Literature DB >> 20226571

Postdischarge surveillance following cesarean section: the incidence of surgical site infection and associated factors.

Meire Celeste Cardoso Del Monte1, Aarão Mendes Pinto Neto.   

Abstract

BACKGROUND: The rate of surgical site infections (SSI) and their associated risk factors was identified by performing postdischarge surveillance following cesarean section at a public university teaching hospital in Brazil.
METHODS: The study was conducted at the Center for Women's Integrated Health Care in Brazil between May 2008 and March 2009. Women were contacted by telephone 15 and 30 days after cesarean section. During hospitalization, a form was completed on factors associated with post-cesarean SSI. The chi(2) test and Fisher exact test were used to analyze categorical variables and the Mann-Whitney test for numerical variables. Relative risks (RR) and their respective 95% confidence intervals (95% CI) were calculated for factors associated with SSI. P values < .05 were considered significant.
RESULTS: The final sample consisted of 187 women. SSI was detected in 44 cases (23.5%). In 42 of 44 women (95%), SSI appeared following discharge from hospital, becoming evident within the first 15 days following surgery. Number of prenatal consultations < or =7 (RR, 2.09; 95% CI: 1.26-3.48) and hypertension (RR, 2.07; 95% CI: 1.25-3.43) were significantly associated with SSI in the bivariate analysis. In the multivariate analysis, only hypertension (RR, 2.47; 95% CI: 1.21-5.04) remained significant.
CONCLUSION: Postdischarge surveillance is essential for ensuring accurate estimates of post-cesarean section SSI. A 15-day postdischarge follow-up was shown to be sufficient. Hypertension was a factor associated with SSI. Copyright 2010 Association for Professionals in Infection Control and Epidemiology, Inc. Published by Mosby, Inc. All rights reserved.

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Year:  2010        PMID: 20226571     DOI: 10.1016/j.ajic.2009.10.008

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


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