Standardization of serum creatinine is essential for accurate use of unbiased estimated GFR equations: evidence from three cohorts matched on renal function Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.1093/ckj/sfac182
Background Differences in the performance of estimated glomerular filtration rate (eGFR) equations have been attributed to the mathematical form of the equations and to differences between patient demographics and measurement methods. We evaluated differences in serum creatinine (SCr) and eGFR in cohorts matched for age, sex, body mass index (BMI) and measured GFR (mGFR). Methods White North Americans from Minnesota (n = 1093) and the Chronic Renal Insufficiency Cohort (CRIC) (n = 1548) and White subjects from the European Kidney Function Consortium (EKFC) cohort (n = 7727) were matched for demographic patient characteristics (sex, age ± 3 years, BMI ± 2.5 kg/m2) and renal function (mGFR ± 3 ml/min/1.73 m2). SCr was measured with isotope dilution mass spectrometry (IDMS)-traceable assays in the Minnesota and EKFC cohorts and with non-standardized SCr assays recalculated to IDMS in the CRIC. The Minnesota cohort and CRIC shared a common method to measure GFR (renal clearance of iothalamate), while the EKFC cohort used a variety of exogenous markers and methods, all with recognized sufficient accuracy. We compared the SCr levels and eGFR predictions [for Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and EKFC equations] of patients fulfilling these matching criteria. Results For 305 matched individuals, mean SCr (mg/dL) was not different between the Minnesota and EKFC cohorts (females 0.83 ± 0.20 versus 0.86 ± 0.23, males 1.06 ± 0.23 versus 1.12 ± 0.37; P > .05) but significantly different from the CRIC [females 1.13 ± 0.23 (P < .0001), males 1.42 ± 0.31 (P < .0001)]. The CKD-EPI equations performed better than the EKFC equation in the CRIC, while the opposite was true in the Minnesota and EKFC cohorts. Conclusion Significant differences in SCr concentrations between the Minnesota and EKFC cohorts versus CRIC were observed in subjects with the same level of mGFR and equal demographic characteristics and can be explained by the difference in SCr calibration.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/ckj/sfac182
- https://academic.oup.com/ckj/advance-article-pdf/doi/10.1093/ckj/sfac182/45538037/sfac182.pdf
- OA Status
- gold
- Cited By
- 19
- References
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- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4289637598
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4289637598Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/ckj/sfac182Digital Object Identifier
- Title
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Standardization of serum creatinine is essential for accurate use of unbiased estimated GFR equations: evidence from three cohorts matched on renal functionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-03Full publication date if available
- Authors
-
Hans Pottel, Étienne Cavalier, Jonas Björk, Ulf Nyman, Anders Grubb, Natalie Ebert, Elke Schäeffner, Björn O. Eriksen, Toralf Melsom, Edmund J. Lamb, Christophe Mariat, Laurence Dubourg, Magnus Hansson, Karin Littmann, Per‐Ola Sundin, Anna Åkesson, Anders Larsson, Andrew D. Rule, Pierre DelanayeList of authors in order
- Landing page
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https://doi.org/10.1093/ckj/sfac182Publisher landing page
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https://academic.oup.com/ckj/advance-article-pdf/doi/10.1093/ckj/sfac182/45538037/sfac182.pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://academic.oup.com/ckj/advance-article-pdf/doi/10.1093/ckj/sfac182/45538037/sfac182.pdfDirect OA link when available
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Renal function, Standardization, Creatinine, Medicine, Urology, Function (biology), Statistics, Internal medicine, Mathematics, Computer science, Biology, Evolutionary biology, Operating systemTop concepts (fields/topics) attached by OpenAlex
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19Total citation count in OpenAlex
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2025: 7, 2024: 8, 2023: 4Per-year citation counts (last 5 years)
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40Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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