{"indexed":{"date-parts":[[2017,10,27]],"date-time":"2017-10-27T21:10:36Z","timestamp":1509138636940},"reference-count":17,"publisher":"Cambridge University Press (CUP)","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2016,2]]},"abstract":"\n OBJECTIVE<\/jats:title>\n To develop a probabilistic method for measuring central line\u2013associated bloodstream infection (CLABSI) rates that reduces the variability associated with traditional, manual methods of applying CLABSI surveillance definitions.<\/jats:p>\n <\/jats:sec>\n \n DESIGN<\/jats:title>\n Multicenter retrospective cohort study of bacteremia episodes among patients hospitalized in adult patient-care units; the study evaluated presence of CLABSI.<\/jats:p>\n <\/jats:sec>\n \n SETTING<\/jats:title>\n Hospitals that used SafetySurveillor software system (Premier) and who also reported to the Centers for Disease Control and Prevention\u2019s National Healthcare Safety Network (NHSN).<\/jats:p>\n <\/jats:sec>\n \n PATIENTS<\/jats:title>\n Patients were identified from a stratified sample from all eligible blood culture isolates from all eligible hospital units to generate a final set with an equal distribution (ie, 20%) from each unit type. Units were divided a priori into 5 major groups: medical intensive care unit, surgical intensive care unit, medical-surgical intensive care unit, hematology unit, or general medical wards.<\/jats:p>\n <\/jats:sec>\n \n INTERVENTIONS<\/jats:title>\n Episodes were reviewed by 2 experts, and a selection of discordant reviews were re-reviewed. Data were joined with NHSN data for hospitals for in-plan months. A predictive model was created; model performance was assessed using the c statistic in a validation set and comparison with NHSN reported rates for in-plan months.<\/jats:p>\n <\/jats:sec>\n \n RESULTS<\/jats:title>\n A final model was created with predictors of CLABSI. The c statistic for the final model was 0.75 (0.68\u20130.80). Rates from regression modeling correlated better with expert review than NHSN-reported rates.<\/jats:p>\n <\/jats:sec>\n \n CONCLUSIONS<\/jats:title>\n The use of a regression model based on the clinical characteristics of the bacteremia outperformed traditional infection preventionist surveillance compared with an expert-derived reference standard.<\/jats:p>\n \n Infect. Control Hosp. Epidemiol.<\/jats:italic> 2016;37(2):149\u2013155<\/jats:p>\n <\/jats:sec>","DOI":"10.1017\/ice.2015.255","type":"article-journal","created":{"date-parts":[[2015,12,14]],"date-time":"2015-12-14T08:35:52Z","timestamp":1450082152000},"page":"149-155","source":"Crossref","is-referenced-by-count":3,"title":"Probabilistic Measurement of Central Line\u2013Associated Bloodstream Infections","prefix":"10.1017","volume":"37","author":[{"given":"Bala","family":"Hota","affiliation":[]},{"given":"Paul","family":"Malpiedi","affiliation":[]},{"given":"Scott K.","family":"Fridkin","affiliation":[]},{"given":"John","family":"Martin","affiliation":[]},{"given":"William","family":"Trick","affiliation":[]}],"member":"56","published-online":{"date-parts":[[2015,12,14]]},"reference":[{"key":"S0899823X1500255X_ref9","DOI":"10.1086\/606168","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref10","DOI":"10.1016\/j.ajic.2009.02.013","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref7","volume":"304","first-page":"2035","year":"2010","journal-title":"JAMA"},{"key":"S0899823X1500255X_ref6","DOI":"10.1001\/jama.2013.282047","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref18","DOI":"10.1086\/657583","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref5","DOI":"10.1086\/660873","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref4","DOI":"10.1001\/jama.298.15.1800","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref16","DOI":"10.1038\/jp.2008.67","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref3","DOI":"10.1086\/502585","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref15","DOI":"10.1111\/bjop.12081","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref2","DOI":"10.1056\/NEJMoa061115","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref14","DOI":"10.1086\/667383","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref1","DOI":"10.1086\/657912","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref13","DOI":"10.1086\/669082","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref12","DOI":"10.1086\/669513","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref11","DOI":"10.1086\/667380","doi-asserted-by":"publisher"},{"key":"S0899823X1500255X_ref8","DOI":"10.1093\/cid\/cis410","doi-asserted-by":"publisher"}],"container-title":"Infection Control & Hospital Epidemiology","original-title":[],"link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0899823X1500255X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,4,23]],"date-time":"2017-04-23T01:25:43Z","timestamp":1492910743000},"score":1.0,"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,12,14]]},"references-count":17,"alternative-id":["S0899823X1500255X"],"URL":"http:\/\/dx.doi.org\/10.1017\/ice.2015.255","relation":{"cites":[]},"ISSN":["0899-823X","1559-6834"],"subject":["Microbiology (medical)","Epidemiology","Infectious Diseases"],"container-title-short":"Infect. Control Hosp. Epidemiol."}