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Diagnosing Invasive Candidiasis.

Cornelius J Clancy1,2, M Hong Nguyen3

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Summary
This summary is machine-generated.

Nonculture diagnostic tests for invasive candidiasis show high negative predictive values but low positive predictive values. Understanding patient pretest likelihood and test performance is crucial for effective clinical use.

Keywords:
T2CandidaT2MRcandidemiacandidiasisdiagnosisintra-abdominal candidiasis

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Area of Science:

  • Medical Mycology
  • Infectious Diseases
  • Diagnostic Microbiology

Background:

  • Invasive candidiasis diagnosis relies heavily on blood cultures, which are frequently negative.
  • Emerging nonculture diagnostic methods offer potential alternatives for detecting *Candida* infections.
  • Understanding the performance of these novel tests is critical for clinical application.

Purpose of the Study:

  • To review the performance of various nonculture diagnostic tests for invasive candidiasis.
  • To discuss the effective integration of these tests into patient care strategies.
  • To highlight the importance of pretest probability and test characteristics in interpreting results.

Main Methods:

  • Review of literature on nonculture *Candida* diagnostic tests.
  • Analysis of test performance metrics, including positive and negative predictive values.
  • Discussion of clinical utility in the context of candidemia and deep-seated candidiasis.

Main Results:

  • Nonculture tests evaluated include mannan/antimannan, *Candida albicans* germ tube antibody, 1,3-β-d-glucan, PCR, and the T2Candida panel.
  • These tests generally exhibit high negative predictive values but low positive predictive values.
  • Effective use requires consideration of pretest likelihood and specific disease manifestations.

Conclusions:

  • Nonculture diagnostics are valuable adjuncts, particularly for ruling out invasive candidiasis due to high NPVs.
  • Clinicians must carefully consider pretest probability and test performance characteristics for accurate diagnosis.
  • Further research and clinical validation are needed to optimize the use of these emerging *Candida* diagnostics.