Diagnosis of invasive candidiasis in the ICU

Philippe Eggimann1, Jacques Bille, Oscar Marchetti

  • 1Adult Critical Care Medicine and Burn Centre, Centre Hospitalier Universitaire Vaudois (CHUV) -- BH 08-619, Bugnon 46 CH-1011 Lausanne, Switzerland. philippe.eggimann@chuv.ch.

Annals of Intensive Care
|September 13, 2011
PubMed

Insights

Invasive candidiasis, a serious ICU infection, is hard to predict and diagnose early. New methods show promise for identifying high-risk patients needing antifungal treatment.

Area of Science:

  • Infectious Diseases
  • Critical Care Medicine
  • Mycology

Background:

  • Invasive candidiasis is a significant ICU-acquired infection with high mortality.
  • Candida albicans is the primary pathogen, but antifungal resistance is increasing.
  • Early diagnosis of invasive candidiasis is challenging due to low blood culture positivity.

Purpose of the Study:

  • To review current challenges and emerging strategies for diagnosing and managing invasive candidiasis in intensive care units (ICUs).
  • To explore the utility of novel non-culture-based diagnostic techniques.
  • To identify high-risk patients who may benefit from antifungal prophylaxis or preemptive treatment.

Main Methods:

  • Review of current literature on invasive candidiasis epidemiology, diagnosis, and treatment in ICUs.
  • Evaluation of non-culture-based diagnostic methods including serologic and molecular assays.
  • Discussion of risk factors and prediction models for identifying susceptible patients.

Main Results:

  • Invasive candidiasis affects 5-10 per 1,000 ICU admissions, with mortality comparable to septic shock.
  • Existing diagnostic methods like blood cultures are often late and insensitive.
  • Investigational techniques like Candida-specific PCR and serologic markers show potential for early detection.

Conclusions:

  • Accurate prediction and early diagnosis of invasive candidiasis remain critical challenges in ICUs.
  • Non-culture-based methods require further validation for clinical utility.
  • Monitoring colonization dynamics and utilizing prediction rules may help optimize antifungal use in high-risk patients.

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