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The application of the WSES classification system for open pelvic fractures—validation and supplement from a nationwide data bank
BACKGROUND: Open pelvic fractures are rare but complex injuries. Concomitant external and internal hemorrhage and wound infection-related sepsis result in a high mortality rate and treatment challenges. Here, we validated the World Society Emergency Society (WSES) classification system for pelvic in...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145531/ https://www.ncbi.nlm.nih.gov/pubmed/35624457 http://dx.doi.org/10.1186/s13017-022-00434-y |
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author | Li, Pei-Hua Hsu, Ting-An Kuo, Yu-Chi Fu, Chih-Yuan Bajani, Francesco Bokhari, Marissa Mis, Justin Poulakidas, Stathis Bokhari, Faran |
author_facet | Li, Pei-Hua Hsu, Ting-An Kuo, Yu-Chi Fu, Chih-Yuan Bajani, Francesco Bokhari, Marissa Mis, Justin Poulakidas, Stathis Bokhari, Faran |
author_sort | Li, Pei-Hua |
collection | PubMed |
description | BACKGROUND: Open pelvic fractures are rare but complex injuries. Concomitant external and internal hemorrhage and wound infection-related sepsis result in a high mortality rate and treatment challenges. Here, we validated the World Society Emergency Society (WSES) classification system for pelvic injuries in open pelvic fractures, which are quite different from closed fractures, using the National Trauma Data Bank (NTDB). METHODS: Open pelvic fracture patients in the NTDB 2015 dataset were retrospectively queried. The mortality rates associated with WSES minor, moderate and severe injuries were compared. A multivariate logistic regression model (MLR) was used to evaluate independent factors of mortality. Patients with and without sepsis were compared. The performance of the WSES classification in the prediction of mortality was evaluated by determining the discrimination and calibration. RESULTS: A total of 830 open pelvic fracture patients were studied. The mortality rates of the mild, moderate and severe WSES classes were 3.5%, 11.2% and 23.8%, respectively (p < 0.001). The MLR analysis showed that the presence of sepsis was an independent factor of mortality (odds of mortality 9.740, p < 0.001). Compared with patients without sepsis, those with sepsis had significantly higher mortality rates in all WSES classes (minor: 40.0% vs. 3.1%, p < 0.001; moderate: 50.0% vs. 9.1%, p < 0.001; severe: 66.7% vs. 22.2%, p < 0.001). The receiver operating characteristic (ROC) curve showed an acceptable discrimination of the WSES classification alone for evaluating the mortality of open pelvic fracture patients [area under curve (AUC) = 0.717]. Improved discrimination with an increased AUC was observed using the WSES classification plus sepsis (AUC = 0.767). CONCLUSIONS: The WSES guidelines can be applied to evaluate patients with open pelvic fracture with accurate evaluation of outcomes. The presence of sepsis is recommended as a supplement to the WSES classification for open pelvic fractures. |
format | Online Article Text |
id | pubmed-9145531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91455312022-05-29 The application of the WSES classification system for open pelvic fractures—validation and supplement from a nationwide data bank Li, Pei-Hua Hsu, Ting-An Kuo, Yu-Chi Fu, Chih-Yuan Bajani, Francesco Bokhari, Marissa Mis, Justin Poulakidas, Stathis Bokhari, Faran World J Emerg Surg Research BACKGROUND: Open pelvic fractures are rare but complex injuries. Concomitant external and internal hemorrhage and wound infection-related sepsis result in a high mortality rate and treatment challenges. Here, we validated the World Society Emergency Society (WSES) classification system for pelvic injuries in open pelvic fractures, which are quite different from closed fractures, using the National Trauma Data Bank (NTDB). METHODS: Open pelvic fracture patients in the NTDB 2015 dataset were retrospectively queried. The mortality rates associated with WSES minor, moderate and severe injuries were compared. A multivariate logistic regression model (MLR) was used to evaluate independent factors of mortality. Patients with and without sepsis were compared. The performance of the WSES classification in the prediction of mortality was evaluated by determining the discrimination and calibration. RESULTS: A total of 830 open pelvic fracture patients were studied. The mortality rates of the mild, moderate and severe WSES classes were 3.5%, 11.2% and 23.8%, respectively (p < 0.001). The MLR analysis showed that the presence of sepsis was an independent factor of mortality (odds of mortality 9.740, p < 0.001). Compared with patients without sepsis, those with sepsis had significantly higher mortality rates in all WSES classes (minor: 40.0% vs. 3.1%, p < 0.001; moderate: 50.0% vs. 9.1%, p < 0.001; severe: 66.7% vs. 22.2%, p < 0.001). The receiver operating characteristic (ROC) curve showed an acceptable discrimination of the WSES classification alone for evaluating the mortality of open pelvic fracture patients [area under curve (AUC) = 0.717]. Improved discrimination with an increased AUC was observed using the WSES classification plus sepsis (AUC = 0.767). CONCLUSIONS: The WSES guidelines can be applied to evaluate patients with open pelvic fracture with accurate evaluation of outcomes. The presence of sepsis is recommended as a supplement to the WSES classification for open pelvic fractures. BioMed Central 2022-05-27 /pmc/articles/PMC9145531/ /pubmed/35624457 http://dx.doi.org/10.1186/s13017-022-00434-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Pei-Hua Hsu, Ting-An Kuo, Yu-Chi Fu, Chih-Yuan Bajani, Francesco Bokhari, Marissa Mis, Justin Poulakidas, Stathis Bokhari, Faran The application of the WSES classification system for open pelvic fractures—validation and supplement from a nationwide data bank |
title | The application of the WSES classification system for open pelvic fractures—validation and supplement from a nationwide data bank |
title_full | The application of the WSES classification system for open pelvic fractures—validation and supplement from a nationwide data bank |
title_fullStr | The application of the WSES classification system for open pelvic fractures—validation and supplement from a nationwide data bank |
title_full_unstemmed | The application of the WSES classification system for open pelvic fractures—validation and supplement from a nationwide data bank |
title_short | The application of the WSES classification system for open pelvic fractures—validation and supplement from a nationwide data bank |
title_sort | application of the wses classification system for open pelvic fractures—validation and supplement from a nationwide data bank |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145531/ https://www.ncbi.nlm.nih.gov/pubmed/35624457 http://dx.doi.org/10.1186/s13017-022-00434-y |
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