Literature DB >> 27038393

Prediction of surgical site infection after colorectal surgery.

Yanet Pedroso-Fernandez1, Armando Aguirre-Jaime2, Maria J Ramos3, Miriam Hernández3, Milagros Cuervo3, Alberto Bravo4, Angel Carrillo4.   

Abstract

BACKGROUND: Surgical site infection (SSI) after colorectal surgery is a frequent complication associated with substantial morbidity. Our objective was to identify surgical predictors of SSI in patients undergoing colorectal surgery using a retrospective case-control design.
MATERIAL AND METHODS: Randomly selected patients from all those undergoing colorectal surgery (2007-2013). Cases were patients who developed SSI within 30 days. Controls were patients who did not develop SSI within 30 days. Patients undergoing multiple procedures during a single surgical intervention were excluded. SSI was diagnosed according to Centers for Disease Control and Prevention definitions. The main outcome measures were SSI, surgical variables, and cumulative survival (Kaplan-Meier method). Variables considered predictors were compared using log-rank test.
RESULTS: Of 911 patients undergoing colorectal surgery, 221 developed SSI (24.3%; 95% confidence interval, 24.0-24.6). On univariate analysis, significant risk factors for SSI were: female sex (P = .02), >72 hours preoperative stay (P = .04), open surgery (P = .08), incision class: contaminated and dirty (P = .001), and emergency procedures (P = .006). On multivariate analysis, significant independent predictors of SSI and survival were dirty surgery (hazard ratio [HR], 2.12; P = .015), contaminated surgery (HR, 1.74; P = .009), female sex (HR, 1.58; P = .003), open surgery, (HR, 1.51; P = .015) and >72 hours preoperative stay (HR, 1.48; P = .024).
CONCLUSIONS: Dirty or contaminated surgery, female sex, open surgery, and >72 hours preoperative stay were significant predictors of SSI.
Copyright © 2016 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Incidence; Predictors; Surgical site infection

Mesh:

Year:  2016        PMID: 27038393     DOI: 10.1016/j.ajic.2015.10.024

Source DB:  PubMed          Journal:  Am J Infect Control        ISSN: 0196-6553            Impact factor:   2.918


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