Assessment of outcome among trauma cases by using trauma and injury severity score model in level I trauma care centre in Mumbai

2019 ◽  
Vol 12 (1) ◽  
pp. 22-26
Author(s):  
Abhinandan S Jadhav ◽  
◽  
Vikas P Kadam ◽  
Author(s):  
Anant Singh ◽  
Raj K. Chejara ◽  
Ashok K. Sharma ◽  
Aditya Tolat

Background: Trauma is one of the major cause of mortality and morbidity in both developed and developing countries. Polytrauma patients present particular challenges as profile of the patient varies with different types and severity of injuries. Prediction of survival in trauma patients is an essential requirement of trauma care. Trauma and injury severity score (TRISS) have been considered as a standard of the quality of trauma care. Study was carried out to evaluate the performance of TRISS in predicting survival in patients of polytrauma.Methods: Prospective observational study was conducted in emergency department of a tertiary care centre. 100 patients were evaluated in the study for a period of 18 months between November 2019 and April 2021. Patient demographics, details of trauma, pattern of injuries and physiological status were recorded. Overall outcome were studied and data analysis was done on the basis of TRISS. Statistical analysis was performed using statistical package for the social sciences (SPSS) program for windows, version 25.0 (SPSS Chicago, Illinois).Results: Young patients with mean age of 34.54 were most commonly affected in polytrauma with male preponderance. Road traffic accidents were the most common mode of trauma followed by fall from height. Blunt trauma was the most common type of injury. TRISS strongly predicted survival in polytrauma patients (AUC 0.926 CI 95% 0.868-0.985). TRISS has high sensitivity 97.62% and specificity 62.50% at a cut off of 64.50%.Conclusions: TRISS is an effective method for predicting survival of polytrauma patients and thus can be utilized to evaluate and compare trauma care.


2018 ◽  
Vol 5 (7) ◽  
pp. 2550
Author(s):  
Umesh Gaikwad Gaikwad ◽  
Nitin Wasnik ◽  
Divish Saxena ◽  
Murtaza Akhtar

Background: Trauma and Injury Severity Score (TRISS) designed by Major Trauma Outcome Study (MTOS) in United States, is commonly used for outcome prediction in polytrauma patients. It determines the probability of survival (PS) of a patient from the Injury Severity Score (ISS) and Revised Trauma Score (RTS) using TRISS methodology.Methods: A total number of 136 patients presenting within 24 hours of trauma that were admitted were included in the study. The probability of survival was calculated using TRISS index (RTS, ISS, and age combination index). The predicted probability of survival and that of death among the study subjects were calculated using TRISS. A cut off 0.5 or lesser of TRISS score was taken as death and above 0.5 as survival status.Results: The mean TRISS among males and females were 86.12±21.76 and 79.49±27.70 and based on TRISS score the expected deaths were predicted to be 11.03%. But, in actual, the deaths were 23.52% showing a negative correlation with TRISS score in our set up thereby indicating a need to improve emergency facilities for trauma patients.Conclusions: TRISS methodology when applied to our setup predicted fewer deaths as compared to the actual deaths and also did not accurately predict the survival in the trauma patients.


2015 ◽  
Vol 49 (spe) ◽  
pp. 138-146 ◽  
Author(s):  
Cristiane de Alencar Domingues ◽  
Lilia de Souza Nogueira ◽  
Cristina Helena Costanti Settervall ◽  
Regina Marcia Cardoso de Sousa

RESUMO Objetivo identificar estudos que realizaram ajustes na equação do Trauma and InjurySeverity Score (TRISS) e compararam a capacidade discriminatória da equação modificada com a original. Método Revisão integrativa de pesquisas publicadas entre 1990 e 2014 nas bases de dados LILACS, MEDLINE, PubMed e SciELO utilizando-se a palavra TRISS. Resultados foram incluídos 32 estudos na revisão. Dos 67 ajustes de equações do TRISS identificados, 35 (52,2%) resultaram em melhora na acurácia do índice para predizer a probabilidade de sobrevida de vítimas de trauma. Ajustes dos coeficientes do TRISS à população de estudo foram frequentes, mas nem sempre melhoraram a capacidade preditiva dos modelos analisados. A substituição de variáveis fisiológicas do Revised Trauma Score (RTS) e modificações do Injury Severity Score (ISS) na equação original tiveram desempenho variado. A mudança na forma de inclusão da idade na equação, assim como a inserção do gênero, comorbidades e mecanismo do trauma apresentaram tendência de melhora do desempenho do TRISS. Conclusão Diferentes propostas de ajustes no TRISS foram identificadas nesta revisão e indicaram, principalmente, fragilidades do RTS no modelo original e necessidade de alteração da forma de inclusão da idade na equação para melhora da capacidade preditiva do índice.


2016 ◽  
Vol 57 (3) ◽  
pp. 728 ◽  
Author(s):  
Kyoungwon Jung ◽  
Yo Huh ◽  
John Cook-Jong Lee ◽  
Younghwan Kim ◽  
Jonghwan Moon ◽  
...  

Injury Extra ◽  
2010 ◽  
Vol 41 (12) ◽  
pp. 165-166
Author(s):  
Mariska A.C. de Jongh ◽  
Michael H.J. Verhofstad ◽  
Luke P.H. Leenen

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