» Articles » PMID: 34481470

Applicability of Creatinine-based Equations for Estimating Glomerular Filtration Rate in Elderly Chinese Patients

Overview
Journal BMC Geriatr
Publisher Biomed Central
Specialty Geriatrics
Date 2021 Sep 5
PMID 34481470
Citations 11
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The accuracy of the estimated glomerular filter rate (eGFR) in elderly patients is debatable. In 2020, a new creatinine-based equation by European Kidney Function Consortium (EKFC) was applied to all age groups. The objective of this study was to assess the appropriateness of the new EKFC equation with Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), Lund-Malmö Revised (LMR), Berlin Initiative Study 1 (BIS1), and full age spectrum (FAS) equations based on serum creatinine (SCR) for elderly Chinese patients.

Methods: A total of 612 elderly patients with a measured glomerular filtration rate (mGFR) by the dual plasma sample clearance method with Technetium-99 m-diethylenetriamine-pentaacetic acid (Tc-99 m-DTPA) were divided into four subgroups based on age, sex, mGFR, and whether combined with diabetes. The performance of GFR was assessed while considering bias, precision, accuracy, and root-mean-square error (RMSE). Bland-Altman plots, concordance correlation coefficients (CCCs), and correlation coefficients were applied to evaluate the validity of eGFR.

Results: The median age of the 612 participants was 73 years, and 386 (63.1%) were male. Referring to mGFR (42.1 ml/min/1.73 m), the CKD-EPI, LMR, BIS1, FAS, and EKFC equations estimated GFR at 44.4, 41.1, 43.6, 41.8 and 41.9 ml/min/1.73 m, respectively. Overall, the smallest bias was found for the BIS1 equation (- 0.050 vs. range - 3.015 to 0.795, P<0.05, vs. the CKD-EPI equation). Regarding P30, interquartile range (IQR), RMSE, and GFR category misclassification, the BIS1 equation generally performed more accurately than the other eqs. (73.9%, 12.7, 12.9, and 35.3%, respectively). Nevertheless, no equation achieved optimal performance for the mGFR≥60 ml/min/1.73 m subgroup. Bland-Altman analysis showed the smallest mean difference (- 0.3 ml/min/1.73 m) for the BIS1 equation when compared to the other equations.

Conclusions: This study suggested that the BIS1 equation was the most applicable for estimating GFR in Chinese elderly patients with moderate to severe renal impairment.

Citing Articles

Advancements in Managing Choledocholithiasis and Acute Cholangitis in the Elderly: A Comprehensive Review.

Chen G, Sha Y, Wang K, Tang R, Zhai Z, Wang Z Cureus. 2025; 17(2):e78492.

PMID: 40051943 PMC: 11884421. DOI: 10.7759/cureus.78492.


Renal function assessment in older people: comparative analysis of estimation equation with serum creatinine.

Peruzzo S, Ottaviani S, Tagliafico L, Muzyka M, Ponzano M, Marelli C Front Med (Lausanne). 2024; 11:1477500.

PMID: 39697206 PMC: 11652175. DOI: 10.3389/fmed.2024.1477500.


Comparative Determination of Glomerular Filtration Rate Estimation Formulae in Type 2 Diabetic Patients: An Observational Study.

Ofori E, Nketiah-Dwomo I, Tagoe E, Amponsah S, Adams I, Yaw Nyarko E Biomed Res Int. 2024; 2024:9532236.

PMID: 38903148 PMC: 11189678. DOI: 10.1155/2024/9532236.


Comparison of EKFC, Pakistani CKD-EPI and 2021 Race-Free CKD-EPI creatinine equations in South Asian CKD population: A study from Pakistani CKD community cohort.

Safdar A, Akram W, Khan M, Tahir D, Butt M PLoS One. 2024; 19(3):e0300428.

PMID: 38512913 PMC: 10956795. DOI: 10.1371/journal.pone.0300428.


Comparison of three creatinine-based equations to predict adverse outcome in a cardiovascular high-risk cohort: an investigation using the SPRINT research materials.

Emrich I, Pickering J, Gotzinger F, Kramann R, Kunz M, Lauder L Clin Kidney J. 2024; 17(2):sfae011.

PMID: 38313686 PMC: 10836528. DOI: 10.1093/ckj/sfae011.


References
1.
Pottel H, Delanaye P, Schaeffner E, Dubourg L, Eriksen B, Melsom T . Estimating glomerular filtration rate for the full age spectrum from serum creatinine and cystatin C. Nephrol Dial Transplant. 2017; 32(3):497-507. PMC: 5837496. DOI: 10.1093/ndt/gfw425. View

2.
Bjork J, Grubb A, Sterner G, Nyman U . Revised equations for estimating glomerular filtration rate based on the Lund-Malmö Study cohort. Scand J Clin Lab Invest. 2011; 71(3):232-9. DOI: 10.3109/00365513.2011.557086. View

3.
Changjie G, Xusheng Z, Feng H, Shuguang Q, Jianwen L, Junzhou F . Evaluation of glomerular filtration rate by different equations in Chinese elderly with chronic kidney disease. Int Urol Nephrol. 2016; 49(1):133-141. DOI: 10.1007/s11255-016-1359-z. View

4.
Vinge E, Lindergard B, Nilsson-Ehle P, Grubb A . Relationships among serum cystatin C, serum creatinine, lean tissue mass and glomerular filtration rate in healthy adults. Scand J Clin Lab Invest. 2000; 59(8):587-92. DOI: 10.1080/00365519950185076. View

5.
Levey A, Bosch J, Lewis J, Greene T, Rogers N, Roth D . A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med. 1999; 130(6):461-70. DOI: 10.7326/0003-4819-130-6-199903160-00002. View