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Clinical phenotyping uncovers heterogeneous associations between corticosteroid treatment and survival in critically ill COVID-19 patients

  • Niklas Bruse
  • , Anna Motos
  • , Rombout van Amstel
  • , Eckart de Bie
  • , Emma J. Kooistra
  • , Aron Jansen
  • , Dirk van Lier
  • , Jason Kennedy
  • , Daniel Schwarzkopf
  • , Daniel Thomas-Rüddel
  • , Jesus F. Bermejo-Martin
  • , Ferran Barbe
  • , Nicolette F. de Keizer
  • , Michael Bauer
  • , Johannes G. van der Hoeven
  • , Antoni Torres*
  • , Christopher Seymour
  • , Lonneke van Vught
  • , Peter Pickkers
  • , Matthijs Kox*
  • *Corresponding author for this work
  • Radboud University Nijmegen
  • Centro de Investigación Biomédica en Red de Enfermedades Respiratorias
  • University of Barcelona
  • University of Amsterdam
  • University of Pittsburgh
  • Friedrich Schiller University Jena
  • National Intensive Care Evaluation (NICE) Foundation
  • Amsterdam UMC
  • Hospital Clinic de Barcelona

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Purpose: Disease heterogeneity in coronavirus disease 2019 (COVID-19) may render the current one-size-fits-all treatment approach suboptimal. We aimed to identify and immunologically characterize clinical phenotypes among critically ill COVID-19 patients, and to assess heterogeneity of corticosteroid treatment effect. Methods: We applied consensus k-means clustering on 21 clinical parameters obtained within 24 h after admission to the intensive care unit (ICU) from 13,279 COVID-19 patients admitted to 82 Dutch ICUs from February 2020 to February 2022. Derived phenotypes were reproduced in 6225 COVID-19 ICU patients from Spain (February 2020 to December 2021). Longitudinal immunological characterization was performed in three COVID-19 ICU cohorts from the Netherlands and Germany, and associations between corticosteroid treatment and survival were assessed across phenotypes. Results: We derived three phenotypes: COVIDICU1 (43% of patients) consisted of younger patients with the lowest Acute Physiology And Chronic Health Evaluation (APACHE) scores, highest body mass index (BMI), lowest PaO2/FiO2 ratio, and a 90-day in-hospital mortality rate of 18%. COVIDICU2 patients (37%) had the lowest BMI, were older and had higher APACHE scores and mortality rate (24%) than COVIDICU1. Patients with COVIDICU3 (20%) were the eldest with the most comorbidities, the highest APACHE scores, acute kidney injury and metabolic dysregulations, and the highest mortality rate (47%). These patients also displayed the most pronounced inflammatory response. Corticosteroid therapy started at day 5 [2–9] after ICU admission and administered for 5 [3–7] days was associated with an increased risk for 90-day mortality in patients with the COVIDICU1 and COVIDICU2 phenotypes (hazard ratio [HR] 1.59 [1.09–2.31], p = 0.015 and HR 1.79 [1.42–2.26], p < 0.001, respectively), but not in patients with the COVIDICU3 phenotype (HR 1.08 [0.76–1.54], p = 0.654). Conclusion: Our multinational study identified three distinct clinical COVID-19 phenotypes, each exhibiting marked differences in demographic, clinical, and immunological features, and in the response to late and short-term corticosteroid treatment.

Original languageEnglish
Pages (from-to)1884-1896
Number of pages13
JournalIntensive care medicine
Volume50
Issue number11
Early online date2024
DOIs
Publication statusPublished - Nov 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19
  • Corticosteroids
  • Heterogeneity
  • Inflammation
  • Machine learning
  • Phenotypes

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