Evidence map›Paper›PMID 41678036›Full record

ArticleIntensive care medicine experimental2026

Time-series clustering analysis reveals distinct patterns of cytomegalovirus viremia in critically ill adults.

Jan-Hendrik Naendrup, Oliver Martin Hilbers, Henning Gruell, Lisa Altenrath, Jan-Michel Heger, Dennis Alexander Eichenauer, Boris Böll, Matthias Kochanek, Alexander Shimabukuro-Vornhagen, Jorge Garcia Borrega

Abstract read
In one paragraph

Article in Intensive care medicine experimental, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jan-Hendrik NaendrupDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany. jan-hendrik.naendrup@uk-koeln.de.ORCID http://orcid.org/0000-0002-6420-7938
Oliver Martin HilbersDepartment of Surgery, St. Elisabeth Hospital, Cologne, Germany.
Henning GruellInstitute of Virology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Lisa AltenrathDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Jan-Michel HegerDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Dennis Alexander EichenauerDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Boris BöllDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Matthias KochanekDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Alexander Shimabukuro-VornhagenDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Jorge Garcia BorregaDepartment I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCritically ill patients are at increased risk for cytomegalovirus (CMV) reactivation, which is associated with poorer clinical outcomes. However, little is known about the longitudinal viremia trajectories in this population.

methodsThis retrospective single-center study was conducted in a medical ICU and included patients with CMV viremia ≥ 1000 International Units CMV-DNA per milliliter whole blood (IU/mL) treated between March 2014 and April 2021. Time-series clustering was applied to identify subgroups of patients with similar longitudinal viremia trajectories.

results82 patients were included in the final analysis. Time-series clustering identified three distinct clusters: (1) patients with initial high viremia (median 46,700 IU/mL), 94% receiving treatment and showing subsequent steep reduction of viremia; (2) patients with moderate viremia (median 2720 IU/mL) and subsequent increase in viral load, treated in 52%; and (3) patients with moderate viremia (median 3120 IU/mL), 63% receiving treatment and showing stable viral load in follow-up measurements. No significant differences were identified between the clusters with respect to patient characteristics, including underlying immunosuppression. With respect to disease severity, the Acute Physiology and Chronic Health Evaluation II (APACHE-II) score was highest in cluster 3 and among patients without follow-up CMV-DNA measurements (P = 0.029), while the Sequential Organ Failure Assessment (SOFA) score demonstrated a similar directional trend without reaching statistical significance. Survival differed significantly between the clusters in the Kaplan-Meier estimate (p = 0.008); however, absolute 1-year survival was low across all clusters (cluster 1: 0%, cluster 2: 33%, cluster 3: 32%, patients without follow-up CMV measurement: 14%; p = 0.062). Probable CMV pneumonia with respiratory symptoms and CMV-DNA detection in bronchoalveolar lavage fluid was the most common disease manifestation (cluster 1: 35%; cluster 2: 28%; cluster 3: 7.5%; patients without follow-up CMV measurement: 23%; p = 0.040).

conclusionsIn 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.

Indexed as

CMV diseaseCMV reactivationGanciclovirTreatment thresholdViral load

Identifiers

PMID41678036
PMCPMC12901805

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.