Clinical subtypes in critically ill patients with sepsis: validation and parsimonious classifier model development
The distribution and mortality rates of clinical sepsis subtypes varied between US and European cohorts. A three-variable model could accurately identify the δ-type sepsis patients.
Authors
- Emma Rademaker (ORCID: https://orcid.org/0000-0001-5143-5723)
- Joe M. Butler (ORCID: https://orcid.org/0000-0001-6781-6408)
- Rombout B. E. van Amstel (ORCID: https://orcid.org/0000-0001-9296-8518)
- Jason Kennedy (ORCID: https://orcid.org/0000-0001-7604-899X)
- Tom van der Poll (ORCID: https://orcid.org/0000-0002-9199-5079)
- Lieuwe D. J. Bos (ORCID: https://orcid.org/0000-0003-2911-4549)
- Niklas Bruse (ORCID: https://orcid.org/0000-0001-5146-5295)
- Lonneke A. van Vught (ORCID: https://orcid.org/0000-0002-0152-3044)
- Hessel Peters‐Sengers (ORCID: https://orcid.org/0000-0003-3145-864X)
- Matthijs Kox (ORCID: https://orcid.org/0000-0001-6537-6971)
- Alexander P. J. Vlaar (ORCID: https://orcid.org/0000-0002-3453-7186)
- Dave Anton Dongelmans (ORCID: https://orcid.org/0000-0001-8477-6671)
- Olaf L. Cremer (ORCID: https://orcid.org/0000-0003-4264-1108)
- Christopher W. Seymour (ORCID: https://orcid.org/0000-0002-6257-6764)
Institutions
- Radboud University Nijmegen (NL)
- University of Pittsburgh (US)
- Radboud University Medical Center (NL)
- University Medical Center Utrecht (NL)
- Amsterdam Neuroscience (NL)
- Amsterdam University Medical Centers (NL)
- Vrije Universiteit Amsterdam (NL)
- University of Amsterdam (NL)
Publication Details
- Journal
- Critical Care
- Published
- 2025-02-04
- DOI
- https://doi.org/10.1186/s13054-025-05256-3
- Citations
- 10
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 24.81
Funders
- Amsterdam University Medical Centers
- Universiteit van Amsterdam
- Center for Translational Molecular Medicine