Literature DB >> 33419091

Comparison of Two Different Semiquantitative Urinary Dipstick Tests with Albumin-to-Creatinine Ratio for Screening and Classification of Albuminuria According to KDIGO. A Diagnostic Test Study.

Nikolai C Hodel1,2, Ali Hamad3, Klaus Reither2,3,4, Irene Mndala Kasella5, Salim Abdulla3, Andreas Schoetzau4, Christoph F R Hatz2,4,6, Michael Mayr1.   

Abstract

BACKGROUND: Semiquantitative dipstick tests are utilized for albuminuria screening.
METHODS: In a prospective cross-sectional survey, we analyzed the diagnostic test validity of the semiquantitative colorimetric indicator-dye-based Combur9-Test® and the albumin-specific immunochromatographic assay Micral-Test® for the detection of albuminuria, the distribution of the semiquantitative measurements within the albuminuria stages according to KDIGO, and the utility for albuminuria screening compared with an albumin-to-creatinine ratio (ACR) in a walk-in population.
RESULTS: In 970 subjects, albuminuria (≥30 mg/g) was detected in 12.7% (95% CI 85.6-96.3%) with the ACR. Sensitivity was 82.9% (95% CI 75.1-89.1%) and 91.9% (95% CI 88.7-96.9%) and specificity 71.5% (95% CI 68.4-74.6%) and 17.5% (95% CI 15.0-20.2%) for the Combur9-Test® and Micral-Test®, respectively. Correct classification to KDIGO albuminuria stages A2/A3 with the Combur9-Test® was 15.4%, 51.4%, and 87.9% at cut-offs of 30, 100, and ≥300 mg/dL, and with the Micral-Test® it was 1.8%, 10.5%, and 53.6% at cut-offs of 2, 5, and 10 mg/dL, respectively. Overall, disagreement to KDIGO albuminuria was seen in 27% and 73% with the Combur9-Test® and Micral-Test®, respectively. From the total population, 62.5% and 15.3% were correctly ruled out and 2.2% and 1% were missed as false-negatives by the Combur9-Test® and Micral-Test®, respectively.
CONCLUSION: Compared to the Combur9-Test®, the utility of the Micral-Test® is limited, because the fraction of correctly ruled out patients is small and a large proportion with a positive Micral-Test® require a subsequent ACR conformation test.

Entities:  

Keywords:  ACR; Coumbur9-Test®; Micral-Test®; albumin-to-creatinine ratio; albuminuria; diagnostic evaluation; diagnostic test study; point-of-care diagnostics; urinary dipstick test

Year:  2021        PMID: 33419091      PMCID: PMC7825407          DOI: 10.3390/diagnostics11010081

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  38 in total

1.  Global burden of hypertension: analysis of worldwide data.

Authors:  Patricia M Kearney; Megan Whelton; Kristi Reynolds; Paul Muntner; Paul K Whelton; Jiang He
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Review 2.  Chronic Kidney Disease.

Authors:  Angela C Webster; Evi V Nagler; Rachael L Morton; Philip Masson
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3.  Relation between kidney function, proteinuria, and adverse outcomes.

Authors:  Brenda R Hemmelgarn; Braden J Manns; Anita Lloyd; Matthew T James; Scott Klarenbach; Robert R Quinn; Natasha Wiebe; Marcello Tonelli
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4.  Global prevalence of diabetes: estimates for the year 2000 and projections for 2030.

Authors:  Sarah Wild; Gojka Roglic; Anders Green; Richard Sicree; Hilary King
Journal:  Diabetes Care       Date:  2004-05       Impact factor: 19.112

5.  Association of kidney function and albuminuria with cardiovascular mortality in older vs younger individuals: The HUNT II Study.

Authors:  Stein Hallan; Brad Astor; Solfrid Romundstad; Knut Aasarød; Kurt Kvenild; Josef Coresh
Journal:  Arch Intern Med       Date:  2007-12-10

Review 6.  Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention.

Authors:  Ron T Gansevoort; Ricardo Correa-Rotter; Brenda R Hemmelgarn; Tazeen H Jafar; Hiddo J Lambers Heerspink; Johannes F Mann; Kunihiro Matsushita; Chi Pang Wen
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Review 7.  A systematic analysis of worldwide population-based data on the global burden of chronic kidney disease in 2010.

Authors:  Katherine T Mills; Yu Xu; Weidong Zhang; Joshua D Bundy; Chung-Shiuan Chen; Tanika N Kelly; Jing Chen; Jiang He
Journal:  Kidney Int       Date:  2015-07-29       Impact factor: 10.612

Review 8.  Global Prevalence of Chronic Kidney Disease - A Systematic Review and Meta-Analysis.

Authors:  Nathan R Hill; Samuel T Fatoba; Jason L Oke; Jennifer A Hirst; Christopher A O'Callaghan; Daniel S Lasserson; F D Richard Hobbs
Journal:  PLoS One       Date:  2016-07-06       Impact factor: 3.240

9.  Decreased renal function and associated factors in cities, towns and rural areas of Tanzania: a community-based population survey.

Authors:  Robert Peck; Kathy Baisley; Bazil Kavishe; Jackson Were; Janneth Mghamba; Liam Smeeth; Heiner Grosskurth; Saidi Kapiga
Journal:  Trop Med Int Health       Date:  2015-12-28       Impact factor: 2.622

10.  The epidemiology of chronic kidney disease and the association with non-communicable and communicable disorders in a population of sub-Saharan Africa.

Authors:  Nikolai C Hodel; Ali Hamad; Claudia Praehauser; Grace Mwangoka; Irene Mndala Kasella; Klaus Reither; Salim Abdulla; Christoph F R Hatz; Michael Mayr
Journal:  PLoS One       Date:  2018-10-31       Impact factor: 3.240

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