Evidence map›Paper›PMID 42702744›Full record

ArticleClinical and translational science2026

Flow Index Trajectories During Spontaneous Breathing Trials Are Associated With Extubation Failure: A Latent Class Trajectory Modeling Study.

Jun Shen, Jun Liu, Chang Liu, Xiliang Fu, Meng Xu, Fuhui Yan, Shaokang Yang, Yadan Luo, Sen Lu, Jingchao Luo and 3 more

Abstract read
In one paragraph

Article in Clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

13 authors.

Jun ShenSchool of Clinical Medicine, Qinghai University, Xining, Qinghai, China.ORCID https://orcid.org/0009-0003-5821-591X
Jun LiuOffice of Medical Information and Data, Medical Support Center, the General Hospital of Western Theater Command, PLA, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0000-3452-4767
Chang LiuDepartment of Intensive Care Medicine, Sichuan Academy of Medical Sciences Sichuan Provincial People's Hospital (Affiliated Hospital of University of Electronic Science and Technology of China), Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0008-2377-5243
Xiliang FuDepartment of Intensive Care Medicine, Sichuan Academy of Medical Sciences Sichuan Provincial People's Hospital (Affiliated Hospital of University of Electronic Science and Technology of China), Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0006-6714-0851
Meng XuSchool of Clinical Medicine, Qinghai University, Xining, Qinghai, China.ORCID https://orcid.org/0000-0001-6372-4610
Fuhui YanDepartment of Intensive Care Medicine, Sichuan Academy of Medical Sciences Sichuan Provincial People's Hospital (Affiliated Hospital of University of Electronic Science and Technology of China), Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0004-8672-2350
Shaokang YangDepartment of Intensive Care Medicine, Sichuan Academy of Medical Sciences Sichuan Provincial People's Hospital (Affiliated Hospital of University of Electronic Science and Technology of China), Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0006-5620-1049
Yadan LuoDepartment of Intensive Care Medicine, Sichuan Academy of Medical Sciences Sichuan Provincial People's Hospital (Affiliated Hospital of University of Electronic Science and Technology of China), Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0008-9570-5463
Sen LuDepartment of Intensive Care Medicine, Sichuan Academy of Medical Sciences Sichuan Provincial People's Hospital (Affiliated Hospital of University of Electronic Science and Technology of China), Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0001-7956-9256
Jingchao LuoDepartment of Intensive Care Medicine, Sichuan Academy of Medical Sciences Sichuan Provincial People's Hospital (Affiliated Hospital of University of Electronic Science and Technology of China), Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0001-9349-7543
Xiaobo HuangDepartment of Intensive Care Medicine, Sichuan Academy of Medical Sciences Sichuan Provincial People's Hospital (Affiliated Hospital of University of Electronic Science and Technology of China), Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0005-3017-8859
Yunming LiOffice of Medical Information and Data, Medical Support Center, the General Hospital of Western Theater Command, PLA, Chengdu, Sichuan, China.ORCID https://orcid.org/0000-0001-6363-4869
Chun PanDepartment of Intensive Care Medicine, Sichuan Academy of Medical Sciences Sichuan Provincial People's Hospital (Affiliated Hospital of University of Electronic Science and Technology of China), Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0008-9264-3834

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extubation failure may occur despite a successful spontaneous breathing trial (SBT), suggesting that conventional SBT criteria may not fully capture respiratory reserve. The Flow index (FI), derived from inspiratory flow time waveform morphology, reflects inspiratory effort during pressure support ventilation. We investigated whether FI trajectories during SBT were associated with extubation failure. In this retrospective cohort study, FI values during the final 10 min of SBT were summarized within six prespecified 2 min windows using patient level medians. Latent class trajectory modeling was used to identify FI patterns, followed by clinically and statistically justified consolidation into three trajectory groups. Multivariable logistic regression evaluated the association between FI trajectory and extubation failure. Mean based trajectories and machine learning analyses were performed as exploratory supplementary analyses. Among 432 screened patients, 123 were included, and 27 (22.0%) experienced extubation failure. The consolidated groups were Traj1, stable/moderate reserve (n = 89; failures, 12.4%); Traj2, depleted/low effort (n = 18; failures, 50.0%); and Traj3, escalating/high effort (n = 16; failures, 43.8%). Compared with Traj1, Traj2 (adjusted odds ratio [OR], 8.23; 95% confidence interval [CI], 1.69-39.98; p = 0.009) and Traj3 (adjusted OR, 16.06; 95% CI, 3.02-85.40; p = 0.001) were associated with higher odds of extubation failure after adjustment for age, sex, SOFA score, and dynamic compliance. Median based FI trajectories during SBT identified distinct patterns associated with extubation failure and may provide complementary post SBT risk stratification information. Prospective external validation is required before clinical implementation.

Indexed as

Airway ExtubationVentilator WeaningAgedFemaleHumansLatent Class AnalysisMaleMiddle AgedRespirationRetrospective StudiesTreatment Failureexploratory machine learningextubation failureflow index trajectoryinspiratory effortlatent class trajectory modelingspontaneous breathing trial

Identifiers

PMID42702744
PMCPMC13547583

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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.