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Clostridioides difficile Infections in Children: What Is the Optimal Laboratory Diagnostic Method?

Mohammed Suleiman1, Patrick Tang1,2, Omar Imam3

  • 1Department of Pathology, Sidra Medicine, Doha P.O. Box 26999, Qatar.

Microorganisms
|September 28, 2024
PubMed

Insights

Diagnosing Clostridioides difficile infection (CDI) in children is challenging. An algorithm using PCR or a gastrointestinal panel followed by toxin immunoassay offers the best performance for pediatric CDI diagnosis.

Area of Science:

  • Pediatric Infectious Diseases
  • Clinical Microbiology
  • Diagnostic Test Evaluation

Background:

  • Clostridioides difficile infection (CDI) diagnosis in children is complex due to high asymptomatic colonization rates.
  • Optimal laboratory diagnostic strategies for pediatric CDI remain debated.
  • Evaluating commercial diagnostic tests is crucial for accurate pediatric CDI detection.

Purpose of the Study:

  • To compare the performance of various commercial diagnostic tests and algorithms for Clostridioides difficile infection (CDI) in a pediatric population.
  • To identify the most effective testing strategy for diagnosing CDI in children aged 0-18 years.
  • To assess diagnostic performance based on turnaround time, cost, and clinical utility.

Main Methods:

  • 374 pediatric stool samples (June-December 2023) were tested using Techlab C. diff Quik Chek Complete, Cepheid GeneXpert C. difficile, QIAstat-Dx Gastrointestinal Panel, and CHROMagar C. difficile culture.
  • Standalone tests and four distinct testing algorithms were evaluated against a composite reference standard.
  • Performance metrics included sensitivity, specificity, positive predictive value, and negative predictive value.

Main Results:

  • Significant variability in performance was observed among the different diagnostic assays for pediatric CDI.
  • An algorithm combining Cepheid GeneXpert PCR or QIAstat-Dx panel as initial screening, followed by Techlab C. diff Quik Chek Complete toxin immunoassay for positive results, demonstrated optimal performance.
  • This optimized algorithm achieved 100% specificity and 100% positive predictive value when integrated with clinical assessment.

Conclusions:

  • The choice of diagnostic method significantly impacts Clostridioides difficile infection (CDI) diagnosis accuracy in children.
  • A multi-step algorithm incorporating molecular screening and toxin detection, alongside clinical evaluation, is recommended for pediatric CDI diagnosis.
  • This approach enhances diagnostic confidence and optimizes resource utilization in pediatric settings.

Keywords:
Clostridioides difficilechildrendiagnostic methodspediatric

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