Evidence map›Paper›PMID 41942888›Full record

ArticleBMC infectious diseases2026

Association between trajectory of estimated plasma volume status and ICU mortality in sepsis patients: a retrospective cohort study.

Ende Hu, Jiaxing Ke, Qian Chen, Yang Zhang, Ziming Wang

Abstract read
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ende HuDepartment of Intensive Care Unit, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China.
Jiaxing Ke *Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian, 350001, China.
Qian ChenDepartment of Ultrasound, the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, China.
Yang ZhangDepartment of Endocrinology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian, 350001, China. 50086573@qq.com.
Ziming WangThe First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology, Luoyang, Henan, 471000, China. wzmyx20@163.com.

Funding

the In-hospital Supporting Fund of Fujian Provincial Hospital Affiliated to Fuzhou University Grant No. 00802722
6 · The paper itself

Abstract

backgroundThis study aims to elucidate the association between estimated plasma volume status (ePVS) trajectory changes and intensive care unit (ICU) mortality.

methodsData were extracted from the MIMIC-IV (version 3.1) database from 2008 to 2022. Patients aged 18 to 80 years who met the Sepsis-3 criteria were included. Patients who were not in their first hospital admission or first ICU stay, had an ICU stay shorter than 7 days or longer than 100 days, or lacked sufficient hemoglobin or hematocrit data to calculate ePVS at the required time points were excluded. Group-based trajectory modeling (GBTM) was used to identify distinct ePVS trajectories. Kaplan-Meier survival curves and Cox proportional hazards models were used to compare ICU mortality across ePVS trajectory groups. Restricted cubic splines (RCS) were used to analyze the dose-response relationship between Day 1 ePVS and outcomes.

resultsAmong 5208 patients with sepsis, three distinct ePVS trajectories were identified, namely Trajectory 1 (low-ascend), Trajectory 2 (medium-ascend), Trajectory 3 (high-ascend). Kaplan–Meier analysis showed Trajectory 1 having the highest survival probability among the ePVS trajectories. After multivariable adjustment, Trajectory 3 remained significantly associated with a higher risk of ICU mortality compared with Trajectory 1, with a hazard ratio (HR) of 1.20 (95%CI 1.01–1.44, p = 0.039). RCS analysis showed a significant linear association between Day 1 ePVS and ICU mortality. Subgroup analyses showed generally consistent results, and no significant interactions were detected.

conclusionDistinct ePVS trajectories were associated with ICU mortality in sepsis patients, with the high-ascend trajectory showing the highest mortality risk. CLINICAL TRIAL: Not applicable.

Indexed as

Hospital MortalityIntensive Care UnitsPlasma VolumeSepsisAdolescentAdultAgedAged, 80 and overFemaleHumansKaplan-Meier EstimateMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesYoung AdultIntensive care unitsLongitudinal studiesPlasma volumePrognosisSepsis

Identifiers

PMID41942888
PMCPMC13182123

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.