biostudies-literatureKeighley CMSD Australia445https://www.ebi.ac.uk/biostudies/studies/S-EPMC6528341biostudies-literatureUnknown19(1)<h4>Background</h4>Candidaemia is associated with high mortality. Variables associated with mortality have been published previously, but not developed into a risk predictive model for mortality. We sought to describe the current epidemiology of candidaemia in Australia, analyse predictors of 30-day all-cause mortality, and develop and validate a mortality risk predictive model.<h4>Methods</h4>Adults with candidaemia were studied prospectively over 12 months at eight institutions. Clinical and laboratory variables at time of blood culture-positivity were subject to multivariate analysis for association with 30-day all-cause mortality. A predictive score for mortality was examined by area under receiver operator characteristic curves and a historical data set was used for validation.<h4>ResBMC infectious diseasesCandidaemia and a risk predictive model for overall mortality: a prospective multicentre study.PMC6528341N/ASlavin MAPope ADarvall JKidd SSorrell TCChapman BUnderwood NWilson HLMcDonald KKeighley CNguyen QMarriott DKennedy KBak NVan Hal SChen SCHajkowicz KHalliday CfalseCandidaemia and a risk predictive model for overall mortality: a prospective multicentre study.<h4>Background</h4>Candidaemia is associated with high mortality. Variables associated with mortality have been published previously, but not developed into a risk predictive model for mortality. We sought to describe the current epidemiology of candidaemia in Australia, analyse predictors of 30-day all-cause mortality, and develop and validate a mortality risk predictive model.<h4>Methods</h4>Adults with candidaemia were studied prospectively over 12 months at eight institutions. Clinical and laboratory variables at time of blood culture-positivity were subject to multivariate analysis for association with 30-day all-cause mortality. A predictive score for mortality was examined by area under receiver operator characteristic curves and a historical data set was used for validation.<h4>Res2019-01-01T00:00:00Z2019 May2025-05-18T12:00:03.653Z2025-05-18T12:00:03.653ZS-EPMC65283413111338210.1186/s12879-019-4065-5