Assessment of clinical risk predictive rules for invasive candidiasis in a prospective multicentre cohort of ICU patients

Playford, Elliott Geoffrey, Lipman, Jeff, Kabir, Masrura, McBryde, Emma S., Nimmo, Graeme R., Lau, Anna, and Sorrell, Tania C. (2009) Assessment of clinical risk predictive rules for invasive candidiasis in a prospective multicentre cohort of ICU patients. Intensive Care Medicine, 35 (12). pp. 2141-2145.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1007/s00134-009-161...
 
3


Abstract

Purpose: 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.

Item ID: 39780
Item Type: Article (Research - C1)
ISSN: 1432-1238
Keywords: candida; candidaemia; ICU; risk; prediction
Funders: National Health and Medical Research Council of Australia (NHMRC), Centre for Clinical Research Excellence (CCRE), Pfizer
Projects and Grants: NHMRC Project Grant 512307, CCRE Grant no. 264625
Date Deposited: 02 Sep 2015 03:59
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1103 Clinical Sciences > 110309 Infectious Diseases @ 40%
11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111706 Epidemiology @ 40%
16 STUDIES IN HUMAN SOCIETY > 1605 Policy and Administration > 160508 Health Policy @ 20%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 60%
92 HEALTH > 9203 Indigenous Health > 920309 Pacific Peoples Health - Health System Performance (incl. Effectiveness of Interventions) @ 20%
92 HEALTH > 9202 Health and Support Services > 920207 Health Policy Evaluation @ 20%
Downloads: Total: 3
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page