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. Author manuscript; available in PMC: 2017 Nov 1.
Published in final edited form as: J Am Soc Hypertens. 2016 Aug 26;10(11):847–856. doi: 10.1016/j.jash.2016.08.005

Orthostatic changes in systolic blood pressure among SPRINT participants at baseline

Raymond R Townsend a,*, Tara I Chang b, Debbie L Cohen a, William C Cushman c, Gregory W Evans d, Stephen P Glasser e, William E Haley f, Christine Olney g, Suzanne Oparil h, Rita Del Pinto i, Roberto Pisoni j, Addison A Taylor k, Kausik Umanath l, Jackson T Wright Jr m, Joseph Yeboah n; for the SPRINT Study Research Group
PMCID: PMC5344034  NIHMSID: NIHMS849801  PMID: 27665708

Abstract

Orthostatic changes in systolic blood pressure (SBP) impact cardiovascular outcomes. In this study, we aimed to determine the pattern of orthostatic systolic pressure changes in participants enrolled in the SBP Intervention Trial (SPRINT) at their baseline visit before randomization and sought to understand clinical factors predictive of these changes. Of the 9323 participants enrolled in SPRINT, 8662 had complete data for these analyses. The SBP after 1 minute of standing was subtracted from the mean value of the three preceding seated SBP values. At the baseline visit, medical history, medications, anthropometric measures, and standard laboratory testing were undertaken. The mean age of SPRINT participants was 68 years, two-thirds were male, with 30% black, 11% Hispanic, and 55% Caucasian. The spectrum of SBP changes on standing demonstrated that increases in SBP were as common as declines, and about 5% of participants had an increase, and 5% had a decrease of >20 mm Hg in SBP upon standing. Female sex, taller height, more advanced kidney disease, current smoking, and several drug classes were associated with larger declines in BP upon standing, while black race, higher blood levels of glucose and sodium, and heavier weight were associated with more positive values of the change in BP upon standing. Our cross-sectional results show a significant spectrum of orthostatic SBP changes, reflecting known (eg, age) and less well-known (eg, kidney function) relationships that may be important considerations in determining the optimal target blood pressure in long-term outcomes of older hypertensive patients.

Keywords: Cross-sectional, epidemiology, human, orthostasis, SBP

Introduction

Assuming a standing position initiates a series of compensatory changes on the part of the circulation to defend blood flow to vital organs. Standing promotes the pooling of blood in the legs,1 and the adaptive circulation increases venous tone through sympathetic stimulation, coordinated in the brainstem, to limit this pooling.2 Baroreceptors in the neck detect the decrease in arterial stretch as the cardiac output declines, and in addition to stimulating venous tone, a variable increase in heart rate is also recruited.2 The clinical findings in normal humans subjected to this orthostatic stress in the laboratory consist of a small decline in systolic blood pressure (SBP), often a small increase in diastolic blood pressure (DBP), and a small increase in heart rate.1 Aging, comorbidities like diabetes and Parkinson’s disease and a variety of drugs are known to exaggerate these changes.2,3 In some cases, the compensatory mechanisms underrespond, or are absent, resulting in a sustained fall in SBP of more than 20 mm Hg, a sustained fall in DBP of 10 mm Hg, or a combination of these events, which are typical criteria to diagnoses orthostatic intolerance.4 Orthostatic changes in blood pressure (BP) are important predictors for future cardiovascular events (eg, stroke, heart attack, heart failure, and death) in addition to being important components of falls and their resultant complications like fracture and long-term immobility.58

A less well-appreciated finding is an increase in BP on standing.9 Clinicians are encouraged to check on orthostatic reductions in BP, particularly in older patients,10 and are generally relieved when the BP does not fall in the upright position in the clinical encounter. However, the impact of an increase in BP on standing may represent a different set of physiologic adaptations whose overcompensation could be a significant contributor to future cardiovascular events. Less is known about the prevalence of significant increases in BP on standing or the factors that likely contribute to this finding. Consequently, we evaluated the orthostatic changes in SBP in subjects enrolled in the SBP Intervention Trial (SPRINT) at the time of randomization in treated hypertensives to determine demographic, comorbid, pharmacologic, and laboratory-based factors that were associated with orthostatic changes. In addition, we evaluated the same population for strictly defined (categorical) orthostatic hypotension, and orthostatic hypertension, which incorporated DBP values. We then sought to determine characteristics associated with such categorical changes.

Methods

The rationale and design of the SPRINT have been published.11 SPRINT was designed to examine two different SBP goals in older hypertensive patients in the USA and Puerto Rico. SPRINT was undertaken as a multicenter, randomized, controlled trial that compared two strategies for treating BP: one targeting SBP to <140 mm Hg and the other targeting SBP to <120 mm Hg.

Study Participants

Eligibility required age ≥50 years (no upper limit), an average screening SBP of at least 130 mm Hg and no more than 150–180 mm Hg depending on the number of antihypertensive medications (0–4), and increased cardiovascular disease (CVD) risk evidenced by prevalent or subclinical CVD, chronic kidney disease (CKD), 10-year Framingham CVD risk ≥15%,12 or age ≥75 years. SPRINT focused recruitment on three subgroups: patients with nondiabetic CKD, those with prior CVD, and patients 75 years of age and older. CKD at baseline was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 at baseline based on the four-variable MDRD equation13 and staged according to National Kidney Foundation guidelines.14 Prevalent CVD at baseline included a history of myocardial infarction; acute coronary syndrome, ECG changes on graded exercise test, or positive cardiac imaging study; coronary revascularization; carotid endarterectomy or stenting; peripheral arterial disease with revascularization; 50% stenosis of a coronary, carotid, or lower extremity artery; abdominal aortic aneurysm >5 cm with or without repair; coronary artery calcium score >400 Agatston units; ankle-brachial index <0.90; and left ventricular hypertrophy by computer ECG reading, echocardiogram report, or other cardiac imaging procedure. Screened subjects with prior stroke, diabetes, proteinuria >1 gram/d, eGFR <20 mL/min/1.73 m2, symptomatic heart failure or ejection fraction <35%, or with diagnosed dementia or nonadherence were excluded from SPRINT.

Each participating SPRINT site received Institutional Review Board approval for the SPRINT protocol and obtained written informed consent from each participant. The data we report here are based on information obtained and BP/heart rate measurements performed at the visit at which randomization to the SBP targets occurred, before subjects were treated to their goal BP, and while they were still taking their original medication regimen. SPRINT was registered at ClinicalTrials.gov as NCT01206062.

Standard demographic information was collected from SPRINT participants by trained coordinators at SPRINT sites. A medical history captured information related to prior CVD, cerebrovascular disease, or impaired kidney function. The participant’s usual medications were also recorded.

BP Protocol

The BP and heart rate were measured three times in the seated position, using appropriate cuff size, after the participant had rested quietly for 5 minutes in a chair with back support, and with feet on floor. Readings were separated by 1-minute intervals using a programmed Professional Digital Blood Pressure Monitor (Omron Healthcare, Lake Forest, IL) model 907XL. After collection of seated pressures, the participant was asked to stand with their arm supported and with a single measurement of SBP, DBP, and HR taken 1 minute after their feet touched the ground. While standing, participants were asked about symptoms of hypotension. The SPRINT protocol excluded people with a standing SBP <110 mm Hg during screening.

For each participant, we calculated the change in SBP upon standing (⊿SBP) by subtracting the average seated SBP from the single measurement of standing SBP. A negative value of ⊿SBP indicates that the SBP measured 1 minute after standing was lower than the average seated SBP (standing SBP < seated SBP), while a positive value indicates the standing pressure was higher than the average seated SBP (standing SBP > seated SBP). The change in DBP (⊿DBP) upon standing was calculated in a similar fashion.

We also classified participants into three mutually exclusive categories of BP change. Participants with ⊿SBP less than or equal to −20 mm Hg or ⊿DBP less than or equal to −10 mm Hg were classified as having orthostatic hypotension. Participants without orthostatic hypotension with ⊿SBP greater than or equal to +20 mm Hg or with ⊿DBP greater than or equal to +10 mm Hg were classified as having orthostatic hypertension. Participants with ⊿SBP between −20 mm Hg and +20 mm Hg, exclusive, and ⊿DBP between −10 mm Hg and +10 mm Hg, exclusive, were classified as having neither orthostatic hypotension nor orthostatic hypertension.

Other Assessments

Information on age, gender, race, ethnicity, and a detailed history of CVD was collected during screening. At the baseline visit, assessments included a fasting blood draw, urine collection, height, weight, BPs, a 12-lead electrocardiogram, and questionnaires assessing sociodemographics, medical history, concomitant medications, tobacco use, alcohol intake, education level, living with others, medication adherence, cognitive function, and quality of life. The Veterans Rand 12-item questionnaire,15 including a question on feeling faint, dizzy, or lightheaded within the past 3 months, was also administered during the baseline visit.

Statistical Methods

Categorical data are reported as N (%) and continuous data as mean (standard deviation) unless otherwise noted (Table 1). We used simple and multiple linear regression analysis to examine relationships between ⊿SBP and demographic factors as well as other variables considered to be informative regarding changes in BPs upon standing (a listing of covariates is presented in Table 2). Physical characteristics (age, BP, laboratory measures, smoking, drinking, and medical conditions) were assessed at the SPRINT baseline visit and medications reflected use prior to randomization. We restricted the analysis to a cohort of 8662 participants with complete data for BP and all covariates. A total of 457 participants were excluded for missing laboratories, 88 were excluded for missing data on medical conditions or medications; 63 were excluded for missing data on body mass, drinking, or smoking; and 53 were excluded for missing data on standing BPs or symptoms of dizziness. Multiple regression models were fit using a backward selection algorithm with the criteria for stepping out of the model set at P > .05. All variables listed in Table 2 were included in the starting model. Categorical variables with more than two categories (eg, eGFR categories) were coded using grouped indicator variables that were retained or stepped out of the model together. Standard regression diagnostics were used, and no important violations of model assumptions were noted. We define significance based on two-sided P-values <.05.

Table 1.

SPRINT cohort with no missing data (n = 8662)

Characteristic Baseline Value
Age and sex mean (SD) or N (%)
  Mean age (all) 67.9 (9.4)
    Age <75 6221 (71.8)
    Age 75–79 1367 (15.8)
    Age ≥80 1074 (12.4)
  Women 3070 (35.4)
Race/ethnicity, N (%)
  White 4944 (57.1)
  Black 2629 (30.4)
  Hispanic 930 (10.7)
  Other ethnicity 159 (1.8)
Clinical center networks, N (%)
  Ohio CCN 1449 (16.7)
  SE CCN 1900 (21.9)
  Utah CCN 1925 (22.2)
  UAB CCN 1858 (21.5)
  VAMC CCN 1530 (17.7)
Biochemistry N (%) or mean (SD)
  eGFR >60 6190 (71.5)
  eGFR 46–60 1639 (18.9)
  eGFR ≤45 833 (9.6)
  ACR <30 6991 (80.7)
  Microalbuminuria 1436 (16.6)
  Macroalbuminuria 235 (2.7)
  BUN mg/dL 18.8 (6.7)
  Glucose mg/dL 98.9 (13.6)
  Sodium mmol/L 140.2 (2.4)
  Potassium mmol/L 4.2 (0.4)
Anthropometrics mean (SD)
  Height, inches 66.9 (4)
  Weight, lbs 190.7 (41.6)
  BMI, kg/m2 29.9 (5.8)
Medical history, N (%)
  Alcohol user 5617 (64.8)
  Never smoker 3800 (43.9)
  Former smoker 3693 (42.6)
  Current smoker 1169 (13.5)
  Prevalent cardiovascular disease 1765 (20.4)
  Heart failure 306 (3.5)
  Peripheral arterial disease 471 (5.4)
  Atrial fibrillation 684 (7.9)
  Dizzy during examination 368 (4.2)
  Dizzy since last visit 1008 (11.6)
Blood pressure and heart rate mean (SD)
  Seated SBP, mm Hg 139.7 (15.6)
  Seated DBP, mm Hg 78.2 (12)
  Seated HR, beats/min 66.3 (11.5)
  Standing SBP, mm Hg 140.3 (17.9)
  Standing DBP, mm Hg 81.8 (12.9)
  Standing HR, beats/min 71.5 (12.9)
Medication usage mean (SD) or N (%)
  Number of BP med classes 1.8 (1)
  Beta blocker 2696 (31.1)
  Calcium channel blocker 3032 (35)
  Ace-I 3188 (36.8)
  ARB 1830 (21.1)
  Diuretic 3863 (44.6)
  Direct vasodilator 130 (1.5)
  Centrally acting 192 (2.2)
  Alpha blocker 385 (4.4)
  Alpha-beta blocker 387 (4.5)
  Nitrates 280 (3.2)
  Narcotics 757 (8.7)
  Phosphodiesterase-5 inhibitors 553 (6.4)
  Antidepressant 1120 (12.9)

ACR, albumin to creatinine ratio; ARB, angiotensin receptor blocker; BMI, body mass index; BUN, blood urea nitrogen; CCN, clinical center network; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; HR, heart rate; SBP, systolic blood pressure; SD, standard deviation; SE, Southeast; SPRINT, SBP Intervention Trial; UAB, University of Alabama at Birmingham; VAMC, Veterans Administration Medical Center.

Table 2.

Univariate relationship between SPRINT participant characteristics and change in SBP upon standing

Characteristic SBP Change (mm
Hg)
Beta P Value
Age and sex
  Age, y −0.0614 <.0001
  Age categories
    Age <75 REF
    Age 75–79 −1.4482 <.0001
    Age ≥80 −1.0959 .0047
  Women −0.5349 .0427
Race/ethnicity
  White REF
  Black 1.9642 <.0001
  Hispanic 0.0774 .85
  Other ethnicity −0.9187 .33
Biochemistry
  eGFR categories
    eGFR >60 REF
    eGFR 46–60 −1.6158 <.0001
    eGFR ≤45 −3.6069 <.0001
  ACR categories
    ACR <30 REF
    Microalbuminuria −0.442 .19
    Macroalbuminuria −1.3625 .08
    BUN, mg/dL −0.1088 <.0001
    Glucose, mg/dL 0.0196 .0343
    Sodium, mmol/L 0.1269 .0148
    Potassium, mmol/L −0.3463 .22
Anthropometrics
  Height, inches 0.0005 .99
  Weight, lbs 0.0355 <.0001
  BMI, kg/m2 0.2879 <.0001
Medical history
  Prevalent cardiovascular disease −0.7796 .0129
  Alcohol user 0.466 .07
  Smoking history
    Never smoker REF
    Former smoker 0.352 .19
    Current smoker −1.0221 .0093
  Heart failure −1.0239 .13
  Peripheral arterial disease −1.5809 .0045
  Atrial fibrillation −1.2779 .0063
Blood pressure and heart rate
  Seated SBP, mm Hg −0.1241 <.0001
  Seated DBP, mm Hg −0.0460 <.0001
  Seated HR, beats/min 0.0152 .17
  Standing SBP, mm Hg 0.3351 <.0001
  Standing DBP, mm Hg 0.2452 <.0001
  Standing HR, beats/min −0.0060 .54
Medication usage
  # BP med classes used −0.4175 .0007
  Beta blocker −0.7532 .0057
  Using calcium channel blocker −1.0285 .0001
  Using Ace-I −0.0092 .97
  Using ARB −0.0202 .95
  Using diuretic 0.4488 .08
  Using direct vasodilator 0.8655 .4
  Using centrally acting −1.0391 .23
  Using alpha blocker −0.8419 .17
  Using alpha-beta blocker −2.3203 .0001
  Using nitrates −1.187 .1
  Using narcotics −0.9237 .0388
  Using phosphodiesterase-5 inhibitors 1.7514 .0007
  Using antidepressant −1.5099 <.0001

ARB, angiotensin receptor blocker; BMI, body mass index; BP, blood pressure; CCN, clinical center network; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; SBP, systolic blood pressure; SPRINT, SBP Intervention Trial.

We also examined univariable associations between baseline characteristics and orthostatic hypotension and orthostatic hypertension using general linear models for continuous characteristics and chi-square tests for categorical characteristics. For the general linear models, we used estimate statements weighted by sample counts to compare participants with and without orthostatic hypotension and to compare participants with and without orthostatic hypertension. Similar comparisons were performed for categorical characteristics.

Results

Table 1 portrays the main demographic findings of the 8662 subjects with complete data and other variables of interest. The mean age of SPRINT participants was 68 years, about 2/3 were men, and most were white (57%) or black race (30%). Figure 1 shows the distribution of the standing minus the mean seated SBP. The double arrow shows the point where no change in BP occurred.

Figure 1.

Figure 1

Shown is the distribution of changes in seated-to-standing SBP in 8662 SPRINT participants at their baseline visit determined by subtracting the seated from the standing SBP values. Negative numbers indicate a lower SBP on standing compared with sitting. SBP, systolic blood pressure; SPRINT, SBP Intervention Trial.

Of the 8662 participants, 4.7% had a SBP drop of 20 mm Hg or more (4.0% had a drop of more than 20 mm Hg) and 4.6% had an SBP increase of 20 mm Hg or more upon standing. The changes in SBP ranged from −88 mm Hg to +42 mm Hg as shown in Figure 1.

Changes in SBP on Standing

Table 2 shows the univariate relationship between each exposure variable and the outcome of ⊿SBP. For continuous exposure variables (eg, age), the beta coefficients represent slopes. For example, the relationship between change in SBP and age has a slope of −0.0614 mm Hg systolic/y of age. Because we defined the outcome variable as the standing SBP value minus the seated value, a negative change implies standing SBP < seated SBP. The negative beta for age versus SBP change implies a lower standing pressure for a given seated pressure in older participants compared to younger ones. For categorical data, the beta coefficients represent a difference in means between the specified category and the reference. For example, the beta for SBP change in African-Americans is 2.0 mm Hg, indicating that the expected standing pressure of African Americans is 2.0 mm Hg greater than that for whites (the reference group) at the same level of seated SBP.

Greater reductions in SBP on standing were associated with older age, female sex, progressively worse National Kidney Foundation eGFR stage, current smoking, a history of heart failure, atrial fibrillation, or peripheral arterial disease, and several antihypertensive drug classes including beta blockers, calcium channel blockers, and combined alpha-beta blockers.

Smaller reductions in SBP on standing were associated with black race, higher body weight, and body mass index (BMI), increasing glucose, and usage of phosphodiesterase-5 inhibitors.

Using multivariable regression analysis (data not shown), we observed that age >74 years, female sex, taller height, progressively worse eGFR stage, current smoking, and several drug classes including beta blockers, calcium channel blockers, and combined alpha-beta blockers were independently associated with greater reductions in SBP on standing. Black race, higher blood levels of sodium and potassium, and increasing weight were independently associated with lesser reductions in standing SBP.

Orthostatic Hypotension or Hypertension

We also determined the prevalence of categorical orthostatic hypotension (decline in SBP of 20 mm Hg or more or a decline in DBP of 10 mm Hg or more) and orthostatic hypertension (increase in SBP of 20 mm Hg or more or an increase in DBP of 10 mm Hg or more) in the SPRINT participants as shown in Table 3. Among the 8662 participants, 634 (7%) had a drop in standing BP that met criteria for orthostatic hypotension. Of the participants classified as having orthostatic hypotension, 294 met the SBP criteria only, 227 met the DBP criteria only, and 113 met both the SBP and DBP criteria. In contrast, 1819 (21%) had an increase in standing BP that met criteria for orthostatic hypertension, including 132 that met the SBP criteria only, 1418 that met the DBP criteria only, and 269 that met both SBP and DBP criteria. Orthostatic hypotension was more frequent in older participants, women, whites, and those with CKD (eGFR < 60 mL/min/1.73 m2), albuminuria, higher BUN, lower BMI, and higher seated BP. Orthostatic hypotension was also more frequent in participants with a history of PAD, atrial fibrillation, or heart failure; symptoms of dizziness since the last visit; and treatment with sympathoadrenergic (alpha2-agonist, alpha/beta blocker, beta blocker) or antidepressant drugs. In contrast, orthostatic hypertension was again more frequent in women and participants of black race, higher BMI and lower seated BP, but was not significantly associated with age, albuminuria, BUN, CVD history, or symptoms of dizziness. Modest but significant associations also were found between orthostatic hypertension and the absence of CKD (eGFR > 60 mL/min/1.73 m2) and nonuse of alpha blockers and antidepressants.

Table 3.

Baseline characteristics by orthostatic category

Characteristic Participants With P Value


(A) Orthostatic
Hypotension,
N = 634
(B) Neither,
N = 6209
(C) Orthostatic
Hypertension,
N = 1819
A vs. (B or C) (A or B) vs. C
Age and sex mean (SD) or N (%)
  Mean age, y 69.6 (9.5) 67.7 (9.4) 67.8 (9.4) <.001 .83
  Age categories
    Age <75 407 (64.2) 4506 (72.6) 1308 (71.9) REF REF
    Age 75–79 128 (20.2) 942 (15.2) 297 (16.3) <.001 .36
    Age ≥80 99 (15.6) 761 (12.3) 214 (11.8) <.001 .68
  Women 254 (40.1) 2070 (33.3) 746 (41) .012 <.001
Race/ethnicity, N (%)
  White 404 (63.7) 3630 (58.5) 910 (50) REF REF
  Black 143 (22.6) 1780 (28.7) 706 (38.8) .017 <.001
  Hispanic 77 (12.1) 681 (11) 172 (9.5) .12 .11
  Other ethnicity 10 (1.6) 118 (1.9) 31 (1.7) .67 .55
Biochemistry N (%) or mean (SD)
  eGFR categories
    eGFR >60 380 (59.9) 4459 (71.8) 1351 (74.3) REF REF
    eGFR 46–60 149 (23.5) 1169 (18.8) 321 (17.6) .78 .57
    eGFR ≤45 105 (16.6) 581 (9.4) 147 (8.1) <.001 .041
  ACR categories
    ACR <30 477 (75.2) 5028 (81) 1486 (81.7) REF REF
    Microalbuminuria 129 (20.3) 1019 (16.4) 288 (15.8) .95 .78
    Macroalbuminuria 28 (4.4) 162 (2.6) 45 (2.5) .026 .88
    Mean BUN mg/dL 20.4 (8.5) 18.7 (6.6) 18.6 (6.4) <.001 .24
    Mean glucose mg/dL 97.9 (12.2) 99 (13.8) 98.7 (13.4) .071 .57
    Mean sodium
        mmol/L
140.2 (2.5) 140.1 (2.4) 140.2 (2.4) .92 .15
    Mean potassium
      mmol/L
4.24 (0.48) 4.2 (0.44) 4.19 (0.43) .016 .21
Anthropometrics
  Mean height, inches 66.9 (4) 67 (4) 66.6 (4.1) .86 <.001
  Mean weight, lbs 185.9 (38.8) 190.7 (40.8) 192.3 (45.1) .003 .06
  Mean BMI, kg/m2 29.2 (5.6) 29.8 (5.6) 30.4 (6.5) .002 <.001
Medical history, N (%)
  Alcohol user 381 (60.1) 4055 (65.3) 1181 (64.9) .019 .84
  Smoking history
    Never smoker 265 (41.8) 2718 (43.8) 817 (44.9) REF REF
    Former smoker 288 (45.4) 2632 (42.4) 773 (42.5) .59 .66
    Current smoker 81 (12.8) 859 (13.8) 229 (12.6) .17 .20
  Prevalent 145 (22.9) 1261 (20.3) 359 (19.7) .11 .45
    cardiovascular
    disease
  Heart failure 42 (6.6) 202 (3.3) 62 (3.4) <.001 .75
  Peripheral arterial
    disease
57 (9) 317 (5.1) 97 (5.3) <.001 .82
  Atrial fibrillation 74 (11.7) 476 (7.7) 134 (7.4) <.001 .35
  Dizzy during
    examination
32 (5) 245 (3.9) 91 (5) .30 .073
  Dizzy since last visit 96 (15.1) 704 (11.3) 208 (11.4) .004 .76
Blood pressure and heart rate mean (SD)
  Seated SBP, mm Hg 145.2 (16.2) 139.6 (15.3) 138.2 (16.1) <.001 <.001
  Seated DBP, mm Hg 80.2 (12.2) 78.7 (11.9) 75.7 (12) <.001 <.001
  Seated HR, beats/min 66.2 (12.9) 66.4 (11.5) 65.8 (11.3) .88 .074
  Standing SBP, mm Hg 126 (18) 139.2 (16.6) 148.8 (18.3) <.001 <.001
Standing DBP, mm Hg 71.9 (12.8) 80.6 (12.1) 89.1 (12.2) <.001 <.001
  Mean standing HR,
    beats/min
71.5 (14.7) 71.2 (12.8) 72.5 (12.6) .96 <.001
  Mean BP med classes 1.9 (1) 1.8 (1) 1.8 (1) .012 .29
Medication usage, N (%)
  Beta blocker 231 (36.4) 1886 (30.4) 579 (31.8) .003 .46
  Calcium channel
    blocker
237 (37.4) 2185 (35.2) 610 (33.5) .19 .14
  Ace-I 226 (35.6) 2316 (37.3) 646 (35.5) .53 .20
  ARB 153 (24.1) 1295 (20.9) 382 (21) .054 .88
  Diuretic 260 (41) 2773 (44.7) 830 (45.6) .059 .32
  Direct vasodilator 9 (1.4) 90 (1.4) 31 (1.7) .86 .42
  Centrally acting 24 (3.8) 112 (1.8) 56 (3.1) .005 .005
  Alpha blocker 26 (4.1) 303 (4.9) 56 (3.1) .66 .001
  Alpha-beta blocker 46 (7.3) 273 (4.4) 68 (3.7) <.001 .09
  Nitrates 25 (3.9) 203 (3.3) 52 (2.9) .29 .31
  Narcotics 69 (10.9) 537 (8.6) 151 (8.3) .047 .46
  Phosphodiesterase-5
    inhibitors
25 (3.9) 406 (6.5) 122 (6.7) .009 .53
  Antidepressant 98 (15.5) 809 (13) 213 (11.7) .049 .081

BMI, body mass index; BP, blood pressure; DBP, diastolic blood pressure; eGFR, estimated glomerular filtration rate; SBP, systolic blood pressure; SD, standard deviation.

Data in columns are generally the number of participants and the column-based percentage. For example, in the orthostatic hypotension column, 407 of the 634 participants (64.2%) were less than age 75 years. For categorical variables with more than 2 categories (eg, eGFR), we present a single P-value corresponding to a test of any difference among the categories.

Discussion

Our data show several important findings in the SPRINT participants. First is the remarkable spectrum of SBP change comparing the seated with the standing values in a large, mostly (~90%) treated, hypertensive population (Figure 1). Second is the proportion of seemingly stable outpatients who have a decline of more than 20 mm Hg systolic pressure (4.7%) on standing. Third is the presence of similarities, and a few differences, when changes in SBP are modeled as a continuous variable, or considered in the categories of “ orthostatic hypotension” and “ orthostatic hypertension” where DBP is also used. We observed that a decline in SBP on standing, and the presence of orthostatic hypotension, was more commonly seen in women, those with lower baseline kidney function, and among those taking sympathoadrenergic blocking medications known to contribute to BP falls on standing. On the other hand, we observed that less reduction in SBP on standing, and even orthostatic hypertension, was more commonly noted in black race participants and higher body weight or BMI. Finally, we observed that 4.6% of patients had an increase of 20 mm Hg or more in SBP on standing. Our observations regarding orthostatic declines of SBP by more than 20 mm Hg are particularly noteworthy as SPRINT excluded potential participants with diabetes or whose standing SBP fell to <110 mm Hg.

The observed distribution of ⊿SBP (Figure 1) is broad and relatively symmetrical. This shape is generally consistent with that reported for other large cohorts, including the Atherosclerosis Risk in Communities study,16 the Hypertension Detection and Follow-up Program,17 and the Action to Control Cardiovascular Risk in Diabetes Blood Pressure Trial.18 Small differences in the proportion of participants with a decrease in SBP upon standing among the cohorts are likely explained by differences in measurement protocols or selection criteria. In this regard, the exclusion of participants with a standing BP less than 110 mm Hg at screening in SPRINT does not appear to have dramatically shifted the distribution of ⊿SBP observed at the baseline visit relative to these other cohorts.

Standing upright relocates as much as 0.8 L of blood to the legs and splanchnic vasculature.1,4 This reduction in volume is mirrored by a reduced venous return to the heart and a decline in BP.19 In health, the baroreceptors in the aortic arch and carotid bifurcation are activated by these changes and shortly restore BP to/toward baseline values.19 Failure of these systems to compensate for blood relocation upon standing results in a longer and larger drop in the SBP in particular, referred to as orthostatic hypotension, and typically defined by a standing SBP that is at least 20 mm Hg lower than the seated or supine value, within 3 minutes of standing.4

Orthostatic hypotension is more common with age due to age-related decreases in baroreceptor function.20 It is also more common in diabetes and autonomic neuropathies which directly impair the effector arm of the regulatory systems.2 When orthostatic hypotension is present, it predicts a higher likelihood of stroke, heart attack, heart failure, and death.7,8 Orthostatic hypotension is also an important component of falls and their resultant complications like fracture and long-term immobility.58 In addition to the commonly recognized risks for orthostatic hypotension, our observation suggests that women tend to have a larger decline in standing SBP compared with men after having the same seated BP. We also observed that reductions in renal function when categorized by the National Kidney Foundation eGFR staging were also associated with greater declines in SBP. Although orthostatic hypotension was found to predict incident CKD in African-Americans in the Atherosclerosis Risk in Communities Study, there is little known about the prevalence of orthostatic changes in SBP in patients with CKD and our observations are novel in this regard and robust given the number of participants (n = 2472) with an eGFR less than 60 mL/min/1.73 m2 in SPRINT. Finally, we observed that antidepressants and narcotics were associated with standing BP reductions. Mechanisms by which antidepressants promote an orthostatic decline in BP include negative inotropism partly through inhibition of cardiac calcium currents.21 Narcotics may reduce BP by direct effects on the vessel22 or through mediating histamine release.23

A recent review of orthostatic hypertension notes that few studies have sought to characterize the prevalence of this disorder and also noted heterogeneity in the definition with increases of 5, 10, and 20 mm Hg in SBP on standing used as criteria.24 Unlike orthostatic hypotension, there is no agreed upon threshold of SBP increase on standing to define orthostatic hypertension, as there is for orthostatic hypertension.

Given the paucity of studies of orthostatic hypertension, there is little known that predicts an increase in SBP on standing upright. Our observation that participants of black race and those with higher body weight were associated with lesser reductions in standing SBP and also show greater likelihood of orthostatic hypertension by SBP or DBP criteria and represent reasonably novel observations in this understudied area of clinical hypertension.

Limited longitudinal data about orthostatic hypertension suggests a predisposition to peripheral arterial disease and stroke, particularly in those not treated for hypertension.25 In the Atherosclerosis Risk in Communities Study, there was a U-shaped association between the change in SBP on standing and stroke risk. In particular, those who had an increase in systolic pressure of more than 10 mm Hg on standing had an increased hazard for lacunar stroke.26

Overall, we observed a different set of factors associated with undercompensation compared with overcompensation in SBP when treated hypertensive subjects assume the standing position. Our observations support current recommendations about measuring BP in the standing position in hypertensive patients, particularly the elderly.10 The importance of these changes in SBP on standing in the SPRINT participants may be of interest when interpreting outcomes of this important clinical trial.

Limitations

Several limitations in our data need to be pointed out when considering our observations. First, we assessed standing pressure only once and only after 1 minute of standing. Second, SPRINT was not designed to pursue mechanisms of orthostatic BP regulation. Our data were obtained in a clinic scenario, not a controlled research setting with tilt table capability, and our findings are not directly generalizable to such studies. Finally, our findings are cross-sectional and supplemental to the longitudinal outcome data in SPRINT.

Conclusions

The large sample size, older age, and presence of comorbidities in SPRINT guarantees a substantial incidence of important health outcomes in this important trial. Our cross-sectional results show a significant spectrum of orthostatic SBP changes, reflecting known (eg, age) and less well-known (sex, race, electrolyte levels, kidney function) relationships which may be important considerations in determining the optimal target BP in long-term outcomes of older hypertensives.

Acknowledgments

The Systolic Blood Pressure Intervention Trial was also supported in part with resources and use of facilities through the Department of Veterans Affairs. The SPRINT investigators acknowledge the contribution of study medications (azilsartan and azilsartan combined with chlorthalidone) from Takeda Pharmaceuticals International, Inc. 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. For a full list of contributors to SPRINT, please see the supplementary acknowledgement list:

SPRINT Acknowledgment: The authors also acknowledge the support from the following CTSAs funded by NCATS: CWRU: UL1TR000439, OSU: UL1RR025755, U Penn: UL1RR024134 and UL1TR000003, Boston: UL1RR025771, Stanford: UL1TR000093, Tufts: UL1RR025752, UL1TR000073, and UL1TR001064, University of Illinois: UL1TR000050, University of Pittsburgh: UL1TR000005, UT Southwestern: 9U54TR000017-06, University of Utah: UL1TR000105-05, Vanderbilt University: UL1 TR000445, George Washington University: UL1TR000075, University of CA, Davis: UL1 TR000002, University of Florida: UL1 TR000064, University of Michigan: UL1TR000433, Tulane University: P30GM103337 COBRE Award NIGMS.

The Systolic Blood Pressure Intervention Trial is funded with Federal funds from the National Institutes of Health (NIH), including the National Heart, Lung, and Blood Institute (NHLBI), the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), the National Institute on Aging (NIA), and the National Institute of Neurological Disorders and Stroke (NINDS), under contract numbers HHSN268200900040C, HHSN268200900046C, HHSN268200900047C, HHSN 268200900048C, HHSN268200900049C, and Inter-Agency Agreement Number A-HL-13-002-001.

W.C.C. receives Institutional grants from Eli Lilly and Boehringer-Ingelheim; uncompensated consulting and steering committee Takeda Pharmaceuticals. G.W.E. receives Institutional grant from AstraZeneca.

The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH, the U.S. Department of Veterans Affairs, or the United States Government.

Footnotes

Conflict of interest: All other authors have no conflicts of interest.

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