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Indices of Surgical Site Infection Risk and Prediction of Other Adverse Outcomes During Hospitalization

Published online by Cambridge University Press:  21 June 2016

Miguel Delgado-Rodríguez ,
Silvia Palma ,
Antonio Gómez-Ortega ,
Gabriel Martínez-Gallego  and
Marcelino Medina-Cuadros
Silvia Palma
Affiliation:
Division of Preventive Medicine, University of Jaen, Jaen, Spain
Antonio Gómez-Ortega
Affiliation:
Service of General Surgery, Hospital Ciudad de Jaen, Jaen, Spain
Gabriel Martínez-Gallego
Affiliation:
Service of General Surgery, Hospital Ciudad de Jaen, Jaen, Spain
Marcelino Medina-Cuadros
Affiliation:
Service of General Surgery, Hospital Ciudad de Jaen, Jaen, Spain
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Abstract

Objective.

To assess which adverse postsurgical outcomes are best predicted by the Study on the Efficacy of Nosocomial Infection Control (SENIC) index and the National Nosocomial Infection Surveillance system (NNIS) index.

Design.

Prospective cohort study.

Setting.

The service of general surgery at a tertiary care hospital.

Patients.

A consecutive series of patients hospitalized for more than 1 day (n = 2,989).

Results.

The outcome best predicted by the SENIC and NNIS indices was assessed by estimating the area under the receiver operating characteristic (ROC) curve. The areas under the ROC curves for nosocomial infection and in-hospital death were higher for the NNIS index than they were for the SENIC index (P<.05). The NNIS index predicted in-hospital death better than it predicted surgical site infection (area under the ROC curve ± SE, 0.836 ± 0.022 vs 0.689 ± 0.017; P = .001).

Conclusions.

The NNIS index is superior to the SENIC index for all adverse postsurgical outcomes. Its ability to predict in-hospital mortality is clearly better than its ability to predict surgical site infection.

Type
Original Articles
Information
Infection Control & Hospital Epidemiology , Volume 27 , Issue 8 , August 2006 , pp. 825 - 828
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2006

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