Evidence map›Paper›PMID 42060571›Full record

ArticlePloS one2026

Comparative efficacy of trauma scoring for predicting in-hospital mortality in elderly patients in China and Thailand: A multicenter retrospective study.

Rui Lu, Ploytip Jansiriyotin, Tanyamon Kittidumkerng, Natthida Owattanapanich, Kaweesak Chittawatanarat

Abstract readMulticenter StudyComparative Study
In one paragraph

Article in PloS one, 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

What it found

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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

5 authors.

Rui LuDepartment of Surgery, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Ploytip JansiriyotinDepartment of Surgery, Khon Kaen Hospital, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0002-1958-4072
Tanyamon KittidumkerngDepartment of Surgery, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Natthida OwattanapanichDivision of Trauma Surgery, Department of Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Kaweesak ChittawatanaratDepartment of Surgery, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID https://orcid.org/0000-0002-0285-6596

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith global population aging, trauma prediction models are essential for elderly patients, yet established scoring systems lack validation in Asian populations. This study evaluates clinical characteristics, mortality risk factors, and the predictive efficacy of trauma scoring systems in elderly trauma patients in China and Thailand.

methodsThis multicenter retrospective cohort study included trauma patients aged ≥65 years admitted to four Level 1 trauma centers between 01/01/2023 and 31/12/2023. The analyzed variables included demographics, clinical data, and trauma scores (ISS, NISS, RTS, TRISS, GTOS). Multivariable logistic regression and ROC curve analysis were performed.

resultsAmong 963 patients (median age 73 years; 50.6% female), in-hospital mortality was 7.9%. Independent risk factors included age, cancer history, INR, blood transfusion, GCS, and all trauma scores. TRISS had the highest predictive value (AUC = 0.871), followed by GTOS (0.852) and RTS (0.839), all outperforming ISS and NISS.

conclusionAge, comorbidities, and trauma scores are significant predictors of in-hospital mortality in elderly trauma patients. TRISS, GTOS, and RTS offer superior prognostic performance, aiding early identification and management of high-risk individuals.

Indexed as

Hospital MortalityTrauma Severity IndicesWounds and InjuriesAgedAged, 80 and overChinaFemaleHumansInjury Severity ScoreMalePrognosisRetrospective StudiesRisk FactorsROC CurveThailandTrauma Centers

Identifiers

PMID42060571
PMCPMC13132200

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