Literature DB >> 27978513

An Overview of Errors and Flaws of Estimated GFR versus True GFR in Patients with Diabetes Mellitus.

Sergio Luis-Lima1, Esteban Porrini.   

Abstract

The determination of renal function is crucial in patients with type 2 diabetes (T2DM), a population at risk for chronic kidney disease (CKD). Glomerular filtration rate (GFR) can be measured (mGFR) with gold standard methods or estimated (eGFR) with formulas. Since 1957, when Effersoe published the first formula, more than 50 equations have been developed to estimate GFR. In this review, we examined the studies that compared mGFR and eGFR in patients with T2DM to analyze the performance of those formulae in this population. In cross-sectional studies, the average error of eGFR was ±30% of mGFR. Thus, in a patient with mGFR of 60 mL/min, eGFR may vary from 42 to 78 mL/min. Moreover, many patients were misclassified according to CKD stages. Formulas failed to detect glomerular hyperfiltration. In longitudinal studies, eGFR poorly reflected real GFR decline over time. All studies showed that eGFR decline was slower than mGFR decline. Notably, no major improvement in accuracy and precision has been observed since 1957 despite the use of cystatin-c. Thus, formulas are not reliable indicators of GFR in patients with T2DM. In clinical studies, where GFR is the main outcome measure of the study, eGFR should be avoided.
© 2016 S. Karger AG, Basel.

Entities:  

Keywords:  Estimated GFR; Formulas; Glomerular filtration rate; Type 2 diabetes mellitus

Mesh:

Year:  2016        PMID: 27978513     DOI: 10.1159/000453531

Source DB:  PubMed          Journal:  Nephron        ISSN: 1660-8151            Impact factor:   2.847


  13 in total

1.  Chronic kidney disease in adults aged 18 years and older in Chile: findings from the cross-sectional Chilean National Health Surveys 2009-2010 and 2016-2017.

Authors:  Magdalena Walbaum; Shaun Scholes; Elena Pizzo; Melanie Paccot; Jennifer S Mindell
Journal:  BMJ Open       Date:  2020-09-03       Impact factor: 2.692

2.  Performance of Cystatin C-Based Equations for Estimation of Glomerular Filtration Rate in Diabetes Patients: A Prisma-Compliant Systematic Review and Meta-Analysis.

Authors:  Amanda Veiga Cheuiche; Marina Queiroz; André Luis Ferreira Azeredo-da-Silva; Sandra Pinho Silveiro
Journal:  Sci Rep       Date:  2019-02-05       Impact factor: 4.379

3.  Identification of serum metabolites associating with chronic kidney disease progression and anti-fibrotic effect of 5-methoxytryptophan.

Authors:  Dan-Qian Chen; Gang Cao; Hua Chen; Christos P Argyopoulos; Hui Yu; Wei Su; Lin Chen; David C Samuels; Shougang Zhuang; George P Bayliss; Shilin Zhao; Xiao-Yong Yu; Nosratola D Vaziri; Ming Wang; Dan Liu; Jia-Rong Mao; Shi-Xing Ma; Jin Zhao; Yuan Zhang; You-Quan Shang; Huining Kang; Fei Ye; Xiao-Hong Cheng; Xiang-Ri Li; Li Zhang; Mei-Xia Meng; Yan Guo; Ying-Yong Zhao
Journal:  Nat Commun       Date:  2019-04-01       Impact factor: 14.919

4.  The Performance of Equations That Estimate Glomerular Filtration Rate against Measured Urinary Creatinine Clearance in Critically Ill Patients.

Authors:  Hasan M Al-Dorzi; Abdulmajeed A Alsadhan; Ayman S Almozaini; Ali M Alamri; Hani Tamim; Musharraf Sadat; Lolowa Al-Swaidan; Elwaleed Elhassan; Yaseen M Arabi
Journal:  Crit Care Res Pract       Date:  2021-05-18

Review 5.  Advances in the Progression and Prognosis Biomarkers of Chronic Kidney Disease.

Authors:  Zhonghong Yan; Guanran Wang; Xingyang Shi
Journal:  Front Pharmacol       Date:  2021-12-21       Impact factor: 5.810

6.  Forecasting of Patient-Specific Kidney Transplant Function With a Sequence-to-Sequence Deep Learning Model.

Authors:  Elisabet Van Loon; Wanqiu Zhang; Maarten Coemans; Maarten De Vos; Marie-Paule Emonds; Irina Scheffner; Wilfried Gwinner; Dirk Kuypers; Aleksandar Senev; Claire Tinel; Amaryllis H Van Craenenbroeck; Bart De Moor; Maarten Naesens
Journal:  JAMA Netw Open       Date:  2021-12-01

7.  Urinary metabolite profiling and risk of progression of diabetic nephropathy in 2670 individuals with type 1 diabetes.

Authors:  Stefan Mutter; Erkka Valo; Viljami Aittomäki; Kristian Nybo; Lassi Raivonen; Lena M Thorn; Carol Forsblom; Niina Sandholm; Peter Würtz; Per-Henrik Groop
Journal:  Diabetologia       Date:  2021-10-22       Impact factor: 10.122

8.  Direct Measurement of Creatinine Clearance over a Short Interval in Intensive Care Settings.

Authors:  Lawrence Sc Law; Elaine Ag Lo; Siang F Yeoh
Journal:  Indian J Crit Care Med       Date:  2021-07

9.  Impact of errors of creatinine and cystatin C equations in the selection of living kidney donors.

Authors:  Ana González-Rinne; Sergio Luis-Lima; Beatriz Escamilla; Natalia Negrín-Mena; Ana Ramírez; Adelaida Morales; Nicanor Vega; Patricia García; Elisa Cabello; Domingo Marrero-Miranda; Ana Aldea-Perona; Alejandra Alvarez; María Del Carmen Abad; Lourdes Pérez-Tamajón; Federico González-Rinne; Alejandra González-Delgado; Laura Díaz Martín; Alejandro Jiménez-Sosa; Armando Torres; Esteban Porrini
Journal:  Clin Kidney J       Date:  2019-03-18

10.  Association between serum Cystatin C and renal injury in patients with chronic hepatitis B.

Authors:  Hui Zheng; Haidong Liu; Anhua Hao; Min Zhang; Dexin Wang
Journal:  Medicine (Baltimore)       Date:  2020-08-07       Impact factor: 1.817

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