Evidence map›Paper›PMID 41461142›Full record

ArticleJournal of trauma and injury2026

Use of the Obstetric Early Warning Score in emergency triage for pregnant trauma patients: a retrospective cross-sectional study on a tool for early hospitalization decision-making.

Figen Topalak, Selen Acehan, Salim Satar, Muge Gulen, Sarper Sevdimbas, Kadir Nigiz, Mehmet Gorur, Ali İsa Aslan, Ihsan Dengiz

Abstract read
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Article in Journal of trauma and injury, 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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2 · The registry

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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

9 authors.

Figen TopalakEmergency Medicine Clinic, Ministry of Health Erdemli State Hospital, Mersin, Turkiye.
Selen AcehanEmergency Medicine Clinic, Adana City Training and Research Hospital, Health Sciences University, Adana, Turkiye.
Salim SatarEmergency Medicine Clinic, Adana City Training and Research Hospital, Health Sciences University, Adana, Turkiye.
Muge GulenEmergency Medicine Clinic, Adana City Training and Research Hospital, Health Sciences University, Adana, Turkiye.
Sarper SevdimbasEmergency Medicine Clinic, Adana City Training and Research Hospital, Health Sciences University, Adana, Turkiye.
Kadir NigizEmergency Medicine Clinic, Adana City Training and Research Hospital, Health Sciences University, Adana, Turkiye.
Mehmet GorurEmergency Medicine Clinic, Adana City Training and Research Hospital, Health Sciences University, Adana, Turkiye.
Ali İsa AslanEmergency Medicine Clinic, Ministry of Health Birecik State Hospital, Sanlıurfa, Turkiye.
Ihsan DengizEmergency Medicine Clinic, Basaksehir Cam ve Sakura Hospital, Health Sciences University, Turkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTraumatic injuries during pregnancy present significant challenges for emergency providers, necessitating rapid assessment to ensure the safety of both mother and fetus. Scoring systems that can be applied immediately upon presentation may facilitate early triage and inform disposition decisions. This study evaluated the predictive performance of the Obstetric Early Warning Score (OEWS), Injury Severity Score (ISS), and Revised Trauma Score (RTS) in determining hospitalization needs among pregnant trauma patients admitted to the emergency department (ED).

methodsThis retrospective cross-sectional study included pregnant trauma patients aged 18 years or older who were admitted to a tertiary care ED between January 2019 and December 2022. Demographic, clinical, laboratory, and trauma-related data were collected. OEWS, ISS, and RTS were calculated at admission. The primary outcome was the requirement for hospitalization. Binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess predictive performance.

resultsA total of 316 pregnant trauma patients were included. Hospitalization was required in 14.9% of cases. Higher OEWS (mean, 2.63 vs. 0.33; P=0.001) and ISS (mean, 18.02 vs. 5.04; P<0.001) were significantly associated with hospitalization. In multivariate analysis, OEWS (odds ratio [OR], 1.553; 95% confidence interval [CI], 1.087-2.219; P=0.016) and ISS (OR, 1.170; 95% CI, 1.083-1.264; P<0.001) were independent predictors of hospitalization. ROC analysis demonstrated that ISS had the highest predictive value (area under the curve, 0.783; 95% CI, 0.695-0.870; P<0.001).

conclusionsBoth ISS and OEWS are effective tools for predicting hospitalization needs in pregnant trauma patients. Incorporating these scoring systems into ED triage protocols may enhance early identification of high-risk patients and improve outcomes for both mothers and fetuses.

Indexed as

Injury Severity ScorePregnancySeverity of illness indexTriageWounds and injuries

Identifiers

PMID41461142
PMCPMC13040086

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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.