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Suitability of the NNIS Index for Estimating Surgical-Site Infection Risk at a Small University Hospital in Brazil

Published online by Cambridge University Press:  02 January 2015

Maria Léa Campos*
Affiliation:
Infection Control Committee, Hospital Universitário, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil
Zulmira Miotello Cipriano
Affiliation:
Infection Control Committee, Hospital Universitário, Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brazil
Paulo Fontoura Freitas
Affiliation:
London School of Hygiene and Tropical Medicine, London University, United Kingdom
*
Rua Rui Barbosa, 135, 401, CEP 88025-300, Florianópolis, Santa Catarina, Brazil

Abstract

Objectives:

To detect the occurrence of surgical-site infection (SSI) in our study sample, using the traditional variables of the National Nosocomial Infection Surveillance (NNIS) index with a locally modified cut-off point for the “T time” defining length of surgical procedure; to compare the modified and the traditional NNIS index under the hypothesis that a cut-off point discriminating procedures of short and long duration, based upon the actual experience of the study sample, can adequately predict the risk of SSI.

Design:

A retrospective chart review of 9,322 patients undergoing surgical procedures in the period January 1993 to December 1998.

Setting:

A small university hospital (UH) in southern Brazil.

Results:

The composite index using the local sample procedure-duration cut-off point (UH-index) performed better than any of the individual components of the composite index (anesthesia risk index and surgical-wound class [SWC]). The UH-index also predicted adequately the risk of SSI when compared to the traditional NNIS index, particularly when stratifying by SWC.

Conclusions:

A modified NNIS index, using the sample cut-off point, can adequately predict the risk of SSI in a given population. Further studies are needed to compare and validate the NNIS index of risk for populations other than those of the NNIS-participating hospitals. Larger samples using different hospitals with similar characteristics are needed to investigate the risk of SSI associated with specific operations.

Type
Original Articles
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2001

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