Comparison of cystatin C and creatinine-based estimated glomerular filtration rate equations among elderly chronic kidney disease patients attending a tertiary care hospital: A prospective cross-sectional study

被引:3
|
作者
Khan, Irfanullah [1 ,2 ]
Khan, Amer Hayat [1 ,2 ]
Adnan, Azreen Syazril [2 ]
Naqvi, Atta Abbas [4 ]
Rehman, Anees Ur [1 ]
Ahmad, Nafees [3 ]
Ishaqui, Azfar Athar [1 ]
Bitar, Ahmad Naoras [1 ]
机构
[1] Univ Sains Malaysia, Sch Pharmaceut Sci, Discipline Clin Pharm, George Town 11800, Malaysia
[2] Univ Sains Malaysia, Chron Kidney Dis Resource Ctr, Sch Med Sci, Hlth Campus, Kubang Kerain 16150, Kelantan, Malaysia
[3] Univ Balochistan, Fac Pharm & Hlth Sci, Quetta, Pakistan
[4] Imam Abdulrahman Bin Faisal Univ, Dept Pharm Practice, Coll Clin Pharm, Dammam, Saudi Arabia
关键词
creatinine; cystatin C; estimated GFR; GFR; EPIDEMIOLOGY COLLABORATION EQUATIONS; SERUM CREATININE; RENAL-DISEASE; VALUES; DIET; GFR;
D O I
10.5414/CN109573
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background: Serum creatinine has been solely used in clinical practice to identify chronic kidney disease (CKD) staging in the elderly population. Serum cystatin C is believed to more accurately define the CKD staging and is also ratified as an endogenous biomarker by Kidney Disease Improving Global Outcomes (KDIGO) guidelines. Material and methods: A total of 300 elderly Malay participants (age >= 65 years) with CKD, attending the Hospital University Sains Malaysia were included in the study. Demographic data and history were also recorded. Serum creatinine was assayed by Chemistry Analyzer Model Architect-C8000 (Jaffe method). While serum cystatin C was examined by Human cystatin C ELISA kit (Sigma-Aldrich) using Thermo Scientific Varioskan Flash ELISA reader. Results: Out of 300 study participants, 169 (56.3%) were females. Mean age of patients was 67.6 +/- 6.7 years. 64 male (64.6%) and 35 female (35.4%) patients were between 70 and 79 years. When estimated by MDRD equation, the prevalence of CKD stage 3 (defined as eGFR = 30 - 59 mL/min/1.73m(2)) was 27.7%, while based on CKD-EPIcr, CKD-EPIcys, and CKD-EPIcr-cys equations, it was 28%, 36.3%, and 36.3%, respectively. The prevalence of CKD stage 4 (defined as eGFR = 15 - 29 mL/min/1.73m(2)) when estimated by MDRD was 37.6%, whereas based on CKD-EPIcr, CKD-EPIcys, and CKD-EPIcr-cys equations, it was 36.3%, 46.4%, and 46.4%, respectively. CKD stage 5 (defined as eGFR < 15 mL/min/1.73m(2)) when estimated by the MDRD equation was 34.7%. While based on CKD-EPIcr, CKD-EPIcys, and CKD-EPIcr-cys equations, the prevalence of CKD stage 5 was 35.7%, 17.3%, and 17.3%, respectively. Conclusion: The staging of CKD is different between the creatininc- and cystatin C-based equations. Creatinine-based equations classify patients as having CKD stage 5 twice as often as cystatin C-based equations.
引用
收藏
页码:217 / 226
页数:10
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