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Interferences in current methods for measurements of creatinine
Abstract
We measured the interference of carbonyl compounds, drugs, and other substances in human serum on the determination of creatinine by the two-point, fixed-time kinetic modification of the Jaffé reaction as well as by four enzymatic methods. We added known concentrations of the interfering substances to a solution of creatinine in water. For bilirubin, we used both pooled normal sera with added bilirubin and icteric patient sera. The magnitude of interferences varies widely from method to method. Carbonyl compounds, dopamine, cephalosporines, and bilirubin interfere with the Jaffé reaction. Bilirubin, creatine, dopamine, ascorbic acid, and sarcosine interfere with the enzymatic methods. We conclude that the elimination of interferences in the determination of creatinine has still not been achieved.
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Citations
Cited by
Creatine and Creatinine Metabolism
Wyss, M., & Kaddurah-Daouk, R. (2000) · Physiological Reviews · doi:10.1152/physrev.2000.80.3.1107 · Cited by 2,950
Taes, Y. E. C. (2003) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/18.2.258 · Cited by 58
Metadata
- Authors
- Weber, J. A., & van Zanten, A. P.
- Venue
- Clinical Chemistry
- Publisher
- Oxford University Press (OUP)
- Published
- 1991-05-01
- Volume
- 37
- Issue
- 5
- Pages
- 695-700
- ISSN
- 0009-9147 (ISSN-L)
- 1530-8561
- OpenAlex
- W2104808416
- Cited by
- 252
- References
- 0
- FWCI
- 1.64
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Interferences in current methods for measurements of creatinine. https://app.cochat.ai/papers/10.1093/clinchem/37.5.695
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- Weber, J. A., & van Zanten, A. P. (1991). Interferences in current methods for measurements of creatinine. Clinical Chemistry. https://doi.org/10.1093/clinchem/37.5.695
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
