Effect of tocilizumab, sarilumab, and baricitinib on mortality among patients hospitalized for COVID-19 treated with corticosteroids: a systematic review and meta-analysis.

BACKGROUND: Randomized controlled trials (RCT) established the mortality reduction by tocilizumab (Actemra), baricitinib (Olumiant), and sarilumab (Kevzara) in hospitalized COVID-19 patients. However, uncertainty remains about which treatment performs best in patients receiving corticosteroids. OBJECTIVES: To estimate probabilities of noninferiority between baricitinib and sarilumab compared to tocilizumab in patients treated with corticosteroids. DATA SOURCES: PubMed, Embase, Cochrane Library, and MedRxiv. STUDY ELIGIBILITY CRITERIA: Eligible RCTs assigning hospitalized adults with COVID-19 treated with corticosteroids to tocilizumab or baricitinib or sarilumab versus standard of care or placebo (control). METHODS: Reviewers independently abstracted published data and assessed study quality with the Risk of Bias 2 tool. Unpublished data, if required, were requested from authors of included studies. The outcome of interest was all-cause mortality at 28 days. PARTICIPANTS: Twenty-seven RCTs with 13 549 patients were included. Overall, the risk of bias was low. Bayesian pairwise meta-analyses were used to aggregate results of each treatment versus control. The average odds ratio for mortality was 0.78 (95% credible interval [CrI]: 0.65, 0.94) for tocilizumab; 0.78 (95% CrI: 0.56, 1.03) for baricitinib; and 0.91 (95% CrI: 0.60, 1.40) for sarilumab. The certainty of evidence (GRADE) ranged from moderate to low. Bayesian meta-regressions with multiple priors were used to estimate probabilities of noninferiority (margin of 13% greater effect by tocilizumab). Compared to tocilizumab, there were ≤94% and 90% probabilities of noninferiority with baricitinib and sarilumab, respectively. RESULTS: All but two studies included data with only indirect evidence for the comparison of interest. CONCLUSIONS: Among hospitalized COVID-19 treated with corticosteroids, there are high probabilities that both baricitinib and sarilumab are associated with similar mortality reductions in comparison to tocilizumab.

Observational versus randomized controlled trials to inform antibiotic treatment durations: a narrative review.

BACKGROUND: Studies comparing shorter and longer antibiotic treatment durations are increasingly common. Randomized controlled trials (RCTs) are an ideal methodological approach to study antibiotic treatment durations; however, these trials can be logistically and financially challenging to conduct. OBJECTIVES: In this narrative review, we sought to compare the strengths and limitations of observational study data with those of RCT data in evaluating antibiotic treatment durations. We used uncomplicated Gram-negative bacteraemia as an illustrative case example because several published RCTs and observational studies have been conducted in similar patient populations. SOURCES: We searched MEDLINE for articles comparing treatment durations for gram-negative bacteremia from inception to June 9th, 2022. We included studies reporting on all-cause mortality and/or relapse at day 28-30. Data comparing short- versus long-course therapy were pooled by Bayesian random effects meta-analyses to assess the odds ratios (OR) of all-cause mortality and relapse at 30 days, stratified by study design. Parameters were summarized with median and 95% highest-density credible intervals (CrI). Posterior probabilities of OR > 1.0 were estimated. Observational studies were further examined to determine if and how they addressed potential sources of bias. CONTENT: We identified 1671 unique records and included 10 studies (seven observational and three RCTs). With respect to 30-day mortality, the Bayesian posterior probability that a longer course of therapy was better (i.e. OR >1.0) was 42% in RCTs (OR, 0.94; 95% CrI, 0.51-1.68) and 91% in observational studies (OR, 1.25; 95% CrI, 0.88-1.73). No observational study fully addressed all potential sources of bias. IMPLICATIONS: On the basis of our findings, we discuss future directions for antibiotic treatment duration trials, including approaches to limit sources of bias in observation data and novel trial designs.

Pacemaker risk following transcatheter aortic valve replacement - A Bayesian reanalysis.

OBJECTIVES: To estimate the probability of increased total mortality risk in patients receiving a cardiac pacemaker following transcatheter aortic valve replacement (TAVR). BACKGROUND: A recent publication of a nationwide Swedish, population-based cohort study found no statistically significant difference for all-cause mortality. It is unknown if a Bayesian reanalysis would provide additional insights and lead to the same conclusion. METHODS: A digitalized approach to the published Kaplan - Meier curves was used to reconstruct the individual patient dataset. Bayesian survival analyses of this data using both vague, thereby allowing the posterior probability to be completely dominated by the observed data, as well as skeptical and informative priors, based on the mortality risk of pacemaker implantation following surgical aortic valve replacement, were performed. RESULTS: The individual patient data set was reliably reconstructed and showed a 4 year follow-up hazard ratio (HR) = 1.08, 95% credible interval (CrI) 0.85-1.36. The Bayesian analysis using a vague prior revealed a 74.9% probability of increased mortality in the pacemaker group. Using a skeptical, semi-informative, and fully informative priors, the posterior probabilities of increased mortality following pacemaker insertion was increased to 68.9%, 93.9% and 98.4%, respectively. CONCLUSIONS: This Bayesian reanalysis suggests a moderate to high probability of an increased total mortality in TAVR patients requiring post procedural pacemaker implantation.

Mortality Rates Among Hospitalized Patients With COVID-19 Infection Treated With Tocilizumab and Corticosteroids: A Bayesian Reanalysis of a Previous Meta-analysis.

Importance: A World Health Organization (WHO) meta-analysis found that tocilizumab was associated with reduced mortality in hospitalized patients with COVID-19. However, uncertainty remains concerning the magnitude of tocilizumab's benefits and whether its association with mortality benefit is similar across respiratory subgroups. Objective: To use bayesian methods to assess the magnitude of mortality benefit associated with tocilizumab and the differences between respiratory support subgroups in hospitalized patients with COVID-19. Design, Setting, and Participants: A bayesian hierarchical reanalysis of the WHO meta-analysis of tocilizumab studies published in 2020 and 2021 was performed. Main results were estimated using weakly informative priors to exert little influence on the observed data. The robustness of these results was evaluated using vague and informative priors. The studies featured in the meta-analysis were randomized clinical tocilizumab trials of hospitalized patients with COVID-19. Only patients receiving corticosteroids were included. Interventions: Usual care plus tocilizumab in comparison with usual care or placebo. Main Outcomes and Measures: All-cause mortality at 28 days after randomization. Results: Among the 5339 patients included in this analysis, most were men, with mean ages between 56 and 66 years. There were 2117 patients receiving simple oxygen only, 2505 receiving noninvasive ventilation (NIV), and 717 receiving invasive mechanical ventilation (IMV) in 15 studies from multiple countries and continents. Assuming weakly informative priors, the overall odds ratios (ORs) for survival were 0.70 (95% credible interval [CrI], 0.50-0.91) for patients receiving simple oxygen only, 0.81 (95% CrI, 0.63-1.03) for patients receiving NIV, and 0.89 (95% CrI, 0.61-1.22) for patients receiving IMV, respectively. The posterior probabilities of any benefit (OR <1) were notably different between patients receiving simple oxygen only (98.9%), NIV (95.5%), and IMV (75.4%). The posterior probabilities of a clinically meaningful association (absolute mortality risk difference >1%) were greater than 95% in patients receiving simple oxygen only and greater than 90% in patients receiving NIV. In contrast, the posterior probability of this clinically meaningful association was only approximately 67% in patients receiving IMV. The probabilities of tocilizumab superiority in the simple oxygen only subgroup compared with the NIV and IMV subgroups were 85% and 90%, respectively. Predictive intervals highlighted that only 72.1% of future tocilizumab IMV studies would show benefit. The conclusions did not change with different prior distributions. Conclusions and Relevance: In this bayesian reanalysis of a previous meta-analysis of 15 studies of hospitalized patients with COVID-19 treated with tocilizumab and corticosteroids, use of simple oxygen only and NIV was associated with a probability of a clinically meaningful mortality benefit from tocilizumab. Future research should clarify whether patients receiving IMV also benefit from tocilizumab.