title: Assessment of clinical risk predictive rules for invasive candidiasis in a prospective multicentre cohort of ICU patients.
abstract: OBJECTIVE
  To assess the generalisability of published clinical risk predictive models for invasive candidiasis in ICU patients.
  
  
  METHODS
  The performance characteristics of published clinical risk factor-only and Candida colonisation-only predictive models for invasive candidiasis were assessed in a multicentre cohort of Australian ICU patients. Clinical risk factors and Candida colonisation parameters were collected prospectively from patients.
  
  
  RESULTS
  The two clinical risk factor-only predictive models applied to an Australian patient cohort (n = 615) performed less well than in published studies involving derivation populations. Model performance characteristics improved when Candida colonisation parameters were added post-hoc.
  
  
  CONCLUSIONS
  Risk predictive models should factor in both clinical risk factors and Candida colonisation parameters. Integrating these models into therapeutic algorithms first requires external validation in different patient populations and settings.
authors.affiliation: Infection Management Services, Princess Alexandra Hospital, Ipswich Road, Woolloongabba, Brisbane, QLD 4102, Australia. geoffrey_playford@health.qld.gov.au
authors.forename: Elliott Geoffrey
authors.initials: EG
authors.lastname: Playford
authors.forename: Jeff
authors.initials: J
authors.lastname: Lipman
authors.forename: Masrura
authors.initials: M
authors.lastname: Kabir
authors.forename: Emma S
authors.initials: ES
authors.lastname: McBryde
authors.forename: Graeme R
authors.initials: GR
authors.lastname: Nimmo
authors.forename: Anna
authors.initials: A
authors.lastname: Lau
authors.forename: Tania C
authors.initials: TC
authors.lastname: Sorrell
mesh_terms: D000328:Adult; D002177:Candidiasis / Q000175:diagnosis* / Q000453:epidemiology / Q000382:microbiology*; D015331:Cohort Studies; D005260:Female; D006801:Humans; D007362:Intensive Care Units / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D011446:Prospective Studies; D018570:Risk Assessment; D012307:Risk Factors