Decoding candidemia in critically ill patients: unsupervised clustering identifies three unique phenotypes

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Authors: Florian Reizine, Juliette Henry, Luc Desmedt, Christophe Camus, Valentin Coirier, François Arrivé, Estelle Burban, Gabriel Eustache, Tony Belleville, Antoine Marc, Jolan Malherbe, Pierre Bouju
+22 more Paul Jaubert, Olivier Lesieur, Maxime Leclerc, Pierre Fillâtre, Aurélien Frerou, Renaud Prével, Nolwenn Mainguy, Anne Cady, Florent Morio, Solène Le Gal, Estelle Perraud, Laurence Delhaès, Sébastien Imbert, Hélène Guegan, Julie Bonhomme, Marc Pihet, Clarisse Dupin, Agathe Delbove, Damien du Cheyron, Yoann Launey, Cécile Aubron, Jean‐Pierre Gangneux
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References: 20

Abstract

BACKGROUND: Candidemia displays significant clinical heterogeneity in critically ill patients. This study aimed to identify distinct clinical phenotypes and to assess their association with 90-day mortality. METHODS: We conducted a multicenter retrospective cohort study of 492 intensive care unit (ICU) patients with candidemia from 16 French ICUs (2015-2023). We performed a factor analysis of mixed data (FAMD) incorporating both categorical and continuous baseline variables, followed by hierarchical clustering on principal components (HCPC). Survival analysis was performed with Kaplan-Meier curves and Cox proportional hazards models. RESULTS: Overall, 90-day mortality for the 492 patients (median age: 64 years, 69.1% male) with candidemia was 62.6%. Three different phenotypes emerged from FAMD followed by HCPC: Phenotype 1 (n = 70, 14.2%) comprised patients with severe immunosuppression, mostly due to hematological malignancies (82.9%), and high severity scores (SAPS II:70); Phenotype 2 (n = 223, 45.3%) corresponded to elderly cirrhotic patients (19.3%) with early-onset digestive candidemia; Phenotype 3 (n = 199, 40.5%) comprised younger patients with lower severity scores and catheter-related candidemia. Mortality differed significantly between phenotypes: 72.9% (Phenotype 1), 70.4% (Phenotype 2), and 50.3% (Phenotype 3) (p < 0.001). Independent predictors of mortality included age (aHR: 1.01, 95% CI: 1.00-1.02; p = 0.003), cirrhosis (aHR: 1.90, 95% CI: 1.39-2.60; p < 0.001), SAPS II (aHR: 1.01, 95% CI: 1.01-1.02; p < 0.001), echinocandin use (aHR = 0.49, 95% CI: 0.39-0.63; p < 0.001) and proven catheter-related candidemia (protective; aHR: 0.48, 95% CI: 0.33-0.69; p < 0.001). Immunodepression was not associated with mortality. CONCLUSION: Unsupervised clustering identified three clinically different candidemia phenotypes with different outcomes. Cirrhosis, higher age and illness severity were associated with mortality, whereas a catheter-related source of infection was protective.

Fields of Study & Subjects

Blood disorders and treatments Genomics and Rare Diseases Asthma and respiratory diseases

Publication details

Journal / source
Critical Care
Publisher
Springer Science and Business Media LLC
Volume
30
Issue
1
Publication date
28 June 2026
Language
EN