Mortality patterns in candidemia: Insights from a multispecies analysis using a global research network

Abstract

Understanding the impact of different Candida species on patient outcomes is crucial for effective management and treatment strategies. This study aims to comprehensively analyze the association between Candida species and mortality in documented candidemia. We queried TriNetX, a global research network database, to identify patients diagnosed with candidemia through polymerase chain reaction from 2020 to 2023. The primary outcome was mortality in candidemia patients, categorized by Candida species at 90 days and 1 year. The time to death was assessed using Kaplan-Meier plots. Cox proportional hazard (PH) models were also used for comparative analysis, unadjusted and adjusted for demographic and comorbidity covariates. We captured 1234 candidemia episodes during the study period. The 90-day and 1-year mortality rates for the various Candida species were as follows: C. tropicalis (33.9% and 35.6%), C. glabrata (28.3% and 34%), multispecies (27.7% and 36.4%), C. parapsilosis (25.8% and 31.8%), C. krusei (21.4% and 28.6%), C. albicans (21.1% and 23.9%), and C. auris (13.3% and 15.9%). The unadjusted Kaplan-Meier Survival analysis showed that multispecies candidemia, followed by C. tropicalis, had the lowest survival. The adjusted multivariable Cox PH model found that C.albicans, C. glabrata, C. parapsilosis, C. tropicalis, and multispecies candidemia had significantly higher mortality rates than C. auris. Age and a higher Charlson comorbidity index value emerged as independent predictors of increased mortality. Among patients with candidemia, we found an overall 1-year mortality of 28%. Multispecies candidemia, C. tropicalis, older age, and a higher comorbidity burden were associated with the highest mortality rates.

Keywords: Candida auris; Candidemia; mortality.