Evidence map›Paper›PMID 42635466›Full record

ArticleGlobal spine journal2026

Emergency Department Predictors of Mechanical Ventilation in Pediatric Spine Fracture Patients in the US.

Samer G Salman, Rohan A Phadke, Margaret A Baldwin

Abstract read
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Article in Global spine journal, 2026. 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

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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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Samer G SalmanSchool of Medicine, Baylor College of Medicine, Houston, TX, United States.ORCID 0009-0007-9897-4071
Rohan A PhadkeSchool of Medicine, Baylor College of Medicine, Houston, TX, United States.ORCID 0000-0002-8611-6711
Margaret A BaldwinJoseph Barnhart Department of Orthopedic Surgery, Baylor College of Medicine, Houston, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study DesignRetrospective cohort study.ObjectivesTo identify emergency department variables associated with mechanical ventilation among pediatric patients with spine fractures and characterize outcomes by ventilation duration.MethodsWe queried the National Trauma Data Bank from 2017 to 2022 for patients younger than 18 years with cervical, thoracic, or lumbar vertebral fractures. The primary outcome was mechanical ventilation during hospitalization. Thirty-five ED-available predictors were entered into multivariable logistic regression. Discrimination was assessed using the C-statistic, and robustness was tested across 14 prespecified sensitivity and subgroup models. Secondary outcomes were compared across no ventilation, 1 ventilator day, and 2 or more ventilator days.ResultsAmong 29,024 patients, 5,831 (20.1%) received mechanical ventilation. Severe neurologic impairment was the dominant predictor: GCS ≤8 had an adjusted odds ratio (aOR) of 190.52, and GCS 9-12 had an aOR of 15.18. Other independent risk factors included hypotension, penetrating trauma, hypothermia, hypoxemia, shock index ≥0.9, and air transport. Thoracic and lumbar fractures, private vehicle arrival, female sex, interfacility transfer, and helmet use were associated with lower odds. Model discrimination was excellent (C-statistic, 0.928), with consistent performance across sensitivity analyses (C-statistics, 0.916-0.940). Prolonged ventilation occurred in 5,081 patients (17.5%) and was associated with 15.7% mortality, 99.0% ICU admission, median hospital length of stay of 15 days, and higher complication rates.ConclusionsED GCS, physiologic instability, respiratory compromise, and cervical fracture location identified pediatric spine fracture patients at higher risk for mechanical ventilation. Early recognition may support triage, airway planning, ICU allocation, and family counseling.

Indexed as

emergency departmenthemodynamic instabilitymechanical ventilationoutcomespediatricrisk factorsspine fracturetrauma

Identifiers

PMID42635466
PMCPMC13506988

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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.