A Risk Profile Using Simple Hematologic Parameters to Assess Benefits From Baricitinib in Patients Hospitalized With COVID-19: A Post Hoc Analysis of the Adaptive COVID-19 Treatment Trial-2.

BACKGROUND: The ACTT risk profile, which was developed from ACTT-1 (Adaptive COVID-19 Treatment Trial-1), demonstrated that hospitalized patients with COVID-19 in the high-risk quartile (characterized by low absolute lymphocyte count [ALC], high absolute neutrophil count [ANC], and low platelet count at baseline) benefited most from treatment with the antiviral remdesivir. It is unknown which patient characteristics are associated with benefit from treatment with the immunomodulator baricitinib. OBJECTIVE: To apply the ACTT risk profile to the ACTT-2 cohort to investigate potential baricitinib-related treatment effects by risk quartile. DESIGN: Post hoc analysis of ACTT-2, a randomized, double-blind, placebo-controlled trial. (ClinicalTrials.gov: NCT04401579). SETTING: Sixty-seven trial sites in 8 countries. PARTICIPANTS: Adults hospitalized with COVID-19 (n = 999; 85% U.S. participants). INTERVENTION: Baricitinib+remdesivir versus placebo+remdesivir. MEASUREMENTS: Mortality, progression to invasive mechanical ventilation (IMV) or death, and recovery, all within 28 days; ALC, ANC, and platelet count trajectories. RESULTS: In the high-risk quartile, baricitinib+remdesivir was associated with reduced risk for death (hazard ratio [HR], 0.38 [95% CI, 0.16 to 0.86]; P = 0.020), decreased progression to IMV or death (HR, 0.57 [CI, 0.35 to 0.93]; P = 0.024), and improved recovery rate (HR, 1.53 [CI, 1.16 to 2.02]; P = 0.002) compared with placebo+remdesivir. After 5 days, participants receiving baricitinib+remdesivir had significantly larger increases in ALC and significantly larger decreases in ANC compared with control participants, with the largest effects observed in the high-risk quartile. LIMITATION: Secondary analysis of data collected before circulation of current SARS-CoV-2 variants. CONCLUSION: The ACTT risk profile identifies a subgroup of hospitalized patients who benefit most from baricitinib treatment and captures a patient phenotype of treatment response to an immunomodulator and an antiviral. Changes in ALC and ANC trajectory suggest a mechanism whereby an immunomodulator limits severe COVID-19. PRIMARY FUNDING SOURCE: National Institute of Allergy and Infectious Diseases.

SARS-CoV-2 RNA and nucleocapsid antigen are blood biomarkers associated with severe disease outcomes that improve in response to remdesivir.

BACKGROUND: Although antivirals remain important for the treatment COVID-19, methods to assess treatment efficacy are lacking. Here, we investigated the impact of remdesivir on viral dynamics and their contribution to understanding antiviral efficacy in the multicenter ACTT-1 clinical trial that randomized patients to remdesivir or placebo. METHODS: Longitudinal specimens collected during hospitalization from a substudy of 642 COVID-19 patients were measured for viral RNA (upper respiratory tract and plasma), viral nucleocapsid antigen (serum), and host immunologic markers. Associations with clinical outcomes and response to therapy were assessed. RESULTS: Higher baseline plasma viral loads were associated with poorer clinical outcomes, and decreases in viral RNA and antigen in blood but not the upper respiratory tract correlated with enhanced benefit from remdesivir. The treatment effect of remdesivir was most pronounced in patients with elevated baseline nucleocapsid antigen levels: the recovery rate ratio was 1.95 (95%CI 1.40-2.71) for levels >245 pg/ml vs 1.04 (95%CI 0.76-1.42) for levels < 245 pg/ml. Remdesivir also accelerated the rate of viral RNA and antigen clearance in blood, and patients whose blood levels decreased were more likely to recover and survive. CONCLUSIONS: Reductions in SARS-CoV-2 RNA and antigen levels in blood correlated with clinical benefit from antiviral therapy.

Group sequential designs for clinical trials when the maximum sample size is uncertain.

Motivated by the experience of COVID-19 trials, we consider clinical trials in the setting of an emerging disease in which the uncertainty of natural disease course and potential treatment effects makes advance specification of a sample size challenging. One approach to such a challenge is to use a group sequential design to allow the trial to stop on the basis of interim analysis results as soon as a conclusion regarding the effectiveness of the treatment under investigation can be reached. As such a trial may be halted before a formal stopping boundary is reached, we consider the final analysis under such a scenario, proposing alternative methods for when the decision to halt the trial is made with or without knowledge of interim analysis results. We address the problems of ensuring that the type I error rate neither exceeds nor falls unnecessarily far below the nominal level. We also propose methods in which there is no maximum sample size, the trial continuing either until the stopping boundary is reached or it is decided to halt the trial.

Vaccines for Mpox - An Unmet Global Need.

In 1970, the first case of mpox (formerly known as monkeypox) was documented in an infant in Equateur Province, Democratic Republic of Congo (DRC).1 Infections with clade I monkeypox virus (MPXV) are endemic in the rainforest regions of central Africa and result from both zoonotic and human-to-human transmission. The cessation of smallpox vaccination in 1980 because of the eradication of smallpox has led to an increase in the number of individuals who are orthopox immune naïve and is felt to be responsible for a recent increase in mpox cases in the DRC. Comparisons of active surveillance in Sankuru Province from 2005 through 2007 revealed a 20-fold increase in the incidence of mpox compared with the 1980s, with a 5-fold-lower incidence among those with a smallpox vaccination scar.2.

Data and Safety Monitoring Board Monitoring of Clinical Trials for Early Efficacy.

DSMB Monitoring of Clinical Trials for Early EfficacyIn this article in the NEJM Evidence DSMB mini-series, Dodd and Proschan review the clinical, ethical, and statistical issues that confront a DSMB when trial data suggest that the treatment under test is highly efficacious. Examples of such trials are reviewed.

Subgroup Analyses: Subpar or Sublime?

Subgroup Analyses: Subpar or Sublime?This animated video explores some of the potential pitfalls of performing subgroup analyses in randomized controlled trials and explains how to approach potential findings with caution.