Evidence map›Paper›PMID 42581192›Full record

ArticleNeurocritical care2026

Associations and Predictive Value of Neuroimaging Characteristics for Extubation Failure in Moderate to Severe Traumatic Brain Injury: An Exploratory Analysis.

Ali Abu-Alya, Aaron Gallagher, Wenxuan Xiong, Eliza Baird-Daniel, Shauna Carlson, Christine Fong, Adrienne James, Chiara Robba, Shaurya Taran, Monisha Sharma and 4 more

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Article in Neurocritical care, 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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1 · What the graph read from it

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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.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Ali Abu-AlyaDepartment of Neurology, University of Washington, Seattle, WA, USA. aliabualya@icloud.com.ORCID http://orcid.org/0009-0009-3120-6152
Aaron GallagherDepartment of Neurology, University of Washington, Seattle, WA, USA.
Wenxuan XiongDepartment of Neurology, University of Washington, Seattle, WA, USA.
Eliza Baird-DanielDepartment of Neurological Surgery, University of Washington, Seattle, WA, USA.
Shauna CarlsonHarborview Medical Center Trauma Program, Seattle, WA, USA.
Christine FongDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
Adrienne JamesDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
Chiara RobbaDepartment of Surgical Science and Integrated Diagnostic, University of Genoa, Genoa, Italy.
Shaurya TaranInterdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.
Monisha SharmaDepartment of Global Health, University of Washington, Seattle, WA, USA.
Abhijit V LeleDepartment of Neurology, University of Washington, Seattle, WA, USA.
Robert H BonowDepartment of Neurological Surgery, University of Washington, Seattle, WA, USA.
James A Town *Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA.
Sarah Wahlster *Department of Neurology, University of Washington, Seattle, WA, USA.

Funding

Richard H. Adler Attorney at Law & Adler Giersch Law Firm Endowed Professorship for Traumatic Brain Injury Research GF132601 - AC103650
6 · The paper itself

Abstract

backgroundPredicting successful extubation in traumatic brain injury (TBI) remains challenging. We examined associations between structural neuroimaging characteristics and extubation failure in TBI, and the ability to enhance prognostic models based on clinical characteristics alone.

methodsRetrospective cohort study of patients with moderate-severe TBI [Glasgow Coma Scale (GCS) ≤ 12] who were mechanically ventilated ≥ 24 h and underwent ≥ 1 planned extubation attempt. We fit multivariable logistic regression models (adjusted for age, GCS, and cardiopulmonary disease) to examine associations between validated head computed tomography (CT)-based scores (on both the admission CT and pre-extubation CT) and extubation failure (reintubation ≤ 5 days from extubation). We used DeLong's test to compare the area under the curve (AUC) for two predictive clinical models (model 1: cough, gag, age; model 2: temperature, hypertension, respiratory rate) with and without neuroimaging characteristics.

resultsOf 2044 patients screened, 181 (74% male, 79% White) were included, and 32 (17.7%) experienced extubation failure. No neuroimaging characteristics on admission CT were associated with extubation failure; however, the following pre-extubation CT characteristics were statistically significantly associated with extubation failure: cisternal compression [adjusted odds ratio (aOR) 3.40, 95% confidence interval (CI) 1.46-8.10], cerebral edema score > 2 (aOR 4.02, 95% CI 1.74-9.90), Marshall CT score III-IV-VI (aOR 2.91, 95% CI 1.15-7.21), Rotterdam score > 2 (aOR 2.74, 95% CI 1.16-6.43), and Helsinki score > 5 (aOR 3.43, 95% CI 1.37-8.50). Model prediction improved modestly after adding either cisternal compression or cerebral edema score, although it was not statistically significant (AUCs for models with vs. without cisternal compression: model 1: 0.558 vs. 0.669, p = 0.07 and model 2: 0.727 vs. 0.764, p = 0.20; AUCs for models with vs. without cerebral edema score: model 1: 0.558 vs. 0.664, p = 0.05 and model 2: 0.727 vs. 0.767, p = 0.28).

conclusionsSeveral neuroimaging characteristics on pre-extubation CT, but not admission CT, were associated with extubation failure. The predictive ability of neuroimaging characteristics warrants further exploration in larger cohorts.

Indexed as

Airway extubationAirway managementArtifical respirationClinical decision makingClosed head injuriesCraniocerebral traumaCritical careDiffuse brain injuriesMechanical ventilationMechanical ventilatorsNervous system traumaNeuroimagingPenetrating head injuriesRetrospective studiesTraumatic brain hemorrhageTraumatic brain injuriesX-ray computed tomography

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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.