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


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2009-09-15

AUTHORS

Elliott Geoffrey Playford, Jeff Lipman, Masrura Kabir, Emma S. McBryde, Graeme R. Nimmo, Anna Lau, Tania C. Sorrell

ABSTRACT

PurposeTo assess the generalisability of published clinical risk predictive models for invasive candidiasis in ICU patients.MethodsThe 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.ResultsThe 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.ConclusionsRisk 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. More... »

PAGES

2141

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00134-009-1619-9

DOI

http://dx.doi.org/10.1007/s00134-009-1619-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003995862

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19756510


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