Evidence map›Paper›PMID 40804672›Full record

ArticleBMC pulmonary medicine2025

Trajectory-based analysis of early mechanical ventilation PEEP levels and physiological parameter trajectories in ARDS patients and their association with the occurrence of gastrointestinal injury events.

Shi-Tao Huang, Kai-Hua Yu, Xiong-Bin Ma, Yi-Bo Sun, Zhong-Ya Huang, Di Chen, Hong-Lei Li, Li-Ping Liu

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Shi-Tao HuangThe First Clinical Medical College of Lanzhou University, 200 meters east of Maijishan Road and Tianshui South Road in Chengguan District, Lanzhou, Gansu Province, 730000, China.
Kai-Hua YuThe First Clinical Medical College of Lanzhou University, 200 meters east of Maijishan Road and Tianshui South Road in Chengguan District, Lanzhou, Gansu Province, 730000, China.
Xiong-Bin MaThe First Clinical Medical College of Lanzhou University, 200 meters east of Maijishan Road and Tianshui South Road in Chengguan District, Lanzhou, Gansu Province, 730000, China.
Yi-Bo SunThe First Clinical Medical College of Lanzhou University, 200 meters east of Maijishan Road and Tianshui South Road in Chengguan District, Lanzhou, Gansu Province, 730000, China.
Zhong-Ya HuangThe First Clinical Medical College of Lanzhou University, 200 meters east of Maijishan Road and Tianshui South Road in Chengguan District, Lanzhou, Gansu Province, 730000, China.
Di ChenThe First Clinical Medical College of Lanzhou University, 200 meters east of Maijishan Road and Tianshui South Road in Chengguan District, Lanzhou, Gansu Province, 730000, China.
Hong-Lei LiThe First Clinical Medical College of Lanzhou University, 200 meters east of Maijishan Road and Tianshui South Road in Chengguan District, Lanzhou, Gansu Province, 730000, China.
Li-Ping LiuDepartment of Emergency Critical Care Medicine, The First Hospital of Lanzhou University, The First Clinical Medical School of Lanzhou University, No. 1, West Road, Donggang, Chengguan District, Lanzhou, 730000, Gansu Province, China. liulipingldyy@126.com.

Funding

Innovation and Entrepreneurship Talent Project of Lanzhou No. 2020RCCX0030Science and Technology Department of Gansu Province No. 20JR5RA35Science and Technology Program of Gansu Province No. 22JR10KA009the Natural Science Foundation of Gansu Province Project No. 25JRRA567
6 · The paper itself

Abstract

backgroundMechanical ventilation is crucial in the treatment of acute respiratory distress syndrome (ARDS), but is associated with complications, including gastrointestinal injury (GI). This study investigates the association between early mechanical ventilation parameter trajectories and the occurrence of GI events in ARDS patients.

methodsA retrospective cohort study using the MIMIC-IV database employed group-based trajectory modeling (GBTM) to identify trajectory patterns during early mechanical ventilation in ARDS patients. Kaplan-Meier analysis estimated GI events incidence across trajectory groups, and Cox regression models assessed independent risk associations, adjusting for clinical confounders. We evaluated and compared the model in order to enhance its robustness.

resultsA total of 1,344 ARDS patients were included, with four trajectory groups identified. Patients in Group 1 (low PEEP, moderate VT, lower frequency spontaneous breathing) exhibited the highest GI risk, while Group 2 (high PEEP, low tidal volume, controlled spontaneous breathing) had the lowest risk (HR: 0.606, 95% CI: 0.418-0.879, P = 0.008). Kaplan-Meier curves revealed a consistent pattern with Group 1 showing the highest cumulative incidence of GI events. Aspirin use, heparin therapy, renal replacement therapy, and APACHE II score were identified as independent factors for GI events. Subgroup analysis did not show intergroup differences. Sensitivity analyses confirmed model robustness.

conclusionsVentilation parameter trajectories are associated with GI injury risk in ARDS patients. Strategies optimizing PEEP levels and spontaneous breathing may mitigate this risk, supporting the need for individualized ventilation approaches.

Indexed as

Gastrointestinal DiseasesPositive-Pressure RespirationRespiration, ArtificialRespiratory Distress SyndromeAdultAgedFemaleHumansIncidenceKaplan-Meier EstimateMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsTidal VolumeARDSGastrointestinal injuryGroup-based trajectory modelingMechanical ventilationMIMICIV DatabasePEEP

Identifiers

PMID40804672
PMCPMC12351905

What Socratic 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 Socratic graph.