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

Autor:	Guilherme Henrique Campos Furtado, Deborah S. Yokoe, Luciana Baria Perdiz, Eduardo Alexandrino Servolo Medeiros
Rok vydání:	2016
Předmět:	musculoskeletal diseases Microbiology (medical) Cross infection Male medicine.medical_specialty Epidemiology medicine.medical_treatment Arthroplasty Replacement Hip Total hip replacement 030501 epidemiology 03 medical and health sciences Automation 0302 clinical medicine Postoperative Complications Surgical site Medicine Humans Surgical Wound Infection In patient 030212 general & internal medicine Arthroplasty Replacement Knee Retrospective Studies Cross Infection business.industry Retrospective cohort study Arthroplasty Surgery Infectious Diseases Population Surveillance Female 0305 other medical science business Surgical site infection Brazil
Zdroj:	Infection control and hospital epidemiology. 37(8)
ISSN:	1559-6834
Popis:	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
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e28f643f2c5692588dc77007cb0a8bf https://pubmed.ncbi.nlm.nih.gov/27072598 Zobrazit plný text záznamu