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The MDRD equation underestimates the prevalence of CKD among blacks and overestimates the prevalence of CKD among whites compared to the CKD-EPI equation: a retrospective cohort study
© Arora et al; licensee BioMed Central Ltd. 2012
- Received: 23 May 2011
- Accepted: 20 January 2012
- Published: 20 January 2012
Black individuals are far more likely than white individuals to develop end stage renal disease (ESRD). However, earlier stages of chronic kidney disease (CKD) have been reported to be less prevalent among blacks. This disparity remains poorly understood. The objective of this study was to evaluate whether the lower prevalence of CKD among blacks in early stages of CKD might be due in part to an inability of the MDRD equation to accurately determine early stages of CKD in both the black and white population.
We conducted a retrospective cohort study of 97, 451 patients seen in primary care clinic in Veterans Integrated Service Network 2 (VISN 2) over a 7 year period to determine the prevalence of CKD using both the Modification of Diet in Renal Disease (MDRD) Study equation and the more recently developed CKD Epidemiology Collaboration (CKD-EPI) equation. Demographic data, comorbid conditions, prescription of medications, and laboratory data were recorded. Logistic regression and quantile regression models were used to compare the prevalence of estimated glomerular filtration rate (eGFR) categories between black and white individuals.
The overall prevalence of CKD was lower when the CKD-EPI equation was used. Prevalence of CKD in whites was 53.2% by MDRD and 48.4% by CKD-EPI, versus 34.1% by MDRD and 34.5% by CKD-EPI in blacks. The cumulative logistic regression and quantile regression showed that when eGFR was calculated by the EPI method, blacks were as likely to present with an eGFR value less than 60 mL/min/1.73 m2 as whites. Using the CKD-EPI equation, blacks were more likely than white individuals to have stage 3b, 4 and 5 CKD. Using the MDRD method, the prevalence in blacks was only higher than in whites for stage 4 and 5 CKD. Similar results were obtained when the analysis was confined to patients over 65 years of age.
The MDRD equation overestimates the prevalence of CKD among whites and underestimates the prevalence of CKD in blacks compared to the CKD-EPI equation.
- Chronic Kidney Disease
- Quantile Regression
- White Individual
- Quantile Regression Model
- Serum Creatinine Measurement
The incidence and prevalence of both CKD and ESRD in the United States continue to increase . Age-adjusted ESRD rates are much higher for black individuals than white individuals (998 versus 273 per million) . This disparity persists even after controlling for hypertension, diabetes, demographic characteristics, socioeconomic status and access to health care [3, 4]. However studies have shown that the prevalence of early stages of CKD is lower in the black population. The Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, a nationally representative sample of individuals 45 years and older revealed that estimated GFR < 60 ml/min/1.73 m2 was present in 49.9% of white participants compared to 33.7% of blacks . The National Health and Nutrition Examination Survey (NHANES) III showed similar results . Thus the relationship of the racial prevalence of CKD to ESRD is complex, and not dependent solely on the prevalence of CKD.
These previous studies used a single serum creatinine measurement to determine the estimated GFR, the presence or absence of CKD, and its staging. The Kidney Disease Outcomes Quality Initiative (KDOQI) definition of CKD requires the determination of at least 2 serum creatinine measurements 3 months apart to document the presence of CKD . The above studies also employed the MDRD equation for determining eGFR, which has been shown to underestimate GFR at higher values [7–9]. The CKD-EPI equation was developed as a more accurate determination of the GFR  and has been found to correlate better with long term risk of end-stage renal disease and mortality in a middle aged population . We determined the prevalence of different stages of CKD using both the MDRD and CKD-EPI equations among the black versus white Veteran population in Veterans Integrated Service Network 2 (VISN 2), a large cohort consisting of all Veteran patients in central and western New York, and compared the use of two versus one serum creatinine in these equations. The objective of this study was to determine whether the lower prevalence of CKD among blacks in early stages of CKD might be due in part to an inability of the MDRD equation to accurately determine early stages of CKD in both the black and white population.
Demographics of final sample
p value for difference
Total # of Patients with ≥ 2 Labs
Per Capita Income ($)
20,000 - 25,000
25,000 - 30,000
Definitions and equations
Age was re-calculated at each serum creatinine measurement as the difference in years between the date of serum creatinine measurement and the date of birth. Patients were stratified based on GFR estimated by MDRD and CKD-EPI formulae.
The re-expressed MDRD  formula used was: eGFR = 175 × (Scr)-1.154 × age-0.203 × 0.742 (if female) × 1.212 (if black), where Scr is serum creatinine in mg/dl and age is expressed in years.
The CKD-EPI  formula used was: eGFR = 141 × min(Scr/k, 1)α × max(Scr/k, 1)-1.209 × 0.993Age × 1.018(if female) × 1.159 (if black), where Scr is serum creatinine in mg/dl, k is 0.7 for females and 0.9 for males, α is -0.329 for females and -0.411 for males, min indicates the minimum of Scr/k or 1, and max indicates the maximum of Scr/k or 1.
Prevalence was calculated as the ratio of patients with CKD to the total number of patients with at least two eGFR measurements in the duration of follow up. Patients with only one measurement were excluded. CKD was classified into stages based on the KDOQI guidelines  and National Institute for Health and Clinical Excellence (NICE) guidelines  as follows: stage 3a: GFR 45-59 ml/min per 1.73 m2, stage 3b: GFR 30-44 ml/min per 1.73 m2, stage 4: GFR 15-29 ml/min per 1.73 m2, and stage 5: GFR < 15 ml/min per 1.73 m2.
The first recorded creatinine value was used as the index creatinine. CKD stages were stratified based on the index creatinine when only one value of creatinine was used. The stratification into the stages based on the 2 values was done only if both the eGFRs were less than 60 ml/min/1.73 m2 (minimum time before 2nd measurement was 3 months). If the subsequent eGFR was more than 60 ml/min per 1.73 m2 the patient was not considered to have CKD.
Descriptive statistics were produced for the overall population and for the black and white groups separately. The descriptive statistics included patient demographics (age, gender, marital status, per capita income group), clinical variables (BMI, HDL-C, LDL-C, triglycerides) and comorbid conditions: MI, CAD, CHF, PVD, COPD, depression, cancer, diabetes, dyslipidemia, and hypertension). Proportions of patients with the above characteristics in different eGFR categories were compared using χ2 test. Logistic regression was used to determine the effects of baseline characteristics on CKD condition as well as on classification in a particular eGFR category with ≥ 90 ml/min per 1.73 m2 as the reference category. The two methods (EPI and MDRD) of calculation of eGFR were compared using the Cronbach's alpha measure.
Racial differences were explored in several other ways. First we ran individual logistic regressions of each eGFR category with the ≥ 60 mL/min/1.73 m2 category as the reference level. We computed both unadjusted and adjusted odds ratios for blacks. Next we ran the cumulative logistic regressions comparing patients at a given level of eGFR with patients above that level. Again we computed both unadjusted and adjusted odds ratios for the African-American group. The adjusted model included age, gender, COPD, cerebrovascular event, depression, cancer, diabetes, dyslipidemia, hypertension, BMI group, presence of any vascular disease and proteinuria. As the distribution of patients, especially blacks, was not normal, and we were interested in the lower end of the distribution of eGFR, quantile regression models were built to examine the change in the race parameter over different percentiles. These models adjusted for the same variables used in the logistic regression models but also included a fourth-order polynomial of age. As there were significant age differences between whites and blacks, sensitivity analyses were done for patients above age 65 years. All the analyses were performed using SAS 9.2 (SAS Institute, Cary, NC). Statistical significance was set α = 0.05.
Patients with CKD (eGFR < 60 ml/min by CKD-EPI) with various comorbidities
Total # of Patients with ≥ 2 Labs
Any Vascular Disease
HDL < 40 mg/dL
LDL > 100 mg/dL
TG > 200 mg/dL
Racial difference (Black vs. White) in eGFR distribution and odds ratio in cumulative logistic model
≤ 89 Vs. ≥ 90
0.629 (0.595 to 0.665)
0.404 (0.382 to 0.427)
≤ 59 Vs. ≥ 60
1.057 (0.981 to 1.139)
0.669 (0.623 to 0.72)
≤ 44 Vs. ≥ 45
1.238 (1.114 to 1.376)
1.061 (0.951 to 1.184)
≤ 29 Vs. ≥ 30
1.616 (1.378 to 1.895)
1.498 (1.267 to 1.771)
< 15 Vs. ≥ 15
3.171 (2.458 to 4.09)
3.062 (2.35 to 3.989)
We studied the prevalence of different stages of CKD among blacks and whites in > 180,000 patients who were seen in primary care clinic at VISN2, using MDRD and CKD-EPI equations. The cumulative logistic regression adjusted for age and other comorbidities showed that when eGFR was calculated by the CKD- EPI method, blacks were as likely as whites to present with an eGFR value less than 60 mL/min/1.73 m2. Using the CKD-EPI equation, blacks were more likely than white individuals to have stage 3b, 4 and 5 CKD. When eGFR was calculated by the MDRD method, the results were similar for values below 30 mL/min/1.73 m2. There was considerable difference between the two methods above this value. Similar results were also shown when quantile regression was used or analysis was confined to patients above age 65 years.
It is well established that the risk for ESRD is higher in black than white individuals, yet earlier stages of CKD have been found to be more prevalent in whites [1–5, 14, 15]. Clase et. al. examined the NHANES III database and found that the prevalence rate of CKD (eGFR < 60 ml/min/1.73 m2 by the original MDRD equation ) in non-diabetic black males, black females, white males, and white females was 4.2%, 6.2%, 9.2%, and 17.8%, respectively . Coresh et.al. evaluated the NHANES III database including diabetic individuals and found a prevalence of eGFR < 60 ml/min per 1.73 m2 in 3.4% of black participants and 5.0% in white participants using a single measurement of serum creatinine in the simplified MDRD study equation . In REGARDS, McClellan et. al. found that the prevalence of an eGFR < 60 ml/min per 1.73 m2 was 33.7% in black patients and 49.9% in white patients using a single serum creatinine . They examined the prevalence at different deciles of eGFR and using eGFR > 60 ml/min per 1.73 m2as the reference, found that the odds ratio for a low eGFR in blacks compared to whites increased as kidney function declined, with an odds ratio of .46 for eGFR 50 to 59 ml/min per 1.73 m2 to an odds ratio of 2.56 for an eGFR of 10-20 ml/min per 1.73 m2. This relationship held true even after adjusting for age, gender, diabetes, hypertension, history of myocardial infarction or stroke, smoking status, and region of the country.
This inconsistency in prevalence between blacks and whites in early CKD versus ESRD remains unexplained. Several factors which have been proposed to explain this [3, 4, 14, 18–29]. There may be more rapid progression of CKD in blacks due to less effective treatment of modifiable risk factors affecting the progression of CKD [18–22] or differences in genetic [23, 24] and environmental  factors. Black patients with CKD may have a lower death rate and be more likely to reach ESRD. Newsome et al found that in a large cohort of CKD patients who had suffered a myocardial infarction, black patients had better survival after 3 years . However, NHANES III data showed that black individuals with CKD under 65 years of age were more likely to die than white individuals, but there was no difference seen in individuals over 65 years of age . Likewise, a study using the VA national database showed a higher mortality for black patients versus white patients at all levels of baseline GFR . We did not examine mortality in this study.
Blacks may have higher prevalence of ESRD relative to CKD because they present to the health care system later in the course of kidney disease , we found no difference in baseline CKD-EPI eGFRs at time of entry to the VA system between black and white individuals (Figure 3). There may be differences in quality of care given to blacks compared to whites. A study showed decreased use of cardiovascular procedures in minorities which may affect morbidity and mortality from cardiovascular events . However, a study of treatment regimens for CKD in the Department of Defense found similar compliance of care for stage 3 and 4 CKD in black and white individuals .
Another explanation for lower prevalence of CKD among the black population could be the lack of accurate tools to estimate GFR. The MDRD equation was derived from a large study of patients with chronic renal disease  which includes a correction factor of 20.5% for blacks for the same creatinine level compared to whites. This equation is widely used in clinical laboratories to estimate GFR. However it has been shown that this equation tends to underestimate GFR in healthy individuals [7, 8]. The CKD-EPI equation was derived more recently in an attempt to rectify the fact that the MDRD equation underestimated measured GFR at higher values . This equation was found to be more accurate than the MDRD equation, especially at higher GFRs. The sample populations used to develop the CKD-EPI equation and the MDRD equation had a limited number of elderly patients. However, the CKD-EPI population included 32% blacks compared to only 15% in the MDRD sample population. So it may be possible that CKD-EPI is a better equation for GFR estimation in blacks. Delanaye et. al. recently found a prevalence of stage 3 CKD of 11.04% using the MDRD equation versus 7.98% using the CKD-EPI equation in a screen of 1992 individuals . Their study used a single creatinine measurement to define CKD and there were no black patients in their study population.
In the present study, when GFR was determined by CKD-EPI compared to MDRD, we found that the prevalence of earlier stages of CKD was not different in blacks compared to whites. Additional file 1 Table 4 shows why there were significant differences in classification of stages of CKD using the 2 formulas. The patients who were initially classified in different eGFR categories by CKD-EPI method were reclassified again by applying MDRD equation. In the overall patient group, 44.4% of patients who were classified into the > 90 ml/min per 1.73 m2 eGFR group by CKD-EPI were re-classified by MDRD to the lower eGFR category of 60-89 ml/min per 1.73 m2. The overall difference in the prevalence of patients falling in to the 60-89 ml/min per 1.73 m2 eGFR group increased by about 3.4% by using CKD-EPI (5.7% - 2.3% = 3.4%). The most noticeable finding was a large increase in the number of black individuals found to have stage 3a CKD (17% higher) when determined by CKD-EPIwho were classified to a no-CKD category (eGFR of 60-89 ml/min per 1.73 m2) by MDRD method. The number of white patients classified as stage 3a did not change. Similarly, 6% of the whites who were initially classified into an eGFR of 60-89 ml/min per 1.73 m2 (No-CKD category) by CKD-EPI method were reclassified to an eGFR category of 45-59 ml/min per 1.73 m2 (CKD stage 3a) by MDRD method. These observations suggest that the lower prevalence of CKD among black individuals is due to underestimation of earlier stages of CKD in blacks and overestimation of earlier stages of CKD among whites by MDRD method.
There are certain limitations to this study. First, we have not directly measured GFR. Proteinuria was not included in the evaluation, but this would be more critical to a study of progression rather than classification of CKD. Although the VHA is the largest integrated health care system in United States and utilizes a uniform data collection system, this is a retrospective study and some patients had to be excluded due to lack of information about gender and race. The study was done on individuals in the VA system, and therefore may not be applicable to the general population.
This the first report of the racial prevalence of CKD in a large VA cohort using 2 serum creatinine measurements and employing the CKD-EPI equation to estimate GFR. Using an adjusted regression model, we found no difference in the prevalence of earlier stages of CKD in black individuals relative to white individuals. We found that the previously described higher prevalence of early stage CKD in whites may be accounted for by differences in classification of stages of CKD by the MDRD equation relative to the more recently derived CKD-EPI equation. The finding that the prevalence of early CKD is similar between the two races does not fully explain why ESRD is more prevalent in blacks. Further studies will be required to understand why this racial disparity persists.
This work was supported by a grant from the National Kidney Foundation of Western New York.
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