Quantifying immune dysregulation in pneumonia and sepsis with a parsimonious machine-learning model: a multicohort analysis across care settings and reanalysis of a hydrocortisone randomised controlled trial

The Lancet Respiratory Medicine 2026

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Authors: Erik H A Michels, Pierre‐François Dequin, Joe M Butler, Antoine Guillon, Bruno Evrard, Fleur P. Paling, Tom D Y Reijnders, Alex R. Schuurman, Tjitske S R van Engelen, Xanthe Brands, Bastiaan W Haak, Lieuwe D J Bos
+16 more Carolyn Leroux, Evangelos J. Giamarellos-Bourboulis, Jaap Stoker, Jan M Prins, Daniel Faber, Renée A. Douma, Timothy E Sweeney, Surbhi Malhotra-Kumar, Jan A J W Kluytmans, Brendon P. Scicluna, Olaf L Cremer, Michael Matthay, Carolyn Calfee, W Joost Wiersinga, Hessel Peters-Sengers, Tom van der Poll
DOI: 10.1016/s2213-2600(25)00429-1
Cited by: 13
References: 28

Fields of Study & Subjects

Sepsis Diagnosis and Treatment Adrenal Hormones and Disorders Immune Response and Inflammation

Publication details

Journal / source
The Lancet Respiratory Medicine
Publisher
Elsevier BV
Volume
14
Issue
4
Pages
327–340
Publication date
17 March 2026
Language
EN