Community-acquired pneumonia subgroups and differential response to corticosteroids: a secondary analysis of controlled studies
- PMID: 35036417
- PMCID: PMC8752939
- DOI: 10.1183/23120541.00489-2021
Community-acquired pneumonia subgroups and differential response to corticosteroids: a secondary analysis of controlled studies
Abstract
Background: Latent class analysis (LCA) has identified subgroups with meaningful treatment implications in acute respiratory distress syndrome. We performed a secondary analysis of three studies to assess whether LCA can identify clinically distinct subgroups in community-acquired pneumonia (CAP) and whether the treatment effect of adjunctive corticosteroids differs between subgroups.
Methods: LCA was performed on baseline clinical and biomarker data from the Ovidius trial (n=304) and the Steroids in Pneumonia (STEP) trial (n=727), both randomised controlled trials investigating adjunctive corticosteroid treatment in CAP, and the observational TripleP cohort (n=201). Analyses were conducted independently in two cohorts (Ovidius-TripleP combined and the STEP trial). In both cohorts, differences in clinical outcomes and response to adjunctive corticosteroid treatment were examined between subgroups identified through LCA.
Results: A two-class model fitted both cohorts best. Class 2 patients had more signs of systemic inflammation compared to class 1. In both cohorts, length of stay was longer and in-hospital mortality rate was higher in class 2. In the Ovidius trial, corticosteroids reduced the median length of stay in class 2 (6.5 versus 9.5 days) but not in class 1 (p-value for interaction=0.02). In the STEP trial, there was no significant interaction for length of stay. We found no significant interaction between class assignment and adjunctive corticosteroid treatment for secondary outcomes.
Conclusions: In two independent cohorts, LCA identified two classes of CAP patients with different clinical characteristics and outcomes. Given the different response to adjunctive corticosteroids in the Ovidius trial, LCA might provide a useful basis to improve patient selection for future trials.
Copyright ©The authors 2022.
Conflict of interest statement
Conflict of interest: E. Wittermans has nothing to disclose. Conflict of interest: P.A. van der Zee has nothing to disclose. Conflict of interest: H. Qi has nothing to disclose. Conflict of interest: E.M.W. van de Garde has nothing to disclose. Conflict of interest: C.A. Blum reports grants from the Helmut Horten Foundation, Switzerland, and Novo Nordisk, outside the submitted work. Conflict of interest: M. Christ-Crain has nothing to disclose. Conflict of interest: D. Gommers reports speaker fees and travel expenses from Drager and Maquet, personal fees and other support for a medical advisory board from 2009 to 2012 from GE Healthcare, and personal fees and other support for a medical advisory board from 2015 to 2018 from Novalung, outside the submitted work. Conflict of interest: J.C. Grutters has nothing to disclose. Conflict of interest: G.P. Voorn has nothing to disclose. Conflict of interest: W.J.W. Bos has nothing to disclose. Conflict of interest: H. Endeman has nothing to disclose.
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