四川大学学报（医学版）2012，Vol.43Issue(1)：104-107,117,5.
基于血清半胱氨酸蛋白酶抑制剂C的肾小球滤过率预测模型的建立及评价
Estimating Glomerular Filtration Rate Based on Serum Cystatin C
摘要
Abstract
Objective To develop an estimating formula for glomerular filtration Rate (GFR) based on serum cystatin C in patients with chronic kidney disease (CKD). Methods Clinical characteristics of 242 CKD patients were collected. The patients were randomly divided into modeling group and model validation group. The rGFR obtained from 99mTc-DTPA clearance rate was used as a reference value of GFR. S-cystatin C was detected by latex enhanced immunoturbidimetric method. Preliminary linear regression analysis followed by multiple linear regression were performed to investigate the association between s-cystatin C and rGFR. The validity of the estimation formula was tested in the model validation group in comparison with Hoek formula and Orebro formula. Results With standardised countdown conversion, s-cystatin showed linear correlation with rGFR, with a correlation coefficient of 0. 773. The multiple correlation coefficient, determination coefficient, adjusted R square and std. Error of the estimation model were 0. 863, 0. 745, 0. 742, and 0. 207, respectively. The residuals P-P probability plot analysis showed that the model residuals fitted into normal distribution with homogeneity of variance. The formula was: eGFR = 67/s-cystatin C +3. No significant difference was found between the distribution of eGFR and rGFR. Our formula had an accuracy of 30% and 50%, which were no less than those obtained from Hoek formula and Orebro formula. The new formula also had acceptable bias and high precision. The Bland-Altman analysis and ROC curve analysts showed good applicability of the new formula. Conclusion The GFR prediction formula we established has a good prediction performance as comparised with other formulae, which could be used in measuring GFR in CKD patients.关键词
慢性肾脏病/肾小球滤过率/Cystatin CKey words
Chronic/kidney/disease/Glomerular/filtration/rate/Cystatin/C引用本文复制引用
吕瑞雪,李一松,黄亨建,彭志英,应斌武,安振梅..基于血清半胱氨酸蛋白酶抑制剂C的肾小球滤过率预测模型的建立及评价[J].四川大学学报（医学版）,2012,43(1):104-107,117,5.基金项目
国家自然科学基金(批准号30900658,81100303)资助 （批准号30900658,81100303）
