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Comparative accuracy assessment of the Gustilo and Tscherne classification systems as predictors of infection in open fractures()
OBJECTIVE: The aim of this study is to analyze the accuracy of the two classification systems for open fractures most commonly used in current medical practice, Gustilo and Tscherne, as predictors of infection. METHODS: A retrospective observational study was performed, including 121 patients suffer...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993882/ https://www.ncbi.nlm.nih.gov/pubmed/29892582 http://dx.doi.org/10.1016/j.rboe.2018.03.005 |
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author | Oliveira, Rafael Valadares Cruz, Luciano Passos Matos, Marcos Almeida |
author_facet | Oliveira, Rafael Valadares Cruz, Luciano Passos Matos, Marcos Almeida |
author_sort | Oliveira, Rafael Valadares |
collection | PubMed |
description | OBJECTIVE: The aim of this study is to analyze the accuracy of the two classification systems for open fractures most commonly used in current medical practice, Gustilo and Tscherne, as predictors of infection. METHODS: A retrospective observational study was performed, including 121 patients suffering from open fracture of the appendicular skeleton treated at an emergency hospital. The fractures were classified according to Gustilo and Tscherne systems during the initial treatment, and ratings were subsequently confirmed or rectified during hospitalization. Sensitivity, specificity, positive and negative predictive values, and accuracy were calculated according to each classification adopted. RESULTS: The results of this study demonstrated that both classifications of Gustilo and Tscherne are associated with the clinical outcome of infection in open fractures. The Gustilo classification achieved sensitivity of 76.7%, specificity of 53.8%, and accuracy of 59.5%. Tscherne's classification had a sensitivity of 56.7%, specificity 82.4%, and accuracy of 76.1%. CONCLUSION: The Tscherne system showed better accuracy, including specificity as a predictor of infection in open fractures, when compared with the Gustilo system. |
format | Online Article Text |
id | pubmed-5993882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-59938822018-06-11 Comparative accuracy assessment of the Gustilo and Tscherne classification systems as predictors of infection in open fractures() Oliveira, Rafael Valadares Cruz, Luciano Passos Matos, Marcos Almeida Rev Bras Ortop Original Article OBJECTIVE: The aim of this study is to analyze the accuracy of the two classification systems for open fractures most commonly used in current medical practice, Gustilo and Tscherne, as predictors of infection. METHODS: A retrospective observational study was performed, including 121 patients suffering from open fracture of the appendicular skeleton treated at an emergency hospital. The fractures were classified according to Gustilo and Tscherne systems during the initial treatment, and ratings were subsequently confirmed or rectified during hospitalization. Sensitivity, specificity, positive and negative predictive values, and accuracy were calculated according to each classification adopted. RESULTS: The results of this study demonstrated that both classifications of Gustilo and Tscherne are associated with the clinical outcome of infection in open fractures. The Gustilo classification achieved sensitivity of 76.7%, specificity of 53.8%, and accuracy of 59.5%. Tscherne's classification had a sensitivity of 56.7%, specificity 82.4%, and accuracy of 76.1%. CONCLUSION: The Tscherne system showed better accuracy, including specificity as a predictor of infection in open fractures, when compared with the Gustilo system. Elsevier 2018-04-04 /pmc/articles/PMC5993882/ /pubmed/29892582 http://dx.doi.org/10.1016/j.rboe.2018.03.005 Text en © 2017 Sociedade Brasileira de Ortopedia e Traumatologia. Published by Elsevier Editora Ltda. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Oliveira, Rafael Valadares Cruz, Luciano Passos Matos, Marcos Almeida Comparative accuracy assessment of the Gustilo and Tscherne classification systems as predictors of infection in open fractures() |
title | Comparative accuracy assessment of the Gustilo and Tscherne classification systems as predictors of infection in open fractures() |
title_full | Comparative accuracy assessment of the Gustilo and Tscherne classification systems as predictors of infection in open fractures() |
title_fullStr | Comparative accuracy assessment of the Gustilo and Tscherne classification systems as predictors of infection in open fractures() |
title_full_unstemmed | Comparative accuracy assessment of the Gustilo and Tscherne classification systems as predictors of infection in open fractures() |
title_short | Comparative accuracy assessment of the Gustilo and Tscherne classification systems as predictors of infection in open fractures() |
title_sort | comparative accuracy assessment of the gustilo and tscherne classification systems as predictors of infection in open fractures() |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5993882/ https://www.ncbi.nlm.nih.gov/pubmed/29892582 http://dx.doi.org/10.1016/j.rboe.2018.03.005 |
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