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Predictors of surgical site infection following reconstructive flap surgery: A multi-institutional analysis of 37,177 patients

PURPOSE: Rates of surgical site infection (SSI) following reconstructive flap surgeries (RFS) vary according to flap recipient site, potentially leading to flap failure. This is the largest study to determine predictors of SSI following RFS across recipient sites. METHODS: The National Surgical Qual...

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Autores principales: Hassan, Bashar, Abou Koura, Abdulghani, Makarem, Adham, Abi Mosleh, Kamal, Dimassi, Hani, Tamim, Hani, Ibrahim, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9923723/
https://www.ncbi.nlm.nih.gov/pubmed/36793316
http://dx.doi.org/10.3389/fsurg.2023.1080143
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author Hassan, Bashar
Abou Koura, Abdulghani
Makarem, Adham
Abi Mosleh, Kamal
Dimassi, Hani
Tamim, Hani
Ibrahim, Amir
author_facet Hassan, Bashar
Abou Koura, Abdulghani
Makarem, Adham
Abi Mosleh, Kamal
Dimassi, Hani
Tamim, Hani
Ibrahim, Amir
author_sort Hassan, Bashar
collection PubMed
description PURPOSE: Rates of surgical site infection (SSI) following reconstructive flap surgeries (RFS) vary according to flap recipient site, potentially leading to flap failure. This is the largest study to determine predictors of SSI following RFS across recipient sites. METHODS: The National Surgical Quality Improvement Program database was queried for patients undergoing any flap procedure from years 2005 to 2020. RFS involving grafts, skin flaps, or flaps with unknown recipient site were excluded. Patients were stratified according to recipient site: breast, trunk, head and neck (H&N), upper and lower extremities (UE&LE). The primary outcome was the incidence of SSI within 30 days following surgery. Descriptive statistics were calculated. Bivariate analysis and multivariate logistic regression were performed to determine predictors of SSI following RFS. RESULTS: 37,177 patients underwent RFS, of whom 7.5% (n = 2,776) developed SSI. A significantly greater proportion of patients who underwent LE (n = 318, 10.7%) and trunk (n = 1,091, 10.4%) reconstruction developed SSI compared to those who underwent breast (n = 1,201, 6.3%), UE (n = 32, 4.4%), and H&N (n = 100, 4.2%) reconstruction (p < .001). Longer operating times were significant predictors of SSI following RFS across all sites. The strongest predictors of SSI were presence of open wound following trunk and H&N reconstruction [adjusted odds ratio (aOR) 95% confidence interval (CI) 1.82 (1.57–2.11) and 1.75 (1.57–1.95)], disseminated cancer following LE reconstruction [aOR (CI) 3.58 (2.324–5.53)], and history of cardiovascular accident or stroke following breast reconstruction [aOR (CI) 16.97 (2.72–105.82)]. CONCLUSION: Longer operating time was a significant predictor of SSI regardless of reconstruction site. Reducing operating times through proper surgical planning might help mitigate the risk of SSI following RFS. Our findings should be used to guide patient selection, counseling, and surgical planning prior to RFS.
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spelling pubmed-99237232023-02-14 Predictors of surgical site infection following reconstructive flap surgery: A multi-institutional analysis of 37,177 patients Hassan, Bashar Abou Koura, Abdulghani Makarem, Adham Abi Mosleh, Kamal Dimassi, Hani Tamim, Hani Ibrahim, Amir Front Surg Surgery PURPOSE: Rates of surgical site infection (SSI) following reconstructive flap surgeries (RFS) vary according to flap recipient site, potentially leading to flap failure. This is the largest study to determine predictors of SSI following RFS across recipient sites. METHODS: The National Surgical Quality Improvement Program database was queried for patients undergoing any flap procedure from years 2005 to 2020. RFS involving grafts, skin flaps, or flaps with unknown recipient site were excluded. Patients were stratified according to recipient site: breast, trunk, head and neck (H&N), upper and lower extremities (UE&LE). The primary outcome was the incidence of SSI within 30 days following surgery. Descriptive statistics were calculated. Bivariate analysis and multivariate logistic regression were performed to determine predictors of SSI following RFS. RESULTS: 37,177 patients underwent RFS, of whom 7.5% (n = 2,776) developed SSI. A significantly greater proportion of patients who underwent LE (n = 318, 10.7%) and trunk (n = 1,091, 10.4%) reconstruction developed SSI compared to those who underwent breast (n = 1,201, 6.3%), UE (n = 32, 4.4%), and H&N (n = 100, 4.2%) reconstruction (p < .001). Longer operating times were significant predictors of SSI following RFS across all sites. The strongest predictors of SSI were presence of open wound following trunk and H&N reconstruction [adjusted odds ratio (aOR) 95% confidence interval (CI) 1.82 (1.57–2.11) and 1.75 (1.57–1.95)], disseminated cancer following LE reconstruction [aOR (CI) 3.58 (2.324–5.53)], and history of cardiovascular accident or stroke following breast reconstruction [aOR (CI) 16.97 (2.72–105.82)]. CONCLUSION: Longer operating time was a significant predictor of SSI regardless of reconstruction site. Reducing operating times through proper surgical planning might help mitigate the risk of SSI following RFS. Our findings should be used to guide patient selection, counseling, and surgical planning prior to RFS. Frontiers Media S.A. 2023-01-30 /pmc/articles/PMC9923723/ /pubmed/36793316 http://dx.doi.org/10.3389/fsurg.2023.1080143 Text en © 2023 Hassan, Abou Koura, Makarem, Abi Mosleh, Dimassi, Tamim and Ibrahim. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Surgery
Hassan, Bashar
Abou Koura, Abdulghani
Makarem, Adham
Abi Mosleh, Kamal
Dimassi, Hani
Tamim, Hani
Ibrahim, Amir
Predictors of surgical site infection following reconstructive flap surgery: A multi-institutional analysis of 37,177 patients
title Predictors of surgical site infection following reconstructive flap surgery: A multi-institutional analysis of 37,177 patients
title_full Predictors of surgical site infection following reconstructive flap surgery: A multi-institutional analysis of 37,177 patients
title_fullStr Predictors of surgical site infection following reconstructive flap surgery: A multi-institutional analysis of 37,177 patients
title_full_unstemmed Predictors of surgical site infection following reconstructive flap surgery: A multi-institutional analysis of 37,177 patients
title_short Predictors of surgical site infection following reconstructive flap surgery: A multi-institutional analysis of 37,177 patients
title_sort predictors of surgical site infection following reconstructive flap surgery: a multi-institutional analysis of 37,177 patients
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9923723/
https://www.ncbi.nlm.nih.gov/pubmed/36793316
http://dx.doi.org/10.3389/fsurg.2023.1080143
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