Time-series clustering analysis reveals distinct patterns of cytomegalovirus viremia in critically ill adults
In this hypothesis-generating study, time-series clustering analysis identified three subgroups with distinct longitudinal viremia trajectories which significantly differed in viral load, treatment decisions and survival over time. The diagnostic and therapeutic relevance of longitudinal CMV viremia trajectories and the optimal CMV-DNA threshold for treatment initiation in ICU patients remain undefined and might differ from other cohorts.
Authors
- Henning Gruell (ORCID: https://orcid.org/0000-0002-0725-7138)
- Alexander Shimabukuro‐Vornhagen (ORCID: https://orcid.org/0000-0002-2351-7294)
- B. Böll
- Dennis A. Eichenauer (ORCID: https://orcid.org/0000-0002-1927-3514)
- Jorge Garcia Borrega (ORCID: https://orcid.org/0000-0003-1326-1560)
- Lisa Altenrath
- Jan-Hendrik Naendrup
- Matthias Kochanek
- Oliver Martin Hilbers
Institutions
- University of Cologne (DE)
- Düsseldorf University Hospital (DE)
- Integrated Oncology (United States) (US)
- St. Elisabeth-Hospital Bochum (DE)
- University Hospital Cologne (DE)
- Heinrich Heine University Düsseldorf (DE)
Publication Details
- Journal
- Intensive Care Medicine Experimental
- Published
- 2026-02-12
- DOI
- https://doi.org/10.1186/s40635-026-00866-9
- Primary Topic
- Cytomegalovirus and herpesvirus research
- Type
- article
- Field-Weighted Citation Impact
- 0.00