Abstract
Background
High blood pressure is an important public health concern because it is highly prevalent and a risk factor for adverse health outcomes, including coronary heart disease, stroke, decompensated heart failure, chronic kidney disease, and decline in cognitive function. Observational studies show a progressive increase in risk associated with blood pressure above 115/75 mm Hg. Prior research has shown that reducing elevated systolic blood pressure lowers the risk of subsequent clinical complications from cardiovascular disease. However, the optimal systolic blood pressure to reduce blood pressure-related adverse outcomes is unclear, and the benefit of treating to a level of systolic blood pressure well below 140 mm Hg has not been proven in a large, definitive clinical trial.
Purpose
To describe the design considerations of the Systolic Blood Pressure Intervention Trial (SPRINT) and the baseline characteristics of trial participants.
Methods
SPRINT is a multi-center, randomized, controlled trial that compares two strategies for treating systolic blood pressure: one targets the standard target of <140 mm Hg, and the other targets a more intensive target of <120 mm Hg. Enrollment focused on volunteers of age ≥50 years (no upper limit) with an average baseline systolic blood pressure ≥130 mm Hg and evidence of cardiovascular disease, chronic kidney disease, 10-year Framingham cardiovascular disease risk score ≥15%, or age ≥75 years. SPRINT recruitment also targeted three pre-specified subgroups: participants with chronic kidney disease (estimated glomerular filtration rate <60 ml/min/1.73m2), participants with a history of cardiovascular disease, and participants 75 years of age or older. The primary outcome is first occurrence of a myocardial infarction, acute coronary syndrome, stroke, heart failure, or cardiovascular disease death. Secondary outcomes include all-cause mortality, decline in kidney function or development of end-stage renal disease, incident dementia, decline in cognitive function, and small-vessel cerebral ischemic disease.
Results
Between November 11, 2010 and March 15, 2013 SPRINT recruited and randomized 9361 people at 102 clinics, including 3333 women, 2648 with chronic kidney disease, 1877 with a history of cardiovascular disease, 3962 minorities, and 2636 ≥75 years of age.
Limitations
Although the overall recruitment target was met, the numbers recruited in the high-risk subgroups were lower than planned.
Conclusions
SPRINT will provide important information on the risks and benefits of intensive blood pressure treatment targets in a diverse sample of high-risk participants, including those with prior cardiovascular disease, chronic kidney disease, and those aged ≥75 years.
Keywords: Randomized clinical trial, major adverse cardiovascular outcomes, blood pressure targets, hypertension, stroke, cardiovascular, kidney, cognition, brain structure and function, geriatrics
Introduction, Background, and Rationale
Hypertension is highly prevalent in the adult population of the US, especially among those aged >60 years, and is estimated to affect approximately one billion adults worldwide 1. By age 50 years, isolated systolic hypertension is the most common form of hypertension2, and the importance of blood pressure, especially systolic blood pressure, as an independent risk factor for coronary events, stroke, heart failure, and progressive chronic kidney disease including end-stage renal disease is well documented 3–13. There is also substantial epidemiologic and some clinical trial evidence supporting a role for hypertension therapy in reducing risk for adverse changes in brain structure and function, including dementia, cognitive decline, and cerebrovascular disease 14–20. The Global Burden of Disease Study identified elevated blood pressure as the leading risk factor, among 67 factors studied, for worldwide mortality and disability-adjusted life years during 2010 21. Clinical trial experience has demonstrated that treatment of hypertension reduces cardiovascular disease outcomes, including incident stroke (35% to 40%), myocardial infarction (15% to 25%), and heart failure (up to 50%) 3,22,23. The optimal target for systolic blood pressure lowering is uncertain. Clinical trials with systolic blood pressure targets <150 mm Hg (Systolic Hypertension in the Elderly Program (SHEP) and Hypertension in the Very Elderly Trial (HYVET)) have demonstrated reduction in cardiovascular disease outcomes, including incident stroke 24,25. Observational studies document a progressive increase in risk of cardiovascular disease events as blood pressure rises above 115/75 mm Hg 10. However, lowering to <120 mm Hg may be harmful or fail to produce benefits, and could be unnecessarily costly and burdensome 26–33. Clarification of the most desirable systolic blood pressure goal during hypertension treatment is important for the health of the general population.
The Action to Control Cardiovascular Risk in Diabetes (ACCORD) Blood Pressure trial, which was restricted to participants with diabetes mellitus who had normal or near normal kidney function, tested the hypothesis that more intensive reduction in systolic blood pressure to <120 mm Hg is beneficial compared to the frequently recommended target systolic blood pressure of <140 mm Hg. ACCORD did not demonstrate a benefit for treatment to the lower target for a composite cardiovascular disease outcome (hazard ratio 0.88, 95% CI: 0.73 to 1.06, P =0.20). However the confidence limit did not exclude a benefit as large as a 27% improvement in the composite cardiovascular disease outcome 32. A definitive clinical trial in non-diabetic hypertensive participants to determine whether lowering systolic blood pressure <120 mm Hg reduces clinical events more than lowering systolic blood pressure to <140 mm Hg was designated by an NHLBI Expert Panel in 2007 34 as the most important hypothesis to test regarding the prevention of hypertension-related complications. This paper describes the design of the Systolic Blood Pressure Intervention Trial (SPRINT), which aims to address this question. This paper is a summary of our protocol which is publically available 35.
Study Organization
The SPRINT organizational structures and responsibilities are similar to many previous multicenter clinical trials. Four institutes of the National Institutes of Health (NIH) co-sponsor SPRINT. The National Heart, Lung, and Blood Institute (NHLBI) initiated the study, and the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) is a co-sponsor of the main SPRINT trial. The National Institute of Neurological Disorders and Stroke (NINDS) and the National Institute on Aging (NIA) are jointly sponsoring the cognitive sub-study, known as SPRINT MIND. Five Clinical Center Networks, the Coordinating Center, and NIH representatives formed the Steering Committee to design and conduct the trial; voting members include the Clinical Center Network Principal Investigators, the Coordinating Center Principal Investigator, the NHLBI Project Officer (representing the 4 NIH Institutes), and the Steering Committee Chair (or Co-Chair) in the case of a tie vote. In addition, there are four central units: a Central Laboratory, an Electrocardiography (ECG) Reading Center, a Magnetic Resonance Imaging (MRI) Reading Center, and a Drug Distribution Center.
Each Clinical Center Network consists of multiple collaborating clinical centers, which are primarily responsible for the recruitment, blood pressure management, safety, and follow-up of participants. The Clinical Center Networks were responsible for recruiting and providing oversight of these clinical centers. The Coordinating Center is responsible for overall trial coordination, data collection and analysis, and for oversight of the central units. The NIH Project Office is responsible for the scientific conduct and administration of SPRINT. External oversight is provided by Institutional Review Boards at the Coordinating Center, Clinical Center Networks, and clinical centers and a Data and Safety Monitoring Board appointed by NIH.
Study Design Decisions
Overall Design
The objective of SPRINT is to test whether reducing systolic blood pressure to <120 mm Hg will reduce cardiovascular disease events defined as the composite of nonfatal myocardial infarction, acute coronary syndrome not resulting in myocardial infarction, nonfatal stroke, nonfatal acute decompensated heart failure, and death from cardiovascular disease. Research teams submitted proposals to NIH in May 2008 in response to a request for proposals issued by NIH in February 2008. After the contracts were awarded in September 2009, the SPRINT Steering Committee refined the overall study design. This process led to a review by an NIH-appointed Protocol Review Committee in June 2010 and final approval by NIH. Below we discuss the design considerations for SPRINT.
Eligibility, Recruitment, Retention, and Adherence
The SPRINT inclusion criteria are presented in Table 1; exclusion criteria are detailed in the protocol 35, two major exclusion criteria include diabetes mellitus and stroke. A major goal was to recruit a sample that would provide maximum generalizability and safety, adequate event rates to achieve the planned level of statistical power, and feasibility to meet the trial’s enrollment objectives. Other goals included assessing whether persons with and without chronic kidney disease and older and younger participants in diverse population subgroups differ in their response to hypertension treatment and whether the treatment might slow down age-related decline in cognition and reduce dementia rates. Hence, SPRINT was to include a diverse population with hypertension and existing cardiovascular disease, existing chronic kidney disease, or an elevated estimated risk for cardiovascular disease based on age and other risk factors 36. The overall target was to randomize 9,250 participants.
Table 1.
General Inclusion Criteria
|
Targeted High-Risk Subgroup Inclusion
Criteria Chronic kidney disease: Qualifying chronic kidney disease was defined by estimated glomerular filtration rate, determined at baseline between 20 and 59 ml/min/1.73m2, inclusive, based on the 4-variable MDRD equation. Senior: Participants who were at least 75 years old at the baseline visit. Cardiovascular disease: Participants who met any of the inclusion criteria listed in 4 or 5 above at baseline. |
Within the 9,250 target, targets were set for three subgroups: 4,300 (46%) with chronic kidney disease (estimated glomerular filtration rate 20–59 ml/min/1.73m2), 3,700 (40%) with clinical or subclinical cardiovascular disease, and 3,250 (35%) seniors (≥75 years old). Additional targets included enrolling 50% women and 40% minorities. The recruitment targets were closely monitored. Participant recruitment began on November 11, 2010 but proceeded more slowly than planned, and achieving the original chronic kidney disease, cardiovascular disease, and senior targets was more challenging than expected (Figure 1). From November 4, 2012, through March 15, 2013, recruitment was focused on enrolling seniors or participants with existing chronic kidney disease or cardiovascular disease. The overall enrollment experience is shown in the CONSORT diagram (Figure 2).
The SPRINT study also recruited participants into two important nested sub-studies, SPRINT MIND and SPRINT MIND MRI, both of which were pre-specified in the NIH RFP. While all SPRINT participants are assessed for incident dementia (see below), our target was a subset of 2800 SPRINT participants to undergo more extensive cognitive assessment than that performed in the total sample, with the goal of evaluating the impact of the intervention on decline in cognitive function. A smaller number of 640 SPRINT MIND participants attending clinics located near a SPRINT MIND MRI center was targeted to be recruited into the SPRINT MIND MRI sub-study.
Attention to adherence and retention began before enrollment, during the screening process, and continues throughout the trial. During screening, individuals who demonstrated a significant risk for non-adherence to study medication or for completing study visits were excluded from trial participation. Once participants were enrolled, a baseline assessment of adherence using standardized, valid adherence measures in conjunction with assessment of behavioral “red flags” by clinic staff allowed for early identification of potential problems so that study resources could be devoted to improving adherence and retention for these individuals. Throughout the trial, ongoing monitoring of adherence is critical for identifying low adherence and enabling clinic staff to intervene and address problems as they develop.
Study procedures, including obtaining written informed consent from all participants, were approved in advance by relevant Institutional Review Boards.
Intervention
Participants were randomized to one of two systolic blood pressure targets: <120 and <140 mm Hg. The intervention is a treatment algorithm similar to that used in the ACCORD Trial, which produced average systolic blood pressures of 119 mm Hg and 134 mm Hg in the Intensive and Standard Treatment groups, respectively (Figures 3 and 4) 32.
Representative medications from all major classes of antihypertensive agents are provided by the trial at no cost to the participants. Other antihypertensive medications can be used by SPRINT investigators but are not provided by the trial. The protocol recommended that antihypertensive regimens should include one or more drug classes with the strongest evidence for capacity to prevent cardiovascular disease outcomes: thiazide-type diuretics, calcium channel blockers (CCBs), angiotensin converting enzyme (ACE) inhibitors, and angiotensin receptor blockers (ARBs), with priority for prescription of thiazide-type diuretics 3,37. However, clinical center investigators are given discretion regarding which drugs to use at initiation and during intensification of therapy. Loop diuretics are recommended for participants with advanced chronic kidney disease. Use of beta-adrenergic blockers is encouraged in participants with coronary artery disease. Chlorthalidone is encouraged as the primary thiazide-type diuretic, and amlodipine as the preferred CCB, since they have the most robust evidence for prevention of cardiovascular disease outcomes and blood pressure reduction within their respective classes 38,39. Antihypertensive drug classes with guideline recommendations for specific nonhypertensive indications can be used in place of other agents in order to achieve and maintain systolic blood pressure targets (e.g., use of ACE-inhibitors and ARBs in participants with chronic kidney disease). The SPRINT formulary is presented in Table 2.
Table 2.
Class | Drug | Available Strengths | Usual Dose Range / day | Usual Daily Frequency |
---|---|---|---|---|
Diuretic | Chlorthalidone | 25mg | 12.5–25 mg | 1 |
Furosemide | 20mg, 40mg, 80mg | 20–80 mg | 2 | |
Spironolactone | 25mg | 25–50 mg | 1 | |
Triamterene/HCTZ | 75/50mg | 37.5/25 mg – 75/50 mg | 1 | |
Amiloride* | 5mg | 5 – 10 | 1–2 | |
Amiloride/HCTZ* | 5/50mg | 5/50 | 1 | |
HCTZ* | 12.5, 25 mg | 12.5 – 50 | 1 | |
Ace Inhibitor (ACEI) | Lisinopril | 5mg, 10mg 20mg, 40mg | 5–40 mg | 1 |
ACEI / Diuretic | Lisinopril/HCTZ* | 20/12.5 mg, 20/25mg | 10–40 / 12.5–50 | 1 |
Angiotensin Receptor Blocker
(ARB) ARB / Diuretic |
Valsartan* | 80mg, 160mg, 320mg | 80–320 mg | 1–2 |
Losartan | 25mg, 50mg, 100mg | 25 – 100 mg | 1–2 | |
Azilsartan | 40mg, 80mg | 40–80 mg | 1 | |
Azilsartan/chlorthalidone | 40/12.5mg, 40/25mg | 40/12.5 – 40/25 mg | 1 | |
Calcium Channel Blockers | Diltiazem | 120mg, 180mg, 240mg, 300mg | 120–540 mg | 1 |
Amlodipine | 2.5mg, 5mg, 10mg | 2.5–10 mg | 1 | |
Beta Blockers | Metoprolol Tartate | 25mg, 50mg, 100mg | 50–200 mg | 1–2 |
Metoprolol ER* | 25mg, 50mg, 100 mg, 200 mg | 50–200 | 1 | |
Atenolol | 25mg, 50mg, 100mg | 25–100 mg | 1 | |
Beta Blocker / Diuretic | Atenolol/Chlorthalidone | 50/25mg | 50/25 mg | 1 |
Vasodilators | Hydralazine | 25mg, 50mg, 100mg | 50–200 mg | 2 |
Minoxidil | 2.5mg, 10mg | 2.5–80 mg | 1–2 | |
Alpha 2 Agonist | Guanfacine | 1mg, 2mg | 0.5–2 mg | 1 |
Clonidine patch* | 0.1mg, 0.2mg, 0.3mg | 0.1–0.3 | 1 wkly | |
Alpha Blockers | Doxazosin | 1mg, 2mg, 4mg, 8mg | 1–16 mg | 1 |
Potassium Supplements | KCL tablets | 20mEq | 20–80 mEq | 1–2 |
KCL oral solution (10%) | 20mEq/15ml | 20–80 mEq | 1–2 |
Medications provided by the study for restricted use after consultation with and approval from a designated representative for each Clinical Center Network.
In both groups participants are evaluated monthly for the first three months, and thereafter every three months. Monthly visits continue in the Intensive Group until a systolic blood pressure <120 mm Hg is achieved or no more titration is planned and in the Standard Group whenever a systolic blood pressure ≥160 mm Hg is noted. Additional visits can be scheduled as needed for monitoring medications and safety.
For most participants in the Intensive Group, a two- or three-drug regimen was initiated at randomization (occasionally only one drug for participants ≥75 years). Drug doses are increased and/or additional antihypertensive medications are added at monthly visits until the target of <120 mm Hg is reached or the investigator decides no further antihypertensive medications should be added. “Milepost Visits” are scheduled every 6 months. If the systolic blood pressure is not <120 mm Hg at a Milepost Visit, an antihypertensive drug from an additional class is added, absent contraindications.
For Standard Group participants, the protocol is designed to achieve a systolic blood pressure of 135–139 mm Hg, starting with the randomization visit. Dose titration or addition of another drug occurs if systolic blood pressure is ≥160 mm Hg at a single visit or ≥140 mm Hg at two successive visits. Medication may be reduced if the systolic blood pressure is <130 mm Hg at a single visit or <135 mm Hg at two consecutive visits.
Titration of medications to target is based on a mean of three office blood pressure measurements obtained in the seated position using an automated measurement device (Omron Healthcare, Lake Forest, IL). Blood pressure is also measured one minute after standing at screening, baseline, 1 month, 6 months, 12 months, and annually thereafter. While standing, participants are asked about symptoms of hypotension (see Safety section).
All participants are advised to follow lifestyle recommendations and background therapy consistent with current practice guidelines to minimize differences in the effects of non-study strategies that could influence systolic blood pressure or cardiovascular disease outcomes in the two treatment arms. Specific lifestyle recommendations include weight loss for overweight participants, a heart-healthy diet (e.g., the DASH diet) with appropriate modifications for participants with chronic kidney disease, reducing sodium intake and alcohol consumption below maximum recommended levels, regular aerobic exercise, and smoking cessation 3.
Hypotheses and choice of outcomes
The primary hypothesis for SPRINT is that treating to a systolic blood pressure target of <120 mm Hg (the intensive intervention) compared to a systolic blood pressure target of <140 mm Hg (the standard intervention) will reduce the composite outcome of nonfatal myocardial infarction, acute coronary syndrome not resulting in myocardial infarction, nonfatal stroke, nonfatal acute decompensated heart failure, and death from cardiovascular disease. Three subgroups are of particular interest since the intervention effect may be modified by the baseline values defining them: participants with (estimated glomerular filtration rate <60 ml/min/1.73m2) and without chronic kidney disease, race (Black or non-Black), and participants < or ≥75 years.
We selected a composite primary outcome for three reasons. First, there is previous evidence that each component of the primary outcome may be modifiable with intensive blood pressure reduction 12,24,25,40,41. Second, use of a primary outcome based on a single clinical event would have resulted in a sample size that is unfeasible. Third, the integrated effect of the intervention on overall cardiovascular disease outcomes (or mortality) is the most important clinical question upon which a significantly lower blood pressure goal would be widely recommended.
SPRINT prespecifies three types of secondary outcomes: (1) secondary outcomes to support the primary analysis, including components of the primary composite outcome, total mortality, and a composite of the primary composite with total mortality (i.e., cardiovascular disease-free survival), (2) kidney outcomes, and (3) brain outcomes. Additional secondary cardiovascular disease outcomes include peripheral arterial disease, coronary revascularization, transient ischemic attack, left ventricular hypertrophy on ECG, and atrial fibrillation or flutter. Peripheral arterial disease includes carotid and peripheral revascularization, abdominal aortic aneurysm repair, and other objectively defined peripheral arterial disease events.
The main secondary kidney outcome, restricted to the chronic kidney disease subgroup, is a composite of a 50% decrease in estimated glomerular filtration rate from baseline or incident end-stage renal disease. Among the nonchronic kidney disease subgroup, the kidney outcomes are (1) a decrease in estimated glomerular filtration rate by >30% to <60 ml/min/1.73m2 and (2) incident albuminuria, defined as a doubling of urinary albumin-to-creatinine ratio from a value of <10 mg/g to a value of >10 mg/g. The second of these also applies to the chronic kidney disease subgroup. These kidney outcomes are ascertained by laboratory tests obtained during regularly scheduled study visits, except for end-stage renal disease, which is ascertained by history and review of clinical records.
The main secondary brain hypothesis is that incidence of all-cause dementia will be lower in the Intensive compared to the Standard Group. We also hypothesize that compared to the Standard Group, the Intensive Group will have slower decline in a composite measure of general cognitive function across all domains of cognition (measured in the SPRINT MIND participants) and a lower load of small vessel ischemic disease and higher total brain volume (measured in the SPRINT MIND MRI participants).
Consistency of effects of the intervention on the cardiovascular primary outcome will be examined in subgroups defined by six baseline variables (chronic kidney disease vs non-chronic kidney disease, Black vs. non-Black, age (≥ vs. <75 years), gender, presence vs. absence of cardiovascular disease (see Table 1), and tertiles of baseline systolic blood pressure). Subgroup analyses will also be performed for the kidney outcomes. These subgroups are defined by race, age, gender, baseline urinary albumin-to-creatinine ratio (>300 mg/g vs. ≤300 mg/g) and baseline estimated glomerular filtration rate (< vs. ≥ the median). For dementia and the cognitive outcomes, we will examine the subgroups for the primary outcome, mild cognitive impairment at baseline (presence vs. absence), and baseline orthostatic hypotension (presence vs. absence; defined as an orthostatic systolic blood pressure decrease of ≥20 mm Hg or a diastolic blood pressure decrease of ≥10 mm Hg).
Health-related quality of life is assessed in the total SPRINT sample using the Veterans Rand Short-Form 12 (VR-12) 42,43, the EuroQol-5D-3L 44, and the Patient Health Questionnaire-9 (PHQ-9) 45,46. In addition, two items developed by the SPRINT Health-related Quality of Life Subcommittee are used to assess participant satisfaction with antihypertensive medications and treatment for hypertension. In a health-related quality of life subsample, the Falls Self-Efficacy Scale International 47 is assessed. Among women, the Female Sexual Function Index (FSFI) 48,49 is assessed, and among men, the International Index of Erectile Function 5-item version (IIEF-5) 50 is assessed.
Measurement, Ascertainment, and Follow-up
The algorithm for classifying myocardial infarction is presented in Table 3. The definition includes myocardial infarction that occurred during surgery or a procedure and myocardial infarction aborted by thrombolytic therapy or procedure. Silent myocardial infarction, determined using 12-lead ECG at years 2 and 4 and the close-out visit compared to baseline, is determined centrally in the absence of clinically detected myocardial infarction using the Minnesota ECG classification 52. The diagnosis of non-myocardial infarction acute coronary syndrome requires hospitalization for evaluation, with documented new or changing cardiac ischemic symptoms. Further, confirmatory evidence of coronary artery disease is required. Stroke is defined as the rapid onset of focal neurologic symptoms, headache, or meningismus not due to other conditions (e.g., central nervous system infection), plus a lesion on brain imaging consistent with symptoms except when death occurs within 24 hours without resolution of symptoms 53,54. Clinical strokes are subtyped using the Causative Classification of Stroke (CCS) system 55,56. Diagnosis of heart failure requires a hospitalization or emergency department visit requiring treatment with infusion therapy for a clinical syndrome that presents with multiple signs and symptoms consistent with cardiac decompensation or inadequate cardiac pump function 57. This outcome includes heart failure with preserved or reduced left ventricular ejection fraction. Cardiovascular disease death includes fatal coronary heart disease 51, sudden cardiac death, heart failure, stroke, and other non-cardiac cardiovascular events adjudicated centrally as the underlying cause of death. Fatal cardiovascular disease events are defined based on temporal relationship to a documented event (e.g., hospitalization for myocardial infarction), or postmortem findings of an acute cardiovascular disease event.
Table 3.
ECG Findings* | Biomarker findings | |||||||
---|---|---|---|---|---|---|---|---|
Cardiac symptoms or signs present | Cardiac symptoms or signs absent | |||||||
Diagnostic† | Equivocal† | Missing† | Normal† | Diagnostic | Equivocal | Missing | Normal | |
Evolving diagnostic | Definite | Definite | Definite | Definite | Definite | Definite | Definite | Definite |
Positive | Definite | Probable | Probable | No | Definite | Probable | Possible | No |
Nonspecific | Definite | Possible | No | No | Definite‡ | Possible | No | No |
Negative for evolving ischemia | Definite | Possible | No | No | Definite‡ | No | No | No |
See Tables 2–4 of Leupker et al51.
Biomarkers include CK, CK-MB, CK-MBm, and troponin (cTn) with diagnostic value increasing from CK to CK-MB to CK-MBm to troponin. Diagnostic is at least one positive biomarker (≥2×ULN) in an adequate set of biomarkers showing a rising or falling pattern in the setting of clinical cardiac ischemia and the absence of non-cardiac causes of biomarker elevation. Equivocal is present but not diagnostic.
In absence of diagnostic troponin, downgrade to possible.
Cardiovascular disease outcomes are ascertained primarily through surveillance for self-reported events, review of pertinent medical records, and ECG collection. Clinical events are ascertained in both arms only every 3 months during follow-up using a structured interview to minimize ascertainment bias. Deaths are investigated at any time the clinical site staff becomes aware of a potential death.
Blood samples are collected at randomization and at months 1, 3, 6, 12, then every 6 months until the close-out visit. Urine samples are collected at randomization and at months 1, 6, 12, then yearly through month 60. DNA is extracted from whole blood samples collected at randomization. The analytes measured and methods used to measure them are shown in Table 4.
Table 4.
Analyte | Method Principle |
---|---|
Na, K, Cl, CO2 | Ion-specific electrode |
BUN, creatinine (plasma and urine) | Enzymatic |
Glucose | Hexokinase |
Cholesterol | Cholesterol oxidase |
High-density lipoprotein cholesterol | Magnesium-dextran sulfate precipitation followed by cholesterol oxidase |
Calculated low-density lipoprotein cholesterol | Friedewald equation |
Total triglycerides | Lipase (glycerol-blanked) |
Albumin (urine) | Nephelometry |
Analytes in plasma unless otherwise specified.
SPRINT MIND
The primary outcome of the MIND component of SPRINT is all-cause dementia. This outcome is assessed using a screening battery and an extended cognitive assessment battery. Dementia incidence is assessed in SPRINT using a three-step process. All SPRINT participants undergo a cognitive function screening battery at baseline, 2 and 4 years of follow-up. In participants who score below screening thresholds, the Functional Assessment Questionnaire (FAQ) 58 is administered to a participant contact to identify functional impairment associated with low cognitive scores. An extended cognitive battery is then administered to all participants scoring >0 on the FAQ or a score of 0–1 on the delayed recall component of the Montreal Cognitive Assessment (MoCA) 59. All participants who receive the extended cognitive battery are presented to an expert panel (composed of neurologists, neuropsychologists, and geriatricians with clinical expertise in the diagnosis of dementia) for adjudication of cognitive status. For participants who cannot be assessed in person at follow-up, we attempt to administer a telephone battery 60,61. In instances where participants are unable to communicate by telephone, a pre-specified proxy contact is administered the Dementia Questionnaire 62. Structural brain imaging in a subset of at least 640 participants is performed using MRI.
Quality Control
Steps to standardize measures include the use of the Central Lab and ECG Reading Center; use of standard forms, equipment, and procedures; training; and standard event definitions and event validation procedures. A central training session was held prior to the start of recruitment to train clinic investigators and staff in study procedures. A second central training session was held in March 2014. Clinical Center Network staff provide training sessions to newly hired staff in their respective clinical sites as turnover occurs. The Clinical Center Networks and Coordinating Center organize refresher training sessions using conference calls, webinars, and on-site training. The Measurement, Procedures, and Quality Control Subcommittee is responsible for ongoing quality control monitoring and quality assurance activities. On a quarterly basis, the Measurement, Procedures, and Quality Control subcommittee monitors quality control reports from the ECG Reading Center and Central Lab; it also monitors clinical site performance, and communicates issues regarding specific sites to the respective Clinical Center Networks for follow-up. The Clinical Center Networks track performance of clinical sites within their networks and conduct standardized site visits. Site visit reports are submitted to the Coordinating Center and evaluated by the Measurement, Procedures, and Quality Control subcommittee. Completeness of data collection, with a special focus on events ascertainment, was monitored by both the study and the Data Safety and Monitoring Board. Site-specific feedback was provided and improvement plans were required when necessary.
Statistical analysis, sample size, and power considerations
The primary analysis will use Cox proportional hazards regression to compare time to first occurrence of the primary cardiovascular disease composite endpoint between the randomized groups using all participants under the intention-to- treat principle and two-sided tests at the 5% level. The model will include an indicator for intervention arm as its sole predictor variable with clinical site at randomization as a stratifying factor. Follow-up time will be censored on the date of the last event ascertainment or at death. For the subgroup comparisons described above, we will add terms to the Cox model for the subgroup and the subgroup by treatment interactions and use a likelihood ratio test for the interaction at the 5% level with Hommel adjusted p-values. Other time-to-event data (e.g., incident chronic kidney disease) will be analyzed similarly. Mixed models will be used for continuous outcomes. Interim analyses will be performed on a periodic basis using O’Brien-Fleming boundaries 63.
Several sensitivity analyses are planned. These include inclusion of baseline variables that may modify treatment (e.g., the factors defining the pre-specified subgroups (possibly as continuous predictors), diastolic blood pressure, metabolic syndrome), exploration of missing data on our conclusions, and exploration of competing risks. The missing data analysis will include multiple imputation, an exploration of which variables predict missingness and their inclusion in analytic models, and exploration of several “worst-case” scenarios. Additional details are available in our protocol 35.
We assumed a 2-year recruitment period, a maximum follow-up of 6 years, and a loss to follow-up of 2%/yr. With the targeted 9250 participants, we calculated 88.7% power to detect a 20% effect for our primary outcome, assuming a 2.2%/yr event rate in the Standard Group. We calculated 81.9% power for a 20% effect for the primary outcome in people with chronic kidney disease at baseline assuming a 4%/yr event rate, 84.5% power to detect a 25% effect for the primary outcome among those ≥ 75 yr. old at baseline assuming a 3.5%/yr event rate. We have 96.3% power to detect a 20% effect rate for incident dementia assuming an event rate of 3.1%/yr.
Safety Monitoring
All sites monitor and report serious adverse events to the Coordinating Center. An serious adverse event is an event that is fatal or life threatening, resulting in significant or persistent disability, requiring or prolonging a hospitalization, or is an important medical event that the investigator judges to be a significant hazard or harm to the participant and may have required medical or surgical intervention to prevent one of the other events listed above 64,65. Because SPRINT is using FDA-approved anti-hypertensive medications with well documented side effect profiles, adverse events that do not meet the severity threshold of an serious adverse event are not generally collected. However, a specific list of expected events that could be related to the study intervention is being monitored to assess safety. These include emergency department visits for injurious falls, syncope, bradycardia, hypotension, and electrolyte disturbances. Sites are notified of alert values for electrolytes (sodium ≤132 or >150 mEq/L; potassium <3.0 or >5.5 mEq/L) and serum creatinine (increase by at least 50% from the last study value to a level ≥1.5 mg/dL). Sites are also notified of participants with moderate or higher depressive symptoms on the PHQ-9 and participants who are adjudicated as probable dementia. Electrocardiograms are flagged for clinician review if the heart rate is <40 or >120 beats per minute or the ECG suggests acute ischemia, ventricular arrhythmias, or new onset atrial fibrillation. Clinically important findings on brain MRI are reported directly to the site physician investigator and study coordinator. Blinded reports of serious adverse events and safety events are monitored by the Safety Committee monthly and unblinded reports are reviewed by the Data Safety and Monitoring Board semiannually.
Web-based trial management
Participant and visit-specific form sets are created dynamically, and data are entered directly into web-based forms and saved to the database. The web-based system allows real-time data entry checks as the data are entered, including verification of eligibility prior to randomization, and range and logic checks on individual data items. The data are immediately available for dynamic reports for study management. The website is also used to manage the outcome adjudication process 66.
Results
Description of the SPRINT sample
Descriptive statistics can be seen in Table 5. 9361 participants volunteered to participate and met the inclusion criteria, enrolled at 102 clinics within the 5 Clinical Center Networks over a 2.3-year period, and will be followed for 4–6 years. Among our sample, 3333 (35.5%) were women, 2636 (28.2%) were at least 75 years old, 2648 (28.3%) had chronic kidney disease, and 1877 (20.1%) had prior cardiovascular disease. Our sample is racially and ethnically diverse with 2802 (29.9%) Black, 984 (10.5%) Hispanic, 5399 (57.7%) white, and 176 (1.9%) participants of other races/ethnicities. The baseline mean systolic and diastolic blood pressures were 139.7 (15.6 (SD)) and 78.1 (11.9) mm Hg. We recruited 2914 for SPRINT MIND and 667 for SPRINT MIND MRI.
Table 5.
Characteristic | SPRINT N=9361 | Intensive (N=4678) | Standard (N=4683) |
---|---|---|---|
Gender (Female) | 3333 (35.6) | 1684 (36.0%) | 1649 (35.2%) |
Age (years) | 67.9 (9.4) | 67.9 (9.4) | 67.9 (9.5) |
Race/Ethnicity | |||
Black | 2802 (29.9) | 1379 (29.5) | 1423 (30.4) |
Hispanic | 984 (10.5) | 503 (10.8) | 481 (10.3) |
White | 5399 (57.7) | 2698 (57.7) | 2701 (57.7) |
Other | 176 (1.9) | 98 (2.1) | 78 (1.7) |
Age ≥75 years | 2636 (28.2) | 1317 (28.2) | 1319 (28.2) |
Age among ≥75 (years) | 79.8 (4.0) | 79.8 (3.9) | 79.9 (4.1) |
Baseline blood pressure (mm Hg) | |||
Systolic | 139.7 (15.6) | 139.7 (15.8) | 139.7 (15.4) |
Diastolic | 78.1 (11.9) | 78.2 (11.9) | 78.0 (12.0) |
Baseline chronic kidney disease (estimated glomerular filtration rate<60) | 2648 (28.3) | 1331 (28.4) | 1317 (28.1) |
Serum creatinine (mg/dL) | 1.07 (0.34) | 1.07 (0.34) | 1.08 (0.34) |
estimated glomerular filtration rate (mL/min/1.73 m2) | 71.8 (20.6) | 71.8 (20.7) | 71.7 (20.5) |
estimated glomerular filtration rate<45 mL/min/1.73 m2 | 890 (9.5) | 446 (9.5) | 444 (9.5) |
Urine albumin/creatinine (mg/g) | 42.6 (166.3) | 44.1 (178.7) | 41.1 (152.9) |
Prior cardiovascular disease | 1877 (20.1) | 940 (20.1) | 937 (20.0) |
Total cholesterol (mg/dL) | 190.1 (41.2) | 190.2 (41.4) | 190.0 (40.9) |
Fasting HDL-C (mg/dL) | 52.9 (14.5) | 52.9 (14.3) | 52.8 (14.6) |
Fasting LDL-C (mg/dL) | 112.4 (35.1) | 112.6 (35.4) | 112.2 (34.8) |
Fasting total triglycerides (mg/dL) | 125.9 (90.5) | 124.8 (85.8) | 127.1 (95.0) |
Fasting plasma glucose (units) | 98.8 (13.5) | 98.8 (13.7) | 98.8 (13.4) |
Statin use | 4052 (43.3) | 1977 (42.3) | 2075 (44.3) |
Aspirin use | 4756 (51.0) | 2405 (51.6) | 2351 (50.4) |
10-Year Framingham risk (%) | 20.1 (10.9) | 20.1 (10.9) | 20.1 (10.8) |
Body mass index (kg/m2) | 29.9 (5.8) | 29.9 (5.8) | 29.8 (5.7) |
Smoking | |||
Never smoker | 4196 (45.0) | 2097 (45.0) | 2098 (45.0) |
Former smoker | 3898 (41.8) | 1929 (41.4) | 1969 (42.2) |
Current smoker | 1239 (13.3) | 639 (13.7) | 600 (12.9) |
Gait speed (m/s) (only for age ≥75 yrs) |
0.87 (0.22) | 0.87 (0.22) | 0.87 (0.21) |
Logical Memory I | 19.1 (4.9) | 19.1 (4.9) | 19.2 (4.9) |
Logical Memory II | 8.2 (3.4) | 8.1 (3.4) | 8.2 (3.3) |
Digit Symbol | 50.8 (15.3) | 50.7 (15.3) | 50.8 (15.4) |
Montreal Cognitive Assessment (MoCA) | 22.9 (4.1) | 22.9 (4.1) | 22.9 (4.1) |
Ancillary Studies
Ancillary Studies utilizing the SPRINT population, biospecimens, and rich data base are strongly encouraged, provided these studies do not place undue burden on answering the main study question. As of March 2014, seven ancillary studies have begun. Topics include ambulatory blood pressure, arterial stiffness, cardiac structure and function, atherosclerosis progression in chronic kidney disease, cognitive function and brain structure in chronic kidney disease, kidney tubule damage and dysfunction, as well as genetic influences on nephropathy. Additional ancillary studies are in various stages of development.
Discussion
SPRINT was jointly developed by scientific staff at the National Institutes of Health (NIH) and the SPRINT investigators whose efforts are supported by contracts from the NIH awarded via the peer-reviewed competitive process. As SPRINT was developed, key decisions were made in an attempt to balance the trial’s scientific goals with the resources available to conduct the study. First, we decided to use the ACCORD Blood Pressure trial as a model for our intervention as it had already been proven to be safe and successful in achieving our systolic blood pressure targets for the Intensive and Standard Groups. It also facilitates comparison of the effect of this intervention on complementary populations. Our specific target for recruitment of persons ≥75 years old was established to explore the results of HYVET 24 which while testing a higher target (systolic blood pressure <150 mm Hg) than the Standard Group in SPRINT suggest that benefit of treatment might be larger in persons ≥80 years than our hypothesized 20% reduction in cardiovascular disease events. HYVET also had an intriguing but non-significant impact on cognition as the study was stopped early 67. In addition, recent guidelines 68,69 have questioned the ideal systolic blood pressure target for older individuals. ACCORD excluded individuals with serum creatinine levels above 1.5 mg/dl and individuals over the age of 80 years. The Secondary Prevention of Small Subcortical Strokes (SPS3) trial, which compared a systolic blood pressure treatment target of <130 mm Hg to a target of 130–149 mm Hg in participants with a recent lacunar stroke, showed a non-significant reduction in recurrent stroke in the group randomized to the lower target 70. Our specific goal for participants with chronic kidney disease was to obtain additional information on whether more intensive blood pressure goals would reduce cardiovascular events in these older patients with chronic kidney disease. Two additional trials in the chronic kidney disease population (African American Study of Kidney Disease and Hypertension (AASK) and Modification of Diet in Renal Disease (MDRD)) tested the effects of blood pressure targets that are higher than that being used for the SPRINT intensive treatment group and excluded older participants 33,71. In addition, AASK and MDRD specifically targeted kidney outcomes but not cardiovascular disease outcomes. The trial evidence is equivocal about whether hypertension therapy reduces the risk of age-related cognitive decline and dementia 67, both are recognized as very important public health problems. SPRINT offers an efficient vehicle to address important questions related to cardiovascular, kidney, and dementia prevention.
To further enhance the value of SPRINT, we address possible adverse effects of blood pressure lowering using measures of sexual functioning, falls, and fear of falls. In addition, orthostatic blood pressure values and emergency department visits are tracked, as well as hospitalizations and major clinical events. Finally, our events ascertainment process begins with scheduled participant (or surrogate) interviews every three months in order to minimize differential ascertainment. We exceeded our overall recruitment target (9361 actual vs. 9250 planned) and our target for minority recruitment (42.3% actual vs. 40% planned). However, we did not meet our recruitment targets for enrolling women (35.6% actual vs. 50% planned), participants above 75 years old (28.2% actual vs. 35% planned), participants with chronic kidney disease (28.3% actual vs. 46% planned), and participants with cardiovascular disease (20.1% actual vs. 40% planned). Although subgroup enrollment was monitored carefully during the recruitment phase, it proved difficult to enroll the number of participants initially proposed for each of the subgroups while maintaining overall recruitment goal rates. Unless event rates are higher than expected or follow-up is extended, the lower than expected enrollment for these subgroups may result in diminished power to explore the primary hypothesis among women, persons above 75 years, and persons with chronic kidney disease.
With the successful completion of enrollment and preliminary safety of the intervention well-established, the SPRINT team is focused on participant retention, ensuring adherence to study medications and the assigned systolic blood pressure targets, ensuring high quality data collection, monitoring safety, and collecting and adjudicating trial endpoints. Follow-up is scheduled to end in the Fall of 2016. We look forward to sharing the results of this trial with the scientific community in the Fall of 2017 via papers and presentations. We expect that SPRINT will inform the clinical management of hypertension in a diverse population and potentially our ability to prevent outcomes of major public health interest.
Acknowledgments
For a full list of contributors to SPRINT, plase see the supplementary acknowledgement list.
The Systolic Blood Pressure Intervention Trial is funded in whole or in part with Federal funds from the National Heart, Lung, and Blood Institute, the National Institute of Diabetes and Digestive and Kidney Diseases, the National Institute on Aging and the National Institute of Neurological Disorders and Stroke, under Contract Number: HHSN268200900040C. All components of the SPRINT study protocol were designed and implemented by the investigators. The investigative team collected, analyzed, and interpreted the data. All aspects of manuscript writing and revision were carried out by the coauthors. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
In addition, the trial is/was supported by the following awards: WFU Coordinating Center Publication Acknowledgement: Wake Forest University Claude D. Pepper Older Americans Independence Center (P30-AG21332). CWRU Clinical Center Network Publication Acknowledgements: CWRU: UL1TR000439 (NCATS); OSU: UL1RR025755 (NCRR); and U Penn: UL1RR024134 (NCRR) and UL1TR000003 (NCATS). UTAH Clinical Center Network Publication Acknowledgments: Boston: UL1 RR025771 (CTSA); Stanford: UL1 TR000093 (CTSA) and UL1 TR000093 (NCATS); Tufts: UL1RR025752 (NCRR), UL1 TR000073 and UL1 TR001064 (NCATS); University of Illinois: UL1TR000050 (CIC); UT Southwestern: 9U54TR000017-06 (CTSA); University of Utah: UL1TR000105-05 (CTSA); Vanderbilt University: UL1 TR000445 (NCATS); University of CA, Davis: UL1 TR000002 (CTSA); University of Florida: UL1 TR000064 (NCATS); and University of Michigan: UL1TR000433 (MICHR). VA Clinical Center Network Publication Acknowledgments: Y1-HV-0514-01 (NHLBI, NIDDK, NIA & NINDS).
Writing group members
Dr. Walter T. Ambrosius, Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, wambrosi@wakehealth.edu
Dr. Kaycee M. Sink, Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, kmsink@wakehealth.edu
Dr. Capri G. Foy, Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, cfoy@wakehealth.edu
Dr. Dan R. Berlowitz, Center for Healthcare Organization and Implementation Research, Bedford Veterans Affairs Hospital, Bedford, MA, dan.berlowitz@va.gov
Dr. Alfred K. Cheung, Department of Internal Medicine, University of Utah, Salt Lake City, UT, alfred.cheung@hsc.utah.edu
Dr. William C. Cushman, Preventive Medicine Section, Veterans Affairs Medical Center, Memphis, TN, william.cushman@va.gov
Dr. Lawrence J. Fine, Clinical Applications and Prevention Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD, finel@nhlbi.nih.gov
Dr. David C. Goff, Jr., Department of Epidemiology, Colorado School of Public Health, Aurora, CO, david.goff@ucdenver.edu
Dr. Karen C. Johnson, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, kjohnson@uthsc.edu
Dr. Anthony A. Killeen, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, akilleen@umn.edu
Dr. Cora E. Lewis, Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, celewis@uabmc.edu
Dr. Suzanne Oparil, Division of Cardiovascular Disease, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, soparil@uab.edu
Dr. David M. Reboussin, Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, drebouss@wakehealth.edu
Dr. Michael V. Rocco, Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, mrocco@wakehealth.edu
Joni K. Snyder, Clinical Applications and Prevention Branch, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, Bethesda, MD, Joni.Snyder@nih.gov
Dr. Jeff D. Williamson, Section on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, jwilliam@wakehealth.edu
Dr. Jackson T. Wright, Jr., Department of Medicine, Case Western Reserve University, Cleveland, OH, jackson.wright@case.edu
Dr. Paul K. Whelton, Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, pkwhelton@gmail.com
SPRINT PUBLICATIONS ACKNOWLEDGMENT LIST
Study Leadership: Paul Whelton (Chair), Karen C. Johnson (Vice-Chair), Lawrence Fine (Project Officer), Joni Snyder (Deputy Project Officer).
Program Office: National Institutes of Health, Bethesda, Maryland: Diane Bild (Project Scientist), Denise Bonds (Project Scientist), Nakela Cook (Project Scientist), Jeffrey Cutler (Project Scientist), Susan Czajkowski (Project Scientist), Lawrence Fine (Project Officer), Peter Kaufmann (Project Scientist), Paul Kimmel (Project Scientist), Lenore Launer (Project Scientist), Claudia Moy (Project Scientist), William Riley (Project Scientist), Laurie Ryan (Project Scientist), Joni Snyder (Deputy Project Officer), Song Yang (Biostatistician)
SPRINT Clinical Center Networks: Case Western Reserve University, Cleveland, OH: Alberta Bee (CCN Asst. Project Manager), Alan J Lerner (CCN MIND PI), Mahboob Rahman (CCN Co-PI), Carolyn Still (CCN Project Manager, Co-I), Alan Wiggers (Co-I), Jackson T Wright Jr (CCN PI), Renee Dancie (former CCN Project Manager); Memphis Veteran Affairs Medical Center, Memphis, TN: William Cushman (PI), Barry Wall (Co-I), Linda Nichols (MIND PI), Robert Burns (MIND Consultant), Jennifer Martindale-Adams (MIND Consultant), Dan Berlowitz (Economic & HRQL Consultant), Elizabeth Clark (CCN Coordinator), Sandy Walsh (CCN Coordinator) Terry Geraci (CCN Coordinator) Carol Huff (Budget Analyst), Linda Shaw (CCN Research Assistant). University of Alabama, Birmingham, AL: Suzanne Oparil (PI), Cora E. Lewis (Co-PI), Virginia Bradley (MIND Co-I), David Calhoun (Co-I), Stephen Glasser (Co-I), Kim Jenkins (CCN Coordinator), Tom Ramsey (CCN Coordinator); University of Utah, Salt Lake City, UT: Alfred K. Cheung (PI), Srinivasan Beddhu (Co-I), Gordon Chelune (MIND Co-I), Jeffrey Childs (Associate Director of Operations), Lisa Gren (Director of Operations), Anne Randall (CCN Coordinator); Wake Forest University Health Sciences, Winston-Salem, NC: Michael Rocco (PI), David Goff (Co-PI), Carlos Rodriguez (Co-I), Laura Coker (Co-I), Amret Hawfield (Co-I), Joseph Yeboah (Co-I), Lenore Crago (CCN Coordinator) John Summerson (CCN Coordinator), Anita Hege (MIND Coordinator).
SPRINT Central Coordinating Center: Wake Forest University Health Sciences, Winston- Salem, NC: David Reboussin (PI), Jeff Williamson (Co-PI), Walter Ambrosius (Co-I), William Applegate (Co-I), Greg Evans (Co-I), Capri Foy (Co-I), Barry Freedman (Co-I), Dalane Kitzman (Co-I), Nick Pajewski (Co-I), Steve Rapp (Co-I), Scott Rushing (Co-I), Neel Shah (Co-I), Mara Vitolins (Co-I), Lynne Wagenknecht (Co-I), Valerie Wilson (Co-I), Kaycee M. Sink (Safety Officer), Brenda Craven (Program Director), Tim Craven (Biostatistician), Katelyn Garcia (Biostatistician), Sarah Gaussoin (Biostatistician), Laura Lovato (Biostatistician), Jill Newman (Biostatistician), Bobby Amoroso (Programmer), Jason Griffin (Programmer), Darrin Harris (Programmer), Mark King (Programmer), Kathy Lane (Programmer), Debbie Steinberg (Programmer), Donna Ashford (Project Manager), Loretta Cloud (Project Manager), Debbie Felton (Project Manager), Marjorie Howard (Project Manager), Pamela Nance (Project Manager), Letitia Perdue (Project Manager), Nicole Puccinelli-Ortega (Project Manager), Laurie Russell (Project Manager), Jennifer Walker (Project Manager), Nancy Woolard (Project Manager)
SPRINT Central Laboratory: University of Minnesota Advanced Research and Diagnostic Laboratory: Anthony A. Killeen (PI), Anna M. Lukkari (coordinator). Acknowledgement statement: This project was supported by Award Number N01-HC-95240. The content is solely the responsibility of the author and does not reflect the official views of the NHLBI.
SPRINT Drug Distribution Center: VA Cooperative Studies Program Clinical Research Pharmacy Coordinating Center: Robert Ringer (PI), Brandi Dillard (coordinator), Stuart Warren (Co-I), Mike Sather (PI), James Pontzer (coordinator), Zach Taylor (coordinator).
SPRINT ECG Reading Center: Epidemiological Cardiology Research Center (EPICARE), Winston Salem, NC: Elsayed Z Soliman (PI), Zhu-Ming Zhang (Co-I), Yabing Li (coordinator), Chuck Campbell (coordinator), Susan Hensley (coordinator), Julie Hu (coordinator), Lisa Keasler (coordinator), Mary Barr (coordinator), Tonya Taylor (coordinator)
SPRINT MRI Reading Center: University of Pennsylvania-Philadelphia, PA: R. Nick Bryan (PI), Christos Davatzikos (Co-I), Ilya Nasarallah (Co-I), Lisa Desiderio (Project Manager), Mark Elliott (MRI Physicist), Ari Borthakur (MRI Physicist), Harsha Battapady (Data Analyst), Guray Erus ( Postdoctoral Fellow), Alex Smith (Postdoctoral Fellow), Ze Wang (Research Associate), Jimit Doshi (Data Analyst). SPRINT MRI by site: University of Pennsylvania-Philadelphia, PA: Raymond Townsend (Clinic PI), Debbie Cohen (Co-I), Yonghong Huan (Co-I), Mark Duckworth (Research Coordinator), Virginia Ford (Research Coordinator), Kelly Sexton (MRI Coordinator). University Hospital Case Medical Center-Cleveland, OH: Jackson T. Wright, Jr. (PI), Alan Lerner (Co-I), Mahboob Rahman (Co-I), Carolyn Still (Project Manager), Alberta Bee (Research Coordinator), Debra Lee Stokes, (MRI coordinator), Shonte Smith (MRI coordinator), Jeffrey Sunshine (Site Radiologist), Mark Clampitt (MRI Technologist). Vanderbilt University: Seth Smith (MRI Director), Brian Welch (MRI Research Manager), Manus Donahue ( MRI Physicist), Alex Dagley (Researcher Coordinator), Dave Pennell (MRI Technologist), Chris Cannistraci (Imaging Research Specialist), Kristin Merkle (MRI Research Coordinator), Julie Lewis (Clinic PI) Mohammed Sika (Research Coordinator). University of Miami: Clinton Wright (Co-I), Mohammad Sabati (MRI Director), Edward Campuzano (Chief MRI Technologist), Hector Martin (MRI Technologist), Andrea Roman (MRI Technologist), Jesus Cruz (MRI Technologist), Natalya Nagornaya (Site Radiologist). Wake Forest University: Laura Coker (Co-I), Anita Hege (Project Coordinator), Joseph Maldjian (Site Radiologist), Sandra Kaminsky (MRI Technologist), Debra Fuller (MRI Technologist), Youngkoo Jung (MRI Physicist). University of Alabama at Birmingham: Suzanne Oparil (Network PI), Beth Lewis (Co-PI), Virginia Wadley (MIND Co-I), Kim Jenkins (Project Coordinator), Tom Ramsey (Project Coordinator), William Evanochko (MRI Physicist), Glenn Roberson (Site Radiologist), Trina Corbitt (MRI Technologist), William Fisher (MRI Technologist), Cathy Clements (MRI Technologist). Boston University: Daniel Weiner (Clinic PI), Andrew Wells (Research Coordinator), Amanda Civiletto (Research Coordinator), Gerard P. Aurigemma (Clinic PI), Noelle Bodkin (Research Coordinator), Alex Norbash (Co-I,) Margaret Lavoye (Research Administrator), Andrew Ellison (MRI Technologist), Ronald Killiany (Imaging Center Director), Osama Sakai (Site Radiologist).
SPRINT Sub-Committee Chairs: Ancillary Science: Alfred Cheung, Design and Analysis: Walter Ambrosius, Economic Evaluation/Health Related Quality of Life: Dan Berlowitz, Intervention: William Cushman, Measurements, Procedures and Quality Control: Beth Lewis, Mortality and Morbidity: Suzanne Oparil, Presentations and Publications: Jackson T. Wright, Jr., Recruitment, Retention and Adherence: David Goff, Safety: Kaycee Sink,
SPRINT MIND: Jeff Williamson. SPRINT Clinical Centers by Network: OHIO Network: Cleveland Clinic Foundation-Cleveland, OH: George Thomas (PI), (Co-PI), Martin Schreiber, Jr (Co-I), Sankar Dass Navaneethan (Co-I), John Hickner (Co-I), Michael Lioudis (Co-I), Susan Marczewski (coordinator), Jennifer Maraschky (coordinator), Martha Colman (coordinator) Andrea Ababy (coordinator). Louis Stokes Cleveland VA Medical Center-Cleveland, OH: Mahboob Rahman (PI), Paul Draws (Co-I), Denise Kresevic (Co-I), Pratibha P. Raghavendra (Co-I), Scott Ober (Co-I), Ronda Mourad (Co-I), Lisa Tucker (coordinator), Bill Schwing (coordinator). MetroHealth Medical Center-Cleveland, OH: John Sedor (PI), Edward J. Horwitz (Co-PI), Jeffery Schellling (Co-I), Lisa Humbert (coordinator), Wendy Tutolo (coordinator). North East Ohio Neighborhood Health Center-Cleveland, OH: Suzanne White (PI), Robin Hughes (coordinator). University Hospital Case Medical Center-Cleveland, OH: Jackson T. Wright, Jr. (PI), Mirela Dobre (CoPI), Carolyn H. Still (Co-I), Alberta Bee (coordinator), Monique Williams (coordinator). The Ohio State University Medical Center, Division of Nephrology and Hypertension-Columbus, OH: Udayan Bhatt (PI), Anil Agarwal (Co-PI), Melissa Brown (coordinator), Nicole Ford (coordinator), Cynthia Stratton (coordinator), Jody Baxter (coordinator), Alicia A. Lykins (coordinator), Alison McKinley Neal (coordinator) Leena Hirmath (coordinator). The Ohio State University Medical Center, Division of Endocrine, Diabetes, and Metabolism-Columbus, OH: Osei Kwame (PI), William F. Miser (Co-PI), Colleen Sagrilla (coordinator), Jan Johnston (coordinator), Amber Anaya (coordinator) Kelly Rogers (Coordinator). University Hospitals Landerbrook Health Center-Mayfield Height, OH: Donald Ebersbacher (PI), Lucy Long (coordinator), Beth Bednarchik (coordinator). University Hospitals Glenridge Office Park-North Royalton, OH: Alan Wiggers (PI), Lucy Long (coordinator). University Hospitals Suburban Health-Cleveland, OH: Adrian Schnall (PI), Jonathan Smith (coordinator), Lori Peysha (coordinator). University Hospitals Otis Moss Jr. Health Center-Cleveland, OH: Carla Harwell (PI), Pinkie Ellington (coordinator). SUNY Downstate Medical College-Brooklyn, New York: Mary Ann Banerji (PI), Pranav Ghody (Co-I), Melissa Vahudeh Rambaud (coordinator). University of Pennsylvania-Philadelphia, PA: Raymond Townsend (PI), Debbie Cohen (Co-I), Yonghong Huan (Co-I), Mark Duckworth (coordinator), Virginia Ford (coordinator), Juliet Leshner (coordinator), Vander Veen, Sarah (coordinator). Temple University-Philadelphia, PA: Crystal. Gadegbeku (PI), Avi Gillespie (Co-I), Sandra Amoroso (coordinator), Zoe Pfeffer (coordinator). Tulane University-New Orleans, LA: Jiang He (PI), Jing Chen (Co-I), Eva Lustigova (coordinator), Jackie Dolan (coordinator), Lanie Sansing (coordinator), Erin Malone (coordinator), Bernadette Borja (coordinator). Ochsner Clinic Foundation-New Orleans, LA: Marie Krousel-Wood (PI), Richard Deichmann (Co-I), Patricia Ronney (Co-I), Susan Muery (coordinator), Donnalee Trapani (coordinator). CWRU CCN Publication Acknowledgements: CWRU: This publication was made possible by the Clinical and Translational Science Collaborative of Cleveland, UL1TR000439 from the National Center for Advancing Translational Sciences (NCATS) component of the National Institutes of Health and NIH roadmap for Medical Research. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH. OSU: The project described was supported by Award Number UL1RR025755 from the National Center for Research Resources. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Center for Research Resources or the National Institutes of Health. U Penn: The project described was supported by the National Center for Research Resources, Grant UL1RR024134, and is now at the National Center for Advancing Translational Sciences, Grant UL1TR000003. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. SOUTHEAST Network: Georgia Regents University, Augusta, GA: Matt Diamond (PI), Laura Mulloy (PI), Heather Anderson, (coordinator), Emily Stone (coordinator), Walida Walker (coordinator), Charlene Weathers (coordinator). Carolinas Medical Center, Charlotte, NC: Andrew McWilliams (PI), Michael Dulin (co-I), Lindsay Kuhn (Co-PI), Susan Standridge (coordinator), Kelry Preston (coordinator), Susan Norton (coordinator), Silena Gaines (coordinator). University of South Carolina, Columbia, SC: Ali A. Rizvi (PI), Andrew W. Sides (Co-PI), Matthew M. Hix (coordinator), Philip Hutchinson (coordinator), Joseph Espiritu (coordinator). Duke University, Durham, NC: Mark Feinglos (PI), Eugene Kovalik (Co-PI), Georgianne Gedon-Lipscomb (coordinator), Kathryn Evans (coordinator), MaryAnn Mason (coordinator), Ronna Zimmer (coordinator), Mary Furst (coordinator). East Carolina University, Greenville, NC: James Powell (PI), Paul Bolin (Co-PI), Junhong Zhang (Co-PI), Presley Phelps (coordinator), Connie Garris-Sutton (coordinator), Beatrice Atkinson (coordinator), Winifred Bryant (coordinator). University of Miami, Miami, FL: Gabriele Contreras (PI), Maritza Suarez (Co-PI), Ivonne Schulman (Co-PI), Don Koggan (coordinator), Jackie Vassallo (coordinator), Gloria Peruyera (coordinator). Wake Forest Nephrology, Winston Salem, NC: Michael Rocco (PI), Amret Hawfield (Co-PI), Cassandra Bethea (coordinator), Laura Gilliam (coordinator). Wake Forest Downtown Health Plaza, Winston Salem, NC: Carolyn Pedley (PI), Geraldine Zurek (coordinator), Miriam Baird (coordinator), Mary Martha Smoak (coordinator). Wake Forest Geriatrics, Winston Salem, NC: Julie Williams (PI), Samantha Rogers (Co-PI), Lindsay Gordon (coordinator), Jessica McCorkle-Doomy (coordinator), Erin Kennedy (coordinator), Jonathan Adams (coordinator), Dana Chamberlain (coordinator). University of South Florida, Tampa, FL: Ramon Lopez (PI), Juris Janavs (coordinator). Emory University, Atlanta, GA: Arlene Chapman (PI), Allen Dollar (Co-PI), Olubunmi Williams (coordinator), Yoosun Han (coordinator). The Mayo Clinic Jacksonville, Jacksonville, FL: William Haley (PI), Peter Fitzpatrick (Co-PI), Joseph Blackshear (Co-PI), Brian Shapiro (Co-PI), Ashley Johnson (coordinator), Heath Gonzalez (coordinator), Anna Harrell (coordinator), Jermain Robinson (coordinator). Miami VA, Miami, FL: Leonardo Tamariz (PI), Ivonne Schulman (Co-PI), Jennifer Denizard (coordinator), Dhurga Krishnamoorthy (coordinator). Pennington Biomedical Research, Baton Rouge, LA: Frank Greenway (PI), Timothy Church (PI), Chelsea Hendrick (coordinator), Aimee Yoches (coordinator), Leighanne Sones (coordinator), Markee Baltazar (coordinator). Morehouse School of Medicine, Atlanta, GA: Priscilla Pemu (PI), Connie Jones (coordinator), Derrick Akpalu (coordinator). UTAH Network: Boston University Medical Center, Boston MA: Laura Dember (PI), Denise Soares (coordinator). Henry Ford Hospital, Detroit MI: Jerry Yee (PI), Kausik Umanath (Co-PI), Naima Ogletree (Sub-I), Schawana Thaxton (Sub-I), Karen Campana (coordinator), Dayna Sheldon (coordinator), Krista MacArthur (coordinator). Intermountain Health Care, Salt Lake City UT: J. Brent Muhlestein (PI), Nathan Allred (Co-I), Brian Clements (Co-I), Ritesh Dhar (Co-I), Kent Meredith (Co-I), Viet Le (Co-I), Edward Miner (Co-I), James Orford (Co-I), Erik R. Riessen (Co-I), Becca Ballantyne (coordinator), Ben Chisum (coordinator), Kevin Johnson (coordinator), Dixie Peeler (coordinator). Stanford University, Palo Alto CA: Glenn Chertow (PI), Manju Tamura (Co-PI), Tara Chang (Co-I), Kevin Erickson (Co-I), Jenny Shen (Co-I), Randall S. Stafford (Co-I), Gregory Zaharchuk (Co-I), Margareth Del Cid (coordinator), Michelle Dentinger (coordinator), Jennifer Sabino (coordinator), Rukmani Sahay (coordinator), Ekaterina (Katie) Telminova (coordinator). Tufts Medical Center, Boston MA: Daniel E. Weiner (PI), Mark Sarnak (Co-I), Lily Chan (coordinator), Amanda Civiletto (coordinator), Alyson Heath (coordinator), Amy Kantor (coordinator), Priyanka Jain (coordinator), Bethany Kirkpatrick (coordinator), Andrew Well (coordinator), Barry Yuen (coordinator). University of Colorado, Denver, Denver CO: Michel Chonchol (PI), Beverly Farmer (coordinator), Heather Farmer (coordinator), Carol Greenwald (coordinator), Mikaela Malaczewski (coordinator). University of Illinois, Chicago, Chicago IL: James Lash (PI), Anna Porter (Co-I), Ana Ricardo (Co-I), Robert T. Rosman (Co-I), Janet Cohan (coordinator), Nieves Lopez Barrera (coordinator), Daniel Meslar (coordinator), Patricia Meslar (coordinator). University of Pittsburgh, Pittsburgh PA: Margaret (Molly) Conroy (PI), Mark Unruh (PI), Rachel Hess (Co-PI), Manisha Jhamb (Co-I), Holly Thomas (Co-I), Pam Fazio (coordinator), Elle Klixbull (coordinator), Melissa Komlos-Weimer (coordinator), LeeAnne Mandich (coordinator), Tina Vita (coordinator). University of Texas Southwestern, Dallas TX: Robert Toto (PI), Peter Van Buren (Co-I), Julia Inrig (Co-I), Martha Cruz (coordinator), Tammy Lightfoot (coordinator), Nancy Wang (coordinator), Lori Webster (coordinator). University of Utah, Salt Lake City UT: Srinivasan Beddhu (PI), Kalani Raphael (Co-I), Barry Stults (Co-I), Tahir Zaman (Co-I), Debra Simmons (Co-I), Tooran Lavasani (nurse practitioner), Rebecca Filipowicz (Sr. research analyst), Guo Wei (Sr research analyst), Gracie Mary Miller (coordinator), Jenice Harerra (coordinator), Jeff Christensen (Clinical research assistant), Ajay Giri (Clinical research assistant), Xiaorui Chen (graduate research assistant), Natalie Anderton (graduate research assistant), Arianna Jensen (undergraduate research assistant). Vanderbilt University, Nashville TN: Julia Lewis (PI), Anna Burgner (Co-I), Jamie P. Dwyer (Co-I), Gerald Schulman (Co-I), Terri Herrud (coordinator), Ewanda Leavell (coordinator), Tiffany McCray (coordinator), Edwina McNeil-Simaan (coordinator), Munmun Poudel (coordinator), Malia Reed (coordinator), Mohammed Sika (coordinator), Delia Woods (coordinator), Janice L. Zirkenbach (coordinator). George Washington University, Washington DC: Dominic S. Raj (PI), Scott Cohen (Co-I), Samir Patel (Co-I), Manuel Velasquez (Co-I), Roshni S. Bastian (coordinator), Maria Wing (coordinator) Akshay Roy-Chaudhury (Coordinator). University of California, Davis, Sacramento CA: Thomas Depner (PI), Lorien Dalyrymple (Co-I), George Kaysen (Co-I), Susan Anderson (coordinator). Salt Lake City VA, Salt Lake City UT: Srinivasan Beddhu (PI), John Nord (Co-I), Debra Simmons (Co-I), Gracie Mary Miller (coordinator), Jenice Harerra (coordinator), Ajay Giri (Clinical research assistant). Veterans Medical Research Foundation, San Diego CA: Joachim H. Ix (PI), Leonard Goldenstein (Co-PI), Cynthia M. Miracle (Co-I), Nketi Forbang (coordinator), Maja Mircic (coordinator), Brenda Thomas (coordinator), Tiffany Tran (coordinator). UCLA, Los Angeles CA: Anjay Rastogi (PI), Mihae Kim (Sub-PI), Mohamad Rashid (Co-PI), Bianca Lizarraga (coordinator), Amy Hocza (coordinator), Kristine Sarmosyan (coordinator), Jason Norris (coordinator), Tushar Sharma (coordinator), Amanda Chioy (coordinator), Eric Bernard (coordinator), Eleanore Cabrera (coordinator), Christina Lopez (coordinator), Susana Nunez (coordinator), Joseph Riad (coordinator), Suzanne Schweitzer (coordinator), Siran Sirop (coordinator), Sarah Thomas (coordinator), Lauren Wada (coordinator). Loyola University Medical Center, Chicago IL: Holly Kramer (PI), Vinod Bansal (Co-PI), Corliss E. Taylor (coordinator). University of Florida, Gainesville FL: Mark S. Segal (PI), Karen L. Hall (Co-I), Amir Kazory (Co-I), Lesa Gilbert (coordinator), Linda Owens (coordinator), Danielle Poulton (coordinator), Elaine Whidden (coordinator). University of Michigan, Ann Arbor MI: Caroline Blaum (PI), Jocelyn (Jo) Wiggins (PI), Tanya Gure (Co-I), Linda Nyquist (Co-I), Eileen Robinson (coordinator). UTAH CCN Publication Acknowledgments: Boston: The trial was supported by a CTSA grant UL1 RR025771. Stanford: Spectrum is part of the Clinical and Translational Science Award (CTSA) program, funded by the National Center for Advancing Translational Sciences (Grant: UL1 TR000093) at the National Institutes of Health (NIH). All publications resulting from the use of Spectrum resources must cite this grant number. Tufts: The project described was supported by the National Center for Research Resources Grant Number UL1RR025752 and the National Center for Advancing Translational Sciences, national Institutes of Health, Grant Numbers UL1 TR000073 and UL1 TR001064. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. University of Illinois: The project described was supported by Grant number UL1TR000050, Clinical Interface Core. UT Southwestern: The current CTSA grant number is 9U54TR000017-06. University of Texas Southwestern Clinical and Translational Alliance for Research. University of Utah: CTSA Grant number is UL1TR000105-05. Center for Clinical and Translational Science. Vanderbilt University: Research reported in this publication was supported by the National Center for Advancing Translational Sciences of the National Institute of Health under Award Number UL1 TR000445. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Vanderbilt Institute for Clinical and Translational Research (VICTR). University of CA, Davis: CTSA Grant number UL1 TR000002. National Center for Advancing Translational Sciences. University of Florida: This work is supported in part by the NIH/NCATS Clinical and Translational Science Award to the University of Florida, Award Number UL1 TR000064; UF Clinical Research Center (UF CRC). University of Michigan: This work is supported in part by the Michigan Institute for Clinical and Health Research, Award Number UL1TR000433. UAB Network: Athens Internal Medicine, Athens, AL: Nauman Qureshi (PI), Karen Ferguson (coordinator), Sumrah Haider (coordinator), Mandy James (coordinator), Christy Jones (coordinator), Kim Renfroe (coordinator), April Seay (coordinator), Carrie Weigart (coordinator). UAB - The Chronic Kidney Disease Clinic, Birmingham, AL: Denyse Thornley-Brown (PI), Dana Rizik (Co-I), Bari Cotton (coordinator), Meredith Fitz-Gerald (coordinator), Tiffany Grimes (coordinator), Carolyn Johnson (coordinator), Sara Kennedy (coordinator), Chanel Mason (coordinator), Lesa Rosato-Burson (coordinator), Robin Willingham (coordinator). UAB - Vascular Biology and Hypertension Clinic, Birmingham, AL: David Calhoun (PI), Eric Judd (Co-I), Tonya Breaux-Shropshire (coordinator), Felice Cook (coordinator), Julia Medina (coordinator). Nephrology Associates, P.C., Birmingham, AL: James Lewis (PI), Roman Brantley (Co-I), John Brouilette (Co-I), Jeffrey Glaze (Co-I), Stephanie Hall (Co-I), Nancy Hiott (Co-I), David Tharpe (Co-I), Spencer Boddy (coordinator), Catherine Mack (coordinator). University of Tennessee Health Science Center, Memphis, TN: Karen C. Johnson (PI) Catherine Womack (Co–I), Beate Griffin (coordinator), Carol Hendrix (coordinator), Karen Johnson (coordinator), Lisa Jones (coordinator), Chelsea Towers (coordinator). Punzi Medical Center and Trinity Hypertension Research, Carrollton, TX: Henry Punzi (PI), Kathy Cassidy (coordinator), Kristin Schumacher (coordinator). Family Care Practice, Fajardo, Puerto Rico: Carmen Irizarry (PI), Ilma Colon (coordinator). Centro Cardiovascular de Caguas, El Verde, Caguas, Puerto Rico: Pedro Colon-Ortiz (PI), Pedro Colon-Hernandez (Co-I), Merari Carrasquillo (coordinator), Nivea Vazquez (coordinator). Miguel Sosa-Padilla, Private Practice San Juan, Puerto Rico: Miguel Sosa-Padilla (PI), Alex Cintron-Pinero (Co-I), Mayra Ayala (coordinator), Olga Pacheco (coordinator), Catalina Rivera (coordinator) Irma Sotomayor-Gonzalez (coordinator). Altamira Family Practice and Research Institute Center, San Juan, Puerto Rico: Jamie Claudio (PI), Jose Lazaro (coordinator), Migdalia Arce (coordinator), Lourdes Heres (coordinator), Alba Perez (coordinator). Centro Clinico San Patricio, San Juan, Puerto Rico: Jose Tavarez-Valle (PI), Ferlinda Arocho (coordinator), Mercedes Torres (coordinator), Melvaliz Vazquez (coordinator). University of Massachusetts – Worchester, MA: Gerard P. Aurigemma (PI), Rebecca Takis- Smith (Co-I), Julia Andrieni (Co-I), Noelle Bodkin (coordinator), Kiran Chaudhary (coordinator), Paula Hu (coordinator). Rutgers-Robert Wood Johnson Medical School, New Brunswick, New Jersey: John Kostis (PI), Nora Cosgrove (coordinator), Denise Bankowski (coordinator), Monica Boleyn (coordinator), Laurie Casazza (coordinator), Victoria Giresi (coordinator), Tosha Patel (coordinator), Erin Squindo (coordinator), Yan Wu (coordinator). University of Mississippi Medical Center CRP – Jackson, MS: Marion Wofford (PI), Michael Flessner (Co-I), Cathy Adair (coordinator). Nashville Medical Group, Nashville, TN: Jordan Asher (PI), Debbie Loope (coordinator), Rita Cobb (coordinator), Reiner Venegas (coordinator). New York Irving Pavilion Research, Columbia University, New York, NY: Thomas Bigger (Director), Daniel Donovan (PI), Carlos Lopez-Jimenez (Co-I), Amilcar Tirado (coordinator). New York, Irving Pavilion Research Unit – CTSA Satellite, Columbia University, New York, NY: Thomas Bigger (Director), Asqual Getaneh (PI), Rocky Tang (coordinator), Sabrina Durant (coordinator). Clinical Cardiovascular Research Lab for the Elderly, Columbia University, New York, NY: Thomas Bigger (Director), Mathew Maurer (PI), Sergio Teruya (Co-I) Stephen Helmke (coordinator), Julissa Alvarez (coordinator). Medical University of South Carolina Nephrology, Charleston, SC: Ruth Campbell (PI), Roberto Pisoni (Co-I), Rachel Sturdivant (Co-I), Caroline Counts (coordinator), Vickie Hunt (coordinator), Lori Spillers (coordinator). Great Lakes Medical Research, Westfield, NY: Donald Brautigam (PI), Timothy Kitchen (Co-I), Timothy Gorman (Co-I) Jessica Sayers (coordinator), Sarah Button (coordinator), June Chiarot (coordinator), Rosemary Fischer (coordinator), Melissa Lyon (coordinator), Maria Resnick (coordinator). New Mexico VA Healthcare System – Albuquerque, NM: Karen Servilla (PI), Darlene Vigil (Co-I), Terry Barrett (coordinator), Mary Meyers (coordinator). Atlanta VAMC – Atlanta GA: Mary Ellen Sweeney (PI), Rebecca Johnson (Co-I), Susan McConnell (Co-I), Khadijeh Shahid Salles (Co-I), Francoise Watson (Co-I), Maxine Maher (coordinator), Cheryl Schenk (coordinator), Laura Whittington (coordinator). VA Boston Healthcare System – Jamaica Plain, MA: Stephen Swartz (PI), Paul Conlin (Co-I), Jonathan Williams (Co-I), George Alexis (coordinator), Helen Gomes (coordinator), Rebecca Lamkin (coordinator). James J. Peters VAMC – Bronx, NY: Clive Rosendorff (PI), Stephen Atlas (Co-I), Nisharahmed Kherada (Co-I), Waddy Gonzalez (Co-I), Samih Barcham (coordinator). Ralph H. Johnson VAMC – Charleston, SC: Joseph John (PI), Shakaib Rehman (PI), Jan Basile (Co-I), Michael Kagan (Co-I), Hadi Baig (coordinator), Deborah Ham (coordinator). Dayton VAMC – Dayton, OH: Mohammed Saklayen (PI), Jason Yap (Co-I), Carol Miller (coordinator), Helen Neff (coordinator). John D. Dingell VAMC – Detroit, MI: Saib Gappy (PI), Arathi Raman (Co-I), Shiva Rau (Co-I), Vicki Berchou (coordinator), Elizabeth Jones (coordinator), Erin Olgren (coordinator). VA New Jersey Healthcare System – East Orange, NJ: Sithiporn Sastrasinh (PI), Jessica Fiore (coordinator), Marianne Kutza (coordinator). Malcom Randall VAMC – Gainesville, FL: Ronald Shorr (PI), Anthony Bavry (Co-I), Rattana Mount (Co-I), Mark Segal (Co-I), Jeremy Thoms (Co-I), Denise Waddell (Co-I), Helen Dunn (coordinator), Jessica Hunter (coordinator), Susan Stinson (coordinator). Michael E. DeBakey VAMC – Houston, TX: Addison Taylor (PI), Jeffery Bates (Co-I), Jennifer Cowart, (Co-I), Shawn Ragbir (Co-I), Catherine Anderson (coordinator), Charlyne Wright (coordinator). G.V. (Sonny) Montgomery VAMC – Jackson, MS: Kent Kirchner (PI), Jodi Stubbs (Co-I), Ardell Hinton (coordinator), Anita (Kaye) Spencer (coordinator). Kansas City VAMC – Kansas City, MO: Santosh Sharma (PI), Thomas Wiegmann (PI), Archana Goel (Co-I), Amina Khan (Co-I), Virginia Savin (Co-I), Smita Mehta (coordinator). John L. McClellan Memorial Veterans Hospital – Little Rock, AR: Michelle Krause (PI), Debra Simmons (PI), Karl Straub (Co-I), Kate Dishongh (coordinator). Memphis VAMC – Memphis, TN: Barry Wall (PI), Jaya Adabala, (Co-I), Richard Childress (Co-I), William Cushman (Co-I), Geeta Gyamlani (Co-I), Atossa Niakan (Co-I), Cathy Thompson (Co-I), Janelle Moody (coordinator). Clement J. Zablocki VAMC – Milwaukee, WI: Jeffrey Whittle (PI), Gary Barnas (Co-I), Dawn Wolfgram, (Co-I), Heidi Cortese (coordinator). Nashville VAMC/TVHS-GRECC – Nashville, TN: Christianne Roumie (PI), Adriana Hung (Co-I), Kurt Niesner (coordinator), Jennifer Wharton (coordinator). VA New York Harbor Healthcare System – New York, NY: Lois Katz (PI), George Brock (coordinator), Elizabeth Richardson (coordinator). Northport VAMC – Northport, NY: Troy Dixon (PI), Joanne Holland (Co-I), Athena Zias, (Co-I), Christine Spiller (coordinator). Phoenix VA Healthcare System – Phoenix, AZ: James Felicetta (PI), Penelope Baker (Co-I), Shakaib Rehman (Co-I), Penny Carrel (coordinator). Portland VAMC – Portland, OR: Suzanne Watnick (PI), Jessica Weiss (Co-I), Tera Johnston (coordinator), Jacqueline Walczyk (coordinator). St. Louis VA Healthcare System – St. Louis, MO: Stephen Giddings (PI), Andrew Klein (PI), Caroline Rowe (Co-I), Linda Conwill (coordinator), Kristin Vargo (coordinator), Kristi Waidmann (coordinator). Washington, D.C. VAMC – Washington, D.C.: Vasilios Papademetriou (PI), Jean Pierre Elkhoury (Co-I), Susan Amodeo (coordinator), Mary Bloom (coordinator), Barbara Gregory (coordinator), Katherine Hare (coordinator). West Los Angeles VA Healthcare Center/Greater Los Angeles Healthcare System – Los Angeles, CA: Dalia Goldfarb-Waysman (PI), Richard Treger (Co-I), Karen Knibloe (coordinator). Minneapolis VAMC – Minneapolis, MN: Areef Ishani (PI), Yelena Slinin (Co-I), Christine Olney (coordinator). Audie L. Murphy Memorial Veterans Hospital – South Texas Veterans Healthcare System – San Antonio, TX: Paolo Fanti (PI), Shweta Bansal (Co-I), Monica Dunnam (Co-I), Christopher Dyer (Co-I), Lih-Lan Hu (coordinator), Perla Zarate-Abbott (coordinator). VA CCN Publication Acknowledgments: The Systolic Blood Pressure Intervention Trial is funded in whole or in part with Federal funds from the National Heart, Lung, and Blood Institute, the National Institute of Diabetes and Digestive and Kidney Diseases, the National Institute on Aging and the National Institute of Neurological Disorders and Stroke, under VA Interagency Agreement Contract Number: Y1- HV-0514-01.
Footnotes
ClinicalTrials.gov Identifier: NCT01206062
Reference List
- 1.Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, He J. Global burden of hypertension: analysis of worldwide data. The Lancet. 2005;365:217–23. doi: 10.1016/S0140-6736(05)17741-1. [DOI] [PubMed] [Google Scholar]
- 2.Franklin SS, Jacobs MJ, Wong ND, L’Italien GJ, Lapuerta P. Predominance of isolated systolic hypertension among middle-aged and elderly US hypertensives: analysis based on National Health and Nutrition Examination Survey (NHANES) III. Hypertension. 2001;37:869–74. doi: 10.1161/01.hyp.37.3.869. [DOI] [PubMed] [Google Scholar]
- 3.Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL, Jr, et al. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA. 2003;289:2560–72. doi: 10.1001/jama.289.19.2560. [DOI] [PubMed] [Google Scholar]
- 4.Collins R, Peto R, Macmahon S, Hebert P, Fiebach NH, Eberlein KA, et al. Blood pressure, stroke, and coronary heart disease. Part 2, Short-term reductions in blood pressure: overview of randomised drug trials in their epidemiological context. Lancet. 1990;335:827–38. doi: 10.1016/0140-6736(90)90944-z. [DOI] [PubMed] [Google Scholar]
- 5.Gillum RF. Cardiovascular disease in the United States: an epidemiologic overview. Cardiovasc Clin. 1991;21:3–16. [PubMed] [Google Scholar]
- 6.Hsu CY, McCulloch CE, Darbinian J, Go AS, Iribarren C. Elevated blood pressure and risk of end-stage renal disease in subjects without baseline kidney disease. Archives of Internal Medicine. 2005;165:923–8. doi: 10.1001/archinte.165.8.923. [DOI] [PubMed] [Google Scholar]
- 7.Jackson R. Guidelines on preventing cardiovascular disease in clinical practice. BMJ. 2000;320:659–61. doi: 10.1136/bmj.320.7236.659. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Levy D, Larson MG, Vasan RS, Kannel WB, Ho KK. The progression from hypertension to congestive heart failure. JAMA. 1996;275:1557–62. [PubMed] [Google Scholar]
- 9.Macmahon S, Peto R, Cutler J, Collins R, Sorlie P, Neaton J, et al. Blood pressure, stroke, and coronary heart disease. Part 1, Prolonged differences in blood pressure: prospective observational studies corrected for the regression dilution bias. Lancet. 1990;335:765–74. doi: 10.1016/0140-6736(90)90878-9. [DOI] [PubMed] [Google Scholar]
- 10.Lewington S, Clarke R, Qizilbash, Peto, Collins R Prospective Studies Collaboration. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet. 2002;360:1903–13. doi: 10.1016/s0140-6736(02)11911-8. [DOI] [PubMed] [Google Scholar]
- 11.Sacco RL, Boden-Albala B, Abel G, Lin IF, Elkind M, Hauser WA, et al. Race-ethnic disparities in the impact of stroke risk factors: the northern Manhattan stroke study. Stroke. 2001;32:1725–31. doi: 10.1161/01.str.32.8.1725. [DOI] [PubMed] [Google Scholar]
- 12.Staessen JA, Fagard R, Thijs L, Celis H, Arabidze GG, Birkenhager WH, et al. Randomised double-blind comparison of placebo and active treatment for older patients with isolated systolic hypertension. The Systolic Hypertension in Europe (Syst-Eur) Trial Investigators. Lancet. 1997;350:757–64. doi: 10.1016/s0140-6736(97)05381-6. [DOI] [PubMed] [Google Scholar]
- 13.Vasan RS, Larson MG, Leip EP, Evans JC, O’Donnell CJ, Kannel WB, et al. Impact of high-normal blood pressure on the risk of cardiovascular disease. N Engl J Med. 2001;345:1291–7. doi: 10.1056/NEJMoa003417. [DOI] [PubMed] [Google Scholar]
- 14.Forette F, Seux ML, Staessen JA, Thijs L, Birkenhager WH, Babarskiene MR, et al. Prevention of dementia in randomised double-blind placebo-controlled Systolic Hypertension in Europe (Syst-Eur) trial. Lancet. 1998;352:1347–51. doi: 10.1016/s0140-6736(98)03086-4. [DOI] [PubMed] [Google Scholar]
- 15.Luchsinger JA, Mayeux R. Cardiovascular risk factors and Alzheimer’s disease. Curr Atheroscler Rep. 2004;6:261–6. doi: 10.1007/s11883-004-0056-z. [DOI] [PubMed] [Google Scholar]
- 16.Reitz C, Tang MX, Manly J, Mayeux R, Luchsinger JA. Hypertension and the risk of mild cognitive impairment. Arch Neurol. 2007;64:1734–40. doi: 10.1001/archneur.64.12.1734. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Skoog I, Gustafson D. Hypertension, hypertension-clustering factors and Alzheimer’s disease. Neurol Res. 2003;25:675–80. doi: 10.1179/016164103101201986. [DOI] [PubMed] [Google Scholar]
- 18.Skoog I, Lithell H, Hansson L, Elmfeldt D, Hofman A, Olofsson B, et al. Effect of baseline cognitive function and antihypertensive treatment on cognitive and cardiovascular outcomes: Study on COgnition and Prognosis in the Elderly (SCOPE) Am J Hypertens. 2005;18:1052–9. doi: 10.1016/j.amjhyper.2005.02.013. [DOI] [PubMed] [Google Scholar]
- 19.Skoog I, Gustafson D. Update on hypertension and Alzheimer’s disease. Neurol Res. 2006;28:605–11. doi: 10.1179/016164106X130506. [DOI] [PubMed] [Google Scholar]
- 20.Tzourio C, Anderson C, Chapman N, Woodward M, Neal B, Macmahon S, et al. Effects of blood pressure lowering with perindopril and indapamide therapy on dementia and cognitive decline in patients with cerebrovascular disease. Arch Intern Med. 2003;163:1069–75. doi: 10.1001/archinte.163.9.1069. [DOI] [PubMed] [Google Scholar]
- 21.Lim S, Vos T, Flaxman A, Danaei G, Shibuya K, Adair-Rohani H, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2224–60. doi: 10.1016/S0140-6736(12)61766-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Neal B, Macmahon S, Chapman N. Effects of ACE inhibitors, calcium antagonists, and other blood-pressure-lowering drugs: results of prospectively designed overviews of randomised trials. Blood Pressure Lowering Treatment Trialists’ Collaboration. Lancet. 2000;356:1955–64. doi: 10.1016/s0140-6736(00)03307-9. [DOI] [PubMed] [Google Scholar]
- 23.Psaty BM, Smith NL, Siscovick DS, Koepsell TD, Weiss NS, Heckbert SR, et al. Health outcomes associated with antihypertensive therapies used as first-line agents. A systematic review and meta-analysis. JAMA. 1997;277:739–45. [PubMed] [Google Scholar]
- 24.Beckett NS, Peters R, Fletcher AE, Staessen JA, Liu L, Dumitrascu D, et al. Treatment of hypertension in patients 80 years of age or older. New England Journal of Medicine. 2008;358:1887–98. doi: 10.1056/NEJMoa0801369. [DOI] [PubMed] [Google Scholar]
- 25.SHEP; Prevention of stroke by antihypertensive drug treatment in older persons with isolated systolic hypertension. Final results of the Systolic Hypertension in the Elderly Program (SHEP) SHEP Cooperative Research Group. JAMA. 1991;265:3255–64. [PubMed] [Google Scholar]
- 26.Cost effectiveness of intensive treatment of hypertension. Based on presentations by Donald S Shepard, PhD, and Dominic Hodgkin, PhD. Am J Managed Care. 1998;4:S765–S769. [PubMed] [Google Scholar]
- 27.Cruickshank JM, Pennert K, Sorman AE, Thorp JM, Zacharias FM, Sacharias FJ. Low mortality from all causes, including myocardial infarction, in well-controlled hypertensives treated with a beta-blocker plus other antihypertensives. J Hypertens. 1987;5:489–98. [PubMed] [Google Scholar]
- 28.Cruickshank JM. Antihypertensive treatment and the J-curve. Cardiovasc Drugs Ther. 2000;14:373–9. doi: 10.1023/a:1007856014581. [DOI] [PubMed] [Google Scholar]
- 29.Greenlund KJ, Croft JB, Mensah G. Prevalence of heart disease and stroke risk factors in persons with prehypertension in the United States, 1999–2000. Arch Intern Med. 2004;164:2113–8. doi: 10.1001/archinte.164.19.2113. [DOI] [PubMed] [Google Scholar]
- 30.Somes GW, Shorr RI, Pahor M. A new twist in the J-shape curve? J Am Geriatr Soc. 1999;47:1477–8. doi: 10.1111/j.1532-5415.1999.tb01573.x. [DOI] [PubMed] [Google Scholar]
- 31.Somes GW, Pahor M, Shorr RI, Cushman W, Applegate WB. The role of diastolic blood pressure when treating isolated systolic hypertension. Arch Intern Med. 1999;159:2004–9. doi: 10.1001/archinte.159.17.2004. [DOI] [PubMed] [Google Scholar]
- 32.The Action to Control Cardiovascular Risk in Diabetes (ACCORD) Study Group. Effects of intensive blood-pressure control in type 2 diabetes mellitus. New England Journal of Medicine. 2010;362:1575–85. doi: 10.1056/NEJMoa1001286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Wright JT, Jr, Agodoa L, Contreras G, Greene T, Douglas JG, Lash J, et al. Successful blood pressure control in the African American Study of Kidney Disease and Hypertension. Arch Intern Med. 2002;162:1636–43. doi: 10.1001/archinte.162.14.1636. [DOI] [PubMed] [Google Scholar]
- 34.National Heart, Lung, and Blood Institute. NHLBI. 2007 Available from: URL: http://www.nhlbi.nih.gov/meetings/workshops/hypertension-sum.htm.
- 35.SPRINT Protocol. SPRINT Protocol. 2012 Available from: URL: https://www.sprinttrial.org/public/Protocol_Current.pdf.
- 36.D’Agostino RB, Vasan RS, Pencina M. General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation. 2008;117:743–53. doi: 10.1161/CIRCULATIONAHA.107.699579. [DOI] [PubMed] [Google Scholar]
- 37.Lindholm LH, Carlberg B, Samuelsson O. Should beta blockers remain first choice in the treatment of primary hypertension? A meta-analysis. Lancet. 2005;366:1545–53. doi: 10.1016/S0140-6736(05)67573-3. [DOI] [PubMed] [Google Scholar]
- 38.ALLHAT Officers and Coordinators for the ALLHAT Collaborative Research Group. Major outcomes in high-risk hypertensive patients randomized to angiotensin-converting enzyme inhibitor or calcium channel blocker vs diuretic: The Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT) JAMA. 2002;288:2981–97. doi: 10.1001/jama.288.23.2981. [DOI] [PubMed] [Google Scholar]
- 39.Ernst ME, Carter BL, Goerdt CJ, Steffensmeier JJ, Phillips BB, Zimmerman BM, et al. Comparative antihypertensive effects of hydrochlorothiazide and chlorthalidone on ambulatory and office blood pressure. Hypertension. 2006;47:352–8. doi: 10.1161/01.HYP.0000203309.07140.d3. [DOI] [PubMed] [Google Scholar]
- 40.Five-year findings of the hypertension detection and follow-up program. I. Reduction in mortality of persons with high blood pressure, including mild hypertension. Hypertension Detection and Follow-up Program Cooperative Group. JAMA. 1979;1997:157–66. [PubMed] [Google Scholar]
- 41.Dahlof B, Linholm LH, Hansson L, Schersten B, Ekbom T, Wester PO. Morbidity and mortality in the Swedish Trial in Older Patients with Hypertension. Lancet. 1991;339:1281–5. doi: 10.1016/0140-6736(91)92589-t. [DOI] [PubMed] [Google Scholar]
- 42.The veterans RAND 12 item health survey: what it is and how it is used. VA. 2012 Available from: URL: http://www.va.gov/chqoer/VR12.pdf.
- 43.Selim A, Rogers W, Fleishman J, Qian S, Fincke B, Rothendler J, et al. Updated U.S. population standard for the Veterans RAND 12-item Health Survey (VR-12) Qual Life Res. 2009;18:43–52. doi: 10.1007/s11136-008-9418-2. [DOI] [PubMed] [Google Scholar]
- 44.Rabin R, de Charro F. EQ-5D: a measure of health status from the EuroQol Group. Ann med. 2001;33:337–43. doi: 10.3109/07853890109002087. [DOI] [PubMed] [Google Scholar]
- 45.Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. Journal of General Internal Medicine. 2001;16:606–13. doi: 10.1046/j.1525-1497.2001.016009606.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Spitzer RLKK. Validation and utility of a self-report version of prime-md: The phq primary care study. JAMA. 1999;282:1737–44. doi: 10.1001/jama.282.18.1737. [DOI] [PubMed] [Google Scholar]
- 47.Yardley L, Beyer N, Hauer K, Kempen G, Pilot-Ziegler C, Todd C. Development and initial validation of the Falls Efficacy Scale-International (FES-I) Age and Aging. 2005;34:614–9. doi: 10.1093/ageing/afi196. [DOI] [PubMed] [Google Scholar]
- 48.Rosen R, Brown C, Heiman J, et al. The female sexual function index (FSFI): a multidimensional self-report instrument for the assessment of female sexual function. Journal of Sex and Marital Therapy. 2000;26:191–208. doi: 10.1080/009262300278597. [DOI] [PubMed] [Google Scholar]
- 49.Wiegel M, Meston C, Rosen R. The female sexual function index (FSFI): cross-validation and development of clinical cutoff scores. Journal of Sex and Marital Therapy. 2005;31:1–20. doi: 10.1080/00926230590475206. [DOI] [PubMed] [Google Scholar]
- 50.Rosen RC, Cappelleri JC, Smith MD, Lipsky J, Pena BM. Development and evaluation of an abridged, 5-item version of the International Index of Erectile Function (IIEF-5) as a diagnostic tool for erectile dysfunction. International Journal of Impotence Research. 1999;11:319–26. doi: 10.1038/sj.ijir.3900472. [DOI] [PubMed] [Google Scholar]
- 51.Luepker RV, Apple FS, Christenson RH, Crow RS, Fortmann SP, Goff D, et al. Case Definitions for Acute Coronary Heart Disease in Epidemiology and Clinical Research Studies: A Statement From the AHA Council on Epidemiology and Prevention; AHA Statistics Committee; World Heart Federation Council on Epidemiology and Prevention; the European Society of Cardiology Working Group on Epidemiology and Prevention; Centers for Disease Control and Prevention; and the National Heart, Lung, and Blood Institute. Circulation. 2003;108:2543–9. doi: 10.1161/01.CIR.0000100560.46946.EA. [DOI] [PubMed] [Google Scholar]
- 52.Prineas RJ, Crow RS, Blackburn H. The Minnesota Code Manual of Electrocardiographic Findings. Boston: John Wright PSB; 1982. [Google Scholar]
- 53.Easton J, Saver J, Albers GW, Alberts M, Chaturvedi S, Feldmann E, et al. Definition and Evaluation of Transient Ischemic Attack: A Scientific Statement for Healthcare Professionals From the American Heart Association/American Stroke Association Stroke Council; Council on Cardiovascular Surgery and Anesthesia; Council on Cardiovascular Radiology and Intervention; Council on Cardiovascular Nursing; and the Interdisciplinary Council on Peripheral Vascular Disease: The American Academy of Neurology affirms the value of this statement as an educational tool for neurologists. Stroke. 2009;40:2276–93. doi: 10.1161/STROKEAHA.108.192218. [DOI] [PubMed] [Google Scholar]
- 54.World Health Organization. Cerebrovascular Disorders. Offset Publications; 1978. [Google Scholar]
- 55.Ay H, Benner T, Arsava EM, Furie KL, Singhal AB, Jensen MB, et al. A computerized algorithm for etiologic classification of ischemic stroke - The causative classification of stroke system. Stroke. 2007;38:2979–84. doi: 10.1161/STROKEAHA.107.490896. [DOI] [PubMed] [Google Scholar]
- 56.Gordon D, Bendixen B, Adams HJ, Clarke W, Kappelle L, Woolson R. Interphysician agreement in the diagnosis of subtypes of acute ischemic stroke: implications for clinical trials. The TOAST Investigators. Neurology. 1993;43:1021–7. doi: 10.1212/wnl.43.5.1021. [DOI] [PubMed] [Google Scholar]
- 57.Rosamond WD, Chang P, Baggett C, Bertoni A, Shahar E, Deswal A, et al. Classification of Heart Failure in the Atherosclerosis Risk in Communities (ARIC) Study: A Comparison With Other Diagnostic Criteria. Circulation. 2009;120:S506. doi: 10.1161/CIRCHEARTFAILURE.111.963199. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Pfeffer RI, Kurosaki TT, Harrah CHJ, Chance JM, Filos S. Measurement of functional activities in older adults in the community. J Gerontol. 1982;37:323–9. doi: 10.1093/geronj/37.3.323. [DOI] [PubMed] [Google Scholar]
- 59.Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society. 2005;53:695–9. doi: 10.1111/j.1532-5415.2005.53221.x. [DOI] [PubMed] [Google Scholar]
- 60.Rapp SR, Legault C, Espeland MA, Resnick SM, Hogan PE, Coker LH, et al. Validation of a cognitive assessment battery administered over the telephone. Journal of the American Geriatrics Society. 2012;60:1616–23. doi: 10.1111/j.1532-5415.2012.04111.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Welsh KA, Breitner JC, Magruderhabib KM. Detection of dementia in the elderly using telephone screening of cognitive status. Neuropsychiatry Neuropsychology and Behavioral Neurology. 1993;6:103–10. [Google Scholar]
- 62.Kawas C, Segal J, Stewart WF, Corrada M, Thal LJ. A validation study of the Dementia Questionnaire. Arch Neurol. 1994;51:901–6. doi: 10.1001/archneur.1994.00540210073015. [DOI] [PubMed] [Google Scholar]
- 63.Proschan MA, Lan KKG, Wittes JT. Statistical Monitoring of Clinical Trials: A Unified Approach. New York: Springer; 2006. [Google Scholar]
- 64.OHRP Guidance on Unanticipated Problems and Adverse Events. HHS. 2007 Available from: URL: http://www.hhs.gov/ohrp/policy/advevntguid.html.
- 65.Code of Federal Regulations Title 21: 21CFR312.32(a) FDA. 2013 Available from: URL: http://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/cfrsearch.cfm?fr=312.32.
- 66.Reboussin D, Espeland MA. The science of web-based clinical trial management. Clinical Trials. 2005;2:1–2. doi: 10.1191/1740774505cn059ed. [DOI] [PubMed] [Google Scholar]
- 67.Peters R, Beckett N, Forette F, Tuomilehto J, Clarke R, Ritchie C, et al. Incident dementia and blood pressure lowering in the Hypertension in the Very Elderly Trial cognitive function assessment (HYVET-COG): a double-blind, placebo controlled trial. Lancet Neurol. 2008;7:683–9. doi: 10.1016/S1474-4422(08)70143-1. [DOI] [PubMed] [Google Scholar]
- 68.NICE. Canadian Hypertension Education Program 2013. 2011. [Google Scholar]
- 69.James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J, et al. 2014 Evidence-Based Guideline for the Management of High Blood Pressure in Adults: Report From the Panel Members Appointed to the Eighth Joint National Committee (JNC 8) JAMA. 2013 Dec 18; doi: 10.1001/jama.2013.284427. Epub ahead of print. [DOI] [PubMed] [Google Scholar]
- 70.Benavente OR, Coffey CS, Conwit R, Hart RG, McClure LA, et al. SPS3 Study Group. Blood-pressure targets in patients with recent lacunar stroke: the SPS3 randomised trial. Lancet. 2013;382:507–15. doi: 10.1016/S0140-6736(13)60852-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Klahr S, Levey AS, Beck GJ, Caggiula AW, Hunsicker L, Kusek JW, et al. The effects of dietary protein restriction and blood-pressure control on the progression of chronic renal disease. Modification of Diet in Renal Disease Study Group. N Engl J Med. 1994;330:877–84. doi: 10.1056/NEJM199403313301301. [DOI] [PubMed] [Google Scholar]