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
- DOI
- 10.1016/s2213-2600(25)00429-1
- Published
- 2026-04
- Container
- The Lancet Respiratory Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/s2213-2600-25-00429-1,
title = {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},
author = {Erik H A Michels and Pierre-François Dequin and Joe M Butler and Antoine Guillon and Bruno Evrard and Fleur P Paling and Tom D Y Reijnders and Alex R Schuurman and Tjitske S R van Engelen and Xanthe Brands and Bastiaan W Haak and Lieuwe D J Bos and Carolyn Leroux and Evangelos J Giamarellos-Bourboulis and Jaap Stoker and Jan M Prins and Daniël R Faber and Renée A Douma and Timothy E Sweeney and Surbhi Malhotra-Kumar and Jan A J W Kluytmans and Brendon P Scicluna and Olaf L Cremer and Michael Matthay and Carolyn Calfee and W Joost Wiersinga and Hessel Peters-Sengers and Tom van der Poll},
year = {2026},
journal = {The Lancet Respiratory Medicine},
doi = {10.1016/s2213-2600(25)00429-1},
url = {https://doi.org/10.1016/s2213-2600(25)00429-1}
}RIS
TY - JOUR TI - 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 AU - Erik H A Michels AU - Pierre-François Dequin AU - Joe M Butler AU - Antoine Guillon AU - Bruno Evrard AU - Fleur P Paling AU - Tom D Y Reijnders AU - Alex R Schuurman AU - Tjitske S R van Engelen AU - Xanthe Brands AU - Bastiaan W Haak AU - Lieuwe D J Bos AU - Carolyn Leroux AU - Evangelos J Giamarellos-Bourboulis AU - Jaap Stoker AU - Jan M Prins AU - Daniël R Faber AU - Renée A Douma AU - Timothy E Sweeney AU - Surbhi Malhotra-Kumar AU - Jan A J W Kluytmans AU - Brendon P Scicluna AU - Olaf L Cremer AU - Michael Matthay AU - Carolyn Calfee AU - W Joost Wiersinga AU - Hessel Peters-Sengers AU - Tom van der Poll PY - 2026 JO - The Lancet Respiratory Medicine DO - 10.1016/s2213-2600(25)00429-1 UR - https://doi.org/10.1016/s2213-2600(25)00429-1 ER -
APA
Michels, E. H. A., Dequin, P., Butler, J. M., Guillon, A., Evrard, B., Paling, F. P., Reijnders, T. D. Y., Schuurman, A. R., Engelen, T. S. R. V., Brands, X., Haak, B. W., Bos, L. D. J., Leroux, C., Giamarellos-Bourboulis, E. J., Stoker, J., Prins, J. M., Faber, D. R., Douma, R. A., Sweeney, T. E., Malhotra-Kumar, S., Kluytmans, J. A. J. W., Scicluna, B. P., Cremer, O. L., Matthay, M., Calfee, C., Wiersinga, W. J., Peters-Sengers, H., & Poll, T. V. D. (2026). 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. https://doi.org/10.1016/s2213-2600(25)00429-1
Source records
- crossref · retrieved 2026-09-26T07:21:08.377Z