scholarly journals Development of a modified trauma and injury severity score to predict disability in acute trauma patients

2020 ◽  
Vol 7 (4) ◽  
pp. 281-289
Author(s):  
Ki Jeong Hong ◽  
Kyoung Jun Song ◽  
Sang Do Shin ◽  
Young Sun Ro ◽  
Jeong Ho Park ◽  
...  
Keyword(s):  
Injury Severity Score ◽  
Severity Score ◽  
Injury Severity ◽  
Trauma Patients ◽  
Acute Trauma ◽  
Trauma And Injury

scholarly journals Validation of Age-specific Survival Prediction in Pediatric Patients With Blunt Trauma Using Trauma and Injury Severity Score Methodology: A Ten-year Nationwide Observational Study

2020 ◽  
Author(s):  
Chiaki Toida ◽  
Takashi Muguruma ◽  
Masayasu Gakumazawa ◽  
Mafumi Shinohara ◽  
Takeru Abe ◽  
...  
Keyword(s):  
Injury Severity Score ◽  
Blunt Trauma ◽  
Severity Score ◽  
Pediatric Patients ◽  
Injury Severity ◽  
Pediatric Trauma ◽  
Survival Prediction ◽  
Trauma Patients ◽  
Interval Group ◽  
Trauma And Injury

Abstract Background: In-hospital mortality in trauma patients decreased recently owing to improved trauma injury prevention systems. However, no study which evaluated the validity of Trauma and Injury Severity Score (TRISS) in pediatrics by detailed classification of patients’ age and injury severity in Japan. This retrospective nationwide study evaluated the validity of TRISS in predicting survival in Japanese pediatric patients with blunt trauma by age and injury severity.Methods: Data were obtained from the Japan Trauma Data Bank during 2009−2018.Results: In all age categories, the area under the curve (AUC) for TRISS demonstrated high performance (0.935, 0.981, 0.979, and 0.977). The Accuracy of TRISS was 99.9%, 98.2%, 92.1%, 76.7%, 55.3%, and 72.1% in survival probability (Ps) interval groups (0.96−1.00), (0.91−0.95), (0.76.−0.90), (0.51−0.75), (0.26−0.50), and (0.00−0.25), respectively. The AUC for TRISS demonstrated moderate performance in the Ps interval group (0.96−1.00) and low performance in other Ps interval groups.Conclusions: The TRISS methodology appears to predict survival accurately in Japanese pediatric patients with blunt trauma; however, there were several problems in adopting the TRISS methodology for younger blunt trauma patients with higher injury severity. In the future, we should consider to conducting a simple, high-quality prediction model that is more suitable for pediatric trauma patients than the current TRISS model.

scholarly journals Validation of age-specific survival prediction in pediatric patients with blunt trauma using trauma and injury severity score methodology: a ten-year Nationwide observational study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Chiaki Toida ◽  
Takashi Muguruma ◽  
Masayasu Gakumazawa ◽  
Mafumi Shinohara ◽  
Takeru Abe ◽  
...  
Keyword(s):  
Injury Severity Score ◽  
Blunt Trauma ◽  
Predictive Value ◽  
Severity Score ◽  
Pediatric Patients ◽  
Injury Severity ◽  
Age Groups ◽  
Survival Prediction ◽  
Trauma Patients ◽  
Trauma And Injury

Abstract Background In-hospital mortality in trauma patients has decreased recently owing to improved trauma injury prevention systems. However, no study has evaluated the validity of the Trauma and Injury Severity Score (TRISS) in pediatric patients by a detailed classification of patients’ age and injury severity in Japan. This retrospective nationwide study evaluated the validity of TRISS in predicting survival in Japanese pediatric patients with blunt trauma by age and injury severity. Methods Data were obtained from the Japan Trauma Data Bank during 2009–2018. The outcomes were as follows: (1) patients’ characteristics and mortality by age groups (neonates/infants aged 0 years, preschool children aged 1–5 years, schoolchildren aged 6–11 years, and adolescents aged 12–18 years), (2) validity of survival probability (Ps) assessed using the TRISS methodology by the four age groups and six Ps-interval groups (0.00–0.25, 0.26–0.50, 0.51–0.75, 0.76–0.90, 0.91–0.95, and 0.96–1.00), and (3) the observed/expected survivor ratio by age- and Ps-interval groups. The validity of TRISS was evaluated by the predictive ability of the TRISS method using the receiver operating characteristic (ROC) curves that present the sensitivity, specificity, positive predictive value, negative predictive value, accuracy, area under the receiver operator characteristic curve (AUC) of TRISS. Results In all the age categories considered, the AUC for TRISS demonstrated high performance (0.935, 0.981, 0.979, and 0.977). The AUC for TRISS was 0.865, 0.585, 0.614, 0.585, 0.591, and 0.600 in Ps-interval groups (0.96–1.00), (0.91–0.95), (0.76. − 0.90), (0.51–0.75), (0.26–0.50), and (0.00–0.25), respectively. In all the age categories considered, the observed survivors among patients with Ps interval (0.00–0.25) were 1.5 times or more than the expected survivors calculated using the TRISS method. Conclusions The TRISS methodology appears to predict survival accurately in Japanese pediatric patients with blunt trauma; however, there were several problems in adopting the TRISS methodology for younger blunt trauma patients with higher injury severity. In the next step, it may be necessary to develop a simple, high-quality prediction model that is more suitable for pediatric trauma patients than the current TRISS model.

scholarly journals Assessment of trauma and injury severity score model for survival of trauma patients: a single centre experience

2018 ◽  
Vol 5 (7) ◽  
pp. 2550
Author(s):  
Umesh Gaikwad Gaikwad ◽  
Nitin Wasnik ◽  
Divish Saxena ◽  
Murtaza Akhtar
Keyword(s):  
Injury Severity Score ◽  
Severity Score ◽  
Injury Severity ◽  
Trauma Patients ◽  
Probability Of Survival ◽  
Predicted Probability ◽  
Revised Trauma Score ◽  
Score Model ◽  
Set Up ◽  
Trauma And Injury

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.

scholarly journals Trauma and Injury Severity Score modification for predicting survival of trauma in one regional emergency medical center in Korea: Construction of Trauma and Injury Severity Score coefficient model

2018 ◽  
Vol 26 (4) ◽  
pp. 225-232 ◽  
Author(s):  
In Hye Kang ◽  
Kang Hyun Lee ◽  
Hyun Youk ◽  
Jeong Il Lee ◽  
Hee Young Lee ◽  
...  
Keyword(s):  
United States ◽  
Survival Rate ◽  
Injury Severity Score ◽  
Severity Score ◽  
Injury Severity ◽  
Medical Center ◽  
The United States ◽  
Trauma Patients ◽  
Analysis Model ◽  
Trauma And Injury

Background: The problem that is central to trauma research is the prediction of survival rate after trauma. Trauma and Injury Severity Score is being used for predicting survival rate after trauma. Many countries have conducted a study on the classification, characteristics of variables, and the validity of the Trauma and Injury Severity Score model. However, few investigations have been made on the characteristics of coefficients or variables related to Trauma and Injury Severity Score in Korea. Objectives: There is a need for coefficient analysis of Trauma and Injury Severity Score which was created based on the United States database to be optimized for the situation in Korea. Methods: This study examined how the currently used Trauma and Injury Severity Score coefficients were developed and created for trauma patients visiting the emergency department in a hospital in Korea using the analytical method. A total of 34,340 trauma patients who were hospitalized into an emergency center from January 2012 to December 2014 for 3 years were analyzed with trauma registry established on August 2006. Results: Trauma and Injury Severity Score coefficients were transformed with the methods that were used to make the existing Trauma and Injury Severity Score coefficients using the trauma patients’ data. Regression coefficients (B) were drawn by building up a logistic regression analysis model that used variables such as Injury Severity Score, Revised Trauma Score, and age depending on survival with Trauma and Injury Severity Score. Conclusion: With regard to Trauma and Injury Severity Score established in the United States differing from Korea in injury types, it seems possible to realize significant survival rate by deriving coefficients with data in Korea and reanalyzing them.

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