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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Comparison of Different Methods of Erythrocyte Dysmorphism Analysis to Determine the Origin of Hematuria

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Author(s):
Martinez, Marila Gaste [1] ; Silva, Vanessa dos S. [1] ; do Valle, Adriana P. [2] ; Amaro, Carmen R. P. R. [1] ; Corrente, Jose E. [3] ; Martin, Luis Cuadrado [1]
Total Authors: 6
Affiliation:
[1] Univ Estadual Paulista, Botucatu Med Sch, Div Nephrol, Botucatu, SP - Brazil
[2] Univ Estadual Paulista, Botucatu Med Sch, Dept Internal Med, Div Clin Pathol, Botucatu, SP - Brazil
[3] Univ Estadual Paulista, Botucatu Med Sch, Dept Biostat, Botucatu, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: NEPHRON CLINICAL PRACTICE; v. 128, n. 1-2, p. 88-94, DEC 2014.
Web of Science Citations: 0
Abstract

Background/Aims: There is disagreement regarding the performance of conventional optical microscopy to assess the origin of hematuria. The aim of this study was to determine the optimal cutoff point for dysmorphic cells in order to detect glomerular hematuria by optical and phase-contrast microscopy. Methods: In total, 131 urine samples (66 from patients with glomerulopathies and 65 from nephrolithiasis patients) were evaluated in a blinded fashion. The percentages of doughnut cells and acanthocytes were verified by optical and phase-contrast microscopy. A total of 131 patients were randomly allocated to the derivation (n = 73) and validation (n = 58) groups. Receiver-operating characteristic (ROC) curves were plotted to check the discriminatory power of each group and the best cutoff points were determined by the Youden index in the derivation group and subsequently tested in the validation group. Results: All areas under the ROC curve (AUCs) were statistically significant using both methods (conventional optical and phasecontrast microscopy) and both groups (derivation and validation). AUCs did not differ between different glomerulopathies. The best cutoff point to determine the glomerular origin of hematuria by total dysmorphic cells was 22% using an optical conventional microscope and 40% by phase-contrast microscopy. Conclusion: We determined the best cutoff points to interpret erythrocyte dysmorphism and demonstrated that it is possible to discriminate the origin of hematuria by evaluating erythrocyte dysmorphism in urinalysis using either an optical or a phase-contrast microscope. (C) 2014 S. Karger AG, Basel (AU)

FAPESP's process: 10/14686-3 - Best cutoff of the percentage of dysmorphic erythrocytes evaluated by different methods associated or not with the measurement of macroalbuminuria and microalbuminuria in the diagnosis of the origin of hematuria
Grantee:Marila Gaste Martinez
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 10/11591-1 - Best cutoff of dysmorphic erythrocytes percentage evaluated by different methods with or without the dosage of proteinuria and microalbuminuria in the diagnosis of the origin of hematuria.
Grantee:Luis Cuadrado Martin
Support Opportunities: Regular Research Grants