Evidence map›Paper›PMID 40089666›Full record

Observational studyBMC anesthesiology2025

Clinical predictors of extubation failure in postoperative critically ill patients: a post-hoc analysis of a multicenter prospective observational study.

Jun Hattori, Aiko Tanaka, Junko Kosaka, Osamu Hirao, Nana Furushima, Yuichi Maki, Daijiro Kabata, Akinori Uchiyama, Moritoki Egi, Hiroshi Morimatsu and 6 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC anesthesiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07672106 (Assessment of Reintubation Risk Using Multiple Parameters in Postoperative Intensive Care Unit Patients), which is not on this 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.

NCT07672106 recruitingnot on this mapstarted 2026, after this paper: background citation

Assessment of Reintubation Risk Using Multiple Parameters in Postoperative Intensive Care Unit Patients

TypeobservationalSponsorProf. Dr. Cemil Tascıoglu Education and Research Hospital OrganizationRan2026 to 2026Enrolled600ConditionsPostoperative Respiratory Failure, Extubation Failure, Lung Ultrasonography Score, Diaphragm Thickness
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

16 authors.

Jun HattoriFaculty of Medicine, Osaka University, 2-15 Yamadaoka, Suita, 565-0871, Osaka, Japan.
Aiko TanakaDepartment of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, 2-15 Yamadaoka, Suita, 565-0871, Osaka, Japan. aikotanakaicu@gmail.com.ORCID http://orcid.org/0000-0002-8990-1336
Junko KosakaDepartment of Anesthesiology and Resuscitology, Okayama University Hospital, 2-5-1 Shikata-cho, Kita- ku, Okayama, 700-8558, Japan.
Osamu HiraoDepartment of Anesthesiology, Osaka General Medical Center, 3-1-56 Bandai-Higashi, Sumiyoshi-ku, Osaka, 558-8558, Japan.
Nana FurushimaDepartment of Anesthesiology and Intensive Care Medicine, Kobe University Hospital, 7-5-2 Kusunoki- cho, Chuo-ku, Kobe City, 650-0017, Japan.
Yuichi MakiDepartment of Anesthesiology, Toho University Ohashi Medical Center, 2-22-36, Ohashi, 153-8515, Meguro, Tokyo, Japan.
Daijiro KabataCenter for Mathematical and Data Science, Kobe University, 1-1 Rokkodai-cho, Nada-ku, Kobe, 657-8501, Hyogo, Japan.
Akinori UchiyamaDepartment of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, 2-15 Yamadaoka, Suita, 565-0871, Osaka, Japan.
Moritoki EgiDepartment of Anesthesia, Kyoto University Hospital, 54 Shogoin-kawahara-cho, Sakyo-Ku, Kyoto, 606- 8507, Japan.
Hiroshi MorimatsuDepartment of Anesthesiology and Resuscitology, Okayama University Hospital, 2-5-1 Shikata-cho, Kita- ku, Okayama, 700-8558, Japan.
Satoshi MizobuchiDepartment of Anesthesiology and Intensive Care Medicine, Kobe University Hospital, 7-5-2 Kusunoki- cho, Chuo-ku, Kobe City, 650-0017, Japan.
Yoshifumi KotakeDepartment of Anesthesiology, Toho University Ohashi Medical Center, 2-22-36, Ohashi, 153-8515, Meguro, Tokyo, Japan.
Ayumi ShintaniDepartment of Medical Statistics, Graduate School of Medicine, Osaka Metropolitan University, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
Yukiko KoyamaDepartment of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, 2-15 Yamadaoka, Suita, 565-0871, Osaka, Japan.
Takeshi YoshidaDepartment of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, 2-15 Yamadaoka, Suita, 565-0871, Osaka, Japan.
Yuji FujinoDepartment of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, 2-15 Yamadaoka, Suita, 565-0871, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostoperative patients constitute majority of critically ill patients, although factors predicting extubation failure in this group of patients remain unidentified. Aiming to propose clinical predictors of reintubation in postoperative patients, we conducted a post-hoc analysis of a multicenter prospective observational study.

methodsThis study included postoperative critically ill patients who underwent mechanical ventilation for > 24 h and were extubated after a successful 30-min spontaneous breathing trial. The primary outcome was reintubation within 48 h after extubation, and clinical predictors for reintubation were investigated using logistic regression analyses.

resultsAmong the 355 included patients, 10.7% required reintubation. Multivariable logistic regression identified that the number of endotracheal suctioning episodes during the 24 h before extubation and underlying respiratory disease or pneumonia occurrence were significantly associated with reintubation (adjusted odds ratio [OR] 1.11, 95% confidence interval [CI] 1.05-1.18, p < 0.001; adjusted OR 2.58, 95%CI 1.30-5.13, p = 0.007). The probability of reintubation was increased significantly with the higher frequency of endotracheal suctioning, as indicated by restricted cubic splines. Subgroup analysis showed that these predictors were consistently associated with reintubation regardless of the use of noninvasive respiratory support after extubation.

conclusionsEndotracheal suctioning frequency and respiratory complications were identified as independent predictors of reintubation. These readily obtainable predictors may aid in decision-making regarding the extubation of postoperative patients.

Indexed as

Airway ExtubationCritical IllnessIntubation, IntratrachealAgedFemaleHumansMaleMiddle AgedProspective StudiesRespiration, ArtificialClinical predictorCritical careEndotracheal suctioningExtubation failurePostoperative patientReintubation

Identifiers

PMID40089666
PMCPMC11909811

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Registered trials

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.