Diagnostic performance of combined specific urinary proteins and urinary flow cytometry in urinary tract pathology
Autor: | Karel Everaert, Joris Penders, Tom Fiers, Annemieke Dhondt, Joris R. Delanghe, Joeri Barth |
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Rok vydání: | 2007 |
Předmět: |
Urologic Diseases
Pathology medicine.medical_specialty Proteinuria Urinalysis medicine.diagnostic_test Beta-2 microglobulin business.industry Urinary system Biochemistry (medical) Clinical Biochemistry Acute prostatitis Proteins Anatomical pathology General Medicine medicine.disease Flow Cytometry Sensitivity and Specificity medicine Humans medicine.symptom business Cytometry Kidney disease |
Zdroj: | Clinical chemistry and laboratory medicine. 45(4) |
ISSN: | 1434-6621 |
Popis: | Background: Urinalysis comprises three techniques: urinary flow cytometry, test strip analysis and determination of specific urinary proteins. We investigated the diagnostic possibilities of combining these methods for a cohort of patients with a variety of well-documented urological and nephrological pathology. Methods: Urinary samples from 407 in- and outpatients with nephrological or urological pathology were retrospectively included in our study. Test strip analysis (URISYS 2400), urinary flow cytometry (UF-100) and urinary protein analysis [albumin, total protein, α 1 -microglobulin (A1M), α 2 -macroglobulin (A2M)] were performed. Results: In discriminating upper and lower urinary tract infections, A1M and A1M/log(white blood cells) can be used, whereas pathological casts only give poor discrimination. The ratio A2M/log(red blood cells; RBC) allows differentiation between cystitis and pyelonephritis, while glomerular diseases can be recognised by the log(RBC × urinary total protein). Combining A2M and urinary albumin allows the determination of acute prostatitis. Conclusions: Using combined parameters provided by various urinalysis techniques, ratios can be proposed with diagnostic value for classifying renal and urological conditions. Possible integration in computer-based knowledge systems may offer valuable information for clinicians dealing with these pathologies. |
Databáze: | OpenAIRE |
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