Literature DB >> 28985268

Clinical Outcomes by Race and Ethnicity in the Systolic Blood Pressure Intervention Trial (SPRINT): A Randomized Clinical Trial.

Carolyn H Still1, Carlos J Rodriguez2, Jackson T Wright3,4, Timothy E Craven5, Adam P Bress6, Glenn M Chertow7, Paul K Whelton8, Jeffrey C Whittle9, Barry I Freedman10, Karen C Johnson11, Capri G Foy12, Jiang He8, John B Kostis13, James P Lash14, Carolyn F Pedley15, Roberto Pisoni16, James R Powell17, Barry M Wall18.   

Abstract

BACKGROUND: The Systolic Blood Pressure Intervention Trial (SPRINT) showed that targeting a systolic blood pressure (SBP) of ≤ 120 mm Hg (intensive treatment) reduced cardiovascular disease (CVD) events compared to SBP of ≤ 140 mm Hg (standard treatment); however, it is unclear if this effect is similar in all racial/ethnic groups.
METHODS: We analyzed SPRINT data within non-Hispanic White (NHW), non-Hispanic Black (NHB), and Hispanic subgroups to address this question. High-risk nondiabetic hypertensive patients (N = 9,361; 30% NHB; 11% Hispanic) 50 years and older were randomly assigned to intensive or standard treatment. Primary outcome was a composite of the first occurrence of a myocardial infarction, acute coronary syndrome, stroke, decompensated heart failure, or CVD death.
RESULTS: Average postbaseline SBP was similar among NHW, NHB, and Hispanics in both treatment arms. Hazard ratios (HRs) (95% confidence interval) (intensive vs. standard treatment groups) for primary outcome were 0.70 (0.57-0.86), 0.71 (0.51-0.98), 0.62 (0.33-1.15) (interaction P value = 0.85) in NHW, NHB, and Hispanics. CVD mortality HRs were 0.49 (0.29-0.81), 0.77 (0.37-1.57), and 0.17 (0.01-1.08). All-cause mortality HRs were 0.61 (0.47-0.80), 0.92 (0.63-1.35), and 1.58 (0.73-3.62), respectively. A test for differences among racial/ethnic groups in the effect of treatment assignment on all-cause mortality was not significant (Hommel-adjusted P value = 0.062) after adjustment for multiple comparisons.
CONCLUSION: Targeting a SBP goal of ≤ 120 mm Hg compared to ≤ 140 mm Hg led to similar SBP control and was associated with similar benefits and risks among all racial ethnic groups, though NHBs required an average of ~0.3 more medications. CLINICAL TRIALS REGISTRATION: Trial Number NCT01206062, ClinicalTrials.gov Identifier at https://clinicaltrials.gov/ct2/show/NCT01206062.
© The Author 2017. Published by Oxford University Press on behalf of American Journal of Hypertension, Ltd.

Entities:  

Keywords:  African Americans; Hispanics; blood pressure; clinical outcomes; clinical trials; hypertension; race and ethnicity

Mesh:

Substances:

Year:  2017        PMID: 28985268      PMCID: PMC5861531          DOI: 10.1093/ajh/hpx138

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


Racial and ethnic differences in cardiovascular disease (CVD) remain a major public health challenge in the United States.[1-3] Hypertension is one of the most important, modifiable CVD risk factors leading to coronary heart disease, stroke, end-stage renal disease, and overall mortality.[4-6] Non-Hispanic Black (NHB) and Hispanic adults (compared to non-Hispanic Whites [NHWs]) have higher rates of uncontrolled blood pressure (BP) (50%, 54%, and 46%, respectively), and NHBs are at greater risk of hypertension-related CVD morbidity and mortality.[4] CVD age-adjusted death rates are 33% higher among NHBs when compared to the overall US population.[4,5] Hypertension-related age-adjusted mortality rates of adults aged 25 years and older are 127.2 vs. 135.9 per 100,000 populations for Hispanics vs. NHWs, respectively, though considerable heterogeneity in CVD risk is seen in Hispanics based on country of origin.[7,8] These disparities cost the US health care system an estimated $49 billion per year.[2,5,9] Therefore, BP control interventions to reduce CVD morbidity and mortality in underrepresented racial and ethnic groups are important at both the individual and population levels. Over the past 2 decades, studies have demonstrated that lowering BP with antihypertensive medications reduces the risk of CVD morbidity and mortality, including in NHB and Hispanic populations.[10-14] Until recently, there was insufficient data to determine optimal BP targets for the treatment of hypertension in these populations.[2,7] Lowering systolic BP (SBP) with antihypertensive medications significantly reduced CVD morbidity and mortality in the Systolic Hypertension in the Elderly Program (SHEP), Systolic Hypertension in Europe (Syst-Eur) Trial, and the Hypertension in the Very Elderly Trial (HYVET).[15-17] However, SBP treatment goals in the more intensive treatment arms of these trials were between 150 and 160 mm Hg and only SHEP included African American (AA) participants (14%).[15,17] Two small trials (with limited statistical power) that compared a SBP target of <140 mm Hg to <160 mm Hg found no significant difference in CVD outcomes.[18,19] The Action to Control Cardiovascular Risk in Diabetes BP trial (ACCORD), which included a racially diverse population (24% NHBs and 7% Hispanics) of 4,733 high-risk hypertensives with type 2 diabetes mellitus treated to a SBP target <120 mm Hg (compared to SBP <140 mm Hg), identified no difference in the primary CVD composite outcome but a significant reduction in stroke risk in the <120 mm Hg group.[20] More recently, random assignment to a SBP target <120 mm Hg compared to <140 mm Hg among people at high CVD risk (without diabetes or history of stroke) resulted in a 25% reduction in the primary outcome (a CVD composite) and a 27% reduction in all-cause mortality in the National Institutes of Health (NIH) sponsored Systolic Blood Pressure Intervention Trial (SPRINT).[13,21] Of the 9,361 SPRINT participants, 30% were NHBs and 11% were Hispanic.[13,22,23] Exploration of the trial results in non-Black compared to Black participants was a prespecified analysis. Thus, SPRINT provides a large database for the study of BP treatment targets in these diverse populations.[21] This report describes the major outcomes in SPRINT by race and Hispanic ethnicity.

METHODS

Patient selection

Details of the SPRINT study design and rationale have been previously reported and more extensive details of the study protocol and procedures are publicly available.[13,21,24] All participants gave written informed consent and the trial protocol was approved by the institutional review board at each participating site. The SPRINT cohort consisted of men and women, aged 50 years or older with a SBP between 130–180 mmHg on 0–4 antihypertensive medications and at high CVD risk. High CVD risk was defined by the presence of one or more of the following at study entry: clinical or subclinical CVD (other than stroke); chronic kidney disease (CKD) defined as an estimated glomerular filtration rate calculated with the 4-variable Modification of Diet in Renal Disease (MDRD) equation of 20–59 ml/min/1.73 m2 using the most recent serum creatinine drawn within the preceding 6 months; a Framingham Risk Score for 10-year CVD risk ≥15%; or age ≥75 years. Individuals with history of diabetes, stroke, polycystic kidney disease, or heart failure were excluded.[21] Race was self-reported by participants as Black (or AA), White, Native American, Asian, Native Hawaiian or other Pacific Islander, and other; and ethnicity was based upon independent self-identification as Hispanic or non-Hispanic. In this report, the 984 participants who self-identified as Hispanic were considered part of that group (regardless of self-identified race). Non-Hispanic participants who self-identified as AA alone were grouped as NHB (n = 2802). Non-Hispanic participants who self-identified as White alone were grouped as NHW (n = 5399). Participants who self-identified as belonging to other race categories, selected more than one race category or did not specify a race were excluded from this analysis (n = 176).

Intervention

SPRINT participants were randomly assigned to 1 of 2 SBP targets standard (SBP <140 mm Hg) or intensive (SBP <120 mm Hg) treatment. SPRINT investigators initiated and adjusted antihypertensive medications to achieve the assigned SBP targets according to the SPRINT step-care treatment algorithm using US Food and Drug Administration approved antihypertensive drugs provided by the study. At each visit, trained clinical staff measured BPs with an automated BP device (Omron-HEM-907 XL) using standardized procedures.[21,24] BP measurement requirements included measuring BP early in the visit and not following stressful exam components such as blood draws, proper positioning of the participant in a chair with back support, and proper cuff size determination. The SPRINT Manual of Procedures (MOP) stated that participants should be resting, not completing questionnaires, and not speaking with study staff during the 5-minute rest period or while BP measurements were being taken. The MOP also stated that staff should leave the room during the 5-minute rest period, and provided a script that staff could use to explain that they would be absent during the 5-minute rest period and would then enter the room and obtain the measurements without speaking to the participant.[24]

Study measures and outcomes

At baseline, information on sociodemographics, cardiovascular risk factors, concomitant medications, social and medical history, anthropometrics, dementia screening, and quality of life measurements were collected on all eligible patients. Routine follow-up visits were conducted at 1, 2, 3, and every 3 months thereafter during the trial. Specific laboratory data (e.g., serum creatinine, fasting serum glucose) were collected at baseline and every 3 months. Additional visits were scheduled as needed for management of adverse effects or SBP goal attainment. The primary outcome was a composite of the first occurrence of a myocardial infarction, acute coronary syndrome not leading to a myocardial infarction, stroke, decompensated heart failure, or cardiovascular death. Major secondary outcomes included CVD mortality, all-cause mortality, and a composite of total mortality and the primary outcome. Other prespecified secondary outcomes analyzed in this report included decline in renal function or development of end-stage renal disease. Definitions of these outcomes were prospectively defined in the SPRINT protocol.[24] Self-reported study outcomes were ascertained quarterly by clinical site staff using structured interviews for both treatment groups. Medical records and other corroborating data were collected for each potential outcome; all study outcomes were reviewed and adjudicated by the trial’s outcome committee using a prespecified protocol and blinded to treatment assignment.[21,24] In contrast to study outcomes, adverse events, including serious adverse events (SAEs), could be reported at any visit. SAEs were defined as an adverse experience judged by an investigator to be life threatening and/or resulting in death, permanent disability, or hospitalization or prolongation of hospitalization, whether or not the event was thought to be related to study intervention. SPRINT considered any emergency visit for heart failure, bradycardia, stroke, transient ischemic attack, or electrolyte abnormalities, and any syncope or injurious falls as a reportable SAE. Clinical and laboratory variables (serum potassium, creatinine levels, and estimated glomerular filtration rate) were also examined as potential adverse effects. An independent Data and Safety Monitoring Board (DSMB) monitored unblinded study data and provided oversight of participant safety.

Statistical analysis

Descriptive statistics (means and SD for continuous variables; frequencies and percentages for categorical variables) of baseline characteristics were computed by race/ethnicity and by treatment group within each stratum of race/ethnicity. Pairwise comparisons (i.e., each race/ethnicity compared to the other) were made using 1-way analysis of variance with pairwise contrasts for continuous variables and separate chi-square tests for categorical variables. Mean and SE of follow-up SBP was estimated by race/ethnicity and treatment group using mixed linear models with unstructured variance-covariance to control for within-subject correlation. Effect of treatment arm assignment on time to the first event within race/ethnicity stratum (i.e., CVD outcomes, mortality, CKD outcomes, and SAEs) was analyzed based on the intention-to-treat approach using univariable Cox proportional-hazards regression models for treatment arm assignment with 2-sided tests at the 5% level of significance and stratification by clinical site. Two-way interactions between treatment effect and race/ethnicity group were assessed using likelihood-ratio tests and Hommel’s technique to adjust for multiple comparisons. Since the subgroup definitions in this report differ from the prespecified race subgroup of Blacks vs. non-Blacks (in the prespecified comparison, the Black group included both Hispanic and non-Hispanic ethnicities who self-identified as Black while the non-Black group included both Hispanics and non-Hispanics who self-identified as White), outcome data for the prespecified race subgroups are presented in the Appendix (Supplementary Table S2). All analyses were performed using SAS version 9.4 software (SAS Institute, Cary, NC). Following a recommendation by the trial’s independent DSMB, the SPRINT BP intervention was halted on 20 August 2015 by the National Heart, Lung, and Blood Institute (NHLBI) Director after a mean follow-up of 3.26 years. Follow-up was censored at the date of last assessment for a study event in each participant prior to 21 August 2015. This publication is based on a database that was frozen on 16 September 2016 and includes outcome events from baseline until the termination of the trial intervention on 21 August 2015.

RESULTS

Study participants

Figure 1 displays the CONSORT diagram for SPRINT by race/ethnicity group. Baseline characteristics by race/ethnicity and treatment assignment are provided in Table 1 and by race/ethnicity, pooled across treatment (Supplementary Table S1). After stratifying by race/Hispanic ethnicity, few significant differences in baseline characteristics and risk profile were noted between treatment groups. Significant differences in weight between randomized treatment groups were seen in the Hispanic subgroup, statin use in NHBs, and aspirin use in NHWs (Table 1).
Figure 1.

Consort diagram. Race/ethnicity was self-reported and participants were classified as: Hispanic regardless of self-identified race; non-Hispanic Black if self-identified as African American alone; and non-Hispanic White if self-identified as White alone.

Table 1.

Baseline clinical characteristics of SPRINT participants stratified by race/ethnicity and randomized group

Non-Hispanic White (n = 5,399)aNon-Hispanic Black (n = 2,802)aHispanic (n = 984)a
CharacteristicsIntensiveStandardIntensiveStandardIntensiveStandard
No. randomized2,6982,7011,3791,423503481
Age
50–64782 (29.0)813 (30.1)824 (59.8)831 (58.4)267 (53.1)247 (51.4)
65–74939 (34.8)901 (33.4)329 (23.9)366 (25.7)147 (29.2)149 (31.0)
≥75977 (36.2)987 (36.5)225 (16.3)226 (15.9)89 (17.7)85 (17.7)
Female gender795 (29.5)757 (28.0)630 (45.7)641 (45.1)225 (44.7)229 (47.6)
Chronic kidney diseaseb885 (32.8)893 (33.1)325 (23.6)312 (21.9)94 (18.7)96 (20.0)
Cardiovascular disease
Clinical526 (19.5)507 (18.8)135 (9.8)144 (10.1)65 (12.9)63 (13.1)
Subclinical207 (7.7)222 (8.2)121 (8.8)120 (8.4)47 (9.3)48 (10.0)
Framingham 10-year CVD risk score (%)26.8 ± 12.826.8 ± 12.621.7 ± 11.721.9 ± 11.823.0 ± 12.322.4 ± 11.8
Baseline blood pressure
SBP, mm Hg139.6 ± 15.5139.2 ± 15.2139.5 ± 16.7140.0 ± 15.8140.2 ± 14.5141.2 ± 15.1
DBP, mm Hg76.8 ± 11.476.5 ± 11.681.2 ± 12.581.3 ± 12.377.6 ± 11.277.3 ± 11.2
Pulse, bpm65.2 ± 11.365.2 ± 11.568.7 ± 11.968.4 ± 11.965.4 ± 10.366.1 ± 10.7
# of BP Medications1.78 ± 1.031.78 ± 1.051.99 ± 1.061.96 ± 1.051.79 ± 0.971.71 ± 0.93
Weight, lbs.190.0 ± 40.9191.2 ± 41.4196.7 ± 42.7195.7 ± 42.5180.1 ± 36.3*175.6 ± 35.3*
BMI, kg/m229.4 ± 5.529.4 ± 5.431.0 ± 6.430.8 ± 6.329.8 ± 5.329.3 ± 5.0
# of chronic diseases3.02 ± 1.703.02 ± 1.742.18 ± 1.562.20 ± 1.532.24 ± 1.642.16 ± 1.47
Smoking status
Current238 (8.8)230 (8.5)324 (23.6)315 (22.2)68 (13.6)45 (9.4)
Past1,340 (49.8)1,340 (50.0)453 (33.0)484 (34.2)157 (31.3)146 (30.5)
Statin use1,311 (48.9)1,338 (50.0)430 (31.4)513 (36.3)193 (38.6)198 (41.3)
Aspirin use906 (33.8)805 (30.1)365 (26.7)364 (25.8)120 (24.0)117 (24.4)
Baseline laboratory values
Fasting glucose (mg/dl)99.3 ± 13.299.5 ± 11.998.0 ± 15.397.6 ± 16.198.3 ± 11.698.5 ± 12.2
Cholesterol, total (mg/dl)186.4 ± 40.9186.3 ± 41.1196.6 ± 42.2195.2 ± 39.7192.8 ± 40.3194.9 ± 40.3
Cholesterol, LDL (mg/dl)108.8 ± 34.5108.2 ± 34.4119.7 ± 36.4118.5 ± 34.3114.1 ± 35.2115.0 ± 34.2
Cholesterol, HDL (mg/dl)52.3 ± 14.141.9 ± 14.354.9 ± 15.255.3 ± 14.950.7 ± 12.350.6 ± 14.1
Triglycerides (mg/dl)127.7 ± 79.3131.7 ± 83.1113.1 ± 102.1110.0 ± 110.3140.6 ± 68.6149.8 ± 97.9
Potassium (mmol/l)4.28 ± 0.434.27 ± 0.424.07 ± 0.414.08 ± 0.494.19 ± 0.434.21 ± 0.40
Sodium (mmol/l)139.9 ± 2.6140.0 ± 2.5140.5 ± 2.3140.4 ± 2.2140.3 ± 2.2140.2 ± 2.3
eGFR (ml/min/1.73 m2)68.3 ± 18.168.0 ± 18.376.3 ± 23.476.7 ± 22.378.0 ± 22.377.2 ± 22.3
Creatinine (mg/dl)1.06 ± 0.311.07 ± 0.311.14 ± 0.401.13 ± 0.380.96 ± 0.330.96 ± 0.34

Plus–minus values are means ± SD: *P < 0.05, †P < 0.01 Standard vs. intensive arms. SI conversion factors: to convert the values for creatinine to micromoles per liter, multiply by 88.4. To convert the values for cholesterol to millimoles per liter, multiply by 0.0259. To convert the values for triglycerides to millimoles per liter, multiply by 0.0113. To convert the values for glucose to millimoles per liter, multiply by 0.0555. Abbreviations: BMI, Body Mass Index; BP, blood pressure; CVD, cardiovascular disease primary outcome; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; HDL, high-density lipoprotein; LDL, low-density lipoprotein; SBP, systolic blood pressure; SPRINT, Systolic Blood Pressure Intervention Trial.

aRace/ethnicity was self-reported and participants were classified as: Hispanic regardless of self-identified race; non-Hispanic Black if self-identified as African American alone; and non-Hispanic White if self-identified as white alone.

bChronic kidney disease was defined as an eGFR of less than 60 ml/min/1.73 m2.

Consort diagram. Race/ethnicity was self-reported and participants were classified as: Hispanic regardless of self-identified race; non-Hispanic Black if self-identified as African American alone; and non-Hispanic White if self-identified as White alone. Baseline clinical characteristics of SPRINT participants stratified by race/ethnicity and randomized group Plus–minus values are means ± SD: *P < 0.05, †P < 0.01 Standard vs. intensive arms. SI conversion factors: to convert the values for creatinine to micromoles per liter, multiply by 88.4. To convert the values for cholesterol to millimoles per liter, multiply by 0.0259. To convert the values for triglycerides to millimoles per liter, multiply by 0.0113. To convert the values for glucose to millimoles per liter, multiply by 0.0555. Abbreviations: BMI, Body Mass Index; BP, blood pressure; CVD, cardiovascular disease primary outcome; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; HDL, high-density lipoprotein; LDL, low-density lipoprotein; SBP, systolic blood pressure; SPRINT, Systolic Blood Pressure Intervention Trial. aRace/ethnicity was self-reported and participants were classified as: Hispanic regardless of self-identified race; non-Hispanic Black if self-identified as African American alone; and non-Hispanic White if self-identified as white alone. bChronic kidney disease was defined as an eGFR of less than 60 ml/min/1.73 m2.

Blood pressure

SBP levels were similar by race/ethnicity stratum and between treatment groups at baseline (Table 1). SBP over time is shown in Figure 2. Overall, SBP decreased substantially during the first year of the study in all race/ethnicity groups and showed only modest differences between racial/ethnic groups for both SBP. Average postbaseline mean ± SE follow-up SBP in the standard arm was 134.7 ± 0.1 mm Hg in NHW, 135.5 ± 0.2 mm Hg in NHB, and 134.8 ± 0.3 mm Hg in Hispanic participants; compared to intensive arm values of 121.8 ± 0.2, 122.6 ± 0.2, and 119.9 ± 0.4 in NHW, NHB, and Hispanic participants, respectively. The mean number of antihypertensive medications prescribed were significantly higher in NHB (mean ± SE intensive arm 3.01 ± 0.03, standard arm 1.99 ± 0.03) compared to in NHW (intensive arm 2.74 ± 0.02, standard arm 1.75 ± 0.02; P value <0.0001 vs. NHB, both arms), and in Hispanics (intensive arm 2.70 ± 0.05, standard arm 1.77 ± 0.05; P value <0.0001 vs. NHB, both arms) (Figure 2).
Figure 2.

Follow-up SBP and mean number of antihypertensive meds by treatment arm and race/ethnicity. The SBP separation between treatment groups at year 12, 24, and 36 months was 14.4, 15.6, and 16.7 mm Hg, respectively in NHBs; 14.8, 15.5, and 15.0.

Follow-up SBP and mean number of antihypertensive meds by treatment arm and race/ethnicity. The SBP separation between treatment groups at year 12, 24, and 36 months was 14.4, 15.6, and 16.7 mm Hg, respectively in NHBs; 14.8, 15.5, and 15.0.

CVD outcomes

The HRs (95% confidence interval) (intensive vs. standard treatment groups) for the primary composite outcome were 0.70 (0.57–0.86), 0.71 (0.51–0.98), 0.62 (0.33–1.15) in NHWs, NHBs, and Hispanics, respectively (Table 2). For CV mortality, HRs were 0.49 (0.29–0.81) in NHW, 0.77 (0.37–1.57) in NHB, and 0.17 (0.01–1.08) in Hispanics, though for all-cause mortality they were 0.61 (0.47–0.80) in NHW, 0.92 (0.63–1.35) in NHB, 1.58 (0.73–3.62) in Hispanics. The effect of treatment arm assignment was homogenous with all interaction P values >0.05 across racial/ethnic groups for the primary CVD outcome, as well as the secondary outcomes of myocardial infarction, acute coronary syndrome, stroke, heart failure, CVD death, and primary outcome.
Table 2.

Primary and secondary outcomes stratified by treatment group and race/ethnicity

OutcomeRace/ethnicityIntensive armStandard armIntensive vs. standard hazard ratioInteraction P value
N Events% per Year N Events% per YearHRLower 95% CIUpper 95% CI
Primary outcomea(Non-Hispanic) White2,6981671.92,7012292.70.700.570.860.85
(Non-Hispanic) Black1,379641.51,423932.10.710.510.98
Hispanic503201.2481261.70.620.331.15
Myocardial infarction(Non-Hispanic) White2,698690.82,701881.00.770.561.050.63
(Non-Hispanic) Black1,379220.51,423350.80.640.361.09
Hispanic50390.6481130.80.480.181.18
Acute coronary syndrome(Non-Hispanic) White2,698300.32,701260.31.150.681.950.35
(Non-Hispanic) Black1,37970.21,42390.20.860.302.33
Hispanic50330.248150.30.570.112.34
Stroke(Non-Hispanic) White2,698440.52,701490.60.870.581.320.38
(Non-Hispanic) Black1,379140.31,423220.50.660.331.28
Hispanic50360.448150.31.050.313.69
Heart failure(Non-Hispanic) White2,698400.52,701700.80.550.370.810.27
(Non-Hispanic) Black1,379220.51,423290.60.800.451.40
Hispanic50340.248150.30.610.152.35
Cardiovascular death(Non-Hispanic) White2,698230.32,701450.50.490.290.810.098
(Non-Hispanic) Black1,379130.31,423180.40.770.371.57
Hispanic50310.148160.40.170.011.08
Non-CVD death(Non-Hispanic) White2,698570.62,701820.90.690.490.970.006
(Non-Hispanic) Black1,379300.71,423260.61.160.681.98
Hispanic503120.748140.33.280.9814.77
All-cause mortality(Non-Hispanic) White2,698891.02,7011441.60.610.470.800.008
(Non-Hispanic) Black1,379511.21,423561.20.920.631.35
Hispanic503191.1481120.81.580.733.62
Primary outcome or death(Non-Hispanic) White2,6982222.62,7013103.60.700.590.830.082
(Non-Hispanic) Black1,379942.21,4231222.70.780.591.030
Hispanic503352.1481312.01.000.601.67

Abbreviations: CI, confidence interval, CVD, cardiovascular disease primary outcome; HR, hazard ratio.

aThe primary outcome includes the first occurrence of myocardial infarction, acute coronary syndrome, stroke, heart failure, or death from cardiovascular causes. Median follow-up of 3.26 years.

Primary and secondary outcomes stratified by treatment group and race/ethnicity Abbreviations: CI, confidence interval, CVD, cardiovascular disease primary outcome; HR, hazard ratio. aThe primary outcome includes the first occurrence of myocardial infarction, acute coronary syndrome, stroke, heart failure, or death from cardiovascular causes. Median follow-up of 3.26 years. There appeared to be heterogeneity of effect for all-cause mortality and for non-CVD death (interaction P value = 0.008 and 0.006, respectively) (Table 2). However, after adjusting for multiple comparisons, the treatment by race/ethnicity interaction approached significance only for all-cause death (Hommel-adjusted P value = 0.062). CVD mortality was similarly reduced in all race/ethnic groups (treatment by race/ethnic interaction P value = 0.098), including in treatment comparisons by Blacks vs. non-Blacks (Supplementary Tables S2 and S3), or whether Hispanics resided in Puerto Rico (n = 437) or the US mainland (n = 550) (data not shown). Treatment by residence interaction P values were 0.40, 0.68, and 0.43 for primary outcome, CVD mortality, and all-cause mortality, respectively.

CKD outcomes

The effect of treatment arm assignment on CKD outcomes (stratified by baseline CKD vs. non-CKD subgroup) by race/ethnicity is shown in Table 3 and Supplementary Table S2. The numbers of events in the CKD subgroup were small, particularly for the primary composite renal outcome of ≥50% reduction in estimated glomerular filtration rate or end-stage renal disease; treatment effects were similar across race/ethnicity groups for all 4 outcomes.
Table 3.

CKD outcomes in the CKD and non-CKD subgroups, stratified by treatment group and race/ethnicity

OutcomeSubgroupIntensive armStandard armIntensive vs. standard hazard ratioInteraction P value
N Events% per Year N Events% per YearHRLower 95% CIUpper 95% CI
CKD subgroup: composite renal outcomea(Non-Hispanic) White88580.389370.241.140.383.410.76
(Non-Hispanic) Black32590.931280.791.090.403.14
Hispanic9400.09600.00
CKD subgroup: incident albuminuriab(Non-Hispanic) White365494.3346605.70.790.531.180.17
(Non-Hispanic) Black118113.0106185.70.260.080.69
Hispanic3543.74175.81.390.287.17
Non-CKD subgroup: ≥30% eGFR reduction to CKDc(Non-Hispanic) White1,808881.51,798210.44.382.777.240.22
(Non-Hispanic) Black1,046421.31,103160.52.611.474.83
Hispanic406171.338340.34.021.4414.3
Non-CKD subgroup: incident albuminuria(Non-Hispanic) White965812.79551013.40.770.571.030.51
(Non-Hispanic) Black576452.5642653.40.730.491.08
Hispanic219152.1213152.20.800.361.75

Abbreviations: CI, confidence interval, CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate.

aFor participants with CKD at baseline, composite renal outcome was the first occurrence of a reduction in eGFR by 50% (measure twice at least 90 days apart) or long-term dialysis or kidney transplant.

bIncident albuminuria denotes a urinary albumin to creatinine ratio of less than 10 mg/g at baseline and doubled to a creatinine ratio from less than 10 mg/g to 10 mg/g or greater (measured twice at least 90 days apart).

cIncludes a 30% reduction in eGFR (measured twice at least 90 days apart) to an eGFR of less than 60 ml/min/1.73 m2, dialysis, or a kidney transplant in participants without CKD at baseline.

CKD outcomes in the CKD and non-CKD subgroups, stratified by treatment group and race/ethnicity Abbreviations: CI, confidence interval, CKD, chronic kidney disease; eGFR, estimated glomerular filtration rate. aFor participants with CKD at baseline, composite renal outcome was the first occurrence of a reduction in eGFR by 50% (measure twice at least 90 days apart) or long-term dialysis or kidney transplant. bIncident albuminuria denotes a urinary albumin to creatinine ratio of less than 10 mg/g at baseline and doubled to a creatinine ratio from less than 10 mg/g to 10 mg/g or greater (measured twice at least 90 days apart). cIncludes a 30% reduction in eGFR (measured twice at least 90 days apart) to an eGFR of less than 60 ml/min/1.73 m2, dialysis, or a kidney transplant in participants without CKD at baseline.

Serious adverse events

Results for SAEs are displayed in Table 4. Between the 2 treatment groups, no heterogeneity of effect was noted between the 3 racial ethnic groups in terms of overall SAEs or the 6 select SAEs: hypotension, syncope, bradycardia, electrolyte abnormality, injurious falls, or acute kidney injury.
Table 4.

Selected serious adverse events stratified by treatment group and by race/ethnicity

OutcomeRace/ethnicityIntensive armStandard armIntensive vs. standard hazard ratioInteraction P value
N Events% per Year N Events% per YearHRLower 95% CIUpper 95% CI
Any SAEa(Non-Hispanic) White2,6984305.52,7015.917.00.930.821.060.24
(Non-Hispanic) Black1,3791463.61,3791473.61.020.811.29
Hispanic503422.7481291.91.400.872.24
Hypotension(Non-Hispanic) White2,698380.42,701270.31.400.862.300.28
(Non-Hispanic) Black1,379110.31,379110.31.030.452.38
Hispanic50320.148100.0
Syncope(Non-Hispanic) White2,698390.52,701310.41.240.771.990.94
(Non-Hispanic) Black1,37990.21,37970.21.320.493.56
Hispanic50350.348130.21.590.386.66
Bradycardia(Non-Hispanic) White2,698320.42,701290.31.100.661.810.30
(Non-Hispanic) Black1,37940.11,37980.20.510.151.70
Hispanic50310.148130.20.320.033.05
Electrolyte abnormalityb(Non-Hispanic) White2,698480.62,701370.41.290.841.980.11
(Non-Hispanic) Black1,379160.41,379130.31.270.612.64
Hispanic50340.348100.0
Injurious fallc(Non-Hispanic) White2,698931.12,7011151.40.800.611.050.11
(Non-Hispanic) Black1,379260.61,379210.41.280.722.27
Hispanic50360.448120.12.880.5814.3
Acute kidney injuryd(Non-Hispanic) White2,698660.82,701490.61.340.931.940.46
(Non-Hispanic) Black1,379431.01,379230.51.951.173.23
Hispanic50360.448150.31.150.353.78

Abbreviation: CI, confidence interval, SAE, serious adverse event.

aSAEs were defined as an adverse experience judged by an investigator to be life threatening and/or resulting in death, permanent disability, hospitalization, or prolongation of hospitalization, whether or not the event was thought to be related to the study intervention.

bElectrolyte abnormality were adverse laboratory measures detected on routine or unscheduled tests; routine laboratory tests were performed at 1 month, then quarterly during the first year, then every 6 months.

cAn injurious fall was defined as a fall that resulted in evaluation in an emergency department or that resulted in hospitalization.

dAcute kidney injury or acute renal failure were based on a primary or secondary diagnosis listed in the hospital discharge summary and was believed by the safety officer to be 1 of the top 3 reasons for admission or continue.

Selected serious adverse events stratified by treatment group and by race/ethnicity Abbreviation: CI, confidence interval, SAE, serious adverse event. aSAEs were defined as an adverse experience judged by an investigator to be life threatening and/or resulting in death, permanent disability, hospitalization, or prolongation of hospitalization, whether or not the event was thought to be related to the study intervention. bElectrolyte abnormality were adverse laboratory measures detected on routine or unscheduled tests; routine laboratory tests were performed at 1 month, then quarterly during the first year, then every 6 months. cAn injurious fall was defined as a fall that resulted in evaluation in an emergency department or that resulted in hospitalization. dAcute kidney injury or acute renal failure were based on a primary or secondary diagnosis listed in the hospital discharge summary and was believed by the safety officer to be 1 of the top 3 reasons for admission or continue.

DISCUSSION

We found that targeting a SBP <120 mm Hg compared to the currently recommended <140 mm Hg led to similar reductions in the relative risk for the primary outcome across major racial/ethnic groups—NHB (29%), NHW (30%), and Hispanics (38%). We also found that although NHBs required slightly more antihypertensive therapy to achieve this lower target, there was no difference in achieved SBP by race in the intensive arm. Moreover, while statistically significant differences in baseline characteristics including cardiovascular risk profile (e.g., age, gender, cigarette smoking, prevalent CKD/CVD) were seen between the race/ethnic subgroups (Tables 1 and Supplementary Table S1), these differences were small. This suggests the benefit was unaffected by these population differences (though we had limited statistical power to detect such an effect). The population impact of implementing SPRINT may be even greater among NHBs given the higher prevalence of hypertension in this population and the fact that hypertension accounts for a greater proportion of CVD events among NHB and Hispanics.[9] These findings are consistent with those in previous SPRINT publications[13,25] and extends the findings of previous studies.[26,27] In the Hypertension Detection Follow-up trial (HDFP) trial, Blacks (Hispanic ethnicity was not reported), who made up 44% of study participants, had a significant reduction in all-cause mortality with more intensive “stepped” care compared to less intensive “referred” care.[28] While the BP target in HDFP was based on a DBP goal of <90 mm Hg, SBP decreased from a baseline of 159 mm Hg to 130 mm Hg by years 4 and 5.[29] In the ACCORD trial, the mean on-treatment intensive arm SBPs were 119.2 ± 0.2, 122.7 ± 0.4, and 121.7 ± 0.7 in the NHW, NHB, and Hispanic groups, respectively (written communication from P Byrington, November 2016). However, no benefit on the composite CVD outcome was seen with the <120 mm Hg target, either overall or in subgroups defined by race. No racial or ethnic differences by treatment assignment were seen in renal outcomes or in SAEs in SPRINT. The AASK trial is the only other renal outcome trial with significant numbers of AAs and showed no benefit of more intensive therapy in this population with hypertensive renal disease except in participants with proteinuria (protein-to-creatinine ratio of more than 0.22).[30,31] The small number of renal events in SPRINT make it unable to evaluate this finding. Literature assessing incident CVD mortality in Hispanics and NHW found a statistically significant association between Hispanic ethnicity and lower CV and all-cause mortality despite having a worse CV risk profile when compared to NHW.[32] This has been referred to as the Hispanic paradox.[33] However, the risk profile of Hispanics in SPRINT was not greater than that seen in the other subgroups and did not result in an all-cause and cardiovascular-specific mortality advantage among Hispanics in SPRINT. Instead, we note a similar effect size on CV protection across NHWs, NHBs, and Hispanics. Though the sample sizes were small, SPRINT outcomes also did not differ between Hispanics residing on the US mainland vs. those in Puerto Rico. The strengths of SPRINT include its large sample size, a diverse patient population, and its success in both implementing the protocol and achieving the SBP targets and difference in SBP between the 2 interventional groups throughout the trial, including in NHBs and Hispanics. While by design SPRINT was not powered to specifically examine treatment effects of the lower SBP goal in these subgroups, this analysis supports the benefits of intensive BP lowering on the primary composite endpoint which was similar across these race/ethnicity groups. A somewhat surprising limitation was the baseline characteristics and CVD risk profile of the NHB and Hispanic populations in SPRINT was not significantly higher than that of NHWs in SPRINT, which is not a representation of that found in the overall community. However, SPRINT assessment of race and ethnicity was through self-designation which also has its limitations.[34] NHBs and Hispanics are admixed populations, and the US concept of race being only White or Black is seen as confusing[35] and may have caused significant misclassification when trying to dichotomize White Hispanics and Black Hispanics.[36] Finally, the small sample size of Hispanics limited meaningful comparisons making the analysis of Hispanics underpowered and potentially unstable. The clinical implications of the SPRINT results are substantial. Considering the high prevalence of hypertension and uncontrolled hypertension among NHBs and Hispanics, intensive SBP lowering is bound to have a greater public health impact among these populations.[4] Importantly, achieving lower SBP targets in NHB will require more antihypertensive therapy to achieve this goal. Our results indicate that most individuals above age 50 years with higher than average cardiovascular risk profile and SBP ≥130 mm Hg, including many above age 75 years old regardless of racial/ethnic origin benefit from treating to a SBP target of <120 mm Hg. Overall, SPRINT findings showed benefit of a <120 mm Hg target (compared to one <140 mm Hg) in the NHB, Hispanic, and NHW populations and provide no evidence for heterogeneity of effect by race or ethnicity.

SUPPLEMENTARY MATERIAL

Supplementary data are available at American Journal of Hypertension online.

DISCLOSURE

The authors declared no conflict of interest. Click here for additional data file.
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Review 1.  Recognition and Management of Hypertension in Older Persons: Focus on African Americans.

Authors:  Carolyn H Still; Keith C Ferdinand; Gbenga Ogedegbe; Jackson T Wright
Journal:  J Am Geriatr Soc       Date:  2015-10       Impact factor: 5.562

2.  Hypertension among adults in the United States: National Health and Nutrition Examination Survey, 2011-2012.

Authors:  Tatiana Nwankwo; Sung Sug Yoon; Vicki Burt; Quiping Gu
Journal:  NCHS Data Brief       Date:  2013-10

3.  Racial and Ethnic Differences in Antihypertensive Medication Use and Blood Pressure Control Among US Adults With Hypertension: The National Health and Nutrition Examination Survey, 2003 to 2012.

Authors:  Anna Gu; Yu Yue; Raj P Desai; Edgar Argulian
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2017-01

4.  Effects of intensive blood-pressure control in type 2 diabetes mellitus.

Authors:  William C Cushman; Gregory W Evans; Robert P Byington; David C Goff; Richard H Grimm; Jeffrey A Cutler; Denise G Simons-Morton; Jan N Basile; Marshall A Corson; Jeffrey L Probstfield; Lois Katz; Kevin A Peterson; William T Friedewald; John B Buse; J Thomas Bigger; Hertzel C Gerstein; Faramarz Ismail-Beigi
Journal:  N Engl J Med       Date:  2010-03-14       Impact factor: 91.245

5.  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.

Authors: 
Journal:  JAMA       Date:  1991-06-26       Impact factor: 56.272

6.  Ethnic differences in hypertension incidence among middle-aged and older adults: the multi-ethnic study of atherosclerosis.

Authors:  April P Carson; George Howard; Gregory L Burke; Steven Shea; Emily B Levitan; Paul Muntner
Journal:  Hypertension       Date:  2011-04-18       Impact factor: 10.190

7.  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.

Authors: 
Journal:  JAMA       Date:  1979-12-07       Impact factor: 56.272

8.  Cardiovascular risk reduction in hypertensive black patients with left ventricular hypertrophy: the LIFE study.

Authors:  Stevo Julius; Michael H Alderman; Gareth Beevers; Björn Dahlöf; Richard B Devereux; Janice G Douglas; Jonathan M Edelman; Katherine E Harris; Sverre E Kjeldsen; Shawna Nesbitt; Otelio S Randall; Jackson T Wright
Journal:  J Am Coll Cardiol       Date:  2004-03-17       Impact factor: 24.094

9.  Prevalence of hypertension, awareness, treatment, and control in the Hispanic Community Health Study/Study of Latinos.

Authors:  Paul D Sorlie; Matthew A Allison; M Larissa Avilés-Santa; Jianwen Cai; Martha L Daviglus; Annie G Howard; Robert Kaplan; Lisa M Lavange; Leopoldo Raij; Neil Schneiderman; Sylvia Wassertheil-Smoller; Gregory A Talavera
Journal:  Am J Hypertens       Date:  2014-03-12       Impact factor: 2.689

10.  Blood pressure control in Hispanics in the antihypertensive and lipid-lowering treatment to prevent heart attack trial.

Authors:  Karen L Margolis; Linda B Piller; Charles E Ford; Mario A Henriquez; William C Cushman; Paula T Einhorn; Pedro J Colon; Donald G Vidt; Rudell Christian; Nathan D Wong; Jackson T Wright; David C Goff
Journal:  Hypertension       Date:  2007-09-10       Impact factor: 10.190

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  11 in total

Review 1.  Hypertension in Hispanics/Latinos: Epidemiology and Considerations for Management.

Authors:  Isac C Thomas; Matthew A Allison
Journal:  Curr Hypertens Rep       Date:  2019-04-25       Impact factor: 5.369

Review 2.  SPRINT Revisited: Updated Results and Implications.

Authors:  Jackson T Wright; Paul K Whelton; Karen C Johnson; Joni K Snyder; David M Reboussin; William C Cushman; Jeff D Williamson; Nicholas M Pajewski; Alfred K Cheung; Cora E Lewis; Suzanne Oparil; Michael V Rocco; Srinivasan Beddhu; Lawrence J Fine; Jeffrey A Cutler; Walter T Ambrosius; Mahboob Rahman; Carolyn H Still; Zhengyi Chen; Curtis Tatsuoka
Journal:  Hypertension       Date:  2021-11-10       Impact factor: 10.190

3.  Association of Genetic West African Ancestry, Blood Pressure Response to Therapy, and Cardiovascular Risk Among Self-Reported Black Individuals in the Systolic Blood Pressure Reduction Intervention Trial (SPRINT).

Authors:  Shreya Rao; Matthew W Segar; Adam P Bress; Pankaj Arora; Wanpen Vongpatanasin; Vijay Agusala; Utibe R Essien; Adolfo Correa; Alanna A Morris; James A de Lemos; Ambarish Pandey
Journal:  JAMA Cardiol       Date:  2020-11-13       Impact factor: 14.676

Review 4.  Heart Failure Primary Prevention: What Does SPRINT Add?: Recent Advances in Hypertension.

Authors:  Kirsten Raby; Michael Rocco; Suzanne Oparil; Olivia N Gilbert; Bharathi Upadhya
Journal:  Hypertension       Date:  2021-04-05       Impact factor: 9.897

5.  Serious adverse events in patients with target-oriented blood pressure management: a systematic review.

Authors:  Lukas Frey; Isaac Gravestock; Giuseppe Pichierri; Johann Steurer; Jakob M Burgstaller
Journal:  J Hypertens       Date:  2019-11       Impact factor: 4.844

6.  A Community and Technology-Based Approach for Hypertension Self-Management (COACHMAN) to Improve Blood Pressure Control in African Americans: Results from a Pilot Study.

Authors:  Carolyn H Still; Seunghee Margevicius; Carla Harwell; Ming-Chun Huang; LaTonya Martin; Phuong B Dang; Jackson T Wright Jnr
Journal:  Patient Prefer Adherence       Date:  2020-11-23       Impact factor: 2.711

7.  Prevalence and determinants of hypertension control among almost 100 000 treated adults in the UK.

Authors:  Neo Tapela; Jennifer Collister; Lei Clifton; Iain Turnbull; Kazem Rahimi; David J Hunter
Journal:  Open Heart       Date:  2021-02

8.  Heterogeneity of Treatment Effects for Intensive Blood Pressure Therapy by Individual Components of FRS: An Unsupervised Data-Driven Subgroup Analysis in SPRINT and ACCORD.

Authors:  Yaqian Wu; Jianling Bai; Mingzhi Zhang; Fang Shao; Honggang Yi; Dongfang You; Yang Zhao
Journal:  Front Cardiovasc Med       Date:  2022-02-03

9.  Effect of Intensive vs Standard Blood Pressure Treatment Upon Erectile Function in Hypertensive Men: Findings From the Systolic Blood Pressure Intervention Trial.

Authors:  Capri G Foy; Jill C Newman; Greg B Russell; Dan R Berlowitz; Jeffrey T Bates; Anna M Burgner; Thaddeus Y Carson; Glenn M Chertow; Michael N Doumas; Robin Y Hughes; John B Kostis; Peter van Buren; Virginia G Wadley
Journal:  J Sex Med       Date:  2019-12-18       Impact factor: 3.802

Review 10.  Guideline-Driven Management of Hypertension: An Evidence-Based Update.

Authors:  Robert M Carey; Jackson T Wright; Sandra J Taler; Paul K Whelton
Journal:  Circ Res       Date:  2021-04-01       Impact factor: 17.367

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