Literature DB >> 32593566

Evaluation the diagnostic accuracy of albuminuria detection in semi-quantitative urinalysis.

Chia-Ju Yang1, Ding-Ping Chen2, Ying-Hao Wen3, Nan-Chang Lai1, Hsiao-Chen Ning4.   

Abstract

BACKGROUND: Taiwan has the highest end-stage renal disease prevalence in the world, and the costs on the maintenance of dialysis imposes a great financial burden on National Health Insurance. Routine urinalysis provides an opportunity for the early detection of microalbuminuria. We evaluated the accuracy of semi-quantitative chemical methods from Siemens Novus Pro12 dipstick for albumin-creatinine ratio (ACR).
METHODS: We collected 1029 random urine samples and performed urinary analytic tests by Siemens Novus with Pro12 dipsticks and also calculated the urinary ACR. The reference method was performed by Hitachi LST008, a quantitative assay. The percentage of exact agreement in ACR was 81.9% between Siemens Novus and Hitachi LST008. The percentage of agreement within 1 level between the 2 methods was 98.5%. When ACR > 30 mg/g was defined as the threshold for positive results, the sensitivity, specificity, positive, and negative predictive values for microalbuminuria were 87.2%, 91.6%, 91.5%, and 87.3%, respectively. There were 778 cases with negative results of urinary protein, analyzed by conventional dipsticks. 149 of 778 (19.2%) cases were positive, measured by Pro12 dipsticks, and 111 of 149 (74.5%) cases were confirmed positive ACR by Hitachi LST008.
CONCLUSIONS: Urinary ACR measured by Siemens Novus with Pro12 dipsticks was shown to be a reliable test for detection of microalbuminuria.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Albumin creatinine ratio (ACR); Albuminuria; Semi-quantitative urinalysis

Mesh:

Substances:

Year:  2020        PMID: 32593566     DOI: 10.1016/j.cca.2020.06.036

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  2 in total

1.  Diagnostic accuracy of urine dipstick testing for albumin-to-creatinine ratio and albuminuria: A systematic review and meta-analysis.

Authors:  Jhonatan R Mejia; Jose Ernesto Fernandez-Chinguel; Gandy Dolores-Maldonado; Naysha Becerra-Chauca; Sergio Goicochea-Lugo; Percy Herrera-Añazco; Jessica Hanae Zafra-Tanaka; Alvaro Taype-Rondan
Journal:  Heliyon       Date:  2021-10-23

2.  Predictive System Implementation to Improve the Accuracy of Urine Self-Diagnosis with Smartphones: Application of a Confusion Matrix-Based Learning Model through RGB Semiquantitative Analysis.

Authors:  Seon-Chil Kim; Young-Sik Cho
Journal:  Sensors (Basel)       Date:  2022-07-21       Impact factor: 3.847

  2 in total

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