Temporal robustness of biomarker-based classification algorithms for sepsis
Sepsis patients were frequently reclassified across immune profiles over short intervals, with approximately one-third of subgroup peers changing at each timepoint. This instability challenges the clinical utility of biomarker-derived endotypes.
Authors
- Emma Rademaker (ORCID: https://orcid.org/0000-0001-5143-5723)
- Rombout B. E. van Amstel (ORCID: https://orcid.org/0000-0001-9296-8518)
- Tom van der Poll (ORCID: https://orcid.org/0000-0002-9199-5079)
- Lieuwe D. J. Bos (ORCID: https://orcid.org/0000-0003-2911-4549)
- Marc J. M. Bonten (ORCID: https://orcid.org/0000-0002-9095-9201)
- Said el Bouhaddani (ORCID: https://orcid.org/0000-0002-2279-4337)
- Harm‐Jan de Grooth (ORCID: https://orcid.org/0000-0002-7499-076X)
- Lonneke van Vught
- Olaf L. Cremer (ORCID: https://orcid.org/0000-0003-4264-1108)
- Lennie P. G. Derde (ORCID: https://orcid.org/0000-0002-3577-5629)
Institutions
- University Medical Center Utrecht (NL)
- European Society of Clinical Microbiology and Infectious Diseases (CH)
- Amsterdam University Medical Centers (NL)
- University of Amsterdam (NL)
Publication Details
- Journal
- Intensive Care Medicine
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1007/s00134-025-08218-z
- Citations
- 2
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.71
Funders
- Center for Translational Molecular Medicine