Invasive candidiasis: from mycobiome to infection, therapy, and prevention

L Lagunes1, J Rello2,3

  • 1Critical Care Department, Vall d'Hebron University Hospital, Ps Vall d'Hebron 119-129, 08035, Barcelona, Spain. leonel.lagunes@gmail.com.

Insights

Invasive candidiasis is a serious risk for ICU patients. Early detection using predictive scores and biomarkers, followed by echinocandin treatment, improves outcomes and microbiota restoration.

Area of Science:

  • Medical Mycology
  • Critical Care Medicine
  • Human Microbiome Research

Background:

  • Candida species are common human commensals.
  • Invasive candidiasis incidence is rising, particularly in critically ill patients.
  • Understanding the transition from colonization to invasive disease is crucial.

Purpose of the Study:

  • To examine the relationship between Candida spp. in the human mycobiome, host defenses, and invasive disease pathophysiology.
  • To identify risk factors and diagnostic approaches for invasive candidiasis in intensive care unit (ICU) patients.
  • To recommend optimal treatment strategies for invasive candidiasis in critically ill individuals.

Main Methods:

  • Review of current hypotheses on immune responses to Candida.
  • Analysis of risk factors associated with invasive candidiasis in ICU settings.
  • Evaluation of diagnostic and therapeutic strategies, including predictive scores, biomarkers, and antifungal agents.

Main Results:

  • Critically ill patients in ICUs face the highest risk due to factors like disease severity, immunosuppression, and broad-spectrum antibiotic use.
  • Predictive scores and biomarkers are key for early screening and diagnosis.
  • Echinocandins are the recommended first-line treatment for invasive candidiasis in this population.

Conclusions:

  • Prompt diagnosis and treatment, alongside source control, are essential for managing invasive candidiasis in severe cases.
  • Restoring a healthy microbiota is an important aspect of patient recovery.
  • Future strategies may involve immune-genomics and detailed clinical background analysis for personalized treatment.

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