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Optimal diagnostic testing for urinary tract infection in young children
Robert Novak1, Keith Powell, Norman Christopher
1Department of Pediatrics, Akron Children's Hospital, One Perkins Square, Akron, OH 44308, USA. rnovak@chmca.org
Summary
Diagnosing urinary tract infections (UTIs) in young children is crucial. Combining unspun urine leukocyte counts and gram stains offers the best prediction for UTI but requires careful laboratory consideration.
Area of Science:
- Pediatrics
- Clinical Microbiology
- Diagnostic Medicine
Background:
- Urinary tract infections (UTIs) are a significant health concern in febrile young children.
- Accurate diagnosis is essential for timely and appropriate management.
- Current guidelines recommend urine collection via catheterization or aspiration, but optimal ancillary tests remain debated.
Purpose of the Study:
- To evaluate the utility of various ancillary tests in predicting culture-proven UTIs in febrile children under 5 years old.
- To identify the most effective combination of tests for guiding initial management.
Main Methods:
- A prospective evaluation of 142 febrile children under 5 years old in an Emergency Department setting.
- Assessed dipstick tests (leukocyte esterase, blood, nitrite), unspun urine leukocyte count, Gram stain of cytocentrifuged urine, and spun sediment examination.
- Compared test performance using sensitivity and negative predictive values.
Main Results:
- Unspun urine leukocyte count and Gram stain of cytocentrifuged urine, when used in parallel, demonstrated the best predictive performance for UTI.
- Despite improved prediction, this combined approach still failed to detect all culture-proven UTIs.
- Specimen characteristics influenced test results, explaining variations from previous studies.
Conclusions:
- A modified approach using unspun urine leukocyte count and Gram stain offers improved prediction of UTI in young febrile children.
- This diagnostic strategy has operational implications and potential challenges for laboratory workflow.
- Further refinement may be needed to optimize UTI detection rates in this population.