Creatinine- vs. cystatin C-based equations compared with 99mTcDTPA scintigraphy to assess glomerular filtration rate in chronic kidney disease

被引:20
作者
Trimarchi, Hernan [1 ]
Muryan, Alexis [2 ]
Martino, Diana [3 ]
Toscano, Agostina [2 ]
Iriarte, Romina [1 ]
Campolo-Girard, Vicente [1 ]
Forrester, Mariano [1 ]
Pomeranz, Vanesa [1 ]
Fitzsimons, Clara [3 ]
Lombi, Fernando [1 ]
Young, Pablo [4 ]
Rana, Maria S. [1 ]
Alonso, Mirta [2 ]
机构
[1] British Hosp Buenos Aires, Dept Nephrol, Buenos Aires, DF, Argentina
[2] British Hosp Buenos Aires, Cent Lab, Buenos Aires, DF, Argentina
[3] British Hosp Buenos Aires, Dept Nucl Med, Buenos Aires, DF, Argentina
[4] British Hosp Buenos Aires, Dept Clin Med, Buenos Aires, DF, Argentina
关键词
Chronic kidney disease; Creatinine; Cystatin C; Glomerular filtration rate; Tc-99m-DTPA scintigraphy; COCKCROFT-GAULT EQUATIONS; SERUM CREATININE; RENAL-FUNCTION; ENDOGENOUS MARKER; PLASMA CREATININE; S-CREATININE; GFR; COMBINATION; PREDICTION; FORMULA;
D O I
10.5301/jn.5000083
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: In chronic kidney disease (CKD), accurate estimation of the glomerular filtration rate (GFR) is mandatory. Gold standard methods for its estimation are expensive and time-consuming. We compared creatinine-versus cystatin C-based equations to measure GFR, employing Tc-99m-DTPA scintigraphy as the gold standard. Methods: This was a prospective cross-sectional observational study including 300 subjects. CKD was defined according to K/DOQI guidelines, and patients were separated into groups: stage 1 (G1), n=26; stage 2 (G2), n=52; stage 3 (G3), n=90; stage 4 (G4), n=37; stage 5 (G5), n=60; and control group, n=35. Creatinine-based estimates were from 24-hour creatinine clearance using the Walser formula, Cockcroft-Gault, MDRD-4 and CKD-EPI; cystatin C equations used were Larsson, Larsson modified equation, Grubb and Hoek. Results: Age and body mass index were different among groups; proteinuria, hypertension, diabetes and primary glomerulopathies significantly increased as CKD worsened. In the global assessment, CKD-EPI and Hoek gave the highest correlations with Tc-99m-DTPA: rho=0.826, p<0.001 and rho=0.704, p<0.001, respectively. Most significant linear regressions obtained: CKD-EPI vs. Tc-99m-DTPA, Hoek vs. Tc-99m-DTPA and CKD-EPI vs. Hoek. However, important differences emerged when each group was analyzed separately. Best significant correlations obtained with Tc-99m-DTPA: control group, creatinine clearance rho=0.421, p=0.012; G1, CrockoftGault rho=0.588, p=0.003; G2, CKD-EPI rho=0.462, p<0.05; G3, CKD-EPI rho=0.508, p<0.001; G4, Hoek rho=0.618, p<0.001; G5, CKD-EPI rho=0.604, p<0.001. Conclusions: At GFR <60 ml/min, CKD-EPI and Hoek equations appeared to best correlate with (99m)TcDTPA. In controls and at early stages of CKD, creatinine-based equations correlated better with Tc-99m-DTPA, with CKD-EPI being the one with the best degree of agreement.
引用
收藏
页码:1003 / 1015
页数:13
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