The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
First Morning Voids Are More Reliable Than Spot Urine Samples to Assess Microalbuminuria
Open accessAbstract
Measurement of urinary albumin excretion (UAE) in a 24-h collection is the gold standard method to determine the presence of microalbuminuria. We sought to compare more practical alternatives--measurement of urinary albumin concentration (UAC) or albumin:creatinine ratio (ACR)--in a first morning void or in a spot urine sample with this gold standard. We asked 241 participants of a prospective cohort study to make three 24-h urine collections, a first morning void, and a spot urine sample. Regression analysis showed that the ACR in a first morning void best agreed with 24-h UAE. The prevalence of microalbuminuria determined by data from a first morning void (7.5%, whether by UAC or ACR) nearly equaled the prevalence of microalbuminuria determined by 24-h UAE (10.0%), whereas the prevalence was higher when determined by spot urine samples (25.4% for UAC and 22.4% for ACR; both P < 0.001 versus 24-h UAE). The intraindividual coefficients of variation of the ACR in a first morning void and 24-h UAE were similar (19%). Intraindividual coefficients of variations of all other measurements of albuminuria were significantly greater. In conclusion, measurement of albuminuria in a first morning void, preferably as the ACR, is more reliable than a spot urine sample to diagnose and monitor microalbuminuria.
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STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
(2007) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2006.12.005 · Cited by 1,788
Evaluation of tests for microalbuminuria screening in patients with diabetes
Incerti, J., Zelmanovitz, T., Camargo, J. L., Gross, J. L., & de Azevedo, M. J. (2005) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfi074 · Cited by 93
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Chronic Kidney Disease Diagnosis and Management: A Review
Chen, T. K., Knicely, D. H., & Grams, M. E. (2019) · JAMA · doi:10.1001/jama.2019.14745 · Cited by 1,811
Sacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Kirkman, M. S., Lernmark, A., Metzger, B. E., & Nathan, D. M. (2011) · Clinical Chemistry · doi:10.1373/clinchem.2010.161596 · Cited by 1,360
Sacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Kirkman, M. S., Lernmark, A., Metzger, B. E., & Nathan, D. M. (2011) · Diabetes Care · doi:10.2337/dc11-9998 · Cited by 718
Coresh, J., Heerspink, H. J. L., Sang, Y., Matsushita, K., Arnlov, J., Astor, B. C., Black, C., Brunskill, N. J., Carrero, J.-J., Feldman, H. I., et al. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30313-9 · Cited by 338
Self-citationSacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Diabetes Care · doi:10.2337/dci23-0036 · Cited by 351
“The optimal time for spot urine collection is the early morning, but for minimizing variation, all collections should be at the same time of day; the individual preferably should not have ingested food for at least 2 h (334).”
Metadata
- Authors
- Witte, E. C., Lambers Heerspink, H. J., de Zeeuw, D., Bakker, S. J. L., de Jong, P. E., & Gansevoort, R.
- Venue
- Journal of the American Society of Nephrology
- Published
- 2009-02
- Volume
- 20
- Issue
- 2
- Pages
- 436-443
- ISSN
- 1046-6673 (ISSN-L)
- OpenAlex
- W2112457187
- Cited by
- 288
- References
- 3
- FWCI
- 9.84
- Type
- journal article
- Language
- en
- Open access
- green
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- Witte, E. C., Lambers Heerspink, H. J., de Zeeuw, D., Bakker, S. J. L., de Jong, P. E., & Gansevoort, R. (2009). First Morning Voids Are More Reliable Than Spot Urine Samples to Assess Microalbuminuria. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.2008030292
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.