Evidence map›Paper›PMID 42270296›Full record

ArticleBMJ open respiratory research2026

Estimated plasma volume for predicting sepsis-associated ARDS risk: a multicentre retrospective cohort study.

Lina Zhao, Lei Zong, Wei Wei, Yuehao Shen, Haiying Liu, Xuguang Li, Dongxue Huang, Daihua Yu, Fei Yang, Yunying Wang and 4 more

Abstract readMulticenter Study
In one paragraph

Article in BMJ open respiratory research, 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

14 authors.

Lina Zhao *Department of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Lei Zong *Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.ORCID http://orcid.org/0009-0005-8441-6058
Wei Wei *Department of Pathology, The Affiliated Hospital of Northwest University, Xi'an No 3 Hospital, Xi'an, Shaanxi, China.
Yuehao ShenDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Haiying LiuDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Xuguang LiDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Dongxue HuangDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Daihua YuDepartment of Critical Care Medicine, The Affiliated Hospital of Northwest University, Xi'an No 3 Hospital, Xi'an, Shaanxi, People's Republic of China.
Fei YangDepartment of Critical Care Medicine, Chifeng Clinical Medical College of Inner Mongolia Medical University, Chifeng Municipal Hospital, Chifeng, Inner Mongolia, China.
Yunying WangDepartment of Critical Care Medicine, Chifeng Clinical Medical College of Inner Mongolia Medical University, Chifeng Municipal Hospital, Chifeng, Inner Mongolia, China.
Xiaopeng ShiDepartment of Emergency Medicine, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Yun Li *Department of Anesthesiology, The Second Hospital of Tianjin Medical University, Tianjin, China xiekeliang2009@hotmail.com yiwang_tjmughns@126.com cfsyy_liyun@126.com.
Yi WangDepartment of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China xiekeliang2009@hotmail.com yiwang_tjmughns@126.com cfsyy_liyun@126.com.
Keliang XieDepartment of Critical Care Medicine, Tianjin Medical University General Hospital, Tianjin, China xiekeliang2009@hotmail.com yiwang_tjmughns@126.com cfsyy_liyun@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis-associated acute respiratory distress syndrome (SA-ARDS) is a lethal complication demanding early predictors. This study assessed estimated plasma volume status (ePVS) for predicting SA-ARDS development.

methodsThis multicentre cohort study analysed 3854 adult patients with sepsis 3.0 from China. The primary outcome was the incidence of SA-ARDS. Multivariate logistic regression, propensity score matching (PSM) and inverse probability weighting (IPW) were used to assess associations between ePVS and SA-ARDS.

resultsElevated ePVS was independently associated with SA-ARDS incidence across all models (multivariate OR: 1.56, 95% CI 1.50 to 1.63; PSM OR: 1.72, 1.63 to 1.81; IPW OR: 1.58, 1.49 to 1.69; p<0.001). Receiver operating characteristic analysis demonstrated a strong discriminative ability of ePVS for SA-ARDS incidence (area under the curve (AUC): 0.772, 95% CI 0.757 to 0.788). SA-ARDS patients exhibited higher mortality (31.8% vs 23.1%, p<0.001), mechanical ventilation (MV) use (82.3% vs 48.4%, p<0.001) and continuous renal replacement therapy (CRRT) requirements (7.7% vs 4.7%, p<0.001). Generalised additive model analysis revealed a significant linear association between ePVS >8.0 dL/g and SA-ARDS mortality (p<0.001). Although ePVS >8.0 dL/g alone showed limited predictive value for in-hospital mortality in SA-ARDS patients (AUC: 0.549), its combination with acute physiology and chronic health evaluation II significantly improved discrimination (AUC: 0.823). This synergistic effect persisted even after excluding early deaths (≤72 hours), reinforcing ePVS's complementary role alongside established severity scores in mortality risk stratification. Stratified analysis revealed ePVS levels strongly correlated with acute respiratory distress syndrome (ARDS) severity (p<0.001), particularly distinguishing mild from moderate cases. Patients with pulmonary infections exhibited higher ePVS than non-pulmonary sources (p<0.001).

conclusionsThese findings highlight ePVS is strongly associated with ARDS onset, disease severity and mortality risk, supporting its utility as a prognostic marker in risk stratification.

Indexed as

Respiratory Distress SyndromeSepsisAgedChinaFemaleHospital MortalityHumansIncidenceLogistic ModelsMaleMiddle AgedPredictive Value of TestsPropensity ScoreRespiration, ArtificialRetrospective StudiesRisk AssessmentARDSCritical CarePatient Outcome Assessment

Identifiers

PMID42270296
PMCPMC13264873

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.