Higher vs Lower Doses of Dexamethasone in Patients with COVID‐19 and Severe Hypoxia (COVID STEROID 2) trial: Protocol for a secondary Bayesian analysis
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Granholm A, Munch MW, Myatra SN, Vijayaraghavan BKT, Cronhjort M, Wahlin RR, Jakob SM, Cioccari L, Kjær MN, Vesterlund GK, Meyhoff TS, Helleberg M, Møller MH, Benfield T, Venkatesh B, Hammond N, Micallef S, Bassi A, John O, Jha V, Kristiansen KT, Ulrik CS, Jørgensen VL, Smitt M, Bestle MH, Andreasen AS, Poulsen LM, Rasmussen BS, Brøchner AC, Strøm T, Møller A, Khan MS, Padmanaban A, Divatia JV, Saseedharan S, Borawake K, Kapadia F, Dixit S, Chawla R, Shukla U, Amin P, Chew MS, Gluud C, Lange T, Perner A
Acta Anaesthesiol Scand 65 (5) 702-710 [2021-05-00; online 2021-02-25]
Coronavirus disease 2019 (COVID-19) can lead to severe hypoxic respiratory failure and death. Corticosteroids decrease mortality in severely or critically ill patients with COVID-19. However, the optimal dose remains unresolved. The ongoing randomised COVID STEROID 2 trial investigates the effects of higher vs. lower doses of dexamethasone (12 vs. 6 mg intravenously daily for up to 10 days) in 1,000 adult patients with COVID-19 and severe hypoxia. This protocol outlines the rationale and statistical methods for a secondary, pre-planned Bayesian analysis of the primary outcome (days alive without life support at day 28) and all secondary outcomes registered up to day 90. We will use hurdle-negative binomial models to estimate the mean number of days alive without life support in each group and present results as mean differences and incidence rate ratios with 95% credibility intervals (CrIs). Additional count outcomes will be analysed similarly and binary outcomes will be analysed using logistic regression models with results presented as probabilities, relative risks and risk differences with 95% CrIs. We will present probabilities of any benefit/harm, clinically important benefit/harm and probabilities of effects smaller than pre-defined clinically minimally important differences for all outcomes analysed. Analyses will be adjusted for stratification variables and conducted using weakly informative priors supplemented by sensitivity analyses using sceptic priors. This secondary, pre-planned Bayesian analysis will supplement the primary, conventional analysis and may help clinicians, researchers and policymakers interpret the results of the COVID STEROID 2 trial while avoiding arbitrarily dichotomised interpretations of the results.
PubMed 33583027
DOI 10.1111/aas.13793
Crossref 10.1111/aas.13793