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Risk Factors for Surgical Site Infection in Children

Published online by Cambridge University Press:  21 June 2016

Juan Francisco Casanova ,
Rafael Herruzo  and
Jesús Díez
Juan Francisco Casanova*
Affiliation:
Department of Preventive Medicine and Public Health, Autonomous University of Madrid, Madrid, Spain
Rafael Herruzo
Affiliation:
Department of Preventive Medicine and Public Health, Autonomous University of Madrid, Madrid, Spain Service of Preventive Medicine, La Paz Hospital, Madrid, Spain
Jesús Díez
Affiliation:
Department of Preventive Medicine and Public Health, Autonomous University of Madrid, Madrid, Spain Service of Preventive Medicine, La Paz Hospital, Madrid, Spain
*
Departmento de Medicina Preventiva y Salud Pública, Facultad de Medicina., Universidad Autónoma de Madrid, C/. Arzobispo Morcillo, 4, 28029-Madrid, Spain ([email protected])
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Abstract

Objectives.

To assess the appropriateness of using the indices developed by the Study on the Efficacy of Nosocomial Infection Control (SENIC) and the National Nosocomial Infections Surveillance (NNIS) project to determine risk factors for surgical site infection (SSI) in children and, if not appropriate, to explore the factors related to SSI in children so these factors could be used in a risk index for pediatric patients.

Design.

Cohort study during more than 4 years.

Setting.

La Paz University Hospital, a national reference center that serves Health Area 5 of Madrid, Spain, which has approximately 500,000 inhabitants.

Patients.

Convenience sample consisting of the 3,646 children admitted for surgery who had a postsurgical stay of more than 2 days.

Results.

A model with 8 predictive factors (degree of surgical contamination; duration of surgery; type of surgery; use of a peripheral venous catheter, central venous catheter, or urinary catheter; number of diagnoses; and SSI exposition time) was created. Its relation to the SSI rate was better than that of the SENIC or NNIS indices. Its sensitivity, specificity, and area under the receiver–operating characteristic curve were higher than that of the SENIC index.

Conclusions.

The model that we created seems to be more adequate for predicting SSI and evaluating pediatric patients' intrinsic risk than the SENIC and NNIS indices.

Type
Original Articles
Information
Infection Control & Hospital Epidemiology , Volume 27 , Issue 7 , July 2006 , pp. 709 - 715
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2006

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