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Impact of an Automated Surveillance to Detect Surgical-Site Infections in Patients Undergoing Total Hip and Knee Arthroplasty in Brazil

Published online by Cambridge University Press:  13 April 2016

Luciana B. Perdiz ,
Deborah S. Yokoe ,
Guilherme H. Furtado  and
Eduardo A. S. Medeiros
Luciana B. Perdiz*
Affiliation:
Hospital Epidemiology Committee, Division of Infectious Diseases, Hospital São Paulo, Federal University of São Paulo, São Paulo, Brazil
Deborah S. Yokoe
Affiliation:
Channing Laboratory, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massacusetts, United States
Guilherme H. Furtado
Affiliation:
Hospital Epidemiology Committee, Division of Infectious Diseases, Hospital São Paulo, Federal University of São Paulo, São Paulo, Brazil
Eduardo A. S. Medeiros
Affiliation:
Hospital Epidemiology Committee, Division of Infectious Diseases, Hospital São Paulo, Federal University of São Paulo, São Paulo, Brazil
*
Address correspondence to Luciana Baria Perdiz, RN, PhD, Hospital Epidemiology Committee, Division of Infectious Diseases, Hospital São Paulo, Federal University of São Paulo, 690 Napoleão de Barros St, 2nd floor, São Paulo, Brazil, 04024-002 ([email protected]).
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Abstract

In this retrospective study, we compared automated surveillance with conventional surveillance to detect surgical site infection after primary total hip or knee arthroplasty. Automated surveillance demonstrated better efficacy than routine surveillance in SSI diagnosis, sensitivity, and predictive negative value in hip and knee arthroplasty.

Infect Control Hosp Epidemiol 2016;37:991–993

Type
Concise Communications
Information
Infection Control & Hospital Epidemiology , Volume 37 , Issue 8 , August 2016 , pp. 991 - 993
Copyright
© 2016 by The Society for Healthcare Epidemiology of America. All rights reserved 

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References

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