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Development and Asian-wide validation of the Grade for Interpretable Field Triage (GIFT) for predicting mortality in pre-hospital patients using the Pan-Asian Trauma Outcomes Study (PATOS).
Yu, Jae Yong; Heo, Sejin; Xie, Feng; Liu, Nan; Yoon, Sun Yung; Chang, Han Sol; Kim, Taerim; Lee, Se Uk; Hock Ong, Marcus Eng; Ng, Yih Yng; Do Shin, Sang; Kajino, Kentaro; Cha, Won Chul.
Afiliação
  • Yu JY; Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea.
  • Heo S; Digital & Smart Health Office, Tan Tock Seng Hospital, Singapore.
  • Xie F; Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea.
  • Liu N; Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
  • Yoon SY; Programme in Health Services and Systems Research, Duke-National University of Singapore Medical School, Singapore.
  • Chang HS; Department of Biomedical Data Science, Stanford University, Stanford, USA.
  • Kim T; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, USA.
  • Lee SU; Programme in Health Services and Systems Research, Duke-National University of Singapore Medical School, Singapore.
  • Hock Ong ME; Health Service Research Centre, Singapore Health Services, Singapore.
  • Ng YY; Institute of Data Science, National University of Singapore, Singapore.
  • Do Shin S; Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea.
  • Kajino K; Department of Digital Health, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea.
  • Cha WC; Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Lancet Reg Health West Pac ; 34: 100733, 2023 May.
Article em En | MEDLINE | ID: mdl-37283981
ABSTRACT

Background:

Field triage is critical in injury patients as the appropriate transport of patients to trauma centers is directly associated with clinical outcomes. Several prehospital triage scores have been developed in Western and European cohorts; however, their validity and applicability in Asia remains unclear. Therefore, we aimed to develop and validate an interpretable field triage scoring systems based on a multinational trauma registry in Asia.

Methods:

This retrospective and multinational cohort study included all adult transferred injury patients from Korea, Malaysia, Vietnam, and Taiwan between 2016 and 2018. The outcome of interest was a death in the emergency department (ED) after the patients' ED visit. Using these results, we developed the interpretable field triage score with the Korea registry using an interpretable machine learning framework and validated the score externally. The performance of each country's score was assessed using the area under the receiver operating characteristic curve (AUROC). Furthermore, a website for real-world application was developed using R Shiny.

Findings:

The study population included 26,294, 9404, 673 and 826 transferred injury patients between 2016 and 2018 from Korea, Malaysia, Vietnam, and Taiwan, respectively. The corresponding rates of a death in the ED were 0.30%, 0.60%, 4.0%, and 4.6% respectively. Age and vital sign were found to be the significant variables for predicting mortality. External validation showed the accuracy of the model with an AUROC of 0.756-0.850.

Interpretation:

The Grade for Interpretable Field Triage (GIFT) score is an interpretable and practical tool to predict mortality in field triage for trauma.

Funding:

This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (Grant Number HI19C1328).
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Lancet Reg Health West Pac Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Coréia do Sul

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Lancet Reg Health West Pac Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Coréia do Sul