title: Impact of an Automated Surveillance to Detect Surgical-Site Infections in Patients Undergoing Total Hip and Knee Arthroplasty in Brazil.
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.
authors.affiliation: Hospital Epidemiology Committee, Division of Infectious Diseases, Hospital São Paulo, Federal University of São Paulo, São Paulo, Brazil.
authors.forename: Luciana B
authors.initials: LB
authors.lastname: Perdiz
authors.affiliation: Channing Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, Massacusetts, United States.
authors.forename: Deborah S
authors.initials: DS
authors.lastname: Yokoe
authors.affiliation: Hospital Epidemiology Committee, Division of Infectious Diseases, Hospital São Paulo, Federal University of São Paulo, São Paulo, Brazil.
authors.forename: Guilherme H
authors.initials: GH
authors.lastname: Furtado
authors.affiliation: Hospital Epidemiology Committee, Division of Infectious Diseases, Hospital São Paulo, Federal University of São Paulo, São Paulo, Brazil.
authors.forename: Eduardo A S
authors.initials: EAS
authors.lastname: Medeiros
mesh_terms: D019644:Arthroplasty, Replacement, Hip; D019645:Arthroplasty, Replacement, Knee; D001331:Automation; D001938:Brazil / Q000453:epidemiology; D003428:Cross Infection / Q000175:diagnosis; D005260:Female; D006801:Humans; D008297:Male; D011159:Population Surveillance / Q000379:methods*; D011183:Postoperative Complications / Q000382:microbiology*; D012189:Retrospective Studies; D013530:Surgical Wound Infection / Q000175:diagnosis*