{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Keighley C"],"funding":["MSD Australia"],"pagination":["445"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6528341"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["19(1)"],"pubmed_abstract":["<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>Res"],"journal":["BMC infectious diseases"],"pubmed_title":["Candidaemia and a risk predictive model for overall mortality: a prospective multicentre study."],"pmcid":["PMC6528341"],"funding_grant_id":["N/A"],"pubmed_authors":["Slavin MA","Pope A","Darvall J","Kidd S","Sorrell TC","Chapman B","Underwood N","Wilson HL","McDonald K","Keighley C","Nguyen Q","Marriott D","Kennedy K","Bak N","Van Hal S","Chen SC","Hajkowicz K","Halliday C"],"additional_accession":[]},"is_claimable":false,"name":"Candidaemia and a risk predictive model for overall mortality: a prospective multicentre study.","description":"<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>Res","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 May","modification":"2025-05-18T12:00:03.653Z","creation":"2025-05-18T12:00:03.653Z"},"accession":"S-EPMC6528341","cross_references":{"pubmed":["31113382"],"doi":["10.1186/s12879-019-4065-5"]}}