Temporal robustness of biomarker-based classification algorithms for sepsis.

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Title: Temporal robustness of biomarker-based classification algorithms for sepsis.
Authors: Rademaker E; Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands. e.rademaker-2@umcutrecht.nl.; Department of Intensive Care, University Medical Center Utrecht, Utrecht, The Netherlands. e.rademaker-2@umcutrecht.nl., van Amstel RBE; Department of Intensive Care, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands., El Bouhaddani S; Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.; Department of Intensive Care, University Medical Center Utrecht, Utrecht, The Netherlands., Bonten MJM; Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.; European Clinical Research Alliance on Infectious Diseases, Utrecht, The Netherlands., Derde LPG; Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.; Department of Intensive Care, University Medical Center Utrecht, Utrecht, The Netherlands., van Vught L; Julius Centre for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.; Department of Intensive Care, University Medical Center Utrecht, Utrecht, The Netherlands., van der Poll T; Center for Experimental and Molecular Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands., Bos LDJ; Department of Intensive Care, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands., de Grooth HJ; Department of Intensive Care, University Medical Center Utrecht, Utrecht, The Netherlands., Cremer OL; Department of Intensive Care, University Medical Center Utrecht, Utrecht, The Netherlands.
Source: Intensive care medicine [Intensive Care Med] 2026 Jan; Vol. 52 (1), pp. 22-30. Date of Electronic Publication: 2025 Dec 01.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Springer Verlag Country of Publication: United States NLM ID: 7704851 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1238 (Electronic) Linking ISSN: 03424642 NLM ISO Abbreviation: Intensive Care Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-1238
DOI:10.1007/s00134-025-08218-z