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*Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, Maryland;
University of Texas Southwestern Medical Center at Dallas, Division of Nephrology, Department of Internal Medicine, Dallas, Texas;
Nephrology Division, Department of Medicine, Mount Sinai School of Medicine, and ***Lenox Hill Hospital, New York University School of Medicine, New York City, New York;
Department of Department of Internal Medicine, Charles R. Drew University, Los Angeles, California; ¶National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland; **Department of Preventive Medicine, Rush Presbyterian-St. Lukes Medical Center, Chicago, Illinois; 
Division of Hypertension, Department of Medicine, Case Western Reserve University School of Medicine, Cleveland; 
Department of Biostatistics and Epidemiology, Cleveland Clinic Foundation, Cleveland, Ohio; 
Department of Medicine, University of Michigan Health Systems, Ann Arbor, Michigan; ¶¶Division of Nephrology, Department of Medicine, Vanderbilt University, Nashville, Tennessee; 

Division of Nephrology, University of Alabama, Birmingham, Alabama.
Correspondence to Dr. Lawrence J. Appel, Professor of Medicine, Epidemiology, and International Health (Human Nutrition), Johns Hopkins Medical Institutions, 2024 East Monument Street, Suite 2-645, Baltimore, MD 21205-2223. Phone: 410-955-4156; Fax: 410-955-0476;
| Abstract |
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| Introduction |
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ESRD disproportionately affects African Americans. Although African Americans comprise only 13% of the general US population, 29% of incident ESRD cases in 1999 occurred in African Americans (1). After adjustment for age and gender, the incidence of all-cause ESRD is nearly four times greater in African Americans than in Caucasians (953 versus 237 cases per million in 1999). The corresponding incidence of hypertensive ESRD is over six times higher in African Americans than Caucasians (3187 versus 515 incident cases per 10 million). Two strategies that might prevent hypertensive ESRD are (1) use of anti-hypertensive medications that have renoprotective effects apart from their effects on BP, and (2) aggressive BP control, that is, a BP goal that is below current recommendations.
The African American Study of Kidney Disease and Hypertension (AASK) was a 2 x 3 factorial trial that tested these two strategies. Participants were 1094 African-American hypertensives, ages 18 to 70 yr, with a GFR of 20 to 65 ml/min per 1.73 m2, and no other apparent cause of renal insufficiency other than hypertension. Participants were randomized to a usual mean arterial pressure (MAP) goal of 102 to 107 mmHg or a low MAP goal of <92 mmHg, and to initial treatment with one of three anti-hypertensive study drugs: a sustained-release
-blocker (metoprolol), an angiotensin converting enzyme inhibitor (ACEI, ramipril), or a dihydropyridine calcium channel blocker (amlodipine). The primary outcome was GFR slope, as assessed by 125I-iothalamate clearance. A secondary renal outcome was a composite clinical outcome defined by the occurrence of a reduction in GFR by 50% or by 25-ml/min per 1.73 m2 from baseline, ESRD, or death.
Trial results have been published (2,3). In brief, the presence of even small amounts of proteinuria at baseline (urinary protein to creatinine ratio [UP/Cr] of >0.22) was associated with rapid progression of kidney disease. Despite a sustained 10 mmHg MAP difference between the two MAP groups, progression of kidney disease was similar in both groups. Ramipril compared with metoprolol appeared to slow renal disease progression independent of protein level, whereas ramipril and metoprolol slowed progression compared with amlodipine in patients with baseline UP/Cr >0.22.
These results have implications for the AASK Cohort Study, which is an extension of the AASK trial. First, the incidence of clinical outcomes and the progression of kidney disease was high, even in the group that received the most effective therapy. Specifically, in the ramipril group, the cumulative incidence of clinical outcomes was approximately 30% over 5 yr, and the average decline in GFR was 1.9 ml/min per 1.73 m2 per yr. This documented decline in renal function, which is roughly twice the average age-associated decline in GFR in the general population, highlights the importance of identifying factors other than BP that predict, if not determine, progression of hypertensive kidney disease. Second, of the three medications tested in AASK, ramipril had the most beneficial effects on kidney function. These results support provision of ramipril therapy to all participants in the AASK Cohort Study.
In view of these results, the primary objective of the AASK Cohort Study is to determine prospectively the long-term course of kidney function and risk factors for kidney disease progression in African Americans with hypertensive kidney disease. We hypothesize that in addition to BP control and use of recommended renoprotective, anti-hypertensive medication, other factors determine the progression of kidney disease. A secondary objective is to determine the occurrence of cardiovascular disease and assess its risk factors. In this context, the AASK Cohort Study addresses the following research questions:
| Materials and Methods |
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Data Collection
The purpose of the study visits is to collect risk factors (exposure) data, ascertain outcomes, and manage anti-hypertensive therapy. Data collection for exposures and outcomes are collected at baseline and every 12 mo thereafter. Management of anti-hypertensive therapy occurs at these visits and at an additional 2 to 4 visits per yr. Although participants are encouraged to receive their anti-hypertensive care through the AASK Cohort Study, some persons may decide not to accept such care. In this case, they are asked to attend just the semiannual data collection visits. Clinical outcomes are ascertained at each contact.
Table 1 displays the data collection items and procedures by visit during the first 2 yr. The pattern of data collection items and visits during all subsequent years is similar to that of year 2, except that ambulatory BP monitoring and echocardiography occur every other year. For those persons who reach ESRD during the Cohort Study, data collection visits still occur. Core measurements are as follows:
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Biological Specimens.
Blood is obtained twice at baseline and then every 6 mo thereafter. Serum creatinine is measured at each point. On an annual basis, fasting lipids (total cholesterol, LDL cholesterol [calculated], HDL cholesterol, and triglycerides), glucose, insulin, routine chemistry panel, and CBC are measured. Other analytes include homocysteine, C-reactive protein (CRP), and potentially other measures of inflammation, measures of oxidative stress and other lipid risk factors, e.g., Lp(a). From each collection, aliquots of serum and plasma are banked for future analyses.
Blood for DNA is collected once. From this specimen, blood is spotted on filter paper and then stored. Also, lymphocytes are immortalized. A 24-h urine collection is obtained annually. Analytes include creatinine, protein, albumin, sodium, and potassium. From each collection, aliquots are banked. Fingernails are collected once each year. Participants are asked to trim each of their 10 fingernails with a chromium-free nail clipper. From these stored clippings, the levels of 50 heavy metals, including elemental mercury, chromium, and lead, can be measured using neutron activation analyses.
Questionnaires.
Questionnaires that focus on potential risk factors are administered annually. Surveillance for outcomes (ESRD and cardiovascular outcomes) occurs at each visit. Risk factors of interest include health habits (alcohol, smoking, analgesic use, drug use), medications, exposure to intravenous contrast, and psychosocial factors. Instruments include the SF-36, the Jackson Heart Study Approach to Life, the Beck Depression Inventory II, and the Diener Satisfaction of Life Form.
Cardiovascular (CVD) Procedures.
All CVD procedures are done locally and read centrally by the Cardiovascular Procedures Core Laboratory at Lenox Hill Hospital. Each year, an ECG is obtained. Specific codes of interest are the presence of LVH and myocardial infarction.
At baseline and every other year, a two-dimensional, M-mode, pulsed Doppler and pulsed tissue Doppler echocardiogram is obtained to evaluate left ventricular (LV) structure, LV mass, cardiac output, and aortic valve structure; as well as to obtain measures of systolic and diastolic function.
At baseline and every other year, 24-h ambulatory BP recordings are obtained. The study uses the SpaceLabs 90217 Ultralite or SpaceLabs 90207 devices. During each 24-h recording, measurements are obtained every 30 min throughout the day and night, from which awake and asleep averages are calculated, along with other variables including dipping status.
Outcomes
Major outcomes of interest are renal and cardiovascular events. The primary renal outcome is a composite clinical outcome defined as the occurrence of a marked reduction in kidney function, ESRD, or death (G1 or S1, see Table 2). A coprimary outcome only includes the renal events (marked reduction in kidney function or ESRD) without deaths (G2 or S2, see Table 2). Secondary outcomes are GFR slope, to be used in mechanistic analyses, and proteinuria. During the trial, GFR was measured using 125I-iothalamate clearance. After the end of the trial, eGFR is calculated from serum creatinine using an equation developed from baseline data in the AASK trial (4).
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Analyses
The analytic approach depends on the point at which risk factors are collected, and the types of risk factors and outcomes (see Figure 1, Tables 2 and 3
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Clinical Outcomes.
The association of risk factors with the clinical outcomes (renal or cardiovascular) will be evaluated with Cox regression models including predictor variables of interest and indicator variables for the six cells of the 2 x 3 factorial trial design. The period 2 analyses will include a separate set of time-dependent indicator variables for the time period that the patient was actually assigned to the randomized intervention to allow for different relative risks during and after the randomized trial. Analyses of the composite outcomes G1 or S1 will be administratively censored at the end of the designated study period (i.e., the end of period 1, 2, or 3) or final loss of contact with the patient; analyses of G2 and S2 will be censored at these times and at death.
GFR Slope.
The association of risk factors with GFR (or eGFR) slope will be examined with mixed effects models containing fixed effects terms for the predictor variables of interest along with additional terms to control for differences in the mean GFR (or eGFR) slopes among the six cells of the 2 x 3 factorial design of the randomized trial. For period 2, the latter terms will include interactions between the six cells and linear spline terms in time to allow for different mean slopes during the first 3 mo of the randomized trial (to account for initial acute effects of the interventions), the subsequent follow-up of the randomized trial (the chronic phase of the trial), the period between the final assessment of the trial, and the first assessment of the cohort (to account for a second acute effect on termination of the trial interventions), and the remaining follow-up period of the Cohort Study (the chronic phase of the Cohort Study). Periods 1 and 3 analyses will include the terms from the period 2 model that are relevant to the randomized trial (period 1) or the cohort follow-up (period 3), respectively.
A potential complication of the slope-based analyses is informative censoring from loss-to-follow-up due to death, dialysis, or dropout. If censoring is informative, the standard mixed effects models may give biased estimates. Therefore, the results of the standard mixed effects models will be compared with extensions of these models which account for informative censoring. If substantial bias is identified for important predictor variables, informative censoring models will be used in place of the standard mixed effects models.
Sample Size and Power
Of the 1094 randomized participants, 263 died or reached ESRD by September 30, 2001. We anticipate that an additional 154 participants will be lost-to-follow-up or be unwilling to participate in the AASK Cohort Study. Hence, the projected sample size is approximately 675.
Table 4 provides the projected numbers of events for each composite outcome, as the associated projected minimum detectable treatment effects (with 80% or 90% power based on an alpha level of 0.05, 2-sided test) for increases in risk associated with (1) a dichotomous risk factor with 50% prevalence; (2) a dichotomous risk factor with 20% prevalence; and (3) a 1-SD change in a continuous risk factor which is linearly related to the log-transformed relative risk. The power calculations correspond to unadjusted risk ratios.
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| Discussion |
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The AASK Cohort Study is well positioned to accomplish this task. First, this study is, to our knowledge, the only cohort study that specifically focuses on progression of kidney disease in African Americans with hypertensive kidney disease. Second, participants in this study are extremely well characterized. Baseline data on many exposures, including extensive medical history, detailed medication records, and numerous laboratory measurements, are already available, as is a bank of biologic specimens. Third, the study is enriched with individuals who have progressive disease. To date, over 300 individuals have had a major decline in renal function, ESRD, or death. If another 200 outcomes occur during the Cohort Study, there will be >500 incident ESRD cases, a number that vastly exceeds the incidence of all-cause ESRD cases in most population-based cohort studies, few of which enrolled large numbers of African Americans. Fourth, the long duration of follow-up (9 to 12 yr across trial and cohort phases) should allow us to identify and characterize individuals with slow, but clinically important, renal disease progression.
Design considerations included the selection of exposures and outcomes, and the approach to anti-hypertensive therapy. The number of candidate risk factors is vast. In this setting, we focused on a few biologically plausible factors. Salient new risk factors include markers of inflammation, diurnal BP from ambulatory BP, measurements of LV function and structure from transthoracic echocardiography, and a battery of psychosocial questionnaires. Specimens of urine, blood, and fingernails are collected and stored to assess the potential effect of other risk factors (e.g., heavy metals from fingernails). For cost and logistic considerations, we decided to estimate GFR from creatinine-based formula (4) rather than measure GFR from 125I-iothalamate clearance.
A major design consideration pertained to anti-hypertensive drug therapy. In the end, we decided to offer anti-hypertensive drug therapy to all cohort participants. Provision of such therapy has scientific, practical, and ethical roles. The scientific role is to directly control, rather than statistically adjust for, two of the major determinants of kidney disease progression (treatment of hypertension and use of renoprotective, anti-hypertensive medication). The practical role is to promote retention of individuals who otherwise might not participate in the Cohort Study after the trial ends. The ethical role is to avoid the situation of studying the effect of inadequately treated hypertension among individuals who received excellent care in the trial yet have inadequate resources to cover their own care after the trial ends.
In summary, results from the AASK Cohort Study should greatly enhance our understanding of the risk factors and processes that determine the progression of kidney disease. Such results might eventually lead to new strategies that delay or prevent ESRD.
| Acknowledgments |
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In addition to our primary sponsor, the authors gratefully acknowledge financial support from the Office of Research in Minority Health, and medication and financial support from Pfizer Inc, AstraZeneca Pharmaceuticals, and King Pharmaceuticals, Inc. The following NIH institutional grants also provided support: RR-00080, RR-00071, RR-00032, RR-11145, RR-00827, RR-00052, RR-11104, and DK-2818.
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