Urine sediment analysis: Analytical and diagnostic performance of sediMAX - a new automated microscopy image-based urine sediment analyser

Clin Chim Acta. 2010 Feb;411(3-4):147-54. doi: 10.1016/j.cca.2009.10.018. Epub 2009 Oct 25.

Abstract

Background: We evaluated the analytical and diagnostic performance of sediMAX (77 Elektronika, Budapest, Hungary), a new automated microscopy image-based urine sediment analyser (which in some countries is also called Urised) in comparison with visual phase-contrast microscopy.

Methods: Precision, linearity, carry-over and method comparison were carried out according to well-established guidelines. The diagnostic performance with respect to visual phase-contrast microscopy was evaluated with results from two centres (n(1)=910, n(2)=1233). Uncentrifuged urine samples were used in visual microscopy in centre 1, while urine sediments were used in centre 2.

Results: Within-run precision for RBC was 17.8% and 6.7% at 18xE6 RBC/L and 447xE6 RBC/L respectively and for WBC it was 17% and 4.4% at 4xE6 WBC/L and 258xE6/L respectively. Between-run imprecision for RBC was 14.7% for 30xE6/L and 7.2% for 283xE6/L. For WBC it was 5.4% at 25xE6/L and 3% at 166xE6/L. In both studies areas under ROC curves (AUC) were 80-90% for RBC, WBC, squamous epithelial cells, yeast and calcium-oxalate crystals. For non-squamous epithelial cells and pathological and hyaline casts the AUC ranged 73-74%. There was no carry-over.

Conclusions: The sediMAX is well able to count and identify RBC, WBC, squamous epithelial cells, yeast, bacteria and calcium-oxalate crystals. Recognition of pathological casts and non-squamous epithelial cells is adequate but needs to be improved.

MeSH terms

  • Automation
  • Epithelial Cells / metabolism
  • Erythrocytes / metabolism
  • Humans
  • Hyalin / metabolism
  • Leukocytes / metabolism
  • Linear Models
  • Microscopy*
  • Urinalysis / methods*
  • Urine / chemistry
  • Urine / microbiology