Nationwide Evaluation of the Validity of the Trauma and Injury Severity Score Method in Korean Regional Trauma Centers Using Multi-Institutional Large-Scale Data.


Journal

Journal of Korean medical science
ISSN: 1598-6357
Titre abrégé: J Korean Med Sci
Pays: Korea (South)
ID NLM: 8703518

Informations de publication

Date de publication:
28 Oct 2024
Historique:
received: 17 05 2024
accepted: 15 08 2024
medline: 29 10 2024
pubmed: 29 10 2024
entrez: 29 10 2024
Statut: epublish

Résumé

The Trauma and Injury Severity Score (TRISS) method is a widely used tool for assessing patient severity and predicting survival probability in trauma care. However, its accuracy and applicability in the Korean context, particularly for neurotrauma patients, have not been thoroughly validated yet. Previous studies at a single institution have identified significant discrepancies between TRISS predictions and actual outcomes, particularly in severe neurotrauma cases. This study aimed to evaluate the accuracy of the TRISS method on a national scale using data from multiple regional trauma centers (RTCs) in Korea. We utilized data from the Korea Trauma Data Bank collected from January 1, 2017 to December 31, 2021. A total of 70,785 patients were selected based on specific inclusion and exclusion criteria. The probability of survival was calculated using the TRISS method. Patients were categorized into neurotrauma and non-neurotrauma groups. Misclassification rate (MR) was measured by comparing the predicted survival or death using the TRISS method with the actual outcomes to assess the predictive validity of the TRISS method. This study included 28,285 neurotrauma patients and 42,503 non-neurotrauma patients. The neurotrauma group had higher actual deaths (2,401) than the non-neurotrauma group (809). The neurotrauma group also had a significantly higher mortality rate per 100,000 population (8,489.50 vs. 1,903.40). MR was significantly higher in neurotrauma patients (8.07%) than in non-neurotrauma patients (1.92%). Patients with severe head injuries (Glasgow Coma Scale ≤ 8) had the highest MR (32.27%). Our study confirms that the TRISS method's misclassification issues observed at a single institution are prevalent across multiple RTCs in Korea. The accuracy of the TRISS method decreases with increasing injury severity, particularly in neurotrauma patients. These findings highlight the need to revise evaluation criteria and develop more accurate prediction models tailored to the Korean trauma care system. Implementing these changes will enhance the reliability of trauma care assessments and ensure more equitable support for RTCs, ultimately improving the quality and equity of trauma care in Korea.

Sections du résumé

BACKGROUND BACKGROUND
The Trauma and Injury Severity Score (TRISS) method is a widely used tool for assessing patient severity and predicting survival probability in trauma care. However, its accuracy and applicability in the Korean context, particularly for neurotrauma patients, have not been thoroughly validated yet. Previous studies at a single institution have identified significant discrepancies between TRISS predictions and actual outcomes, particularly in severe neurotrauma cases. This study aimed to evaluate the accuracy of the TRISS method on a national scale using data from multiple regional trauma centers (RTCs) in Korea.
METHODS METHODS
We utilized data from the Korea Trauma Data Bank collected from January 1, 2017 to December 31, 2021. A total of 70,785 patients were selected based on specific inclusion and exclusion criteria. The probability of survival was calculated using the TRISS method. Patients were categorized into neurotrauma and non-neurotrauma groups. Misclassification rate (MR) was measured by comparing the predicted survival or death using the TRISS method with the actual outcomes to assess the predictive validity of the TRISS method.
RESULTS RESULTS
This study included 28,285 neurotrauma patients and 42,503 non-neurotrauma patients. The neurotrauma group had higher actual deaths (2,401) than the non-neurotrauma group (809). The neurotrauma group also had a significantly higher mortality rate per 100,000 population (8,489.50 vs. 1,903.40). MR was significantly higher in neurotrauma patients (8.07%) than in non-neurotrauma patients (1.92%). Patients with severe head injuries (Glasgow Coma Scale ≤ 8) had the highest MR (32.27%).
CONCLUSION CONCLUSIONS
Our study confirms that the TRISS method's misclassification issues observed at a single institution are prevalent across multiple RTCs in Korea. The accuracy of the TRISS method decreases with increasing injury severity, particularly in neurotrauma patients. These findings highlight the need to revise evaluation criteria and develop more accurate prediction models tailored to the Korean trauma care system. Implementing these changes will enhance the reliability of trauma care assessments and ensure more equitable support for RTCs, ultimately improving the quality and equity of trauma care in Korea.

Identifiants

pubmed: 39468948
pii: 39.e288
doi: 10.3346/jkms.2024.39.e288
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e288

Informations de copyright

© 2024 The Korean Academy of Medical Sciences.

Déclaration de conflit d'intérêts

The authors have no potential conflicts of interest to disclose.

Auteurs

Mahnjeong Ha (M)

Department of Neurosurgery and Medical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Korea.

Seunghan Yu (S)

Department of Neurosurgery and Medical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Korea.

Byung Chul Kim (BC)

Department of Neurosurgery and Medical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Korea.

Hyuk Jin Choi (HJ)

Department of Neurosurgery and Medical Research Institute, Pusan National University Hospital, Pusan National University School of Medicine, Busan, Korea. csfdiver@naver.com.

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