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A clinical predictive model of candidaemia by Candida auris in previously colonized critically ill patients.
Garcia-Bustos, V; Salavert, M; Ruiz-Gaitán, A C; Cabañero-Navalon, M D; Sigona-Giangreco, I A; Pemán, J.
Afiliación
  • Garcia-Bustos V; Department of Internal Medicine, University and Polytechnic La Fe Hospital, Valencia, Spain. Electronic address: victorgarciabustos@gmail.com.
  • Salavert M; Unit of Infectious Diseases, University and Polytechnic La Fe Hospital, Valencia, Spain.
  • Ruiz-Gaitán AC; Department of Medical Microbiology, University and Polytechnic La Fe Hospital, Valencia, Spain.
  • Cabañero-Navalon MD; Department of Internal Medicine, University and Polytechnic La Fe Hospital, Valencia, Spain.
  • Sigona-Giangreco IA; Department of Medical Microbiology, University and Polytechnic La Fe Hospital, Valencia, Spain.
  • Pemán J; Department of Medical Microbiology, University and Polytechnic La Fe Hospital, Valencia, Spain.
Clin Microbiol Infect ; 26(11): 1507-1513, 2020 Nov.
Article en En | MEDLINE | ID: mdl-32061792
ABSTRACT

OBJECTIVES:

Candida auris is an emerging multidrug-resistant fungus that has been associated with nosocomial outbreaks with high rates of mortality and transmission. The aim of this study was to perform a retrospective cohort analysis of risk factors and to build a scoring method for estimating the risk of candidaemia in colonized critically ill patients.

METHODS:

We performed a retrospective observational cohort study of patients aged ≥15 years colonized by C. auris in the 3-year period between March 2016 and March 2019. Epidemiological, clinical, laboratory and microbiological data were collected. We developed a predictive model for candidaemia using elastic net multivariable logistic regression techniques, assessed its discriminative capacity, and internally validated it using bootstrap resampling.

RESULTS:

Two-hundred and six patients were enrolled in the cohort for derivation and internal validation. Thirty-seven out of 206 patients developed candidaemia. Total parenteral nutrition was the foremost risk factor (adjusted OR 3.73); previous surgery (adjusted OR 1.03), sepsis (adjusted OR 1.75), previous exposure to antifungal agents (adjusted OR 1.17), arterial catheters (adjusted OR 1.46), central venous catheters (adjusted OR 1.21), presence of advanced chronic kidney disease (adjusted OR 1.35) and multifocal colonization (adjusted OR of unifocal colonization 0.46) were proven to be independent predictors of candidaemia in our cohort. The corresponding area under the curve (AUC) of the elastic net regularized predictive model was 0.89 (95%CI 0.826; 0.951). After performing the internal validation by generating 500 bootstrap replications, the model still showed great accuracy, with a resulting AUC of 0.84.

CONCLUSION:

Our study provides evidence on the independent predisposing factors for candidaemia. It may help predict its estimated risk and may identify a high-risk population that could benefit from early or prophylactic antifungal treatment after external validation in other cohorts.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Candida / Candidemia Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Microbiol Infect Asunto de la revista: DOENCAS TRANSMISSIVEIS / MICROBIOLOGIA Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Candida / Candidemia Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Microbiol Infect Asunto de la revista: DOENCAS TRANSMISSIVEIS / MICROBIOLOGIA Año: 2020 Tipo del documento: Article