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Predisposing Factors for 30-Day Complications Following Leg Amputation

CATEGORY: Trauma; Ankle; Diabetes; Other INTRODUCTION/PURPOSE: While amputation rates and amputation-related morbidity and mortality have been established for select populations, the impact of general demographic factors on postoperative surgical complications remains little studied. This study aims...

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Autores principales: Safavi, Kiya Shazadeh, Villarreal, Joseph, Hussien, Doha, Panchbhavi, Vinod K., Jupiter, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794960/
http://dx.doi.org/10.1177/2473011421S00430
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author Safavi, Kiya Shazadeh
Villarreal, Joseph
Hussien, Doha
Panchbhavi, Vinod K.
Jupiter, Daniel
author_facet Safavi, Kiya Shazadeh
Villarreal, Joseph
Hussien, Doha
Panchbhavi, Vinod K.
Jupiter, Daniel
author_sort Safavi, Kiya Shazadeh
collection PubMed
description CATEGORY: Trauma; Ankle; Diabetes; Other INTRODUCTION/PURPOSE: While amputation rates and amputation-related morbidity and mortality have been established for select populations, the impact of general demographic factors on postoperative surgical complications remains little studied. This study aims to analyze the influence of numerous demographic variables on specific surgical complications. METHODS: We extracted data from the American College of Surgeons' National Surgical Quality Improvement Program database from 2012 to 2017 and searched for leg amputations using CPT codes 27881, 27882, 27884, and 27886, identifying 4,162 patients. The association of 29 demographic variables with 4 complications (surgical infection, additional service, deep vein thrombosis [DVT], and sepsis) was analyzed using t tests or chi-squared tests. A logistic regression allowed determination of independent risk factors for each outcome, based on results from the bivariate analyses. Variables found to have P < 0.2 on bivariate analysis were subsequently included in the multivariate analysis of the corresponding surgical complication. RESULTS: Preoperative open, 'contaminated,' or 'dirty/infected' wounds, longer intraoperative times, development of sepsis prior to surgery, and admission of patients directly from home or from another hospital's emergency room were found to influence postoperative surgical infection rates. An individual's height, weight, total length of hospital stay, ethnicity, the presence of preoperative open or infected wounds, and wounds classified as 'dirty/infected' preoperatively affected postoperative additional service incidence. Preoperative congestive heart failure and large decreases in body weight, as well as a patient's total length of hospital stay, influenced postoperative DVT rates. A patient's preoperative functional heath status, total length of hospital stay, amputations conducted as emergency cases, as well as preoperative acute renal failure, open or infected wounds, sepsis, 'contaminated' or 'dirty/infected' wounds, impacted postoperative sepsis rates. CONCLUSION: Understanding these risk factors may allow providers to anticipate and address higher rates of complications in certain patient populations.
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spelling pubmed-87949602022-01-28 Predisposing Factors for 30-Day Complications Following Leg Amputation Safavi, Kiya Shazadeh Villarreal, Joseph Hussien, Doha Panchbhavi, Vinod K. Jupiter, Daniel Foot Ankle Orthop Article CATEGORY: Trauma; Ankle; Diabetes; Other INTRODUCTION/PURPOSE: While amputation rates and amputation-related morbidity and mortality have been established for select populations, the impact of general demographic factors on postoperative surgical complications remains little studied. This study aims to analyze the influence of numerous demographic variables on specific surgical complications. METHODS: We extracted data from the American College of Surgeons' National Surgical Quality Improvement Program database from 2012 to 2017 and searched for leg amputations using CPT codes 27881, 27882, 27884, and 27886, identifying 4,162 patients. The association of 29 demographic variables with 4 complications (surgical infection, additional service, deep vein thrombosis [DVT], and sepsis) was analyzed using t tests or chi-squared tests. A logistic regression allowed determination of independent risk factors for each outcome, based on results from the bivariate analyses. Variables found to have P < 0.2 on bivariate analysis were subsequently included in the multivariate analysis of the corresponding surgical complication. RESULTS: Preoperative open, 'contaminated,' or 'dirty/infected' wounds, longer intraoperative times, development of sepsis prior to surgery, and admission of patients directly from home or from another hospital's emergency room were found to influence postoperative surgical infection rates. An individual's height, weight, total length of hospital stay, ethnicity, the presence of preoperative open or infected wounds, and wounds classified as 'dirty/infected' preoperatively affected postoperative additional service incidence. Preoperative congestive heart failure and large decreases in body weight, as well as a patient's total length of hospital stay, influenced postoperative DVT rates. A patient's preoperative functional heath status, total length of hospital stay, amputations conducted as emergency cases, as well as preoperative acute renal failure, open or infected wounds, sepsis, 'contaminated' or 'dirty/infected' wounds, impacted postoperative sepsis rates. CONCLUSION: Understanding these risk factors may allow providers to anticipate and address higher rates of complications in certain patient populations. SAGE Publications 2022-01-21 /pmc/articles/PMC8794960/ http://dx.doi.org/10.1177/2473011421S00430 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Safavi, Kiya Shazadeh
Villarreal, Joseph
Hussien, Doha
Panchbhavi, Vinod K.
Jupiter, Daniel
Predisposing Factors for 30-Day Complications Following Leg Amputation
title Predisposing Factors for 30-Day Complications Following Leg Amputation
title_full Predisposing Factors for 30-Day Complications Following Leg Amputation
title_fullStr Predisposing Factors for 30-Day Complications Following Leg Amputation
title_full_unstemmed Predisposing Factors for 30-Day Complications Following Leg Amputation
title_short Predisposing Factors for 30-Day Complications Following Leg Amputation
title_sort predisposing factors for 30-day complications following leg amputation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794960/
http://dx.doi.org/10.1177/2473011421S00430
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