Candidaemia and a risk predictive model for overall mortality: a prospective multicentre study

BMC Infect Dis. 2019 May 21;19(1):445. doi: 10.1186/s12879-019-4065-5.

Abstract

Background: 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.

Methods: 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.

Results: The median age of 133 patients with candidaemia was 62 years; 76 (57%) were male and 57 (43%) were female. Co-morbidities included underlying haematologic malignancy (n = 20; 15%), and solid organ malignancy in (n = 25; 19%); 55 (41%) were in an intensive care unit (ICU). Non-albicans Candida spp. accounted for 61% of cases (81/133). All-cause 30-day mortality was 31%. A gastrointestinal or unknown source was associated with higher overall mortality than an intravascular or urologic source (p < 0.01). A risk predictive score based on age > 65 years, ICU admission, chronic organ dysfunction, preceding surgery within 30 days, haematological malignancy, source of candidaemia and antibiotic therapy for ≥10 days stratified patients into < 20% or ≥ 20% predicted mortality. The model retained accuracy when validated against a historical dataset (n = 741).

Conclusions: Mortality in patients with candidaemia remains high. A simple mortality risk predictive score stratifying patients with candidaemia into < 20% and ≥ 20% 30-day mortality is presented. This model uses information available at time of candidaemia diagnosis is easy to incorporate into decision support systems. Further validation of this model is warranted.

Keywords: Candida blood stream infection; Candidaemia; Invasive fungal infection; Mortality; Risk stratification score.

Publication types

  • Multicenter Study

MeSH terms

  • Aged
  • Antifungal Agents / therapeutic use
  • Australia / epidemiology
  • Candida / classification
  • Candida / genetics
  • Candida / isolation & purification
  • Candidemia / drug therapy
  • Candidemia / epidemiology
  • Candidemia / microbiology
  • Candidemia / mortality*
  • Female
  • Hematologic Neoplasms / complications
  • Hospitalization / statistics & numerical data
  • Humans
  • Intensive Care Units / statistics & numerical data
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Predictive Value of Tests
  • Prospective Studies
  • ROC Curve
  • Risk Factors

Substances

  • Antifungal Agents

Grants and funding