Applicability of Creatinine-based equations for estimating glomerular filtration rate in elderly Chinese patients

被引:22
作者
Xia, Fangxiao [1 ,2 ]
Hao, Wenke [1 ]
Liang, Jinxiu [1 ,2 ]
Wu, Yanhua [1 ]
Yu, Feng [1 ]
Hu, Wenxue [1 ]
Zhao, Zhi [1 ]
Liu, Wei [1 ,2 ]
机构
[1] Guangdong Acad Med Sci, Guangdong Prov Geriatr Inst, Guangdong Prov Peoples Hosp, Dept Nephrol, Guangzhou 510080, Peoples R China
[2] Southern Med Univ, Sch Clin Med 2, Guangzhou 510515, Peoples R China
关键词
Elderly; Estimated GFR; Serum creatinine; Equation; SERUM CYSTATIN-C; KIDNEY-FUNCTION; PREDICTION; VALIDATION;
D O I
10.1186/s12877-021-02428-y
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
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-Malmo 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(2)), 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(2), 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(2) subgroup. Bland-Altman analysis showed the smallest mean difference (- 0.3 ml/min/1.73 m(2)) 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.
引用
收藏
页数:13
相关论文
共 40 条
[1]   STRUCTURE AND EXPRESSION OF THE HUMAN CYSTATIN-C GENE [J].
ABRAHAMSON, M ;
OLAFSSON, I ;
PALSDOTTIR, A ;
ULVSBACK, M ;
LUNDWALL, A ;
JENSSON, O ;
GRUBB, A .
BIOCHEMICAL JOURNAL, 1990, 268 (02) :287-294
[2]  
[Anonymous], 2013, Kidney Int. Suppl., V3, P1
[3]   Cystatin C as a predictor of mortality in elderly patients with chronic kidney disease [J].
Bevc, Sebastjan ;
Hojs, Nina ;
Knehtl, Masa ;
Ekart, Robert ;
Hojs, Radovan .
AGING MALE, 2019, 22 (01) :62-67
[4]   Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017 [J].
Bikbov, Boris ;
Purcell, Carrie ;
Levey, Andrew S. ;
Smith, Mari ;
Abdoli, Amir ;
Abebe, Molla ;
Adebayo, Oladimeji M. ;
Afarideh, Mohsen ;
Agarwal, Sanjay Kumar ;
Agudelo-Botero, Marcela ;
Ahmadian, Elham ;
Al-Aly, Ziyad ;
Alipour, Vahid ;
Almasi-Hashiani, Amir ;
Al-Raddadi, Rajaa M. ;
Alvis-Guzman, Nelson ;
Amini, Saeed ;
Andrei, Tudorel ;
Andrei, Catalina Liliana ;
Andualem, Zewudu ;
Anjomshoa, Mina ;
Arabloo, Jalal ;
Ashagre, Alebachew Fasil ;
Asmelash, Daniel ;
Ataro, Zerihun ;
Atout, Maha Moh'd Wahbi ;
Ayanore, Martin Amogre ;
Badawi, Alaa ;
Bakhtiari, Ahad ;
Ballew, Shoshana H. ;
Balouchi, Abbas ;
Banach, Maciej ;
Barquera, Simon ;
Basu, Sanjay ;
Bayih, Mulat Tirfie ;
Bedi, Neeraj ;
Bello, Aminu K. ;
Bensenor, Isabela M. ;
Bijani, Ali ;
Boloor, Archith ;
Borzi, Antonio M. ;
Camera, Luis Alberto ;
Carrero, Juan J. ;
Carvalho, Felix ;
Castro, Franz ;
Catala-Lopez, Ferran ;
Chang, Alex R. ;
Chin, Ken Lee ;
Chung, Sheng-Chia ;
Cirillo, Massimo .
LANCET, 2020, 395 (10225) :709-733
[5]   GFR estimation based on standardized creatinine and cystatin C: a European multicenter analysis in older adults [J].
Bjork, Jonas ;
Back, Sten Erik ;
Ebert, Natalie ;
Evans, Marie ;
Grubb, Anders ;
Hansson, Magnus ;
Jones, Ian ;
Lamb, Edmund J. ;
Martus, Peter ;
Schaeffner, Elke ;
Sjostrom, Per ;
Nyman, Ulf .
CLINICAL CHEMISTRY AND LABORATORY MEDICINE, 2018, 56 (03) :422-435
[6]   Comparison of glomerular filtration rate estimating equations derived from creatinine and cystatin C: validation in the Age, Gene/Environment Susceptibility-Reykjavik elderly cohort [J].
Bjork, Jonas ;
Grubb, Anders ;
Gudnason, Vilmundur ;
Indridason, Olafur S. ;
Levey, Andrew S. ;
Palsson, Runolfur ;
Nyman, Ulf .
NEPHROLOGY DIALYSIS TRANSPLANTATION, 2018, 33 (08) :1380-1388
[7]   Revised equations for estimating glomerular filtration rate based on the Lund-Malmo Study cohort [J].
Bjork, Jonas ;
Grubb, Anders ;
Sterner, Gunnar ;
Nyman, Ulf .
SCANDINAVIAN JOURNAL OF CLINICAL & LABORATORY INVESTIGATION, 2011, 71 (03) :232-239
[8]   Application of GFR estimation equations in elderly patients with measured GFR below 60 mL/min/1.73 m2 [J].
Chen, Aiqun ;
Sun, Ying ;
Li, Wenchan ;
Yang, Jihong ;
Yao, Zhiming ;
Shi, Lei ;
Jia, Jing .
AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2020, 32 (03) :415-422
[9]   PREDICTION OF CREATININE CLEARANCE FROM SERUM CREATININE [J].
COCKCROFT, DW ;
GAULT, MH .
NEPHRON, 1976, 16 (01) :31-41
[10]   Serum cystatin C is superior to serum creatinine as a marker of kidney function: A meta-analysis [J].
Dharnidharka, VR ;
Kwon, C ;
Stevens, G .
AMERICAN JOURNAL OF KIDNEY DISEASES, 2002, 40 (02) :221-226