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Performance of new adjustments to the TRISS equation model in developed and developing countries
BACKGROUND: The 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 T...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370451/ https://www.ncbi.nlm.nih.gov/pubmed/28360930 http://dx.doi.org/10.1186/s13017-017-0129-2 |
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author | Domingues, Cristiane de Alencar Coimbra, Raul Poggetti, Renato Sérgio Nogueira, Lilia de Souza Sousa, Regina Marcia Cardoso |
author_facet | Domingues, Cristiane de Alencar Coimbra, Raul Poggetti, Renato Sérgio Nogueira, Lilia de Souza Sousa, Regina Marcia Cardoso |
author_sort | Domingues, Cristiane de Alencar |
collection | PubMed |
description | BACKGROUND: The 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 SpO(2); NTRISS-like SpO(2)) in a high-income and a middle-income country to compare their performance when derived and applied to different groups. METHODS: This was a retrospective study of trauma patients admitted to two institutions: a university medical center in São Paulo, Brazil (a middle-income country), and a level 1 university trauma center in San Diego, USA (a high-income country). Patients were admitted between January 1, 2006, and December 31, 2010. The subjects were 2416 patients from Brazil and 8172 patients from the USA. All equations had adjusted coefficients for São Paulo and San Diego and for blunt and penetrating trauma. Receiver operating characteristic (ROC) curves were used to evaluate performance of the models. RESULTS: Regardless of the population where the equation was generated, it performed better when applied to patients in the USA (AUC from 0.911 to 0.982) compared to patients in Brazil (AUC from 0.840 to 0.852). When the severity was considered and homogenized, the performance of equations were similar to both application in the USA and Brazil. CONCLUSIONS: Survival probability models showed better performance when applied in data collected in the high-income countries (HIC) regardless the country they were derived. The severity is an important factor to consider when using non-adjusted survival probability models for the local population. Adjusted models for severely traumatized patients better predict survival probability in less severely traumatized populations. Other factors besides physiological and anatomical data may impact final outcomes and should be identified in each environment if they are to be used in the development of the trauma care performance improvement process in middle-income countries. |
format | Online Article Text |
id | pubmed-5370451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53704512017-03-30 Performance of new adjustments to the TRISS equation model in developed and developing countries Domingues, Cristiane de Alencar Coimbra, Raul Poggetti, Renato Sérgio Nogueira, Lilia de Souza Sousa, Regina Marcia Cardoso World J Emerg Surg Research Article BACKGROUND: The 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 SpO(2); NTRISS-like SpO(2)) in a high-income and a middle-income country to compare their performance when derived and applied to different groups. METHODS: This was a retrospective study of trauma patients admitted to two institutions: a university medical center in São Paulo, Brazil (a middle-income country), and a level 1 university trauma center in San Diego, USA (a high-income country). Patients were admitted between January 1, 2006, and December 31, 2010. The subjects were 2416 patients from Brazil and 8172 patients from the USA. All equations had adjusted coefficients for São Paulo and San Diego and for blunt and penetrating trauma. Receiver operating characteristic (ROC) curves were used to evaluate performance of the models. RESULTS: Regardless of the population where the equation was generated, it performed better when applied to patients in the USA (AUC from 0.911 to 0.982) compared to patients in Brazil (AUC from 0.840 to 0.852). When the severity was considered and homogenized, the performance of equations were similar to both application in the USA and Brazil. CONCLUSIONS: Survival probability models showed better performance when applied in data collected in the high-income countries (HIC) regardless the country they were derived. The severity is an important factor to consider when using non-adjusted survival probability models for the local population. Adjusted models for severely traumatized patients better predict survival probability in less severely traumatized populations. Other factors besides physiological and anatomical data may impact final outcomes and should be identified in each environment if they are to be used in the development of the trauma care performance improvement process in middle-income countries. BioMed Central 2017-03-28 /pmc/articles/PMC5370451/ /pubmed/28360930 http://dx.doi.org/10.1186/s13017-017-0129-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Domingues, Cristiane de Alencar Coimbra, Raul Poggetti, Renato Sérgio Nogueira, Lilia de Souza Sousa, Regina Marcia Cardoso Performance of new adjustments to the TRISS equation model in developed and developing countries |
title | Performance of new adjustments to the TRISS equation model in developed and developing countries |
title_full | Performance of new adjustments to the TRISS equation model in developed and developing countries |
title_fullStr | Performance of new adjustments to the TRISS equation model in developed and developing countries |
title_full_unstemmed | Performance of new adjustments to the TRISS equation model in developed and developing countries |
title_short | Performance of new adjustments to the TRISS equation model in developed and developing countries |
title_sort | performance of new adjustments to the triss equation model in developed and developing countries |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370451/ https://www.ncbi.nlm.nih.gov/pubmed/28360930 http://dx.doi.org/10.1186/s13017-017-0129-2 |
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