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Construction and validation of a nomogram prediction model for postoperative incisional infection in ankle fractures
The aim was to investigate the independent risk factors for postoperative incisional infection in ankle fractures and to establish a nomogram prediction model accordingly. Data were collected from ankle fracture patients in the Affiliated Hospital of Xinjiang Medical University from January 2018 to...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695592/ http://dx.doi.org/10.1097/MD.0000000000036408 |
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author | Deng, Guang-Hua |
author_facet | Deng, Guang-Hua |
author_sort | Deng, Guang-Hua |
collection | PubMed |
description | The aim was to investigate the independent risk factors for postoperative incisional infection in ankle fractures and to establish a nomogram prediction model accordingly. Data were collected from ankle fracture patients in the Affiliated Hospital of Xinjiang Medical University from January 2018 to December 2022. Univariate and multivariate logistic regression analyses were used to determine the independent risk factors for postoperative incisional infection in ankle fractures and to establish the corresponding nomogram. Receiver operating characteristic curves were plotted and area under the curve was calculated, and calibration curves and decision curve analysis were plotted to evaluate the model performance. A total of 722 patients with ankle fractures were included in the study, and 76 patients developed postoperative incisional infections, with an incidence of 10.53%. After univariate and multivariate logistic regression analysis, a total of 5 variables were identified as independent risk factors for postoperative incisional infection in ankle fractures, namely, age ≥ 60 years (OR, 1.885; 95% CI, 1.156–3.045), having diabetes (OR1.625; 95% CI, 1.095–2.876), open fracture (OR, 5.564; 95% CI, 3.099–9.990), albumin < 35 g/L (OR, 2.618; 95% CI, 1.217–4.215), and operative time ≥ 2 hours (OR, 1.606; 95% CI, 1.077–3.247). The nomogram for postoperative incisional infection after ankle fracture constructed in this study has good predictive accuracy and helps orthopedic surgeons to intervene earlier in patients at high risk of postoperative incisional infection after ankle fracture. |
format | Online Article Text |
id | pubmed-10695592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-106955922023-12-05 Construction and validation of a nomogram prediction model for postoperative incisional infection in ankle fractures Deng, Guang-Hua Medicine (Baltimore) 7100 The aim was to investigate the independent risk factors for postoperative incisional infection in ankle fractures and to establish a nomogram prediction model accordingly. Data were collected from ankle fracture patients in the Affiliated Hospital of Xinjiang Medical University from January 2018 to December 2022. Univariate and multivariate logistic regression analyses were used to determine the independent risk factors for postoperative incisional infection in ankle fractures and to establish the corresponding nomogram. Receiver operating characteristic curves were plotted and area under the curve was calculated, and calibration curves and decision curve analysis were plotted to evaluate the model performance. A total of 722 patients with ankle fractures were included in the study, and 76 patients developed postoperative incisional infections, with an incidence of 10.53%. After univariate and multivariate logistic regression analysis, a total of 5 variables were identified as independent risk factors for postoperative incisional infection in ankle fractures, namely, age ≥ 60 years (OR, 1.885; 95% CI, 1.156–3.045), having diabetes (OR1.625; 95% CI, 1.095–2.876), open fracture (OR, 5.564; 95% CI, 3.099–9.990), albumin < 35 g/L (OR, 2.618; 95% CI, 1.217–4.215), and operative time ≥ 2 hours (OR, 1.606; 95% CI, 1.077–3.247). The nomogram for postoperative incisional infection after ankle fracture constructed in this study has good predictive accuracy and helps orthopedic surgeons to intervene earlier in patients at high risk of postoperative incisional infection after ankle fracture. Lippincott Williams & Wilkins 2023-12-01 /pmc/articles/PMC10695592/ http://dx.doi.org/10.1097/MD.0000000000036408 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | 7100 Deng, Guang-Hua Construction and validation of a nomogram prediction model for postoperative incisional infection in ankle fractures |
title | Construction and validation of a nomogram prediction model for postoperative incisional infection in ankle fractures |
title_full | Construction and validation of a nomogram prediction model for postoperative incisional infection in ankle fractures |
title_fullStr | Construction and validation of a nomogram prediction model for postoperative incisional infection in ankle fractures |
title_full_unstemmed | Construction and validation of a nomogram prediction model for postoperative incisional infection in ankle fractures |
title_short | Construction and validation of a nomogram prediction model for postoperative incisional infection in ankle fractures |
title_sort | construction and validation of a nomogram prediction model for postoperative incisional infection in ankle fractures |
topic | 7100 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695592/ http://dx.doi.org/10.1097/MD.0000000000036408 |
work_keys_str_mv | AT dengguanghua constructionandvalidationofanomogrampredictionmodelforpostoperativeincisionalinfectioninanklefractures |