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Centers for Disease Control (CDC) Wound Classification is Prognostic of 30-Day Readmission Following Surgery
BACKGROUND: The goal of this study was to investigate factors associated with 30-day readmission in a multivariate model, including the CDC wound classes “clean,” “clean/contaminated,” “contaminated,” and “dirty/infected.” METHODS: The 2017–2020 American College of Surgeons-National Surgical Quality...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474202/ https://www.ncbi.nlm.nih.gov/pubmed/37405445 http://dx.doi.org/10.1007/s00268-023-07093-3 |
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author | Yin, Victoria Cobb, J. Perren Wightman, Sean C. Atay, Scott M. Harano, Takashi Kim, Anthony W. |
author_facet | Yin, Victoria Cobb, J. Perren Wightman, Sean C. Atay, Scott M. Harano, Takashi Kim, Anthony W. |
author_sort | Yin, Victoria |
collection | PubMed |
description | BACKGROUND: The goal of this study was to investigate factors associated with 30-day readmission in a multivariate model, including the CDC wound classes “clean,” “clean/contaminated,” “contaminated,” and “dirty/infected.” METHODS: The 2017–2020 American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for all patients undergoing total hip replacement, coronary artery bypass grafting, Ivor Lewis esophagectomy, pancreaticoduodenectomy, distal pancreatectomy, pneumonectomy, and colectomies. ACS-defined wound classes were concordant with CDC definitions. Multivariate linear mixed regression was used to determine risk factors for readmission while adjusting for type of surgery as a random intercept. RESULTS: 477,964 cases were identified, with 38,734 (8.1%) patients having experienced readmission within 30 days of surgery. There were 181,243 (37.9%) cases classified as wound class “clean”, 215,729 (45.1%) cases classified as “clean/contaminated”, 40,684 cases (8.5%) classified as “contaminated”, and 40,308 (8.4%) cases classified as “dirty/infected”. In the multivariate generalized mixed linear model adjusting for type of surgery, sex, body mass index, race, American Society of Anesthesiologists class, presence of comorbidity, length of stay, urgency of surgery, and discharge destination, “clean/contaminated” (p < .001), “contaminated” (p < .001), and “dirty/infected” (p < .001) wound classes (when compared to “clean”) were significantly associated with 30-day readmission. Organ/space surgical site infection and sepsis were among the most common reasons for readmission in all wound classes. CONCLUSIONS: Wound classification was strongly prognostic for readmission in multivariable models, suggesting that it may serve as a marker of readmissions. Surgical procedures that are “non-clean” are at significantly greater risk for 30-day readmission. Readmissions may be due to infectious complications; optimizing antibiotic use or source control to prevent readmission are areas of future study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00268-023-07093-3. |
format | Online Article Text |
id | pubmed-10474202 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-104742022023-09-03 Centers for Disease Control (CDC) Wound Classification is Prognostic of 30-Day Readmission Following Surgery Yin, Victoria Cobb, J. Perren Wightman, Sean C. Atay, Scott M. Harano, Takashi Kim, Anthony W. World J Surg Original Scientific Report BACKGROUND: The goal of this study was to investigate factors associated with 30-day readmission in a multivariate model, including the CDC wound classes “clean,” “clean/contaminated,” “contaminated,” and “dirty/infected.” METHODS: The 2017–2020 American College of Surgeons-National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for all patients undergoing total hip replacement, coronary artery bypass grafting, Ivor Lewis esophagectomy, pancreaticoduodenectomy, distal pancreatectomy, pneumonectomy, and colectomies. ACS-defined wound classes were concordant with CDC definitions. Multivariate linear mixed regression was used to determine risk factors for readmission while adjusting for type of surgery as a random intercept. RESULTS: 477,964 cases were identified, with 38,734 (8.1%) patients having experienced readmission within 30 days of surgery. There were 181,243 (37.9%) cases classified as wound class “clean”, 215,729 (45.1%) cases classified as “clean/contaminated”, 40,684 cases (8.5%) classified as “contaminated”, and 40,308 (8.4%) cases classified as “dirty/infected”. In the multivariate generalized mixed linear model adjusting for type of surgery, sex, body mass index, race, American Society of Anesthesiologists class, presence of comorbidity, length of stay, urgency of surgery, and discharge destination, “clean/contaminated” (p < .001), “contaminated” (p < .001), and “dirty/infected” (p < .001) wound classes (when compared to “clean”) were significantly associated with 30-day readmission. Organ/space surgical site infection and sepsis were among the most common reasons for readmission in all wound classes. CONCLUSIONS: Wound classification was strongly prognostic for readmission in multivariable models, suggesting that it may serve as a marker of readmissions. Surgical procedures that are “non-clean” are at significantly greater risk for 30-day readmission. Readmissions may be due to infectious complications; optimizing antibiotic use or source control to prevent readmission are areas of future study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00268-023-07093-3. Springer International Publishing 2023-07-05 2023 /pmc/articles/PMC10474202/ /pubmed/37405445 http://dx.doi.org/10.1007/s00268-023-07093-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Original Scientific Report Yin, Victoria Cobb, J. Perren Wightman, Sean C. Atay, Scott M. Harano, Takashi Kim, Anthony W. Centers for Disease Control (CDC) Wound Classification is Prognostic of 30-Day Readmission Following Surgery |
title | Centers for Disease Control (CDC) Wound Classification is Prognostic of 30-Day Readmission Following Surgery |
title_full | Centers for Disease Control (CDC) Wound Classification is Prognostic of 30-Day Readmission Following Surgery |
title_fullStr | Centers for Disease Control (CDC) Wound Classification is Prognostic of 30-Day Readmission Following Surgery |
title_full_unstemmed | Centers for Disease Control (CDC) Wound Classification is Prognostic of 30-Day Readmission Following Surgery |
title_short | Centers for Disease Control (CDC) Wound Classification is Prognostic of 30-Day Readmission Following Surgery |
title_sort | centers for disease control (cdc) wound classification is prognostic of 30-day readmission following surgery |
topic | Original Scientific Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474202/ https://www.ncbi.nlm.nih.gov/pubmed/37405445 http://dx.doi.org/10.1007/s00268-023-07093-3 |
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