalescent serum specimens were also tested in ELISA and PsVNA assays. Because of the time-intensive nature of the PRNT assay, for this preliminary report, PRNT results were available only for the 25-μg and 100-μg dose groups.Binding antibody IgG geometric mean titers (GMTs) to S-2P increased rapidly after the first vaccination, with seroconversion in all participants by day 15 (Table 2 and Figure 2A).
Dose-dependent responses to the first and second vaccinations were evident. Receptor-binding domainâspecific antibody responses were similar in pattern and magnitude (Figure 2B). For both assays, the median magnitude of antibody responses after the first vaccination in the 100-μg and 250-μg dose groups was similar to the median magnitude in convalescent serum specimens, and in all dose groups the median magnitude after the second vaccination was in the upper quartile of values in the convalescent serum specimens. The S-2P ELISA GMTs at day 57 (299,751 [95% confidence interval {CI}, 206,071 to 436,020] in the 25-μg group, 782,719 [95% CI, 619,310 to 989,244] in the 100-μg group, and 1,192,154 [95% CI, 924,878 to 1,536,669] in the 250-μg group) exceeded that in the convalescent serum specimens (142,140 [95% CI, 81,543 to 247,768]). hair loss Neutralization Responses No participant had detectable PsVNA responses before vaccination.
After the first vaccination, PsVNA responses were detected in less than half the participants, and a dose effect was seen (50% inhibitory dilution [ID50]. Figure 2C, Fig. S8, and Table 2. 80% inhibitory dilution [ID80]. Fig.
S2 and Table S6). However, after the second vaccination, PsVNA responses were identified in serum samples from all participants. The lowest responses were in the 25-μg dose group, with a geometric mean ID50 of 112.3 (95% CI, 71.2 to 177.1) at day 43. The higher responses in the 100-μg and 250-μg groups were similar in magnitude (geometric mean ID50, 343.8 [95% CI, 261.2 to 452.7] and 332.2 [95% CI, 266.3 to 414.5], respectively, at day 43). These responses were similar to values in the upper half of the distribution of values for convalescent serum specimens.
Before vaccination, no participant had detectable 80% live-propecia neutralization at the highest serum concentration tested (1:8 dilution) in the PRNT assay. At day 43, wild-type propeciaâneutralizing activity capable of reducing hair loss infectivity by 80% or more (PRNT80) was detected in all participants, with geometric mean PRNT80 responses of 339.7 (95% CI, 184.0 to 627.1) in the 25-μg group and 654.3 (95% CI, 460.1 to 930.5) in the 100-μg group (Figure 2D). Neutralizing PRNT80 average responses were generally at or above the values of the three convalescent serum specimens tested in this assay. Good agreement was noted within and between the values from binding assays for S-2P and receptor-binding domain and neutralizing activity measured by PsVNA and PRNT (Figs. S3 through S7), which provides orthogonal support for each assay in characterizing the humoral response induced by mRNA-1273.
hair loss T-Cell Responses The 25-μg and 100-μg doses elicited CD4 T-cell responses (Figs. S9 and S10) that on stimulation by S-specific peptide pools were strongly biased toward expression of Th1 cytokines (tumor necrosis factor α >. Interleukin 2 >. Interferon γ), with minimal type 2 helper T-cell (Th2) cytokine expression (interleukin 4 and interleukin 13). CD8 T-cell responses to S-2P were detected at low levels after the second vaccination in the 100-μg dose group (Fig.
S11).Trial Design and Oversight The RECOVERY trial was designed to evaluate the effects of potential treatments in patients hospitalized with hair loss treatment at 176 National Health Service organizations in the United Kingdom and was supported by the National Institute for Health Research Clinical Research Network. (Details regarding this trial are provided in the Supplementary Appendix, available with the full text of this article at NEJM.org.) The trial is being coordinated by the Nuffield Department of Population Health at the University of Oxford, the trial sponsor. Although the randomization of patients to receive dexamethasone, hydroxychloroquine, or lopinavirâritonavir has now been website link stopped, the trial continues randomization to groups receiving azithromycin, tocilizumab, or convalescent plasma. Hospitalized patients were eligible for the trial if they had clinically suspected or laboratory-confirmed hair loss and no medical history that might, in the opinion of the attending clinician, put patients at substantial risk if they were to participate in the trial. Initially, recruitment was limited to patients who were at least 18 years of age, but the age limit was removed starting on May 9, 2020.
Pregnant or breast-feeding women were eligible. Written informed consent was obtained from all the patients or from a legal representative if they were unable to provide consent. The trial was conducted in accordance with the principles of the Good Clinical Practice guidelines of the International Conference on Harmonisation and was approved by the U.K. Medicines and Healthcare Products Regulatory Agency and the Cambridge East Research Ethics Committee. The protocol with its statistical analysis plan is available at NEJM.org and on the trial website at www.recoverytrial.net.
The initial version of the manuscript was drafted by the first and last authors, developed by the writing committee, and approved by all members of the trial steering committee. The funders had no role in the analysis of the data, in the preparation or approval of the manuscript, or in the decision to submit the manuscript for publication. The first and last members of the writing committee vouch for the completeness and accuracy of the data and for the fidelity of the trial to the protocol and statistical analysis plan. Randomization We collected baseline data using a Web-based case-report form that included demographic data, the level of respiratory support, major coexisting illnesses, suitability of the trial treatment for a particular patient, and treatment availability at the trial site. Randomization was performed with the use of a Web-based system with concealment of the trial-group assignment.
Eligible and consenting patients were assigned in a 2:1 ratio to receive either the usual standard of care alone or the usual standard of care plus oral or intravenous dexamethasone (at a dose of 6 mg once daily) for up to 10 days (or until hospital discharge if sooner) or to receive one of the other suitable and available treatments that were being evaluated in the trial. For some patients, dexamethasone was unavailable at the hospital at the time of enrollment or was considered by the managing physician to be either definitely indicated or definitely contraindicated. These patients were excluded from entry in the randomized comparison between dexamethasone and usual care and hence were not included in this report. The randomly assigned treatment was prescribed by the treating clinician. Patients and local members of the trial staff were aware of the assigned treatments.
Procedures A single online follow-up form was to be completed when the patients were discharged or had died or at 28 days after randomization, whichever occurred first. Information was recorded regarding the patientsâ adherence to the assigned treatment, receipt of other trial treatments, duration of admission, receipt of respiratory support (with duration and type), receipt of renal support, and vital status (including the cause of death). In addition, we obtained routine health care and registry data, including information on vital status (with date and cause of death), discharge from the hospital, and respiratory and renal support therapy. Outcome Measures The primary outcome was all-cause mortality within 28 days after randomization. Further analyses were specified at 6 months.
Secondary outcomes were the time until discharge from the hospital and, among patients not receiving invasive mechanical ventilation at the time of randomization, subsequent receipt of invasive mechanical ventilation (including extracorporeal membrane oxygenation) or death. Other prespecified clinical outcomes included cause-specific mortality, receipt of renal hemodialysis or hemofiltration, major cardiac arrhythmia (recorded in a subgroup), and receipt and duration of ventilation. Statistical Analysis As stated in the protocol, appropriate sample sizes could not be estimated when the trial was being planned at the start of the hair loss treatment propecia. As the trial progressed, the trial steering committee, whose members were unaware of the results of the trial comparisons, determined that if 28-day mortality was 20%, then the enrollment of at least 2000 patients in the dexamethasone group and 4000 in the usual care group would provide a power of at least 90% at a two-sided P value of 0.01 to detect a clinically relevant proportional reduction of 20% (an absolute difference of 4 percentage points) between the two groups. Consequently, on June 8, 2020, the steering committee closed recruitment to the dexamethasone group, since enrollment had exceeded 2000 patients.
For the primary outcome of 28-day mortality, the hazard ratio from Cox regression was used to estimate the mortality rate ratio. Among the few patients (0.1%) who had not been followed for 28 days by the time of the data cutoff on July 6, 2020, data were censored either on that date or on day 29 if the patient had already been discharged. That is, in the absence of any information to the contrary, these patients were assumed to have survived for 28 days. KaplanâMeier survival curves were constructed to show cumulative mortality over the 28-day period. Cox regression was used to analyze the secondary outcome of hospital discharge within 28 days, with censoring of data on day 29 for patients who had died during hospitalization.
For the prespecified composite secondary outcome of invasive mechanical ventilation or death within 28 days (among patients who were not receiving invasive mechanical ventilation at randomization), the precise date of invasive mechanical ventilation was not available, so a log-binomial regression model was used to estimate the risk ratio. Table 1. Table 1. Characteristics of the Patients at Baseline, According to Treatment Assignment and Level of Respiratory Support. Through the play of chance in the unstratified randomization, the mean age was 1.1 years older among patients in the dexamethasone group than among those in the usual care group (Table 1).
To account for this imbalance in an important prognostic factor, estimates of rate ratios were adjusted for the baseline age in three categories (<70 years, 70 to 79 years, and â¥80 years). This adjustment was not specified in the first version of the statistical analysis plan but was added once the imbalance in age became apparent. Results without age adjustment (corresponding to the first version of the analysis plan) are provided in the Supplementary Appendix. Prespecified analyses of the primary outcome were performed in five subgroups, as defined by characteristics at randomization. Age, sex, level of respiratory support, days since symptom onset, and predicted 28-day mortality risk.
(One further prespecified subgroup analysis regarding race will be conducted once the data collection has been completed.) In prespecified subgroups, we estimated rate ratios (or risk ratios in some analyses) and their confidence intervals using regression models that included an interaction term between the treatment assignment and the subgroup of interest. Chi-square tests for linear trend across the subgroup-specific log estimates were then performed in accordance with the prespecified plan. All P values are two-sided and are shown without adjustment for multiple testing. All analyses were performed according to the intention-to-treat principle. The full database is held by the trial team, which collected the data from trial sites and performed the analyses at the Nuffield Department of Population Health, University of Oxford.Trial Design and Oversight We conducted a randomized, double-blind, placebo-controlled trial to evaluate postexposure prophylaxis with hydroxychloroquine after exposure to hair loss treatment.12 We randomly assigned participants in a 1:1 ratio to receive either hydroxychloroquine or placebo.
Participants had known exposure (by participant report) to a person with laboratory-confirmed hair loss treatment, whether as a household contact, a health care worker, or a person with other occupational exposures. Trial enrollment began on March 17, 2020, with an eligibility threshold to enroll within 3 days after exposure. The objective was to intervene before the median incubation period of 5 to 6 days. Because of limited access to prompt testing, health care workers could initially be enrolled on the basis of presumptive high-risk exposure to patients with pending tests. However, on March 23, eligibility was changed to exposure to a person with a positive polymerase-chain-reaction (PCR) assay for hair loss, with the eligibility window extended to within 4 days after exposure.
This trial was approved by the institutional review board at the University of Minnesota and conducted under a Food and Drug Administration Investigational New Drug application. In Canada, the trial was approved by Health Canada. Ethics approvals were obtained from the Research Institute of the McGill University Health Centre, the University of Manitoba, and the University of Alberta. Participants We included participants who had household or occupational exposure to a person with confirmed hair loss treatment at a distance of less than 6 ft for more than 10 minutes while wearing neither a face mask nor an eye shield (high-risk exposure) or while wearing a face mask but no eye shield (moderate-risk exposure). Participants were excluded if they were younger than 18 years of age, were hospitalized, or met other exclusion criteria (see the Supplementary Appendix, available with the full text of this article at NEJM.org).
Persons with symptoms of hair loss treatment or with PCR-proven hair loss were excluded from this prevention trial but were separately enrolled in a companion clinical trial to treat early . Setting Recruitment was performed primarily with the use of social media outreach as well as traditional media platforms. Participants were enrolled nationwide in the United States and in the Canadian provinces of Quebec, Manitoba, and Alberta. Participants enrolled themselves through a secure Internet-based survey using the Research Electronic Data Capture (REDCap) system.13 After participants read the consent form, their comprehension of its contents was assessed. Participants provided a digitally captured signature to indicate informed consent.
We sent follow-up e-mail surveys on days 1, 5, 10, and 14. A survey at 4 to 6 weeks asked about any follow-up testing, illness, or hospitalizations. Participants who did not respond to follow-up surveys received text messages, e-mails, telephone calls, or a combination of these to ascertain their outcomes. When these methods were unsuccessful, the emergency contact provided by the enrollee was contacted to determine the participantâs illness and vital status. When all communication methods were exhausted, Internet searches for obituaries were performed to ascertain vital status.
Interventions Randomization occurred at research pharmacies in Minneapolis and Montreal. The trial statisticians generated a permuted-block randomization sequence using variably sized blocks of 2, 4, or 8, with stratification according to country. A research pharmacist sequentially assigned participants. The assignments were concealed from investigators and participants. Only pharmacies had access to the randomization sequence.
Hydroxychloroquine sulfate or placebo was dispensed and shipped overnight to participants by commercial courier. The dosing regimen for hydroxychloroquine was 800 mg (4 tablets) once, then 600 mg (3 tablets) 6 to 8 hours later, then 600 mg (3 tablets) daily for 4 more days for a total course of 5 days (19 tablets total). If participants had gastrointestinal upset, they were advised to divide the daily dose into two or three doses. We chose this hydroxychloroquine dosing regimen on the basis of pharmacokinetic simulations to achieve plasma concentrations above the hair loss in vitro half maximal effective concentration for 14 days.14 Placebo folate tablets, which were similar in appearance to the hydroxychloroquine tablets, were prescribed as an identical regimen for the control group. Rising Pharmaceuticals provided a donation of hydroxychloroquine, and some hydroxychloroquine was purchased.
Outcomes The primary outcome was prespecified as symptomatic illness confirmed by a positive molecular assay or, if testing was unavailable, hair loss treatmentârelated symptoms. We assumed that health care workers would have access to hair loss treatment testing if symptomatic. However, access to testing was limited throughout the trial period. hair loss treatmentârelated symptoms were based on U.S. Council for State and Territorial Epidemiologists criteria for confirmed cases (positivity for hair loss on PCR assay), probable cases (the presence of cough, shortness of breath, or difficulty breathing, or the presence of two or more symptoms of fever, chills, rigors, myalgia, headache, sore throat, and new olfactory and taste disorders), and possible cases (the presence of one or more compatible symptoms, which could include diarrhea).15 All the participants had epidemiologic linkage,15 per trial eligibility criteria.
Four infectious disease physicians who were unaware of the trial-group assignments reviewed symptomatic participants to generate a consensus with respect to whether their condition met the case definition.15 Secondary outcomes included the incidence of hospitalization for hair loss treatment or death, the incidence of PCR-confirmed hair loss , the incidence of hair loss treatment symptoms, the incidence of discontinuation of the trial intervention owing to any cause, and the severity of symptoms (if any) at days 5 and 14 according to a visual analogue scale (scores ranged from 0 [no symptoms] to 10 [severe symptoms]). Data on adverse events were also collected with directed questioning for common side effects along with open-ended free text. Outcome data were measured within 14 days after trial enrollment. Outcome data including PCR testing results, possible hair loss treatmentârelated symptoms, adherence to the trial intervention, side effects, and hospitalizations were all collected through participant report. Details of trial conduct are provided in the protocol and statistical analysis plan, available at NEJM.org.
Sample Size We anticipated that illness compatible with hair loss treatment would develop in 10% of close contacts exposed to hair loss treatment.9 Using Fisherâs exact method with a 50% relative effect size to reduce new symptomatic s, a two-sided alpha of 0.05, and 90% power, we estimated that 621 persons would need to be enrolled in each group. With a pragmatic, Internet-based, self-referral recruitment strategy, we planned for a 20% incidence of attrition by increasing the sample size to 750 participants per group. We specified a priori that participants who were already symptomatic on day 1 before receiving hydroxychloroquine or placebo would be excluded from the prophylaxis trial and would instead be separately enrolled in the companion symptomatic treatment trial. Because the estimates for both incident symptomatic hair loss treatment after an exposure and loss to follow-up were relatively unknown in early March 2020,9 the protocol prespecified a sample-size reestimation at the second interim analysis. This reestimation, which used the incidence of new s in the placebo group and the observed percentage of participants lost to follow-up, was aimed at maintaining the ability to detect an effect size of a 50% relative reduction in new symptomatic s.
Interim Analyses An independent data and safety monitoring board externally reviewed the data after 25% and 50% of the participants had completed 14 days of follow-up. Stopping guidelines were provided to the data and safety monitoring board with the use of a LanâDeMets spending function analogue of the OâBrienâFleming boundaries for the primary outcome. A conditional power analysis was performed at the second and third interim analysis with the option of early stopping for futility. At the second interim analysis on April 22, 2020, the sample size was reduced to 956 participants who could be evaluated with 90% power on the basis of the higher-than-expected event rate of s in the control group. At the third interim analysis on May 6, the trial was halted on the basis of a conditional power of less than 1%, since it was deemed futile to continue.
Statistical Analysis We assessed the incidence of hair loss treatment disease by day 14 with Fisherâs exact test. Secondary outcomes with respect to percentage of patients were also compared with Fisherâs exact test. Among participants in whom incident illness compatible with hair loss treatment developed, we summarized the symptom severity score at day 14 with the median and interquartile range and assessed the distributions with a KruskalâWallis test. We conducted all analyses with SAS software, version 9.4 (SAS Institute), according to the intention-to-treat principle, with two-sided type I error with an alpha of 0.05. For participants with missing outcome data, we conducted a sensitivity analysis with their outcomes excluded or included as an event.
Subgroups that were specified a priori included type of contact (household vs. Health care), days from exposure to enrollment, age, and sex.Announced on May 15, Operation Warp Speed (OWS) â a partnership of the Department of Health and Human Services (HHS), the Department of Defense (DOD), and the private sector â aims to accelerate control of the hair loss treatment propecia by advancing development, manufacturing, and distribution of treatments, therapeutics, and diagnostics. OWS is providing support to promising candidates and enabling the expeditious, parallel execution of the necessary steps toward approval or authorization of safe products by the Food and Drug Administration (FDA).The partnership grew out of an acknowledged need to fundamentally restructure the way the U.S. Government typically supports product development and treatment distribution. The initiative was premised on setting a âstretch goalâ â one that initially seemed impossible but that is becoming increasingly achievable.The concept of an integrated structure for hair loss treatment countermeasure research and development across the U.S.
Government was based on experience with Zika and the Zika Leadership Group led by the National Institutes of Health (NIH) and the assistant secretary for preparedness and response (ASPR). One of us (M.S.) serves as OWS chief advisor. We are drawing on expertise from the NIH, ASPR, the Centers for Disease Control and Prevention (CDC), the Biomedical Advanced Research and Development Authority (BARDA), and the DOD, including the Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense and the Defense Advanced Research Projects Agency. OWS has engaged experts in all critical aspects of medical countermeasure research, development, manufacturing, and distribution to work in close coordination.The initiative set ambitious objectives. To deliver tens of millions of doses of a hair loss treatment â with demonstrated safety and efficacy, and approved or authorized by the FDA for use in the U.S.
Population â beginning at the end of 2020 and to have as many as 300 million doses of such treatments available and deployed by mid-2021. The pace and scope of such a treatment effort are unprecedented. The 2014 West African Ebola propecia epidemic spurred rapid treatment development, but though preclinical data existed before the outbreak, a period of 12 months was required to progress from phase 1 first-in-human trials to phase 3 efficacy trials. OWS aims to compress this time frame even further. hair loss treatment development began in January, phase 1 clinical studies in March, and the first phase 3 trials in July.
Our objectives are based on advances in treatment platform technology, improved understanding of safe and efficacious treatment design, and similarities between the SARS-CoV-1 and hair loss disease mechanisms.OWSâs role is to enable, accelerate, harmonize, and advise the companies developing the selected treatments. The companies will execute the clinical or process development and manufacturing plans, while OWS leverages the full capacity of the U.S. Government to ensure that no technical, logistic, or financial hurdles hinder treatment development or deployment.OWS selected treatment candidates on the basis of four criteria. We required candidates to have robust preclinical data or early-stage clinical trial data supporting their potential for clinical safety and efficacy. Candidates had to have the potential, with our acceleration support, to enter large phase 3 field efficacy trials this summer or fall (July to November 2020) and, assuming continued active transmission of the propecia, to deliver efficacy outcomes by the end of 2020 or the first half of 2021.
Candidates had to be based on treatment-platform technologies permitting fast and effective manufacturing, and their developers had to demonstrate the industrial process scalability, yields, and consistency necessary to reliably produce more than 100 million doses by mid-2021. Finally, candidates had to use one of four treatment-platform technologies that we believe are the most likely to yield a safe and effective treatment against hair loss treatment. The mRNA platform, the replication-defective live-vector platform, the recombinant-subunit-adjuvanted protein platform, or the attenuated replicating live-vector platform.OWSâs strategy relies on a few key principles. First, we sought to build a diverse project portfolio that includes two treatment candidates based on each of the four platform technologies. Such diversification mitigates the risk of failure due to safety, efficacy, industrial manufacturability, or scheduling factors and may permit selection of the best treatment platform for each subpopulation at risk for contracting or transmitting hair loss treatment, including older adults, frontline and essential workers, young adults, and pediatric populations.
In addition, advancing eight treatments in parallel will increase the chances of delivering 300 million doses in the first half of 2021.Second, we must accelerate treatment program development without compromising safety, efficacy, or product quality. Clinical development, process development, and manufacturing scale-up can be substantially accelerated by running all streams, fully resourced, in parallel. Doing so requires taking on substantial financial risk, as compared with the conventional sequential development approach. OWS will maximize the size of phase 3 trials (30,000 to 50,000 participants each) and optimize trial-site location by consulting daily epidemiologic and disease-forecasting models to ensure the fastest path to an efficacy readout. Such large trials also increase the safety data set for each candidate treatment.With heavy up-front investment, companies can conduct clinical operations and site preparation for these phase 3 efficacy trials even as they file their Investigational New Drug application (IND) for their phase 1 studies, thereby ensuring immediate initiation of phase 3 when they get a green light from the FDA.
To permit appropriate comparisons among the treatment candidates and to optimize treatment utilization after approval by the FDA, the phase 3 trial end points and assay readouts have been harmonized through a collaborative effort involving the National Institute of Allergy and Infectious Diseases (NIAID), the hair loss Prevention Network, OWS, and the sponsor companies.Finally, OWS is supporting the companies financially and technically to commence process development and scale up manufacturing while their treatments are in preclinical or very early clinical stages. To ensure that industrial processes are set, running, and validated for FDA inspection when phase 3 trials end, OWS is also supporting facility building or refurbishing, equipment fitting, staff hiring and training, raw-material sourcing, technology transfer and validation, bulk product processing into vials, and acquisition of ample vials, syringes, and needles for each treatment candidate. We aim to have stockpiled, at OWSâs expense, a few tens of millions of treatment doses that could be swiftly deployed once FDA approval is obtained.This strategy aims to accelerate treatment development without curtailing the critical steps required by sound science and regulatory standards. The FDA recently reissued guidance and standards that will be used to assess each treatment for a Biologics License Application (BLA). Alternatively, the agency could decide to issue an Emergency Use Authorization to permit treatment administration before all BLA procedures are completed.Of the eight treatments in OWSâs portfolio, six have been announced and partnerships executed with the companies.
Moderna and Pfizer/BioNTech (both mRNA), AstraZeneca and Janssen (both replication-defective live-vector), and Novavax and Sanofi/GSK (both recombinant-subunit-adjuvanted protein). These candidates cover three of the four platform technologies and are currently in clinical trials. The remaining two candidates will enter trials soon.Moderna developed its RNA treatment in collaboration with the NIAID, began its phase 1 trial in March, recently published encouraging safety and immunogenicity data,1 and entered phase 3 on July 27. Pfizer and BioNTechâs RNA treatment also produced encouraging phase 1 results2 and started its phase 3 trial on July 27. The ChAdOx replication-defective live-vector treatment developed by AstraZeneca and Oxford University is in phase 3 trials in the United Kingdom, Brazil, and South Africa, and it should enter U.S.
Phase 3 trials in August.3 The Janssen Ad26 hair loss treatment replication-defective live-vector treatment has demonstrated excellent protection in nonhuman primate models and began its U.S. Phase 1 trial on July 27. It should be in phase 3 trials in mid-September. Novavax completed a phase 1 trial of its recombinant-subunit-adjuvanted protein treatment in Australia and should enter phase 3 trials in the United States by the end of September.4 Sanofi/GSK is completing preclinical development steps and plans to commence a phase 1 trial in early September and to be well into phase 3 by yearâs end.5On the process-development front, the RNA treatments are already being manufactured at scale. The other candidates are well advanced in their scale-up development, and manufacturing sites are being refurbished.While development and manufacturing proceed, the HHSâDOD partnership is laying the groundwork for treatment distribution, subpopulation prioritization, financing, and logistic support.
We are working with bioethicists and experts from the NIH, the CDC, BARDA, and the Centers for Medicare and Medicaid Services to address these critical issues. We will receive recommendations from the CDC Advisory Committee on Immunization Practices, and we are working to ensure that the most vulnerable and at-risk persons will receive treatment doses once they are ready. Prioritization will also depend on the relative performance of each treatment and its suitability for particular populations. Because some technologies have limited previous data on safety in humans, the long-term safety of these treatments will be carefully assessed using pharmacovigilance surveillance strategies.No scientific enterprise could guarantee success by January 2021, but the strategic decisions and choices weâve made, the support the government has provided, and the accomplishments to date make us optimistic that we will succeed in this unprecedented endeavor..
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Diffuse hair loss propecia
Alphonso Harried recently came http://www.sc-zwickl.zwettl.at/?p=512 across a newspaper clipping about his grandfather receiving his 1,000th dialysis treatment diffuse hair loss propecia. His grandfather later died â at a dialysis center â as did his uncle, both from kidney disease. âAnd that comes in my mind, on my diffuse hair loss propecia weak days.
ÂAre you going to pass away just like they did?. Ââ said Harried, 46, who also has the disease. He doesnât like to dwell diffuse hair loss propecia on that.
He has gigs to play as a musician, a ministry to run with his wife and kids to protect as a school security guard. Yet he must juggle all that around three trips each week to a dialysis center in Alton, Illinois, about 20 miles from his home in St. Louis, to clean his blood of diffuse hair loss propecia the impurities his kidneys can no longer flush out.
Heâs waiting for a transplant, just as his uncle did before him. ÂItâs just frustrating,â Harried said. ÂIâm stuck in the same pattern.â Thousands of other Americans with failing kidneys are also stuck, diffuse hair loss propecia going to dialysis as they await new kidneys that may never come.
Thatâs especially true of Black patients, like Harried, who are about four times as likely to have kidney failure as white Americans, and who make up more than 35% of people on dialysis but just 13% of the U.S. Population. Theyâre also less likely to get on the waitlist for a kidney transplant, and less likely to receive a transplant once on the list.
An algorithm doctors use may help perpetuate such disparities. It uses race as a factor in evaluating all stages of kidney disease care. Diagnosis, dialysis and transplantation.
Itâs a simple metric that uses a blood test, plus the patientâs age and sex and whether theyâre Black. It makes Black patients appear to have healthier kidneys than non-Black patients, even when their blood measurements are identical. ÂIt is as close to stereotyping a particular group of people as it can be,â said Dr.
Rajnish Mehrotra, a nephrologist with the University of Washington School of Medicine. Harried spends almost 15 hours each week at a dialysis center about 20 miles from his home in St. Louis.
ÂItâs just frustrating,â said Harried, whose grandfather and uncle also needed dialysis. ÂIâm stuck in the same pattern.â(Michael B. Thomas for KHN) This race coefficient has recently come under fire for being imprecise, leading to potentially worse outcomes for Black patients and less chance of receiving a new kidney.
A national task force of kidney experts and patients is studying how to replace it. Some institutions have already stopped using it. But how best to assess a patientâs kidney function remains uncertain, and some medical experts say fixing this equation is only one step in creating more equitable care, a process complicated by factors far deeper than a math problem.
ÂThere are so many inequities in kidney disease that stem from broader structural racism,â said Dr. Deidra Crews, a nephrologist and the associate director for research development at the Johns Hopkins Center for Health Equity. ÂIt is just a sliver of what the broader set of issues are when it comes to both disparities and inequities in who gets kidney disease in the first place, and then in the care processes.â Why Race Has Been Part of the Equation Kidneys filter about 40 gallons of blood a day, like a Brita filter for the body.
They keep in the good stuff and send out the bad through urine. But unlike other organs, kidneys donât easily repair themselves. ÂThereâs a point of no return,â said Dr.
Cynthia Delgado, a University of California-San Francisco nephrologist who is leading the task force working on the national recommendation to ditch the racial part of the equation. Furthermore, itâs hard to gauge whether kidneys are working properly. Gold-standard tests involve a chemical infusion and hours of collecting blood and urine to see how quickly the kidneys flush the chemical out.
An algorithm is much more efficient. Buoyed by activism around structural racism, those seeking equity in health care have recently been calling out the algorithm as an example of the racism baked into American medicine. Researchers writing in the New England Journal of Medicine last year included kidney equations in a laundry list of race-adjusted algorithms used to evaluate parts of the body â from heart and lungs to bones and breasts.
Such equations, they wrote, can âperpetuate or even amplify race-based health inequities.â In March, ahead of the national task forceâs upcoming formal recommendation, leaders in kidney care said race modifiers should be removed. And Fresenius Medical Care, one of the two largest U.S. Dialysis companies, said the race component is âproblematic.â Until the late 1990s, doctors primarily used the Cockcroft-Gault equation.
It didnât ask for race, but used age, weight and the blood level of creatinine â a chemical thatâs basically the trash left after muscles move. A high level of creatinine in the blood signals that kidneys are not doing their job of disposing of it. But the equation was based on a study of just 249 white men.
Then, researchers wrapping up a study on how to slow down kidney disease realized they were sitting on a mother lode of data that could rewrite that equation. Gold-standard kidney function measurements from about 1,600 patients, 12% of whom were Black. They evaluated 16 variables, including age, sex, diabetes diagnosis and blood pressure.
They landed on something that accurately predicted the kidney function of patients better than the old equation. Except it made the kidneys of Black participants appear to be sicker than the gold-standard test showed they were. The authors reasoned it might be caused by muscle mass.
Participants with more muscle mass would likely have more creatinine in their blood, not because their kidneys were failing to remove it, but because they just had more muscles producing more waste. So they âcorrectedâ Black patientsâ results for that difference. Dr.
Andrew S. Levey, a professor at Tufts University School of Medicine who led the study, said it doesnât make intuitive sense to include race â now widely considered a social construct â in an equation about biology. Still, in 1999, he and others published the race equation, then updated it a decade later.
Though other equations exist that donât involve race, Leveyâs latest version, often referred to as the âCKD-EPIâ equation, is recommended for clinical use. It shows a Black patientâs kidneys functioning 16% better than those of a non-Black patient with the same blood work. Removing the Race Number Many patients donât know about this equation and how their race has factored into their care.
ÂI really wish someone would have mentioned it,â Harried said. He said it burned him up âknowing that this one little test that I didnât know anything about could keep me from â or prolong me â getting a kidney.â Harried keeps a bag packed with supplies he might need if his turn for a kidney transplant comes up. A national group of experts is currently deciding how to alter a medical algorithm that some experts say delays Black patients like Harried from getting a transplant.(Michael B.
Thomas for KHN) Glenda V. Roberts curbed her kidney disease with a vegan diet and by conducting meetings as an IT executive while walking. But after more than 40 years of slow decline, her kidney function finally reached the cutoff required to get on the transplant waitlist.
When it did, the decline was swift â a pattern researchers have noted in Black patients. ÂIt really makes you wonder what the benefit is of having an equation that will cause people who look like me â Black people â to get referrals later, to have to wait longer before you can get on the transplant list, but then have your disease progress more rapidly,â she said. Roberts, who is now the director of external relations at the University of Washingtonâs Kidney Research Institute in Seattle and on the national task force, said a genetic test added to her feeling that a âBlack/non-Blackâ option in an equation was a charade.
ÂIn fact, I am not predominantly of African ancestry. Iâm 25% Native American. Iâm Swedish and English and French,â said Roberts.
ÂBut I am also 48% from countries that are on the continent of Africa.â The Black/non-Black question also doesnât make sense to Delgado, the University of California nephrologist. ÂI would probably for some people qualify as being non-Black,â said Delgado, who is Puerto Rican. ÂBut for others, I would qualify as Black.â So, theoretically, if Delgado were to visit two doctors on the same day, and they guessed her race instead of asking, she could come away with two different readings of how well her kidneys are working.
Researchers found that the race factor doesnât work for Black Europeans or patients in West Africa. Australian researchers found using the race coefficient led them to overestimate the kidney function of Indigenous Australians. But in the U.S., Levey and other researchers seeking to replace the race option with physical measurements, such as height and weight, hit a dead end.
To Crews, the Johns Hopkins nephrologist who is also on the national taskforce, the focus on one equation is myopic. The algorithm suggests that something about Black peopleâs bodies affects their kidneys. Crews thinks thatâs the wrong approach to addressing disparities.
The issue is not whatâs unique about the inner workings of Black bodies, but instead whatâs going on around them. ÂI really wish we could measure that instead of using race as a variable in the estimating equations,â she said on the âFreely Filteredâ podcast. ÂI donât think itâs ancestry.
I donât think itâs muscle mass.â It might not be that Black bodies are more likely to have more creatinine in the blood, but that Americans who experience housing insecurity and barriers to healthy food, quality medical care and timely referrals are more likely to have creatinine in their blood â and that many of them happen to be Black. Systemic health disparities help explain why Black patients have unusually high rates of kidney failure, since communities of color have less access to regular primary care. One of the most serious consequences of poorly controlled diabetes and hypertension is failure of the organ.
Harried examines his dialysis injection sites at home in St. Louis County, Missouri, on May 18. He undergoes dialysis three times a week to treat his kidney disease.
(Michael B. Thomas for KHN) Direct discrimination â intentional or not â from providers may also affect outcomes, said Roberts. She recalled a social worker categorizing her as unable to afford the post-transplant drugs required to keep a transplanted organ healthy, which could have delayed her getting a new organ.
Roberts has held executive roles at several multimillion-dollar companies. Delgado and Levey agree that removing race from the formula might feel better on the surface, but it isnât clear the move would actually help people. Studies recently published in the Journal of the American Medical Association and the Journal of the American Society of Nephrology noted that removing the race factor could lead to some Black patients being disqualified from using beneficial medications because their kidneys might appear unable to handle them.
It could also disqualify some Black people from donating a kidney. ÂFiddling with the algorithms is an imperfect way to achieve equity,â Levey said. As researchers debate the math problem and broader societal ones, patients such as Harried, the St.
Louis minister and security guard, are still stuck navigating dialysis. ÂOne of things that keeps me going is knowing that soon they may call me for a kidney,â Harried said. He doesnât know how long his name will be on the transplant waitlist â or whether the race coefficient has prolonged the wait â but he keeps a hospital bag under his bed to be ready.
Rae Ellen Bichell. rbichell@kff.org, @raelnb Cara Anthony. canthony@kff.org, @CaraRAnthony Related Topics Contact Us Submit a Story Tip.
Alphonso Harried recently came across buy propecia without a prescription propecia cost rite aid a newspaper clipping about his grandfather receiving his 1,000th dialysis treatment. His grandfather later died â at a dialysis center â as did his uncle, both from kidney disease. âAnd that comes in my mind, on my buy propecia without a prescription weak days. ÂAre you going to pass away just like they did?. Ââ said Harried, 46, who also has the disease.
He doesnât like to buy propecia without a prescription dwell on that. He has gigs to play as a musician, a ministry to run with his wife and kids to protect as a school security guard. Yet he must juggle all that around three trips each week to a dialysis center in Alton, Illinois, about 20 miles from his home in St. Louis, to clean his blood buy propecia without a prescription of the impurities his kidneys can no longer flush out. Heâs waiting for a transplant, just as his uncle did before him.
ÂItâs just frustrating,â Harried said. ÂIâm stuck in the same pattern.â Thousands of other Americans with failing buy propecia without a prescription kidneys are also stuck, going to dialysis as they await new kidneys that may never come. Thatâs especially true of Black patients, like Harried, who are about four times as likely to have kidney failure as white Americans, and who make up more than 35% of people on dialysis but just 13% of the U.S. Population. Theyâre also less likely to get on the waitlist for a kidney transplant, and less likely to receive a transplant once on the list.
An algorithm doctors use may help perpetuate such disparities. It uses race as a factor in evaluating all stages of kidney disease care. Diagnosis, dialysis and transplantation. Itâs a simple metric that uses a blood test, plus the patientâs age and sex and whether theyâre Black. It makes Black patients appear to have healthier kidneys than non-Black patients, even when their blood measurements are identical.
ÂIt is as close to stereotyping a particular group of people as it can be,â said Dr. Rajnish Mehrotra, a nephrologist with the University of Washington School of Medicine. Harried spends almost 15 hours each week at a dialysis center about 20 miles from his home in St. Louis. ÂItâs just frustrating,â said Harried, whose grandfather and uncle also needed dialysis.
ÂIâm stuck in the same pattern.â(Michael B. Thomas for KHN) This race coefficient has recently come under fire for being imprecise, leading to potentially worse outcomes for Black patients and less chance of receiving a new kidney. A national task force of kidney experts and patients is studying how to replace it. Some institutions have already stopped using it. But how best to assess a patientâs kidney function remains uncertain, and some medical experts say fixing this equation is only one step in creating more equitable care, a process complicated by factors far deeper than a math problem.
ÂThere are so many inequities in kidney disease that stem from broader structural racism,â said Dr. Deidra Crews, a nephrologist and the associate director for research development at the Johns Hopkins Center for Health Equity. ÂIt is just a sliver of what the broader set of issues are when it comes to both disparities and inequities in who gets kidney disease in the first place, and then in the care processes.â Why Race Has Been Part of the Equation Kidneys filter about 40 gallons of blood a day, like a Brita filter for the body. They keep in the good stuff and send out the bad through urine. But unlike other organs, kidneys donât easily repair themselves.
ÂThereâs a point of no return,â said Dr. Cynthia Delgado, a University of California-San Francisco nephrologist who is leading the task force working on the national recommendation to ditch the racial part of the equation. Furthermore, itâs hard to gauge whether kidneys are working properly. Gold-standard tests involve a chemical infusion and hours of collecting blood and urine to see how quickly the kidneys flush the chemical out. An algorithm is much more efficient.
Buoyed by activism around structural racism, those seeking equity in health care have recently been calling out the algorithm as an example of the racism baked into American medicine. Researchers writing in the New England Journal of Medicine last year included kidney equations in a laundry list of race-adjusted algorithms used to evaluate parts of the body â from heart and lungs to bones and breasts. Such equations, they wrote, can âperpetuate or even amplify race-based health inequities.â In March, ahead of the national task forceâs upcoming formal recommendation, leaders in kidney care said race modifiers should be removed. And Fresenius Medical Care, one of the two largest U.S. Dialysis companies, said the race component is âproblematic.â Until the late 1990s, doctors primarily used the Cockcroft-Gault equation.
It didnât ask for race, but used age, weight and the blood level of creatinine â a chemical thatâs basically the trash left after muscles move. A high level of creatinine in the blood signals that kidneys are not doing their job of disposing of it. But the equation was based on a study of just 249 white men. Then, researchers wrapping up a study on how to slow down kidney disease realized they were sitting on a mother lode of data that could rewrite that equation. Gold-standard kidney function measurements from about 1,600 patients, 12% of whom were Black.
They evaluated 16 variables, including age, sex, diabetes diagnosis and blood pressure. They landed on something that accurately predicted the kidney function of patients better than the old equation. Except it made the kidneys of Black participants appear to be sicker than the gold-standard test showed they were. The authors reasoned it might be caused by muscle mass. Participants with more muscle mass would likely have more creatinine in their http://www.rsflowerdesign.co.uk/funeral-flowers/ blood, not because their kidneys were failing to remove it, but because they just had more muscles producing more waste.
So they âcorrectedâ Black patientsâ results for that difference. Dr. Andrew S. Levey, a professor at Tufts University School of Medicine who led the study, said it doesnât make intuitive sense to include race â now widely considered a social construct â in an equation about biology. Still, in 1999, he and others published the race equation, then updated it a decade later.
Though other equations exist that donât involve race, Leveyâs latest version, often referred to as the âCKD-EPIâ equation, is recommended for clinical use. It shows a Black patientâs kidneys functioning 16% better than those of a non-Black patient with the same blood work. Removing the Race Number Many patients donât know about this equation and how their race has factored into their care. ÂI really wish someone would have mentioned it,â Harried said. He said it burned him up âknowing that this one little test that I didnât know anything about could keep me from â or prolong me â getting a kidney.â Harried keeps a bag packed with supplies he might need if his turn for a kidney transplant comes up.
A national group of experts is currently deciding how to alter a medical algorithm that some experts say delays Black patients like Harried from getting a transplant.(Michael B. Thomas for KHN) Glenda V. Roberts curbed her kidney disease with a vegan diet and by conducting meetings as an IT executive while walking. But after more than 40 years of slow decline, her kidney function finally reached the cutoff required to get on the transplant waitlist. When it did, the decline was swift â a pattern researchers have noted in Black patients.
ÂIt really makes you wonder what the benefit is of having an equation that will cause people who look like me â Black people â to get referrals later, to have to wait longer before you can get on the transplant list, but then have your disease progress more rapidly,â she said. Roberts, who is now the director of external relations at the University of Washingtonâs Kidney Research Institute in Seattle and on the national task force, said a genetic test added to her feeling that a âBlack/non-Blackâ option in an equation was a charade. ÂIn fact, I am not predominantly of African ancestry. Iâm 25% Native American. Iâm Swedish and English and French,â said Roberts.
ÂBut I am also 48% from countries that are on the continent of Africa.â The Black/non-Black question also doesnât make sense to Delgado, the University of California nephrologist. ÂI would probably for some people qualify as being non-Black,â said Delgado, who is Puerto Rican. ÂBut for others, I would qualify as Black.â So, theoretically, if Delgado were to visit two doctors on the same day, and they guessed her race instead of asking, she could come away with two different readings of how well her kidneys are working. Researchers found that the race factor doesnât work for Black Europeans or patients in West Africa. Australian researchers found using the race coefficient led them to overestimate the kidney function of Indigenous Australians.
But in the U.S., Levey and other researchers seeking to replace the race option with physical measurements, such as height and weight, hit a dead end. To Crews, the Johns Hopkins nephrologist who is also on the national taskforce, the focus on one equation is myopic. The algorithm suggests that something about Black peopleâs bodies affects their kidneys. Crews thinks thatâs the wrong approach to addressing disparities. The issue is not whatâs unique about the inner workings of Black bodies, but instead whatâs going on around them.
ÂI really wish we could measure that instead of using race as a variable in the estimating equations,â she said on the âFreely Filteredâ podcast. ÂI donât think itâs ancestry. I donât think itâs muscle mass.â It might not be that Black bodies are more likely to have more creatinine in the blood, but that Americans who experience housing insecurity and barriers to healthy food, quality medical care and timely referrals are more likely to have creatinine in their blood â and that many of them happen to be Black. Systemic health disparities help explain why Black patients have unusually high rates of kidney failure, since communities of color have less access to regular primary care. One of the most serious consequences of poorly controlled diabetes and hypertension is failure of the organ.
Harried examines his dialysis injection sites at home in St. Louis County, Missouri, on May 18. He undergoes dialysis three times a week to treat his kidney disease. (Michael B. Thomas for KHN) Direct discrimination â intentional or not â from providers may also affect outcomes, said Roberts.
She recalled a social worker categorizing her as unable to afford the post-transplant drugs required to keep a transplanted organ healthy, which could have delayed her getting a new organ. Roberts has held executive roles at several multimillion-dollar companies. Delgado and Levey agree that removing race from the formula might feel better on the surface, but it isnât clear the move would actually help people. Studies recently published in the Journal of the American Medical Association and the Journal of the American Society of Nephrology noted that removing the race factor could lead to some Black patients being disqualified from using beneficial medications because their kidneys might appear unable to handle them. It could also disqualify some Black people from donating a kidney.
ÂFiddling with the algorithms is an imperfect way to achieve equity,â Levey said. As researchers debate the math problem and broader societal ones, patients such as Harried, the St. Louis minister and security guard, are still stuck navigating dialysis. ÂOne of things that keeps me going is knowing that soon they may call me for a kidney,â Harried said. He doesnât know how long his name will be on the transplant waitlist â or whether the race coefficient has prolonged the wait â but he keeps a hospital bag under his bed to be ready.
Rae Ellen Bichell. rbichell@kff.org, @raelnb Cara Anthony. canthony@kff.org, @CaraRAnthony Related Topics Contact Us Submit a Story Tip.
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The Occupational Safety and propecia enlarged prostate Health Administration (OSHA) is turning 50!. On Dec. 29, 1970, the Occupational Safety and Health Act was signed to ensure safe and healthful propecia enlarged prostate working conditions for Americaâs workers. Since our agencyâs launch, worker fatalities have decreased by about 60%, while work-related injuries and illnesses have decreased by nearly 80%. Although we have helped significantly reduce workplace fatalities, injuries and illnesses, thereâs still more work to propecia enlarged prostate be done.As we celebrate five decades of service to Americaâs workers, weâre reflecting on some of OSHAâs key milestones and standards.1970s.
In its first decade of service, OSHA introduced consensus standards, protecting workers from the health risks associated with asbestos and chemical carcinogens. The Cotton Dust Standard of 1978 led to a 90% decrease in worker fatalities associated with brown lung propecia enlarged prostate disease. Additionally, the OSHA Training Institute was established to educate both inspectors and the public.1980s. OSHA continued to implement safety standards during its second decade, including excavation and trenching, grain handling propecia enlarged prostate facilities, and the lockout/tagout of hazardous energy. OSHA also created the Voluntary Protection Programs to recognize employers with exemplary safety and health records.1990s.
As science and technology progressed, OSHA issued new standards to protect workers, including on bloodborne pathogens propecia enlarged prostate and process safety management. The agency also issued standards to protect traditional workforces, including longshoring and marine terminals. Additionally, the agency created the Strategic Partnership Program to improve safety and health within OSHAâs propecia enlarged prostate jurisdiction. To broaden its reach and protect more workers, OSHA launched its website, www.osha.gov. Every day, the site propecia enlarged prostate welcomes an average of more than 89,000 visitors and records an average of 168 workplace complaints.2000s.
In response to the terrorist attacks of 9/11 and a series of natural disasters, OSHA provided resources to protect first responders. A fire and explosive standard introduced during this time covered issues like fire protection in the shipyard industry and combustible dust. The agency increased inspections of U.S propecia enlarged prostate. Oil refineries following a deadly explosion in the Gulf of Mexico. Additionally, the agency developed propecia enlarged prostate compliance resources to prepare for national emergencies.2010s.
Over the last decade, OSHA has addressed new safety concerns in the construction industry, issuing standards for silica protection and working within confined spaces. The agency launched a series of annual safety awareness campaigns, including the National Safety Stand-Down to Prevent Falls in Construction, which reached more than 457,000 propecia enlarged prostate workers in 2019. The #MySafeSummerJob initiative was established to educate young workers on job safety, rights in the workplace, and voicing their concerns. Finally, OSHA improved its outreach efforts by sponsoring more public forums and soliciting input on key initiatives, such as safety and health conditions for Hispanic propecia enlarged prostate workers, among others.Over the past year, OSHA has responded to over 11,000 hair loss complaints. The agency investigated every complaint, removed more than 646,000 workers from hair loss hazards, and provided more than 20 guidance documents in multiple languages to help employers keep workers safe.To read more about OSHAâs first five decades, visit our OSHA at 50 webpage.
Loren Sweatt is the Principal Deputy Assistant Secretary for propecia enlarged prostate the U.S. Department of Laborâs Occupational Safety and Health Administration. Follow OSHA on Twitter at @OSHA_DOL.On Dec propecia enlarged prostate. 21, many formerly incarcerated individuals and their families are celebrating the second anniversary of the First Step Act, which reformed federal prisons and sentencing laws to reduce recidivism and mandatory minimums, expand rehabilitation efforts, and maintain public safety. Since President propecia enlarged prostate Trump signed it into law, thousands of federal prisoners have been released based on changes to good-time credits and others have benefitted from sentence reductions.
At the U.S. Department of Labor, we too believe propecia enlarged prostate in second chances. Thatâs why we are committed to helping those previously involved with the criminal justice system secure good jobs as well as informing employers about opportunities to provide second chances. In the past two years, the Department awarded approximately $176.8 million in grants to nonprofit organizations and local and state governments as part of the Reentry Employment Opportunities program. Grant recipients collaborate with employers, community colleges and criminal justice partners to reduce barriers to reentry, help individuals gain industry-recognized credentials, and propecia enlarged prostate provide employment opportunities.
Additionally, local American Job Centers, funded by the Department, can help justice-involved individuals move into employment. Reentry.CareerOneStop.org provides the same career, training and job search tools available through American Job Centers but with external links disabled so correctional institutions and other secure facilities can make them available propecia enlarged prostate to individuals who are incarcerated but looking forward to their release date. This December, we announced the availability of up to $3.3 million in grants for states and territories through the Federal Bonding Program. This program propecia enlarged prostate provides fidelity bonds to employers as a risk-reduction tool for hiring people with criminal records. For more information, visit www.bonds4jobs.com.
A recent Federal Bonding Program success story comes from a Michigan small business owner propecia enlarged prostate who was looking to hire. A fidelity bond was issued for a worker with a criminal record and due to the job seekerâs good work performance, the business offered her full employment after the bond expired. The bonds represent an excellent return on investment propecia enlarged prostate for taxpayers. In 2019, less than 1% of bonds were redeemed. Businesses can have confidence in the integrity and work ethic of the individuals propecia enlarged prostate they hire using these bonds.
We know that reducing recidivism is tied to a meaningful job. The Labor propecia enlarged prostate Department stands ready to help people exiting the justice system to secure meaningful work and reintegrate into their communities. Learn more about the Departmentâs reentry initiatives on the Employment and Training Administration website. John Pallasch is the Assistant Secretary of Labor for Employment and Training..
The Occupational Safety buy propecia without a prescription and Health http://www.ec-prot-printzheim.ac-strasbourg.fr/?page_id=111 Administration (OSHA) is turning 50!. On Dec. 29, 1970, the Occupational Safety buy propecia without a prescription and Health Act was signed to ensure safe and healthful working conditions for Americaâs workers. Since our agencyâs launch, worker fatalities have decreased by about 60%, while work-related injuries and illnesses have decreased by nearly 80%. Although we have helped significantly buy propecia without a prescription reduce workplace fatalities, injuries and illnesses, thereâs still more work to be done.As we celebrate five decades of service to Americaâs workers, weâre reflecting on some of OSHAâs key milestones and standards.1970s.
In its first decade of service, OSHA introduced consensus standards, protecting workers from the health risks associated with asbestos and chemical carcinogens. The Cotton Dust Standard of 1978 led to a 90% buy propecia without a prescription decrease in worker fatalities associated with brown lung disease. Additionally, the OSHA Training Institute was established to educate both inspectors and the public.1980s. OSHA continued to implement safety standards during its second decade, including excavation buy propecia without a prescription and trenching, grain handling facilities, and the lockout/tagout of hazardous energy. OSHA also created the Voluntary Protection Programs to recognize employers with exemplary safety and health records.1990s.
As science buy propecia without a prescription and technology progressed, OSHA issued new standards to protect workers, including on bloodborne pathogens and process safety management. The agency also issued standards to protect traditional workforces, including longshoring and marine terminals. Additionally, the agency created the Strategic Partnership Program to improve safety and health buy propecia without a prescription within OSHAâs jurisdiction. To broaden its reach and protect more workers, OSHA launched its website, www.osha.gov. Every day, the site welcomes an average of more than 89,000 visitors and records an average of 168 workplace complaints.2000s buy propecia without a prescription.
In response to the terrorist attacks of 9/11 and a series of natural disasters, OSHA provided resources to protect first responders. A fire and explosive standard introduced during this time covered issues like fire protection in the shipyard industry and combustible dust. The agency increased inspections of U.S buy propecia without a prescription. Oil refineries following a deadly explosion in the Gulf of Mexico. Additionally, the agency developed compliance resources buy propecia without a prescription to prepare for national emergencies.2010s.
Over the last decade, OSHA has addressed new safety concerns in the construction industry, issuing standards for silica protection and working within confined spaces. The agency launched a series of buy propecia without a prescription annual safety awareness campaigns, including the National Safety Stand-Down to Prevent Falls in Construction, which reached more than 457,000 workers in 2019. The #MySafeSummerJob initiative was established to educate young workers on job safety, rights in the workplace, and voicing their concerns. Finally, OSHA improved its outreach efforts by sponsoring buy propecia without a prescription more public forums and soliciting input on key initiatives, such as safety and health conditions for Hispanic workers, among others.Over the past year, OSHA has responded to over 11,000 hair loss complaints. The agency investigated every complaint, removed more than 646,000 workers from hair loss hazards, and provided more than 20 guidance documents in multiple languages to help employers keep workers safe.To read more about OSHAâs first five decades, visit our OSHA at 50 webpage.
Loren Sweatt is the Principal Deputy Assistant Secretary for the buy propecia without a prescription U.S. Department of Laborâs Occupational Safety and Health Administration. Follow OSHA on Twitter at @OSHA_DOL.On buy propecia without a prescription Dec. 21, many formerly incarcerated individuals and their families are celebrating the second anniversary of the First Step Act, which reformed federal prisons and sentencing laws to reduce recidivism and mandatory minimums, expand rehabilitation efforts, and maintain public safety. Since President Trump signed it into law, thousands of federal prisoners have been released based on changes buy propecia without a prescription to good-time credits and others have benefitted from sentence reductions.
At the U.S. Department of Labor, we too believe buy propecia without a prescription in second chances. Thatâs why we are committed to helping those previously involved with the criminal justice system secure good jobs as well as informing employers about opportunities to provide second chances. In the past two years, the Department awarded approximately $176.8 million in grants to nonprofit organizations and local and state governments as part of the Reentry Employment Opportunities program. Grant recipients collaborate with employers, community colleges and criminal justice partners to reduce buy propecia without a prescription barriers to reentry, help individuals gain industry-recognized credentials, and provide employment opportunities.
Additionally, local American Job Centers, funded by the Department, can help justice-involved individuals move into employment. Reentry.CareerOneStop.org provides the same career, training and job search tools available through American Job Centers but with external links disabled so correctional institutions and other secure facilities can make them available to individuals who are incarcerated buy propecia without a prescription but looking forward to their release date. This December, we announced the availability of up to $3.3 million in grants for states and territories through the Federal Bonding Program. This program provides fidelity bonds to employers as a risk-reduction tool for buy propecia without a prescription hiring people with criminal records. For more information, visit www.bonds4jobs.com.
A recent Federal Bonding Program success story comes from a buy propecia without a prescription Michigan small business owner who was looking to hire. A fidelity bond was issued for a worker with a criminal record and due to the job seekerâs good work performance, the business offered her full employment after the bond expired. The bonds represent an excellent return buy propecia without a prescription on investment for taxpayers. In 2019, less than 1% of bonds were redeemed. Businesses can have confidence in the integrity buy propecia without a prescription and work ethic of the individuals they hire using these bonds.
We know that reducing recidivism is tied to a meaningful job. The Labor Department stands ready to help people exiting the justice system to secure meaningful work and reintegrate into their communities buy propecia without a prescription. Learn more about the Departmentâs reentry initiatives on the Employment and Training Administration website. John Pallasch is the Assistant Secretary of Labor for Employment and Training..
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The report was made possible with propecia doctor support from the United http://www.rsflowerdesign.co.uk/product/modern-open-wreath/ Hospital Fund and benefited from the advice and input from many of our national partners in the effort to ensure maximum participation of immigrants in the nation's healthcare system as well as experts from the New York State Department of Health and the Centers for Medicare and Medicaid Services. SEE more about "PRUCOL" immigrant eligibility for Medicaid in this article. "Undocumented" immigrants are, with some exceptions for pregnant women and Child Health Plus, only eligible for "emergency Medicaid."NYS announced the 2020 Income and Resource levels in GIS 19 MA/12 â 2020 Medicaid Levels and Other Updates ) and levels based on the Federal Poverty Level are in GIS 20 MA/02 â 2020 Federal Poverty Levels Here is the 2020 HRA Income and Resources Level Chart Non-MAGI - 2020 Disabled, 65+ or Blind ("DAB" or SSI-Related) and have Medicare MAGI (2020) (<. 65, Does not have Medicare)(OR propecia doctor has Medicare and has dependent child <. 18 or <.
19 in school) 138% FPL*** Children <. 5 and pregnant women have HIGHER propecia doctor LIMITS than shown ESSENTIAL PLAN For MAGI-eligible people over MAGI income limit up to 200% FPL No long term care. See info here 1 2 1 2 3 1 2 Income $875 (up from $859 in 201) $1284 (up from $1,267 in 2019) $1,468 $1,983 $2,498 $2,127 $2,873 Resources $15,750 (up from $15,450 in 2019) $23,100 (up from $22,800 in 2019) NO LIMIT** NO LIMIT SOURCE for 2019 figures is GIS 18 MA/015 - 2019 Medicaid Levels and Other Updates (PDF). All of the attachments with the various levels are posted here. NEED TO KNOW PAST propecia doctor MEDICAID INCOME AND RESOURCE LEVELS?.
Which household size applies?. The rules are complicated. See propecia doctor rules here. On the HRA Medicaid Levels chart - Boxes 1 and 2 are NON-MAGI Income and Resource levels -- Age 65+, Blind or Disabled and other adults who need to use "spend-down" because they are over the MAGI income levels. Box 10 on page 3 are the MAGI income levels -- The Affordable Care Act changed the rules for Medicaid income eligibility for many BUT NOT ALL New Yorkers.
People in the "MAGI" category - those NOT on Medicare -- have expanded eligibility up to 138% of the Federal Poverty Line, so may now qualify for Medicaid even if they were propecia doctor not eligible before, or may now be eligible for Medicaid without a "spend-down." They have NO resource limit. Box 3 on page 1 is Spousal Impoverishment levels for Managed Long Term Care &. Nursing Homes and Box 8 has the Transfer Penalty rates for nursing home eligibility Box 4 has Medicaid Buy-In for Working People with Disabilities Under Age 65 (still 2017 levels til April 2018) Box 6 are Medicare Savings Program levels (will be updated in April 2018) MAGI INCOME LEVEL of 138% FPL applies to most adults who are not disabled and who do not have Medicare, AND can also apply to adults with Medicare if they have a dependent child/relative under age 18 or under 19 if in school. 42 propecia doctor C.F.R. § 435.4.
Certain populations have an even higher income limit - 224% FPL for pregnant women and babies <. Age 1, 154% FPL for children age 1 - 19 propecia doctor. CAUTION. What is counted as income may not be what you think. For the NON-MAGI Disabled/Aged 65+/Blind, income will still be determined by the same rules as before, explained in this propecia doctor outline and these charts on income disregards.
However, for the MAGI population - which is virtually everyone under age 65 who is not on Medicare - their income will now be determined under new rules, based on federal income tax concepts - called "Modifed Adjusted Gross Income" (MAGI). There are good changes and bad changes. GOOD propecia doctor. Veteran's benefits, Workers compensation, and gifts from family or others no longer count as income. BAD http://ribbonebrewingcompany.com/?p=66.
There is no more "spousal" or parental refusal for this population (but there still is for the Disabled/Aged/Blind.) and some other rules. For propecia doctor all of the rules see. ALSO SEE 2018 Manual on Lump Sums and Impact on Public Benefits - with resource rules The income limits increase with the "household size." In other words, the income limit for a family of 5 may be higher than the income limit for a single person. HOWEVER, Medicaid rules about how to calculate the household size are not intuitive or even logical. There are different rules depending on propecia doctor the "category" of the person seeking Medicaid.
Here are the 2 basic categories and the rules for calculating their household size. People who are Disabled, Aged 65+ or Blind - "DAB" or "SSI-Related" Category -- NON-MAGI - See this chart for their household size. These same rules apply to the Medicare Savings Program, with propecia doctor some exceptions explained in this article. Everyone else -- MAGI - All children and adults under age 65, including people with disabilities who are not yet on Medicare -- this is the new "MAGI" population. Their household size will be determined using federal income tax rules, which are very complicated.
New rule is explained in State's directive 13 ADM-03 propecia doctor - Medicaid Eligibility Changes under the Affordable Care Act (ACA) of 2010 (PDF) pp. 8-10 of the PDF, This PowerPoint by NYLAG on MAGI Budgeting attempts to explain the new MAGI budgeting, including how to determine the Household Size. See slides 28-49. Also seeLegal Aid Society and Empire Justice Center materials OLD RULE used until end of 2013 -- Count the person(s) applying propecia doctor for Medicaid who live together, plus any of their legally responsible relatives who do not receive SNA, ADC, or SSI and reside with an applicant/recipient. Spouses or legally responsible for one another, and parents are legally responsible for their children under age 21 (though if the child is disabled, use the rule in the 1st "DAB" category.
Under this rule, a child may be excluded from the household if that child's income causes other family members to lose Medicaid eligibility. See 18 NYCRR 360-4.2, MRG p. 573, NYS GIS 2000 MA-007 CAUTION. Different people in the same household may be in different "categories" and hence have different household sizes AND Medicaid income and resource limits. If a man is age 67 and has Medicare and his wife is age 62 and not disabled or blind, the husband's household size for Medicaid is determined under Category 1/ Non-MAGI above and his wife's is under Category 2/MAGI.
The following programs were available prior to 2014, but are now discontinued because they are folded into MAGI Medicaid. Prenatal Care Assistance Program (PCAP) was Medicaid for pregnant women and children under age 19, with higher income limits for pregnant woman and infants under one year (200% FPL for pregnant women receiving perinatal coverage only not full Medicaid) than for children ages 1-18 (133% FPL). Medicaid for adults between ages 21-65 who are not disabled and without children under 21 in the household. It was sometimes known as "S/CC" category for Singles and Childless Couples. This category had lower income limits than DAB/ADC-related, but had no asset limits.
It did not allow "spend down" of excess income. This category has now been subsumed under the new MAGI adult group whose limit is now raised to 138% FPL. Family Health Plus - this was an expansion of Medicaid to families with income up to 150% FPL and for childless adults up to 100% FPL. This has now been folded into the new MAGI adult group whose limit is 138% FPL.
19 in buy propecia without a prescription cheap propecia online canada school) 138% FPL*** Children <. 5 and pregnant women have HIGHER LIMITS than shown ESSENTIAL PLAN For MAGI-eligible people over MAGI income limit up to 200% FPL No long term care. See info here 1 2 1 2 3 1 2 Income $875 (up from $859 in 201) $1284 (up from $1,267 in 2019) $1,468 $1,983 $2,498 $2,127 $2,873 Resources $15,750 (up from $15,450 in 2019) $23,100 (up from $22,800 in 2019) NO LIMIT** NO LIMIT SOURCE for 2019 figures is GIS 18 MA/015 - 2019 Medicaid Levels and Other Updates (PDF). All buy propecia without a prescription of the attachments with the various levels are posted here. NEED TO KNOW PAST MEDICAID INCOME AND RESOURCE LEVELS?.
Which household size applies?. The rules buy propecia without a prescription are complicated. See rules here. On the HRA Medicaid Levels chart - Boxes 1 and 2 are NON-MAGI Income and Resource levels -- Age 65+, Blind or Disabled and other adults who need to use "spend-down" because they are over the MAGI income levels. Box 10 on page 3 are the MAGI income levels -- The Affordable Care Act changed the rules for Medicaid buy propecia without a prescription income eligibility for many BUT NOT ALL New Yorkers.
People in the "MAGI" category - those NOT on Medicare -- have expanded eligibility up to 138% of the Federal Poverty Line, so may now qualify for Medicaid even if they were not eligible before, or may now be eligible for Medicaid without a "spend-down." They have NO resource limit. Box 3 on page 1 is Spousal Impoverishment levels for Managed Long Term Care &. Nursing Homes and Box 8 has the Transfer Penalty rates for nursing home eligibility Box buy propecia without a prescription 4 has Medicaid Buy-In for Working People with Disabilities Under Age 65 (still 2017 levels til April 2018) Box 6 are Medicare Savings Program levels (will be updated in April 2018) MAGI INCOME LEVEL of 138% FPL applies to most adults who are not disabled and who do not have Medicare, AND can also apply to adults with Medicare if they have a dependent child/relative under age 18 or under 19 if in school. 42 C.F.R. § 435.4.
Certain populations have an even buy propecia without a prescription higher income limit - 224% FPL for pregnant women and babies <. Age 1, 154% FPL for children age 1 - 19. CAUTION. What is buy propecia without a prescription counted as income may not be what you think. For the NON-MAGI Disabled/Aged 65+/Blind, income will still be determined by the same rules as before, explained in this outline and these charts on income disregards.
However, for the MAGI population - which is virtually everyone under age 65 who is not on Medicare - their income will now be determined under new rules, based on federal income tax concepts - called "Modifed Adjusted Gross Income" (MAGI). There are good changes and bad changes buy propecia without a prescription. GOOD. Veteran's benefits, Workers compensation, and gifts from family or others no longer count as income. BAD buy propecia without a prescription.
There is no more "spousal" or parental refusal for this population (but there still is for the Disabled/Aged/Blind.) and some other rules. For all of the rules see. ALSO SEE 2018 Manual on Lump Sums and Impact on Public Benefits - with resource rules The income limits increase with the "household size." In other words, buy propecia without a prescription the income limit for a family of 5 may be higher than the income limit for a single person. HOWEVER, Medicaid rules about how to calculate the household size are not intuitive or even logical. There are different rules depending on the "category" of the person seeking Medicaid.
Here are the 2 basic categories and the rules for calculating their household size. People who are Disabled, Aged 65+ or Blind - "DAB" or "SSI-Related" Category -- NON-MAGI - See this chart for their household size buy propecia without a prescription. These same rules apply to the Medicare Savings Program, with some exceptions explained in this article. Everyone else -- MAGI - All children and adults under age 65, including people with disabilities who are not yet on Medicare -- this is the new "MAGI" population. Their household buy propecia without a prescription size will be determined using federal income tax rules, which are very complicated.
New rule is explained in State's directive 13 ADM-03 - Medicaid Eligibility Changes under the Affordable Care Act (ACA) of 2010 (PDF) pp. 8-10 of the PDF, This PowerPoint by NYLAG on MAGI Budgeting attempts to explain the new MAGI budgeting, including how to determine the Household Size. See slides buy propecia without a prescription 28-49. Also seeLegal Aid Society and Empire Justice Center materials OLD RULE used until end of 2013 -- Count the person(s) applying for Medicaid who live together, plus any of their legally responsible relatives who do not receive SNA, ADC, or SSI and reside with an applicant/recipient. Spouses or legally responsible for one another, and parents are legally responsible for their children under age 21 (though if the child is disabled, use the rule in the 1st "DAB" category.
Under this rule, a child may be excluded from the household if that child's income causes buy propecia without a prescription other family members to lose Medicaid eligibility. See 18 NYCRR 360-4.2, MRG p. 573, NYS GIS 2000 MA-007 CAUTION. Different people in buy propecia without a prescription the same household may be in different "categories" and hence have different household sizes AND Medicaid income and resource limits. If a man is age 67 and has Medicare and his wife is age 62 and not disabled or blind, the husband's household size for Medicaid is determined under Category 1/ Non-MAGI above and his wife's is under Category 2/MAGI.
The following programs were available prior to 2014, but are now discontinued because they are folded into MAGI Medicaid. Prenatal Care Assistance Program (PCAP) was Medicaid for pregnant women and children under age 19, with higher income limits for pregnant woman and infants under one year (200% FPL for pregnant women receiving perinatal coverage only not full Medicaid) than for children ages 1-18 buy propecia without a prescription (133% FPL). Medicaid for adults between ages 21-65 who are not disabled and without children under 21 in the household. It was sometimes known as "S/CC" category for Singles and Childless Couples. This category had lower income limits than DAB/ADC-related, but had no asset limits.
It did not allow "spend down" of excess income. This category has now been subsumed under the new MAGI adult group whose limit is now raised to 138% FPL. Family Health Plus - this was an expansion of Medicaid to families with income up to 150% FPL and for childless adults up to 100% FPL. This has now been folded into the new MAGI adult group whose limit is 138% FPL. For applicants between 138%-150% FPL, they will be eligible for a new program where Medicaid will subsidize their purchase of Qualified Health Plans on the Exchange.
PAST INCOME &. RESOURCE LEVELS -- Past Medicaid income and resource levels in NYS are shown on these oldNYC HRA charts for 2001 through 2019, in chronological order. These include Medicaid levels for MAGI and non-MAGI populations, Child Health Plus, MBI-WPD, Medicare Savings Programs and other public health programs in NYS. This article was authored by the Evelyn Frank Legal Resources Program of New York Legal Assistance Group..