Rishwanth Vetri, Dhanabalan Piramanayagam, Preethy Ravi
{"title":"一项前瞻性队列研究评估了 TRISS 和 TRISS-SpO2 评分系统,用于评估印度创伤研究参与者的死亡风险。","authors":"Rishwanth Vetri, Dhanabalan Piramanayagam, Preethy Ravi","doi":"10.4103/ijciis.ijciis_38_23","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Globally, trauma cases have significant morbidity and mortality. Hence, various scoring systems have been designed to improve the prognosis in trauma cases. Trauma and Injury Severity Score (TRISS) is one of the widely used models to predict mortality; however, it has certain limitation. We have aimed to evaluate the survival prediction of new model TRISS-oxygen saturation (SpO<sub>2</sub>) and to compare with original TRISS score in trauma study participants.</p><p><strong>Methods: </strong>This was a prospective cohort study conducted on 380 trauma study participants admitted to the surgery department from January 20, 2021, to November 28, 2021. The proposed model includes TRISS-SpO<sub>2</sub> which replaces pulse SpO<sub>2</sub> instead of revised trauma score in the original TRISS score. Probability of survival (Ps) was calculated for both models using coefficients derived from Walker-Duncan regression analysis analyzed from the Major Trauma Outcome Study. Receiver operating characteristic curve analysis was used to predict model performance and the accuracy was calculated.</p><p><strong>Results: </strong>The mortality rate in the present study was 30 (7.9%). The predictive accuracy of original TRISS score which calculated Ps based on respiratory rate was 97.11%, and for the proposed model of TRISS score which calculated Ps based on SpO<sub>2</sub> was found 97.11%, and thus there is no significant difference in the performance.</p><p><strong>Conclusions: </strong>The new proposed model TRISS-SpO<sub>2</sub> showed a good accuracy which is similar to original TRISS score. However, the new tool TRISS-SpO<sub>2</sub> might be easier to use for robust performance in the clinical setting.</p>","PeriodicalId":13938,"journal":{"name":"International Journal of Critical Illness and Injury Science","volume":"14 1","pages":"21-25"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11073638/pdf/","citationCount":"0","resultStr":"{\"title\":\"A prospective cohort study evaluating the TRISS and TRISS-SpO<sub>2</sub> scoring systems for assessing mortality risk in trauma study participants in India.\",\"authors\":\"Rishwanth Vetri, Dhanabalan Piramanayagam, Preethy Ravi\",\"doi\":\"10.4103/ijciis.ijciis_38_23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Globally, trauma cases have significant morbidity and mortality. Hence, various scoring systems have been designed to improve the prognosis in trauma cases. Trauma and Injury Severity Score (TRISS) is one of the widely used models to predict mortality; however, it has certain limitation. We have aimed to evaluate the survival prediction of new model TRISS-oxygen saturation (SpO<sub>2</sub>) and to compare with original TRISS score in trauma study participants.</p><p><strong>Methods: </strong>This was a prospective cohort study conducted on 380 trauma study participants admitted to the surgery department from January 20, 2021, to November 28, 2021. The proposed model includes TRISS-SpO<sub>2</sub> which replaces pulse SpO<sub>2</sub> instead of revised trauma score in the original TRISS score. Probability of survival (Ps) was calculated for both models using coefficients derived from Walker-Duncan regression analysis analyzed from the Major Trauma Outcome Study. Receiver operating characteristic curve analysis was used to predict model performance and the accuracy was calculated.</p><p><strong>Results: </strong>The mortality rate in the present study was 30 (7.9%). The predictive accuracy of original TRISS score which calculated Ps based on respiratory rate was 97.11%, and for the proposed model of TRISS score which calculated Ps based on SpO<sub>2</sub> was found 97.11%, and thus there is no significant difference in the performance.</p><p><strong>Conclusions: </strong>The new proposed model TRISS-SpO<sub>2</sub> showed a good accuracy which is similar to original TRISS score. However, the new tool TRISS-SpO<sub>2</sub> might be easier to use for robust performance in the clinical setting.</p>\",\"PeriodicalId\":13938,\"journal\":{\"name\":\"International Journal of Critical Illness and Injury Science\",\"volume\":\"14 1\",\"pages\":\"21-25\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11073638/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Critical Illness and Injury Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/ijciis.ijciis_38_23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/27 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Critical Illness and Injury Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ijciis.ijciis_38_23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/27 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
A prospective cohort study evaluating the TRISS and TRISS-SpO2 scoring systems for assessing mortality risk in trauma study participants in India.
Background: Globally, trauma cases have significant morbidity and mortality. Hence, various scoring systems have been designed to improve the prognosis in trauma cases. Trauma and Injury Severity Score (TRISS) is one of the widely used models to predict mortality; however, it has certain limitation. We have aimed to evaluate the survival prediction of new model TRISS-oxygen saturation (SpO2) and to compare with original TRISS score in trauma study participants.
Methods: This was a prospective cohort study conducted on 380 trauma study participants admitted to the surgery department from January 20, 2021, to November 28, 2021. The proposed model includes TRISS-SpO2 which replaces pulse SpO2 instead of revised trauma score in the original TRISS score. Probability of survival (Ps) was calculated for both models using coefficients derived from Walker-Duncan regression analysis analyzed from the Major Trauma Outcome Study. Receiver operating characteristic curve analysis was used to predict model performance and the accuracy was calculated.
Results: The mortality rate in the present study was 30 (7.9%). The predictive accuracy of original TRISS score which calculated Ps based on respiratory rate was 97.11%, and for the proposed model of TRISS score which calculated Ps based on SpO2 was found 97.11%, and thus there is no significant difference in the performance.
Conclusions: The new proposed model TRISS-SpO2 showed a good accuracy which is similar to original TRISS score. However, the new tool TRISS-SpO2 might be easier to use for robust performance in the clinical setting.
期刊介绍:
IJCIIS encourages research, education and dissemination of knowledge in the field of Critical Illness and Injury Science across the world thus promoting translational research by striking a synergy between basic science, clinical medicine and public health. The Journal intends to bring together scientists and academicians in the emergency intensive care and promote translational synergy between Laboratory Science, Clinical Medicine and Public Health. The Journal invites Original Articles, Clinical Investigations, Epidemiological Analysis, Data Protocols, Case Reports, Clinical Photographs, review articles and special commentaries. Students, Residents, Academicians, Public Health experts and scientists are all encouraged to be a part of this initiative by contributing, reviewing and promoting scientific works and science.