Evidence map›Paper›PMID 41860628›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2026

Systemic injury extension and mechanism of trauma determine ICU admission in CT-confirmed maxillofacial fractures.

Tugay Usta, Osman Faruk Bayramlar, Servet Yüce, Turker Demirtakan, Eren Sert, Salih Fettahoğlu, Onur İncealtın

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Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 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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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

7 authors.

Tugay UstaDepartment of Emergency Medicine, Kanuni Sultan Suleyman Training and Research Hospital, Istanbul, Turkey. tugayusta34@gmail.com.ORCID http://orcid.org/0000-0002-8432-0292
Osman Faruk BayramlarDepartment of Public Health, Sabancı Holding, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-7311-3258
Servet YüceDepartment of Public Health, Istanbul Provincial Health Directorate, Istanbul, Turkey.
Turker DemirtakanDepartment of Emergency Medicine, Taksim Research and Training Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-4075-5518
Eren SertDepartment of Emergency Medicine, Kanuni Sultan Suleyman Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-6848-6877
Salih FettahoğluDepartment of Emergency Medicine, Kanuni Sultan Suleyman Training and Research Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0003-0405-3938
Onur İncealtınDepartment of Emergency Medicine, Istanbul Goztepe Prof. Dr. Suleyman Yalcin City Hospital, Istanbul, Turkey.ORCID http://orcid.org/0000-0001-6335-674X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate whether intensive care unit (ICU) admission in CT-confirmed maxillofacial trauma is primarily associated with facial fracture burden or with radiologically defined systemic injury extension.

methodsThis retrospective cohort study included 1,511 patients with CT-confirmed maxillofacial fractures treated at a tertiary trauma center. Injury mechanism, fracture multiplicity (mFISS-face), and systemic extension (cranial and thoracic involvement) were assessed. Multivariable Firth penalized logistic regression was performed to identify independent predictors of ICU admission. Model discrimination, calibration, and internal validation were evaluated using AUC, calibration metrics, Brier score, and bootstrap resampling.

resultsICU admission occurred in 37 patients (2.45%). In multivariable analysis, age (aOR 1.04 per year, p < 0.001), traffic-related mechanism (aOR 2.74, p = 0.038), thoracic injury (aOR 25.08, p < 0.001), and cranial extension (aOR 98.24, p < 0.001) were independently associated with ICU admission. Fracture multiplicity demonstrated borderline significance (aOR 1.32, p = 0.071). The model showed good discrimination (optimism-corrected AUC 0.874), acceptable calibration (calibration slope 0.98), and low overall prediction error (Brier score 0.016).

conclusionIn CT-confirmed maxillofacial trauma, ICU admission is predominantly associated with systemic injury extension—particularly cranial and thoracic involvement—rather than facial fracture burden alone. An imaging-based parsimonious model demonstrated stable performance and may support anatomy-informed ICU triage decisions. External validation is required prior to clinical implementation. CLINICAL

trial registrationNot applicable.

Indexed as

Intensive Care UnitsMaxillofacial InjuriesPatient AdmissionAdultCohort StudiesFemaleHumansInjury Severity ScoreMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedTrauma CentersComputed tomographyCranial injuryIntensive care unit admissionMaxillofacial fracturesThoracic injuryTrauma mechanism

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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.