BACKGROUND: Surgical wound classification has been the foundation for infectious risk assessment, perioperative protocol development, and surgical decision-making. The wound classification system categorizes all surgeries into: clean, clean/contaminated, contaminated, and dirty, with estimated postoperative rates of surgical site infection (SSI) being 1%-5%, 3%-11%, 10%-17%, and over 27%, respectively. The present study evaluates the associated rates of the SSI by wound classification using a large risk adjusted surgical patient database. METHODS: A cross-sectional study was performed using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) dataset between 2005 and 2008. All surgical cases that specified a wound class were included in our analysis. Patient demographics, hospital length of stay, preoperative risk factors, co-morbidities, and complication rates were compared across the different wound class categories. Surgical site infection rates for superficial, deep incisional, and organ/space infections were analyzed among the four wound classifications using multivariate logistic regression. RESULTS: A total of 634,426 cases were analyzed. From this sample, 49.7% were classified as clean, 35.0% clean/contaminated, 8.56% contaminated, and 6.7% dirty. When stratifying by wound classification, the clean, clean/contaminated, contaminated, and dirty wound classifications had superficial SSI rates of 1.76%, 3.94%, 4.75%, and 5.16%, respectively. The rates of deep incisional infections were 0.54%, 0.86%, 1.31%, and 2.1%. The rates for organ/space infection were 0.28%, 1.87%, 2.55%, and 4.54%. CONCLUSION: Using ACS-NSQIP data, the present study demonstrates substantially lower rates of surgical site infections in the contaminated and dirty wound classifications than previously reported in the literature.
BACKGROUND: Surgical wound classification has been the foundation for infectious risk assessment, perioperative protocol development, and surgical decision-making. The wound classification system categorizes all surgeries into: clean, clean/contaminated, contaminated, and dirty, with estimated postoperative rates of surgical site infection (SSI) being 1%-5%, 3%-11%, 10%-17%, and over 27%, respectively. The present study evaluates the associated rates of the SSI by wound classification using a large risk adjusted surgical patient database. METHODS: A cross-sectional study was performed using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) dataset between 2005 and 2008. All surgical cases that specified a wound class were included in our analysis. Patient demographics, hospital length of stay, preoperative risk factors, co-morbidities, and complication rates were compared across the different wound class categories. Surgical site infection rates for superficial, deep incisional, and organ/space infections were analyzed among the four wound classifications using multivariate logistic regression. RESULTS: A total of 634,426 cases were analyzed. From this sample, 49.7% were classified as clean, 35.0% clean/contaminated, 8.56% contaminated, and 6.7% dirty. When stratifying by wound classification, the clean, clean/contaminated, contaminated, and dirty wound classifications had superficial SSI rates of 1.76%, 3.94%, 4.75%, and 5.16%, respectively. The rates of deep incisional infections were 0.54%, 0.86%, 1.31%, and 2.1%. The rates for organ/space infection were 0.28%, 1.87%, 2.55%, and 4.54%. CONCLUSION: Using ACS-NSQIP data, the present study demonstrates substantially lower rates of surgical site infections in the contaminated and dirty wound classifications than previously reported in the literature.
Authors: Jason D Wright; Khalid Hassan; Cande V Ananth; Thomas J Herzog; Sharyn N Lewin; William M Burke; Yu-Shiang Lu; Alfred I Neugut; Dawn L Hershman Journal: Obstet Gynecol Date: 2013-12 Impact factor: 7.661
Authors: Akkeneel Talsma; Andrzej Galecki; Carol E Chenoweth; Hyogeun Geun; Darrell A Campbell Journal: Infect Control Hosp Epidemiol Date: 2013-09-23 Impact factor: 3.254
Authors: Dominique B Buck; Eleonora G Karthaus; Peter A Soden; Klaas H J Ultee; Joost A van Herwaarden; Frans L Moll; Marc L Schermerhorn Journal: J Vasc Surg Date: 2015-03-28 Impact factor: 4.268
Authors: Luis Angel Medina Andrade; Franz Yeudiel Pérez Muñoz; María Valeria Jiménez Báez; Stephanie Serrano Collazos; Maria de Los Angeles Martinez Ferretiz; Brenda Ruiz; Oscar Montes; Stephanie Woolf; Jessica Gonzalez Noriega; Uriel Maldonado Aparicio; Israel Gonzalez Gonzalez Journal: World J Surg Date: 2016-11 Impact factor: 3.352
Authors: Andrew J Pugely; Yubo Gao; Christopher T Martin; John J Callagh; Stuart L Weinstein; J Lawrence Marsh Journal: Clin Orthop Relat Res Date: 2014-07 Impact factor: 4.176