2017
DOI: 10.1186/s13017-017-0129-2
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Performance of new adjustments to the TRISS equation model in developed and developing countries

Abstract: BackgroundThe Trauma and Injury Severity Score (TRISS) has been criticized for being based on data from the USA and Canada—high-income countries—and therefore, it may not be applicable to low-income and middle-income countries. The present study evaluated the accuracy of three adjustments to the TRISS equation model (NTRISS-like; TRISS SpO2; NTRISS-like SpO2) in a high-income and a middle-income country to compare their performance when derived and applied to different groups.MethodsThis was a retrospective st… Show more

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Cited by 5 publications
(4 citation statements)
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References 29 publications
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“…We externally validated GCS, AIS/Head, TRISS, NTRISS, CRASH CT and two IMPACT prognostic models for the prediction of 14-day mortality, 6-month mortality, and 6-month unfavorable outcome in a cohort of patients in Brazil. We found good discrimination in almost all models, consistent with other validation studies [26,35]. Using Cox calibration, we identified the overestimation of 14day mortality when using TRISS, NTRISS, and CRASH CT and also the overestimation of 6-month unfavorable outcomes when using NTRISS and CRASH CT. IMPACT Lab and extended models led to statistically perfect calibration for both 6-month mortality and 6-month unfavorable outcomes.…”
Section: Discussionsupporting
confidence: 87%
“…We externally validated GCS, AIS/Head, TRISS, NTRISS, CRASH CT and two IMPACT prognostic models for the prediction of 14-day mortality, 6-month mortality, and 6-month unfavorable outcome in a cohort of patients in Brazil. We found good discrimination in almost all models, consistent with other validation studies [26,35]. Using Cox calibration, we identified the overestimation of 14day mortality when using TRISS, NTRISS, and CRASH CT and also the overestimation of 6-month unfavorable outcomes when using NTRISS and CRASH CT. IMPACT Lab and extended models led to statistically perfect calibration for both 6-month mortality and 6-month unfavorable outcomes.…”
Section: Discussionsupporting
confidence: 87%
“…TRISS methodology consistently performed better when applied to high-income settings as opposed to LMICs. 93 Three studies in Uganda, Thailand, and Indonesia indicated low M-statistics (0.791-0.843), suggesting that TRISS may not be appropriate for their settings. 7 27 95 On the other hand, studies in Pakistan, Iran, India, Nigeria, and Kenya reported reasonably comparable M-statistics (ranging from 0.889 to 0.97) and, in the Kenya case, consistent and high performance across facilities.…”
Section: Open Accessmentioning
confidence: 99%
“…These systems have been used to assist in evaluating the care provided and planning emergency care, in addition to enabling documentation of the severity in the description of the epidemiological characteristics of the trauma victims. 4,5 In daily practice, trauma nurses continuously plan and make decisions about nursing interventions 6 that are influenced by severity of trauma patients. Therefore, the reliability of severity indices is within the scope of interest of the trauma nurses.…”
mentioning
confidence: 99%
“…In this context, trauma indices have been developed over the years to determine the severity of patients, which assess the severity level of anatomical injuries and/or the physiological conditions of them by using uniform language, making it possible to estimate the survival probability of the trauma patients. These systems have been used to assist in evaluating the care provided and planning emergency care, in addition to enabling documentation of the severity in the description of the epidemiological characteristics of the trauma victims 4,5. In daily practice, trauma nurses continuously plan and make decisions about nursing interventions6 that are influenced by severity of trauma patients.…”
mentioning
confidence: 99%