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

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dc.citation.issue8
dc.citation.volume37
dc.contributor.authorPerdiz, Luciana B. [UNIFESP]
dc.contributor.authorYokoe, Deborah S.
dc.contributor.authorFurtado, Guilherme H. [UNIFESP]
dc.contributor.authorMedeiros, Eduardo A. S. [UNIFESP]
dc.coverageNew York
dc.date.accessioned2020-08-14T13:43:59Z
dc.date.available2020-08-14T13:43:59Z
dc.date.issued2016
dc.description.abstractIn 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.en
dc.description.affiliationUniv Fed Sao Paulo, Hosp Sao Paulo, Hosp Epidemiol Comm, Div Infect Dis, 690 Napoleao de Barros St, BR-04024002 Sao Paulo, Brazil
dc.description.affiliationBrigham & Womens Hosp, Channing Lab, Boston, MA 02115 USA
dc.description.affiliationHarvard Med Sch, Boston, MA USA
dc.description.affiliationUnifespUniv Fed Sao Paulo, Hosp Sao Paulo, Hosp Epidemiol Comm, Div Infect Dis, 690 Napoleao de Barros St, BR-04024002 Sao Paulo, Brazil
dc.description.sourceWeb of Science
dc.format.extent991-993
dc.identifierhttp://dx.doi.org/10.1017/ice.2016.86
dc.identifier.citationInfection Control And Hospital Epidemiology. New York, v. 37, n. 8, p. 991-993, 2016.
dc.identifier.doi10.1017/ice.2016.86
dc.identifier.issn0899-823X
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/57474
dc.identifier.wosWOS:000380968800019
dc.language.isoeng
dc.publisherCambridge Univ Press
dc.relation.ispartofInfection Control And Hospital Epidemiology
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.titleImpact of an Automated Surveillance to Detect Surgical-Site Infections in Patients Undergoing Total Hip and Knee Arthroplasty in Brazilen
dc.typeinfo:eu-repo/semantics/article
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