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The detection and interpretation of urinary eosinophils
H L Corwin1, R A Bray, M H Haber
1Division of Nephrology, New England Medical Center, Boston, Mass 02111.
Archives of Pathology & Laboratory Medicine
|November 1, 1989
Summary
Eosinophiluria, the presence of eosinophils in urine, is linked to various conditions like urinary tract infections and acute interstitial nephritis. Hansel's stain is more effective than Wright's stain for detecting this.
Area of Science:
- Nephrology
- Urology
- Clinical Pathology
Background:
- Eosinophiluria, the presence of eosinophils in urine, is a potential indicator of renal and urinary tract conditions.
- Accurate detection methods are crucial for diagnosing associated clinical diagnoses.
Purpose of the Study:
- To determine the clinical diagnoses associated with eosinophiluria in a patient cohort.
- To compare the efficacy of Hansel's stain and Wright's stain in detecting eosinophils in urine.
- To evaluate eosinophiluria as a predictor for acute interstitial nephritis.
Main Methods:
- Clinical diagnosis was determined for 183 patients with urine samples analyzed for eosinophils.
- Urine samples were examined using both Hansel's stain and Wright's stain.
- Association between eosinophiluria and clinical conditions, including acute interstitial nephritis, was analyzed.
Main Results:
- Eosinophils were detected in the urine of 11% of the patients studied.
- Urinary tract infection and acute interstitial nephritis were the most common conditions associated with eosinophiluria (25% each).
- Hansel's stain demonstrated superior sensitivity and positive predictive value for detecting eosinophils compared to Wright's stain, particularly for acute interstitial nephritis.
Conclusions:
- Eosinophiluria is associated with diverse clinical conditions, notably urinary tract infections and acute interstitial nephritis.
- Eosinophiluria serves as a valuable predictor for acute interstitial nephritis.
- Hansel's stain is the preferred method for detecting eosinophils in urine due to its enhanced sensitivity and predictive value over Wright's stain.
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