MDRD or CKD-EPI study equations for estimating prevalence of stage 3 CKD in epidemiological studies: which difference? Is this difference relevant?
MDRD or CKD-EPI study equations for estimating prevalence of stage 3 CKD in epidemiological studies: which difference? Is this difference relevant?
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DOI：
10.1186/1471-2369-11-8
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发表时间：
2010-06-01
期刊：
影响因子：
2.3
通讯作者：
Krzesinski JM
中科院分区：
文献类型：
--
作者：
Delanaye P;Cavalier E;Mariat C;Maillard N;Krzesinski JM
根据NHANES研究，3期慢性肾脏病（CKD）的患病率正在增加。使用MDRD研究公式估算肾小球滤过率（GFR）计算患病率。最近，一个新的估计肌酐的基础上，CKD-EPI方程，已被提出，这是假定更好地执行在正常的GFR范围。本研究的目的是使用MDRD或CKD-EPI研究方程测量人群中3期CKD患病率的差异。CKD筛查在比利时列日省组织。在自愿的基础上，45至75岁的人被邀请接受检查。通过MDRD研究方程和“新”CKD-EPI方程估计GFR。接受筛查的人口为1992人（男性占47%）。平均血清肌酐为0.86 ± 0.20 mg/dL。使用MDRD或CKD-EPI方程，该人群中3期CKD的患病率分别为11.04%和7.98%。MDRD研究方程中3期CKD的患病率显著较高（p <0.0012）。根据用于估计GFR、MDRD或CKD-EPI研究方程的方法，3期CKD的患病率变化很大。这种差异是重要的，必须通过使用参考方法测量的GFR的额外研究来证实和解释。
Prevalence of stage 3 chronic kidney disease (CKD) is increasing according to the NHANES study. Prevalence has been calculated using the MDRD study equation for estimating glomerular filtration rate (GFR). Recently, a new estimator based on creatinine, the CKD-EPI equation, has been proposed which is presumed to better perform in normal GFR ranges. The aim of the study was to measure the difference in prevalence of stage 3 CKD in a population using either the MDRD or the CKD-EPI study equations. CKD screening is organized in the Province of Liège, Belgium. On a voluntary basis, people aged between 45 and 75 years are invited to be screened. GFR is estimated by the MDRD study equation and by the "new" CKD-EPI equations. The population screened consisted in 1992 people (47% of men). Mean serum creatinine was 0.86 ± 0.20 mg/dL. The prevalence of stage 3 CKD in this population using the MDRD or the CKD-EPI equations was 11.04 and 7.98%, respectively. The prevalence of stage 3 CKD is significantly higher with the MDRD study equation (p < 0,0012). Prevalence of stage 3 CKD varies strongly following the method used for estimating GFR, MDRD or CKD-EPI study equations. Such discrepancies are of importance and must be confirmed and explained by additional studies using GFR measured with a reference method.
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影响因子：
6.1
作者：
Douville, Pierre;Martel, Ariane R.;Agharazii, Mohsen
通讯作者：
Agharazii, Mohsen
影响因子：
13.6
作者：
Hallan, Stein I.;Coresh, Josef;Holmen, Jostein
通讯作者：
Holmen, Jostein
影响因子：
39.2
作者：
Levey, Andrew S.;Coresh, Josef;Van Lente, Frederick
通讯作者：
Van Lente, Frederick
影响因子：
120.7
作者：
Coresh, Josef;Selvin, Elizabeth;Levey, Andrew S.
通讯作者：
Levey, Andrew S.
影响因子：
39.2
作者：
Levey AS;Stevens LA;Schmid CH;Zhang YL;Castro AF 3rd;Feldman HI;Kusek JW;Eggers P;Van Lente F;Greene T;Coresh J;CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration)
通讯作者：
CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration)