Aims

Non-steroidal anti-inflammatory drugs (NSAIDs), both non-selective and selective cyclooxygenase-2 (COX-2) inhibitors, are among the most widely prescribed drugs worldwide, but associate with increased blood pressure (BP) and adverse cardiovascular (CV) events. PRECISION-ABPM, a substudy of PRECISION was conducted at 60 sites, to determine BP effects of the selective COX-2 inhibitor celecoxib vs. the non-selective NSAIDs naproxen and ibuprofen.

Methods and results

In this double-blind, randomized, multicentre non-inferiority CV-safety trial, 444 patients (mean age 62 ± 10 years, 54% female) with osteoarthritis (92%) or rheumatoid arthritis (8%) and evidence of or at increased risk for coronary artery disease received celecoxib (100–200 mg bid), ibuprofen (600–800 mg tid), or naproxen (375–500 mg bid) with matching placebos in a 1: 1: 1 allocation, to assess the effect on 24-h ambulatory BP after 4 months. The change in mean 24-h systolic BP (SBP) in celecoxib, ibuprofen and naproxen-treated patients was -0.3 mmHg [95% confidence interval (CI), −2.25, 1.74], 3.7 (95% CI, 1.72, 5.58) and 1.6 mmHg (95% CI, −0.40, 3.57), respectively. These changes resulted in a difference of − 3.9 mmHg (P = 0.0009) between celecoxib and ibuprofen, of − 1.8 mmHg (P = 0.12) between celecoxib and naproxen, and of − 2.1 mmHg (P = 0.08) between naproxen and ibuprofen. The percentage of patients with normal baseline BP who developed hypertension (mean 24-h SBP ≥ 130 and/or diastolic BP ≥ 80 mmHg) was 23.2% for ibuprofen, 19.0% for naproxen, and 10.3% for celecoxib (odds ratio 0.39, P = 0.004 and odds ratio 0.49, P = 0.03 vs. ibuprofen and naproxen, respectively).

Conclusions

In PRECISION-ABPM, allocation to the non-selective NSAID ibuprofen, compared with the COX-2 selective inhibitor celecoxib was associated with a significant increase of SBP, and a higher incidence of new-onset hypertension.

ClinicalTrials

gov number NCT00346216

Introduction

More than 70 million prescriptions for non-steroidal anti-inflammatory drugs (NSAIDs) are written each year in the USA.1 With over-the-counter use included, more than 30 billion doses of NSAIDs are consumed annually in the USA alone.1  ,  2 On 9 July 2015, the US Food and Drug Administration (FDA) strengthened a warning on all prescription and over-the-counter non-selective NSAIDs and cyclooxygenase 2 (COX-2) selective inhibitors, stating that this class of agents can increase adverse cardiovascular outcomes. The uncertainty concerning the cardiovascular safety of NSAIDs presents practitioners with difficult management decisions,3 particularly for the 19% of the population in the USA who use at least one NSAID on a regular basis, including 30 million Americans with osteoarthritis,2  ,  4 of whom more than 40% also have hypertension.5  ,  6 Moreover, current hypertension guidelines only scarcely mention the use of analgesics in this particular population.7

Non-selective NSAIDs and selective inhibitors of COX-2 can increase blood pressure (BP) or interfere with BP control,8  ,  9 and even small differences in BP may impact cardiovascular morbidity and mortality.10–13 Hence, there is a particular need to investigate the differential effects on BP with these NSAIDs. While effects on BP may in part explain the cardiovascular risks of NSAIDs, few prospective, long-term, placebo-controlled trials in patients with arthritis have specifically assessed the differential effects of non-selective and selective COX-2 inhibitors on ambulatory BP.

The recently published Prospective Randomized Evaluation of Celecoxib Integrated Safety vs. Ibuprofen Or Naproxen (PRECISION),14 a double-blind, triple-dummy, randomized, three-arm parallel group design multicentre cardiovascular safety trial mandated by the FDA in patients with arthritis with or at increased risk for cardiovascular disease, demonstrated distinctly different safety profiles amongst alternative NSAIDs. In view of concerns with regard to the contribution of BP elevations to increased cardiovascular events within this group of drugs, PRECISION-ABPM, a pre-specified substudy of PRECISION,15 aimed to delineate differential BP effects and the relationship between changes in ambulatory BP of the selective COX-2 inhibitor celecoxib vs. the non-selective NSAIDs naproxen and ibuprofen.

Methods

Detailed methods for the PRECISION trial have been published previously15 and both the protocol and statistical analysis plan for PRECISION-ABPM are available as Supplementary files.

Study design and oversight

PRECISION-ABPM is a pre-specified substudy of PRECISION, a randomized, multicentre, double-blind, non-inferiority trial conducted in patients with rheumatoid arthritis (RA) or osteoarthritis (OA) who had pre-existing or were at relatively high risk for cardiovascular disease. Randomization was stratified by the primary diagnosis (OA or RA), aspirin use, and geographic region. Institutional review boards approved the study and patients provided written informed consent. In PRECISION, a multidisciplinary executive committee supervised the trial and an independent data monitoring committee reviewed unblinded data for safety. Executive committee members agreed not to accept any financial payments related to NSAIDs from any manufacturer of NSAIDs throughout the duration of the trial, including from the trial’s sponsor. The sponsor participated in the design of the trial and writing of the protocol in collaboration with the executive committee and consultation with the FDA, assisted with data collection and maintained the trial database. The sponsor shared operational roles with the Cleveland Clinic Coordinating Center for Clinical Research (C5Research) and several contract research organizations. The academic authors wrote the articles for PRECISION and PRECISION-ABPM. The sponsor was allowed to review and comment on the article, but the decision to publish and final contents were determined by the academic authors with no limits on the right to publish. All authors had access to the final results, approved the article and take responsibility for its accuracy, completeness, and adherence to the study protocol.

Inclusion and exclusion criteria

PRECISION enrolled patients ≥18 years of age who, as determined by the patient and physician, required daily treatment with NSAIDs for arthritis pain. Inclusion required established cardiovascular disease or increased risk for development of cardiovascular disease (defined in the Supplementary material online, Appendix). The protocol and a prior publication describe other inclusion and exclusion criteria.15

Treatments

Following randomization, patients received either celecoxib, 100 mg bid, ibuprofen, 600 mg tid, or naproxen, 375 mg bid with matching placebos in a 1: 1: 1 allocation. At subsequent visits for RA patients, investigators could increase the dose to celecoxib 200 mg bid, ibuprofen 800 mg tid, or naproxen 500 mg bid for treatment of symptoms. For patients with OA, upward titration of ibuprofen and naproxen was permitted; however, regulatory dosing restrictions allowed dose escalation for celecoxib in RA patients but not OA patients. Esomeprazole (20–40 mg) was provided for gastric protection to all patients. Investigators were encouraged to provide optimal cardiovascular preventive management as recommended by current guidelines. Patients receiving low-dose aspirin (≤325 mg daily) were permitted to continue this therapy.

Ambulatory blood pressure measurements

ABP measurements were obtained from all participants using a SpaceLabs 90207 monitor. A central ABPM reading laboratory performed the ABPM data collection, reading, and quality evaluation for the PRECISION trial database. ABP was measured every 20 min during daytime (06: 00–21: 59 h), and every 30 min during night-time (22: 00–05: 59 h). If informed by the central ABPM reading laboratory that quality criteria were not met, the investigators asked the patient to return to the clinical site to repeat the study within 3 days from notification by the central ABPM reading laboratory.

Outcomes

The primary ABPM substudy end point was the change from baseline in 24-h mean systolic BP (SBP) at Month 4. Secondary end points were the change from baseline in 24-h mean SBP at Month 2, change from baseline in 24-h average diastolic BP (DBP) at Months 2 and 4, 24-h pulse pressure (PP = SBP−DBP) change from baseline at Months 2 and 4, the mean awake (06: 00–21: 59 h) and sleep (22: 00–05: 59 h) SBP and DBP and mean arterial pressure change from baseline at Months 2 and 4. In addition, the relationship between change in BP (ABPM) and subsequent cardiovascular events, the composite of cardiovascular (CV) death, non-fatal myocardial infarction or nonfatal stroke, were analysed. An independent committee of multidisciplinary specialists at C5Research, blinded to treatment allocation, reviewed and adjudicated events.

Statistical analysis

The primary end point for the substudy was the change from baseline in 24-h mean SBP at Month 4. Assuming a standard deviation of approximately 7.5 mmHg and using a Bonferroni adjustment for multiple treatment comparisons a sample size of 117 evaluable patients per arm allowed detection of a 3 mmHg difference between any two treatment groups, with 80% power and at the 0.0167 (=0.05/3) level of significance. Assuming a 35% dropout rate, the study required randomization of 180 patients per arm (for a total of 540) to obtain 117 evaluable patients. In case the dropout rate was lower than 35%, the study design allowed enrolment to stop once the number of evaluable patients per arm was reached.

The ABPM analyses were based on the substudy modified intention-to-treat (MITT) population, consisting of all randomized patients who had valid ambulatory BP data for analyses thus excluding subjects with missing ABPM recording at baseline or subjects with a baseline ABPM but with no follow-up ABPM recordings. For patients who discontinued study drug prematurely prior to Month 2, measurements taken at time of discontinuation were used as the Month 2 measurement. Similarly, measurements taken at time of discontinuation at or after Month 2 were used as the Month 4 measurement. The primary analysis used an analysis of covariance (ANCOVA) model with treatment and region as factors, and the baseline 24-h average SBP and BMI as covariates. The least squares (LS) mean for each of the three treatment groups, the difference between each pair of the LS means, and the P-values for these differences were presented. Each of the three comparisons was considered statistically significant if the P-value was less than 0.0167. 95% confidence intervals (CIs) were presented for the primary analysis to allow for comparisons to other studies utilizing unadjusted intervals. Additionally, a sensitivity analysis of the primary end point was conducted to evaluate the potential effect of missing data, the primary analysis was repeated based on a mixed model repeated measurement (MMRM) model which included baseline SBP, and BMI as covariates, and factors for treatment, region, visit, and treatment by visit interaction. All secondary end points of changes in BP were analysed similarly to the primary end point using an ANCOVA model based on the MITT population. A significance level of 0.05 was used for these secondary analyses, with no adjustments for multiple comparisons.

To evaluate the effect of subgroups on change in BP at Month 4, an ANCOVA model was used within each subgroup, with change in BP at Month 4 as the dependent variable, treatment, and region as factors, and baseline BP and BMI as covariates. Additionally treatment-by-subgroup interactions were determined to assess consistency of treatment effect across the subgroups. Prespecified subgroup analyses including chronic kidney disease (CKD) defined as a CKD-Epi16 eGFR < 60 and patients with hypertension at baseline. The remaining subgroup analyses [gender, race, diabetes, baseline use of aspirin, and (angiotensin-converting enzyme) ACE/angiotensin receptor blocker (ARB) concomitant use] were post  hoc.

Additionally, a post  hoc analysis was conducted for treatment comparison of the percent of normotensive patients (24-h SBP <130 mmHg and DBP <80 mmHg) who became hypertensive at Month 4 using Cochran–Mantel–Haenszel (CMH) test with adjustment for region. The proportion of patients with <0, 0–10, >10–20, and >20 mmHg increase from baseline to Month 4 in 24-h SBP was also compared between the three treatments using CMH stratified by region.

Results

Patient population

Five hundred eighty-nine patients were screened and 545 enrolled from 60 centres in the USA between 18 September 2008 and 25 March 2013; 101 patients were excluded from analysis leaving 444 analysable participants with successful baseline, 2 or 4 months post-randomization ABPM assessments (Figure 1). There were 146 patients assigned to celecoxib (mean daily dose 208 ± 34 mg), 147 to naproxen (852 ± 98 mg), and 151 to ibuprofen (2031 ± 237 mg). The groups had similar baseline characteristics (Table 1), including BP, serum creatinine, plasma glucose, and glycosylated haemoglobin concentrations. Sixty-two percent of the patients were treated with ACE inhibitors or ARBs, 35% with a diuretic and 22% with a calcium channel blocker, while 53% received multiple antihypertensive therapies.

Table 1

Baseline characteristics of the patients

CharacteristicsCelecoxib (100–200 mg bid)Ibuprofen (600–800 mg tid)Naproxen (375–500 mg bid)
N=146N=151N=147
Age, years62.1 ± 10.161.9 ± 9.761.4 ± 10.3
Sex (m/f)70/7672/7963/84
Race, n (%)
 White118 (80.8)120 (79.5)119 (81.0)
 Black19 (13.0)26 (17.2)24 (16.3)
 Other9 (6.2)5 (3.3)4 (2.7)
Weight (kg)91.4 ± 22.493.0 ± 22.390.5 ± 21.6
BMI (kg/m2)32.6 ± 7.032.7 ± 6.931.9 ± 6.6
Primary diagnosis, n (%)
 Rheumatoid arthritis12 (8.2)13 (8.6)9 (6.1)
 Osteoarthritis134 (91.8)138 (91.4)138 (93.9)
Baseline aspirin, n (%)72 (49.3)74 (49.0)67 (45.6)
Blood pressure
 SBP, mmHg125.1 ± 9.41125.5 ± 10.63125.3 ± 9.93
 DBP, mmHg74.6 ± 7.4374.2 ± 8.7274.8 ± 7.52
Laboratory characteristics
 Cholesterol, mg/dL184.7 ± 39.33183.1 ± 41.69191.3 ± 46.14
 HDL, mg/dL49.1 ± 15.7951.1 ± 13.2252.9 ± 17.31
 LDL, mg/dL101.6 ± 38.23102.0 ± 34.55105.5 ± 37.73
 TG, mg/dL171.2 ± 107.79150.8 ± 97.98169.2 ± 156.83
 Hb, g/dL13.9 ± 1.3713.8 ± 1.5714.0 ± 1.38
 HbA1c, %7.6 ± 1.927.4 ± 1.637.5 ± 2.08
 Glucose, mg/dL119.1 ± 56.94121.9 ± 57.50116.9 ± 46.33
 Creatinine, mg/dL0.9 ± 0.210.9 ± 0.230.9 ± 0.20
 eGFR, ml/min/1.73m279.8 ± 18.2879.8 ± 18.2579.6 ± 18.16
HAQ disability index1.0 ± 0.571.1 ± 0.611.0 ± 0.56
Number (%) of patients with concomitant medication (below)124 (84.9)134 (88.7)128 (87.1)
Agents acting on the RAAS, n (%)86 (58.9)102 (67.5)86 (58.5)
Beta-blocker42 (28.8)53 (35.1)50 (34.0)
Ca channel blockers, n (%)34 (23.3)33 (21.9)32 (21.8)
Diuretics, n (%)47 (32.2)62 (41.1)47 (32.0)
Peripheral vasodilators12 (8.2)5 (3.3)8 (5.4)
Others19 (13.0)17 (11.3)19 (12.9)
CharacteristicsCelecoxib (100–200 mg bid)Ibuprofen (600–800 mg tid)Naproxen (375–500 mg bid)
N=146N=151N=147
Age, years62.1 ± 10.161.9 ± 9.761.4 ± 10.3
Sex (m/f)70/7672/7963/84
Race, n (%)
 White118 (80.8)120 (79.5)119 (81.0)
 Black19 (13.0)26 (17.2)24 (16.3)
 Other9 (6.2)5 (3.3)4 (2.7)
Weight (kg)91.4 ± 22.493.0 ± 22.390.5 ± 21.6
BMI (kg/m2)32.6 ± 7.032.7 ± 6.931.9 ± 6.6
Primary diagnosis, n (%)
 Rheumatoid arthritis12 (8.2)13 (8.6)9 (6.1)
 Osteoarthritis134 (91.8)138 (91.4)138 (93.9)
Baseline aspirin, n (%)72 (49.3)74 (49.0)67 (45.6)
Blood pressure
 SBP, mmHg125.1 ± 9.41125.5 ± 10.63125.3 ± 9.93
 DBP, mmHg74.6 ± 7.4374.2 ± 8.7274.8 ± 7.52
Laboratory characteristics
 Cholesterol, mg/dL184.7 ± 39.33183.1 ± 41.69191.3 ± 46.14
 HDL, mg/dL49.1 ± 15.7951.1 ± 13.2252.9 ± 17.31
 LDL, mg/dL101.6 ± 38.23102.0 ± 34.55105.5 ± 37.73
 TG, mg/dL171.2 ± 107.79150.8 ± 97.98169.2 ± 156.83
 Hb, g/dL13.9 ± 1.3713.8 ± 1.5714.0 ± 1.38
 HbA1c, %7.6 ± 1.927.4 ± 1.637.5 ± 2.08
 Glucose, mg/dL119.1 ± 56.94121.9 ± 57.50116.9 ± 46.33
 Creatinine, mg/dL0.9 ± 0.210.9 ± 0.230.9 ± 0.20
 eGFR, ml/min/1.73m279.8 ± 18.2879.8 ± 18.2579.6 ± 18.16
HAQ disability index1.0 ± 0.571.1 ± 0.611.0 ± 0.56
Number (%) of patients with concomitant medication (below)124 (84.9)134 (88.7)128 (87.1)
Agents acting on the RAAS, n (%)86 (58.9)102 (67.5)86 (58.5)
Beta-blocker42 (28.8)53 (35.1)50 (34.0)
Ca channel blockers, n (%)34 (23.3)33 (21.9)32 (21.8)
Diuretics, n (%)47 (32.2)62 (41.1)47 (32.0)
Peripheral vasodilators12 (8.2)5 (3.3)8 (5.4)
Others19 (13.0)17 (11.3)19 (12.9)

For baseline HDL, the P-value was statistically significantly different for the celecoxib vs. naproxen comparison (P = 0.0435), for all other baseline characteristics, showed no statistically significant differences between treatments.

BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic BP.

Table 1

Baseline characteristics of the patients

CharacteristicsCelecoxib (100–200 mg bid)Ibuprofen (600–800 mg tid)Naproxen (375–500 mg bid)
N=146N=151N=147
Age, years62.1 ± 10.161.9 ± 9.761.4 ± 10.3
Sex (m/f)70/7672/7963/84
Race, n (%)
 White118 (80.8)120 (79.5)119 (81.0)
 Black19 (13.0)26 (17.2)24 (16.3)
 Other9 (6.2)5 (3.3)4 (2.7)
Weight (kg)91.4 ± 22.493.0 ± 22.390.5 ± 21.6
BMI (kg/m2)32.6 ± 7.032.7 ± 6.931.9 ± 6.6
Primary diagnosis, n (%)
 Rheumatoid arthritis12 (8.2)13 (8.6)9 (6.1)
 Osteoarthritis134 (91.8)138 (91.4)138 (93.9)
Baseline aspirin, n (%)72 (49.3)74 (49.0)67 (45.6)
Blood pressure
 SBP, mmHg125.1 ± 9.41125.5 ± 10.63125.3 ± 9.93
 DBP, mmHg74.6 ± 7.4374.2 ± 8.7274.8 ± 7.52
Laboratory characteristics
 Cholesterol, mg/dL184.7 ± 39.33183.1 ± 41.69191.3 ± 46.14
 HDL, mg/dL49.1 ± 15.7951.1 ± 13.2252.9 ± 17.31
 LDL, mg/dL101.6 ± 38.23102.0 ± 34.55105.5 ± 37.73
 TG, mg/dL171.2 ± 107.79150.8 ± 97.98169.2 ± 156.83
 Hb, g/dL13.9 ± 1.3713.8 ± 1.5714.0 ± 1.38
 HbA1c, %7.6 ± 1.927.4 ± 1.637.5 ± 2.08
 Glucose, mg/dL119.1 ± 56.94121.9 ± 57.50116.9 ± 46.33
 Creatinine, mg/dL0.9 ± 0.210.9 ± 0.230.9 ± 0.20
 eGFR, ml/min/1.73m279.8 ± 18.2879.8 ± 18.2579.6 ± 18.16
HAQ disability index1.0 ± 0.571.1 ± 0.611.0 ± 0.56
Number (%) of patients with concomitant medication (below)124 (84.9)134 (88.7)128 (87.1)
Agents acting on the RAAS, n (%)86 (58.9)102 (67.5)86 (58.5)
Beta-blocker42 (28.8)53 (35.1)50 (34.0)
Ca channel blockers, n (%)34 (23.3)33 (21.9)32 (21.8)
Diuretics, n (%)47 (32.2)62 (41.1)47 (32.0)
Peripheral vasodilators12 (8.2)5 (3.3)8 (5.4)
Others19 (13.0)17 (11.3)19 (12.9)
CharacteristicsCelecoxib (100–200 mg bid)Ibuprofen (600–800 mg tid)Naproxen (375–500 mg bid)
N=146N=151N=147
Age, years62.1 ± 10.161.9 ± 9.761.4 ± 10.3
Sex (m/f)70/7672/7963/84
Race, n (%)
 White118 (80.8)120 (79.5)119 (81.0)
 Black19 (13.0)26 (17.2)24 (16.3)
 Other9 (6.2)5 (3.3)4 (2.7)
Weight (kg)91.4 ± 22.493.0 ± 22.390.5 ± 21.6
BMI (kg/m2)32.6 ± 7.032.7 ± 6.931.9 ± 6.6
Primary diagnosis, n (%)
 Rheumatoid arthritis12 (8.2)13 (8.6)9 (6.1)
 Osteoarthritis134 (91.8)138 (91.4)138 (93.9)
Baseline aspirin, n (%)72 (49.3)74 (49.0)67 (45.6)
Blood pressure
 SBP, mmHg125.1 ± 9.41125.5 ± 10.63125.3 ± 9.93
 DBP, mmHg74.6 ± 7.4374.2 ± 8.7274.8 ± 7.52
Laboratory characteristics
 Cholesterol, mg/dL184.7 ± 39.33183.1 ± 41.69191.3 ± 46.14
 HDL, mg/dL49.1 ± 15.7951.1 ± 13.2252.9 ± 17.31
 LDL, mg/dL101.6 ± 38.23102.0 ± 34.55105.5 ± 37.73
 TG, mg/dL171.2 ± 107.79150.8 ± 97.98169.2 ± 156.83
 Hb, g/dL13.9 ± 1.3713.8 ± 1.5714.0 ± 1.38
 HbA1c, %7.6 ± 1.927.4 ± 1.637.5 ± 2.08
 Glucose, mg/dL119.1 ± 56.94121.9 ± 57.50116.9 ± 46.33
 Creatinine, mg/dL0.9 ± 0.210.9 ± 0.230.9 ± 0.20
 eGFR, ml/min/1.73m279.8 ± 18.2879.8 ± 18.2579.6 ± 18.16
HAQ disability index1.0 ± 0.571.1 ± 0.611.0 ± 0.56
Number (%) of patients with concomitant medication (below)124 (84.9)134 (88.7)128 (87.1)
Agents acting on the RAAS, n (%)86 (58.9)102 (67.5)86 (58.5)
Beta-blocker42 (28.8)53 (35.1)50 (34.0)
Ca channel blockers, n (%)34 (23.3)33 (21.9)32 (21.8)
Diuretics, n (%)47 (32.2)62 (41.1)47 (32.0)
Peripheral vasodilators12 (8.2)5 (3.3)8 (5.4)
Others19 (13.0)17 (11.3)19 (12.9)

For baseline HDL, the P-value was statistically significantly different for the celecoxib vs. naproxen comparison (P = 0.0435), for all other baseline characteristics, showed no statistically significant differences between treatments.

BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic BP.

Patient disposition in the PRECISION-ABPM trial (consort diagram).
Figure 1

Patient disposition in the PRECISION-ABPM trial (consort diagram).

A total of 374 (84%) of 444 patients completed 4 months of the substudy, which included the primary outcome and ABP assessment. The remaining 70 patients (20 celecoxib, 33 ibuprofen, and 17 naproxen) did not have a valid Month 4 ambulatory BP assessment; 15 of these 70 patients were withdrawn from the study or treatment due to an adverse event prior to Month 4: 4 (2.7%) of the patients had been randomized to celecoxib, 7 (4.6%) to ibuprofen, and 4 (2.7%) to naproxen (Figure 1).

Primary outcomes

The hourly ambulatory SBP curves over 24 h at baseline and at Month 4 for the 3 treatment groups are shown in Figure 2A–C. A consistent increase from baseline in SBP was observed in the ibuprofen group (P-value for change in 24-h SBP < 0.001). The change from baseline to Month 4 in 24-h SBP was not statistically significant for celecoxib and naproxen (P = 0.801 and 0.117, respectively). The change in mean 24-h SBP in celecoxib, ibuprofen, and naproxen-treated patients was −0.3 mmHg (95% CI, −2.25, 1.74), 3.7 (95% CI, 1.72, 5.58), and 1.6 mmHg (95% CI, −0.40, 3.57), respectively (Figure 3). These changes resulted in a statistically significant difference of −3.9 mmHg (95% CI, −6.19, −1.61; P ≤ 0.001) between celecoxib and ibuprofen; differences of −1.8 mmHg (95% CI, −4.15, 0.47; P= 0.12) between celecoxib and naproxen, and of −2.1 mmHg (95% CI, −4.36, 0.23; P= 0.08) (Table 2) between naproxen and ibuprofen were noted as well. Results from the MMRM results were consistent with the primary analysis, where at Month 4, the change from baseline in 24-h SBP was −0.3 ± 1.02, 3.7 ± 1.03, 1.9 ± 1.00 for celecoxib, ibuprofen, and naproxen respectively. P-values were 0.002, 0.07, 0.16 for celecoxib vs. ibuprofen, celecoxib vs. naproxen, and naproxen vs. ibuprofen respectively.

Table 2

Effects of celecoxib, ibuprofen, and naproxen on 24-h ambulatory blood pressure

ParameterCelecoxib 100–200 mg BIDP-valueIbuprofen 600–800 mg TIDNaproxen 375–500 mg BIDP-value
n = 146n = 151n = 147
Systolic blood pressure
 Baseline124.18 ± 12.351125.24 ± 11.775123.55 ± 11.00
 After 4 months124.00 ± 13.213128.65 ± 13.542125.46 ± 12.487
 Change from Baseline−0.18 ± 9.4003.42 ± 12.2591.91 ± 9.796
 Change from BL vs. Ibuprofen (Difference in LS Mean (CI))−3.9 (−6.19, −1.61)0.0009−2.06 (−4.36, 0.23)0.08
 Change from BL vs. Naproxen (Difference in LS mean (CI))−1.84 (−4.15, 0.47)0.12
Diastolic blood pressure
 Baseline70.88 ± 8.0070.53 ± 8.45770.12 ± 7.399
 After 4 months70.87 ± 8.77071.26 ± 9.00270.85 ± 7.922
 Change from baseline−0.01 ± 5.9330.74 ± 6.8780.74 ± 6.294
 Change from BL vs. Ibuprofen (difference in LS Mean (CI))−0.65 (−2.04, 0.74)0.36−0.12 (−1.51, 1.27)0.87
 Change from BL vs. Naproxen (Difference in LS mean (CI))−0.53 (−1.94, 0.87)0.46
Mean blood pressure
 Baseline89.65 ± 8.45489.86 ± 8.80688.87 ± 7.475
 After 4 months89.69 ± 9.48191.56 ± 9.29590.26 ± 8.470
 Change from Baseline0.04 ± 6.9721.71 ± 8.7421.39 ± 7.357
 Change from BL vs. Ibuprofen (Difference in LS Mean (CI))−1.75 (−3.4, −0.10)0.04−0.69 (−2.34, 0.96)0.41
 Change from BL vs. Naproxen (Difference in LS mean (CI))−1.06 (−2.72, 0.61)0.21
Pulse pressure
 Baseline53.31 ± 9.92054.71 ± 10.08753.43 ± 9.833
 After 4 months53.13 ± 9.87157.39 ± 11.80454.60 ± 10.334
 Change from baseline−0.17 ± 4.8842.68 ± 7.0181.17 ± 5.348
 Change from BL vs. Ibuprofen (Difference in LS Mean (CI))−2.99 (−4.3, −1.68)<0.0001−1.71 (−3.02, −0.40)0.01
 Change from BL vs. Naproxen (Difference in LS mean (CI))−1.28 (−2.60, 0.04)0.06
ParameterCelecoxib 100–200 mg BIDP-valueIbuprofen 600–800 mg TIDNaproxen 375–500 mg BIDP-value
n = 146n = 151n = 147
Systolic blood pressure
 Baseline124.18 ± 12.351125.24 ± 11.775123.55 ± 11.00
 After 4 months124.00 ± 13.213128.65 ± 13.542125.46 ± 12.487
 Change from Baseline−0.18 ± 9.4003.42 ± 12.2591.91 ± 9.796
 Change from BL vs. Ibuprofen (Difference in LS Mean (CI))−3.9 (−6.19, −1.61)0.0009−2.06 (−4.36, 0.23)0.08
 Change from BL vs. Naproxen (Difference in LS mean (CI))−1.84 (−4.15, 0.47)0.12
Diastolic blood pressure
 Baseline70.88 ± 8.0070.53 ± 8.45770.12 ± 7.399
 After 4 months70.87 ± 8.77071.26 ± 9.00270.85 ± 7.922
 Change from baseline−0.01 ± 5.9330.74 ± 6.8780.74 ± 6.294
 Change from BL vs. Ibuprofen (difference in LS Mean (CI))−0.65 (−2.04, 0.74)0.36−0.12 (−1.51, 1.27)0.87
 Change from BL vs. Naproxen (Difference in LS mean (CI))−0.53 (−1.94, 0.87)0.46
Mean blood pressure
 Baseline89.65 ± 8.45489.86 ± 8.80688.87 ± 7.475
 After 4 months89.69 ± 9.48191.56 ± 9.29590.26 ± 8.470
 Change from Baseline0.04 ± 6.9721.71 ± 8.7421.39 ± 7.357
 Change from BL vs. Ibuprofen (Difference in LS Mean (CI))−1.75 (−3.4, −0.10)0.04−0.69 (−2.34, 0.96)0.41
 Change from BL vs. Naproxen (Difference in LS mean (CI))−1.06 (−2.72, 0.61)0.21
Pulse pressure
 Baseline53.31 ± 9.92054.71 ± 10.08753.43 ± 9.833
 After 4 months53.13 ± 9.87157.39 ± 11.80454.60 ± 10.334
 Change from baseline−0.17 ± 4.8842.68 ± 7.0181.17 ± 5.348
 Change from BL vs. Ibuprofen (Difference in LS Mean (CI))−2.99 (−4.3, −1.68)<0.0001−1.71 (−3.02, −0.40)0.01
 Change from BL vs. Naproxen (Difference in LS mean (CI))−1.28 (−2.60, 0.04)0.06

Mean ± SD are provided for treatment means.

The change in 24-h blood pressure values was analysed using analysis of covariance with treatment and region as factors and baseline 24-h blood pressure and body mass index as covariates.

BP, blood pressure; BL, baseline; CI, confidence interval; LS least squares.

Table 2

Effects of celecoxib, ibuprofen, and naproxen on 24-h ambulatory blood pressure

ParameterCelecoxib 100–200 mg BIDP-valueIbuprofen 600–800 mg TIDNaproxen 375–500 mg BIDP-value
n = 146n = 151n = 147
Systolic blood pressure
 Baseline124.18 ± 12.351125.24 ± 11.775123.55 ± 11.00
 After 4 months124.00 ± 13.213128.65 ± 13.542125.46 ± 12.487
 Change from Baseline−0.18 ± 9.4003.42 ± 12.2591.91 ± 9.796
 Change from BL vs. Ibuprofen (Difference in LS Mean (CI))−3.9 (−6.19, −1.61)0.0009−2.06 (−4.36, 0.23)0.08
 Change from BL vs. Naproxen (Difference in LS mean (CI))−1.84 (−4.15, 0.47)0.12
Diastolic blood pressure
 Baseline70.88 ± 8.0070.53 ± 8.45770.12 ± 7.399
 After 4 months70.87 ± 8.77071.26 ± 9.00270.85 ± 7.922
 Change from baseline−0.01 ± 5.9330.74 ± 6.8780.74 ± 6.294
 Change from BL vs. Ibuprofen (difference in LS Mean (CI))−0.65 (−2.04, 0.74)0.36−0.12 (−1.51, 1.27)0.87
 Change from BL vs. Naproxen (Difference in LS mean (CI))−0.53 (−1.94, 0.87)0.46
Mean blood pressure
 Baseline89.65 ± 8.45489.86 ± 8.80688.87 ± 7.475
 After 4 months89.69 ± 9.48191.56 ± 9.29590.26 ± 8.470
 Change from Baseline0.04 ± 6.9721.71 ± 8.7421.39 ± 7.357
 Change from BL vs. Ibuprofen (Difference in LS Mean (CI))−1.75 (−3.4, −0.10)0.04−0.69 (−2.34, 0.96)0.41
 Change from BL vs. Naproxen (Difference in LS mean (CI))−1.06 (−2.72, 0.61)0.21
Pulse pressure
 Baseline53.31 ± 9.92054.71 ± 10.08753.43 ± 9.833
 After 4 months53.13 ± 9.87157.39 ± 11.80454.60 ± 10.334
 Change from baseline−0.17 ± 4.8842.68 ± 7.0181.17 ± 5.348
 Change from BL vs. Ibuprofen (Difference in LS Mean (CI))−2.99 (−4.3, −1.68)<0.0001−1.71 (−3.02, −0.40)0.01
 Change from BL vs. Naproxen (Difference in LS mean (CI))−1.28 (−2.60, 0.04)0.06
ParameterCelecoxib 100–200 mg BIDP-valueIbuprofen 600–800 mg TIDNaproxen 375–500 mg BIDP-value
n = 146n = 151n = 147
Systolic blood pressure
 Baseline124.18 ± 12.351125.24 ± 11.775123.55 ± 11.00
 After 4 months124.00 ± 13.213128.65 ± 13.542125.46 ± 12.487
 Change from Baseline−0.18 ± 9.4003.42 ± 12.2591.91 ± 9.796
 Change from BL vs. Ibuprofen (Difference in LS Mean (CI))−3.9 (−6.19, −1.61)0.0009−2.06 (−4.36, 0.23)0.08
 Change from BL vs. Naproxen (Difference in LS mean (CI))−1.84 (−4.15, 0.47)0.12
Diastolic blood pressure
 Baseline70.88 ± 8.0070.53 ± 8.45770.12 ± 7.399
 After 4 months70.87 ± 8.77071.26 ± 9.00270.85 ± 7.922
 Change from baseline−0.01 ± 5.9330.74 ± 6.8780.74 ± 6.294
 Change from BL vs. Ibuprofen (difference in LS Mean (CI))−0.65 (−2.04, 0.74)0.36−0.12 (−1.51, 1.27)0.87
 Change from BL vs. Naproxen (Difference in LS mean (CI))−0.53 (−1.94, 0.87)0.46
Mean blood pressure
 Baseline89.65 ± 8.45489.86 ± 8.80688.87 ± 7.475
 After 4 months89.69 ± 9.48191.56 ± 9.29590.26 ± 8.470
 Change from Baseline0.04 ± 6.9721.71 ± 8.7421.39 ± 7.357
 Change from BL vs. Ibuprofen (Difference in LS Mean (CI))−1.75 (−3.4, −0.10)0.04−0.69 (−2.34, 0.96)0.41
 Change from BL vs. Naproxen (Difference in LS mean (CI))−1.06 (−2.72, 0.61)0.21
Pulse pressure
 Baseline53.31 ± 9.92054.71 ± 10.08753.43 ± 9.833
 After 4 months53.13 ± 9.87157.39 ± 11.80454.60 ± 10.334
 Change from baseline−0.17 ± 4.8842.68 ± 7.0181.17 ± 5.348
 Change from BL vs. Ibuprofen (Difference in LS Mean (CI))−2.99 (−4.3, −1.68)<0.0001−1.71 (−3.02, −0.40)0.01
 Change from BL vs. Naproxen (Difference in LS mean (CI))−1.28 (−2.60, 0.04)0.06

Mean ± SD are provided for treatment means.

The change in 24-h blood pressure values was analysed using analysis of covariance with treatment and region as factors and baseline 24-h blood pressure and body mass index as covariates.

BP, blood pressure; BL, baseline; CI, confidence interval; LS least squares.

(A–C) The hourly ambulatory SBP curves over 24 h (median and first and third quartiles) at baseline and at Month 4 for the 3 treatment groups (P for change in 24-h SBP for ibuprofen <0.001; for celecoxib and naproxen P = 0.801 and 0.117, respectively).
Figure 2

(A–C) The hourly ambulatory SBP curves over 24 h (median and first and third quartiles) at baseline and at Month 4 for the 3 treatment groups (P for change in 24-h SBP for ibuprofen <0.001; for celecoxib and naproxen P = 0.801 and 0.117, respectively).

Change in ambulatory 24-h systolic and diastolic BP from baseline at 4 months. These changes resulted in difference of − 3.9 mmHg (95% CI, −6.19, −1.61; P ≤0.001) between celecoxib and ibuprofen; differences of − 1.8 mmHg (95% CI, −4.15, 0.47; P = 0.12) between celecoxib and naproxen, and of − 2.1 mm Hg (95% CI, −4.36, 0.23; P = 0.08) between naproxen and ibuprofen.
Figure 3

Change in ambulatory 24-h systolic and diastolic BP from baseline at 4 months. These changes resulted in difference of − 3.9 mmHg (95% CI, −6.19, −1.61; P ≤0.001) between celecoxib and ibuprofen; differences of − 1.8 mmHg (95% CI, −4.15, 0.47; P = 0.12) between celecoxib and naproxen, and of − 2.1 mm Hg (95% CI, −4.36, 0.23; P = 0.08) between naproxen and ibuprofen.

Secondary outcomes and subgroup analyses

Average 24-h mean arterial BP (MABP = DBP + 1/3 × (SBP−DBP) at Month 4 was increased in the ibuprofen group, but not in patients receiving celecoxib or naproxen (Table 2). Correspondingly, the change from baseline at Month 4 of awake (06: 00–21: 59 h) SBP, as well as the sleep (22: 00–05: 59 h) SBP and therefore the average 24-h pulse pressure (PP = SBP−DBP) significantly increased in the ibuprofen group compared with celecoxib, as 24-h DBP remained unchanged throughout the course of the study. The results of the clinic SBP measurements for the population of this sub-study, paralleled the ambulatory BP results. Of note, at Month 4, clinic SBP increased by 5.2 ± 1.41 mmHg in the ibuprofen group, by 3.2 ± 1.41 in the naproxen group and by 1.0 ± 1.41 mmHg in celecoxib patients; (P =0.007 for the ibuprofen vs. celecoxib comparison and P = 0.17 for the celecoxib vs. naproxen comparison).

The percentage of patients with baseline 24-h SBPs lower than 130 mmHg and 24-h DBP lower than 80 mmHg (normotension) who developed hypertension (defined as mean 24-h SBP ≥ 130 and/or DBP ≥ 80 mmHg) was significantly greater for both ibuprofen and naproxen compared with celecoxib: OR 0.39 (95% CI, 0.21, 0.75) for celecoxib vs. ibuprofen and OR 0.49 (95% CI, 0.25, 0.96) for celecoxib vs. naproxen (Figure 4A). Compared with celecoxib, the ibuprofen treatment groups had larger proportions of patients whose 24-h SBP increased (P = 0.003), while the difference between celecoxib and naproxen was not significant (P= 0.07) (Figure 4B). During a mean follow-up of 2.49 years, 22 Anti-platelet Trialist Collaboration (APTC) events17 (composite of CV death, non-fatal myocardial infarction, or non-fatal stroke) occurred, nine in the ibuprofen, six in the naproxen, and seven in the celecoxib groups.

(A) The percentage of patients with baseline normotension who developed hypertension was significantly greater for both ibuprofen and naproxen than for celecoxib (P = 0.004 and P = 0.035, respectively). (B) Compared with celecoxib, the ibuprofen treatment groups had larger proportions of patients whose 24-h SBP increased (P = 0.003). There was no significant difference between celecoxib and naproxen (P = 0.07).
Figure 4

(A) The percentage of patients with baseline normotension who developed hypertension was significantly greater for both ibuprofen and naproxen than for celecoxib (P = 0.004 and P = 0.035, respectively). (B) Compared with celecoxib, the ibuprofen treatment groups had larger proportions of patients whose 24-h SBP increased (P = 0.003). There was no significant difference between celecoxib and naproxen (P=0.07).

In PRECISION,14 the risk for hospitalization with hypertension increased by 69% with ibuprofen compared with celecoxib (see Supplementary material online, Figure  S1). Furthermore, in PRECISION, celecoxib was associated with the lowest rate of investigator reported increase in office BP (2.3%) compared with ibuprofen (3.1%) and naproxen (2.5%).14

Sub-group Forest plots examining effects of comorbidities, patient characteristics and medications are shown in Figure 5. There was no statistical heterogeneity by aspirin use in the present study. Patients receiving a higher dose of ibuprofen (1800 mg vs. 2400 mg) did not show a higher BP. Indeed, the change in mean SBP for ibuprofen was 2.96 ± 1.603 mmHg in 79 patients with dose titration, and 4.04 ± 1.312 mmHg for the 72 patients without. In contrast, the adjusted mean change in SBP at Month 4 for Naproxen was 2.23 ± 1.639 mmHg with (n = 80), and 0.62 ± 1.346 mmHg without dose titration (n = 67). Since regulatory restrictions precluded a dose escalation for celecoxib, only 9 of the 146 patients receiving celecoxib had the dose increased during the course of the study and the mean change in 24-h SBP for these patients was 3.3 + 3.77, vs. a mean change of −0.3 + 1.08 for celecoxib patients who did not titrate. For patients who did not titrate, P-values for mean change in 24-h SBP were 0.002, 0.51, 0.04 for celecoxib vs. ibuprofen, celecoxib vs. naproxen, and naproxen vs. ibuprofen respectively.

Sub-group forest plots examining effects of comorbidities, patient characteristics, and medications.
Figure 5

Sub-group forest plots examining effects of comorbidities, patient characteristics, and medications.

Importantly, pain control was similar according to the different treatment groups. The reduction from baseline in the visual analogue scale for pain was 12.4 ± 2.41, 9.4 ± 2.37, 7.9 ± 2.41 for celecoxib, ibuprofen, and naproxen respectively (all P-values were not significant).

Discussion

In the PRECISION-ABPM trial, the use of the non-selective NSAID ibuprofen, compared with celecoxib, associated with a significant increase in ambulatory SBP. In view of the established continuous relationship between BP and both cardiovascular and cerebrovascular events, 10    13 the pressor response of more than 3 mm Hg associated with the use of ibuprofen, along with a higher incidence of de  novo hypertension and worsening of BP control could impact clinical outcomes for patients chronically using NSAIDs.

The findings of PRECISION-ABPM concur with the primary outcome results of the overall PRECISION trial14 that showed that ibuprofen-treated patients, compared with those who received naproxen and celecoxib, experienced numerically more cardiovascular and renal events. In PRECISION, celecoxib was associated with the lowest rate in reported increase in office BP (2.3%) vs. ibuprofen (3.1%) and naproxen (2.5%), while the rate of hospitalization for hypertension was 69% higher with ibuprofen compared with celecoxib.14 Investigator-reported adverse effects also showed a similar pattern with a higher reported incidence of hypertension.14

PRECISION-ABPM demonstrates that celecoxib and naproxen induce either a slight decrease (celecoxib) or a relatively small increase (naproxen) in BP and lower rates of development of hypertension compared with ibuprofen. A widely cited hypothesis has proposed that the adverse effects of NSAIDs relate directly to the effects of these drugs on platelets and endothelial cells.18 The current findings provide evidence that elevated cardiovascular risk with NSAIDs may not only depend on effects on the vascular endothelium but also agent-specific increases in BP. Given the widespread use of NSAIDs, even a small rise in SBP among hypertensive patients with osteoarthritis could substantially increase cardiovascular events in a population. Indeed, maintaining or achieving BP control in these patients could avoid an estimated >70 000 deaths from stroke and 60 000 deaths from coronary heart disease, resulting in 449 000 patient-years of life saved and 3.8 billion dollars in direct health care cost savings.19

The current results support a distinct heterogeneity with respect to BP elevations and increased cardiovascular events within the group of non-selective and selective NSAIDs. Indeed, previous head-to-head studies and meta-analyses already questioned whether all NSAID and coxibs have similar effects on BP.20–27 In controlled hypertensive patients with osteoarthritis in TARGET, 28 patients treated with ibuprofen had a 2.2 mm Hg increase in 24 h SBP, compared with a reduction of 2.7 mm Hg in patients randomized to the selective COX-2 inhibitor lumiracoxib. In contrast, in CRESCENT, rofecoxib, particularly at higher doses, significantly increased BP compared with celecoxib or naproxen.26 Although comparison across different randomized clinical trials requires caution, hypertension was more frequently adjudicated in clinical trials with rofecoxib, as in APPROVe29 and VIGOR,30 when compared with placebo, than in the CLASS,31 APC,32 and PreSAP33 trials with celecoxib.

If a ‘class’ effect is not evident for COX-2 selective inhibitors, what might explain the observed differences on BP and cardiovascular risk between the different coxibs and other NSAIDs? While all COX-2 selective inhibitors may disrupt the balance between prostacyclin and thromboxane, multiple and opposing cardiovascular influences might also have contributed to our findings including differences in disposition, metabolites, effects on intrarenal prostaglandin production, distinctions in molecular structure, differences in membrane permeability,34 and differential effects on endothelium-dependent relaxation which may influence BP.35  ,  36 Moreover, the substantial pharmacological heterogeneity among the different NSAIDs and coxibs requires consideration, as these drugs have distinct chemical structures, pharmacokinetic properties and subsequent metabolism (cytosol reductase vs. cytochrome P450).37–39 In previous studies with patients receiving NSAIDs on a background therapy with aspirin,40 plasma- and urinary- concentrations of prostacyclin and thromboxane remained unchanged, thus rendering a potential COX-2 inhibiting effect unlikely to explain fully the more pronounced hypertensive effects of ibuprofen compared with celecoxib and naproxen under the conditions of the present study. Although some data suggest that ibuprofen and naproxen interfere with the antiplatelet effects of aspirin, this study showed no heterogeneity of BP based on aspirin consumption.

The PRECISION-ABPM trial has limitations. Regulatory restrictions limited the dose of celecoxib to 200 mg daily for osteoarthritis patients who comprised the majority enrolled, which may have provided a safety advantage for celecoxib. Per protocol, RA patients could increase the celecoxib dose to 200 mg twice daily if needed. However, mean doses for both non-selective NSAIDs were also submaximal. Indeed, the three study drugs showed similar analgesic efficacy. For ethical reasons, a placebo comparison arm was not feasible since the protocol required all patients and physicians to document that patient had required NSAID treatment for at least 6 months for adequate symptom relief. Therefore potential changes in BP vs. no treatment are unknown. Acetaminophen was not selected as a comparator because prior studies had demonstrated its ineffectiveness in patients with NSAID-dependent arthritis. Notably, even acetaminophen increases ambulatory BP and heart rate in patients with coronary artery disease.41 Furthermore, extrapolations to occasional intake of these drugs for pain flares require considerable caution. In a recent very large patient data meta-analysis (almost a half-million individuals assembled from Canadian and European health care databases), use of all NSAIDs associated with increased risk of myocardial infarction.42

Although 16% of patients (14% celecoxib, 12% naproxen, and 22% ibuprofen) did not have Month 4 measurements, the current observations represent the largest ABPM comparison of these agents. The blinded study design and the objective nature of the study outcome variable support the reliability of our findings. Of note, ABPM improves the accuracy of the diagnosis, predicts cardiovascular morbidity and mortality much better than conventional clinic BP measurements, and identifies and prevents unnecessary treatment of patients with white-coat hypertension, which occurs in 15–30% of patients with an elevated office BP.43  ,  44 A painful arthritis flare may elevate BP transiently leading to misclassification of hypertension. The generally similar analgesic efficacy of the active therapies suggests that this possible confounder should not affect the head-to-head comparisons in this study.

In conclusion, the PRECISION-ABPM trial reveals differential BP effects of treatment with celecoxib vs. the non-selective NSAID ibuprofen. These results support and extend the findings of the PRECISION Trial demonstrating non-inferiority for the primary cardiovascular outcomes for moderate doses of celecoxib compared with naproxen or ibuprofen. These findings may have the greatest clinical significance in the elderly, who have a high prevalence of arthritis and hypertension. Since PRECISION-ABPM demonstrates differential effects of NSAIDs on BP, clinicians need to weigh the potential hazards of worsening BP control and its clinical sequelae as well as the risks to gastrointestinal safety when considering the use of these agents, particularly ibuprofen.

Supplementary material

Supplementary material is available at European Heart Journal online.

Funding

This study was funded by Pfizer Inc. Grant support to institution from Abbott, AstraZeneca, Bayer Health Care, Biotronik, Boston Scientific, Eli Lilly, Medtronic, Novartis, Servier and St. Jude [to T.F L.]; grant support to institution from Pfizer [to D.H.S, E.H; V.M., S.E.N.]; and Pfizer for the PRECISION trial [to D.A.D., L.M.W.].

Conflict of interest statement: F.R.: personal fees from St. Jude Medical, Servier, ZOLL Medical, AstraZeneca, HeartWare, Sanofi, Cardiorentis, Novartis, Amgen, and Bristol-Myers Squibb, and grant support from St. Jude Medical; J.S.B.: fees for serving on data and safety monitoring boards from Cardiorentis, Novartis, Celladon, GlaxoSmithKline, and Pfizer, fees for serving on executive committees from Servier and Biotronik, fees for serving on event adjudication committees from AstraZeneca and Takeda, fees for serving on an advisory board from ARMGO Pharma, consulting fees from Boehringer Ingelheim, Abbott Laboratories, Sarepta Therapeutics, Amgen, Servier, and Gilead Sciences, and holding stock in BioMarin Pharmaceutical; A.J.F.: Personal fees from Bayer, Novartis, Bristol-Myers Squibb, Orion, Amgen, all outside the submitted work; N.D.Y.: will receive a fee for an advisory panel from Pfizer; P.L.: is an unpaid consultant to, or involved in clinical trials for Amgen, AstraZeneca, Esperion Therapeutics, Ionis Pharmaceuticals, Kowa Pharmaceuticals, Merck & Co. Inc., Novartis, Pfizer, Sanofi-Regeneron, Takeda Pharmaceuticals and XBiotech, Inc. Member of scientific advisory board for Amgen, Athera biotechnologies, Corvidia Therapeutics, DalCor Pharmaceuticals, Interleukin Genetics, Kowa Pharmaceuticals, Olatec Therapeutics, Medimmune and Novartis. Dr. Libby’s laboratory has received research funding in the last 2 years from Novartis; T.F L.: Personal fees for Adjudication Committee ARIVE trial, Bayer Health Care; E.H.: fees for serving on advisory boards from AbbVie, Bristol-Myers Squibb, Amgen, UCB Pharma, Regeneron, and Janssen, and grant support from Sanofi–Genzyme; D.Y.G.: is a consultant for RedHill Biopharma regarding novel H. pylori therapies and has received research support for culture of Helicobacter pylori and is the PI of an international study of the use of antimycobacterial therapy for Crohn’s disease. He is also a consultant for BioGaia in relation to probiotic therapy for H. pylori infection and for Takeda in relation to H. pylori therapies; R.F.: full-time employee of Pfizer and holds stock options with Pfizer; B.B.: full-time employee of Pfizer and holds stock options with Pfizer; D.I.: full-time employee of Pfizer and holds stock options with Pfizer; and M.L.: receiving fees for serving on advisory panels for the Food and Drug Administration from Abbott, Amgen, and Sarepta, and grant support to his institution from Eli Lilly, Roche, CSL Behring, Esperion Therapeutics, and AstraZeneca.

References

1

Kumar
 
B
,
Swee
 
ML.
 
Nonsteroidal anti-inflammatory drug use in a patient with hypertension: a teachable moment
.
JAMA Intern Med
 
2015
;
175
:
892
893
.

2

Forman
 
JP
,
Rimm
 
EB
,
Curhan
 
GC.
 
Frequency of analgesic use and risk of hypertension among men
.
Arch Intern Med
 
2007
;
167
:
394
399
.

3

MacDonald
 
TM
,
Hawkey
 
CJ
,
Ford
 
I
,
McMurray
 
JJ
,
Scheiman
 
JM
,
Hallas
 
J
,
Findlay
 
E
,
Grobbee
 
DE
,
Hobbs
 
FD
,
Ralston
 
SH
,
Reid
 
DM
,
Walters
 
MR
,
Webster
 
J
,
Ruschitzka
 
F
,
Ritchie
 
LD
,
Perez-Gutthann
 
S
,
Connolly
 
E
,
Greenlaw
 
N
,
Wilson
 
A
,
Wei
 
L
,
Mackenzie
 
IS.
 
Randomized trial of switching from prescribed non-selective non-steroidal anti-inflammatory drugs to prescribed celecoxib: the standard care vs. celecoxib outcome trial (SCOT)
.
Eur Heart J
 
2017
;
38
:
1843
1850
.

4

Lawrence
 
RC
,
Helmick
 
CG
,
Arnett
 
FC
,
Deyo
 
RA
,
Felson
 
DT
,
Giannini
 
EH
,
Heyse
 
SP
,
Hirsch
 
R
,
Hochberg
 
MC
,
Hunder
 
GG
,
Liang
 
MH
,
Pillemer
 
SR
,
Steen
 
VD
,
Wolfe
 
F.
 
Estimates of the prevalence of arthritis and selected musculoskeletal disorders in the United States
.
Arthritis Rheum
 
1998
;
41
:
778
799
.

5

Harley
 
C
,
Wagner
 
S.
 
The prevalence of cardiorenal risk factors in patients prescribed nonsteroidal anti-inflammatory drugs: data from managed care
.
Clin Ther
 
2003
;
25
:
139
149
.

6

Houston
 
MC.
 
Nonsteroidal anti-inflammatory drugs and antihypertensives
.
Am J Med
 
1991
;
90
:
42S
47S
.

7

Mancia
 
G
,
Fagard
 
R
,
Narkiewicz
 
K
,
Redon
 
J
,
Zanchetti
 
A
,
Bohm
 
M
,
Christiaens
 
T
,
Cifkova
 
R
,
De
 
BG
,
Dominiczak
 
A
,
Galderisi
 
M
,
Grobbee
 
DE
,
Jaarsma
 
T
,
Kirchhof
 
P
,
Kjeldsen
 
SE
,
Laurent
 
S
,
Manolis
 
AJ
,
Nilsson
 
PM
,
Ruilope
 
LM
,
Schmieder
 
RE
,
Sirnes
 
PA
,
Sleight
 
P
,
Viigimaa
 
M
,
Waeber
 
B
,
Zannad
 
F
,
Redon
 
J
,
Dominiczak
 
A
,
Narkiewicz
 
K
,
Nilsson
 
PM
,
Burnier
 
M
,
Viigimaa
 
M
,
Ambrosioni
 
E
,
Caufield
 
M
,
Coca
 
A
,
Olsen
 
MH
,
Schmieder
 
RE
,
Tsioufis
 
C
,
van de
 
BP
,
Zamorano
 
JL
,
Achenbach
 
S
,
Baumgartner
 
H
,
Bax
 
JJ
,
Bueno
 
H
,
Dean
 
V
,
Deaton
 
C
,
Erol
 
C
,
Fagard
 
R
,
Ferrari
 
R
,
Hasdai
 
D
,
Hoes
 
AW
,
Kirchhof
 
P
,
Knuuti
 
J
,
Kolh
 
P
,
Lancellotti
 
P
,
Linhart
 
A
,
Nihoyannopoulos
 
P
,
Piepoli
 
MF
,
Ponikowski
 
P
,
Sirnes
 
PA
,
Tamargo
 
JL
,
Tendera
 
M
,
Torbicki
 
A
,
Wijns
 
W
,
Windecker
 
S
,
Clement
 
DL
,
Coca
 
A
,
Gillebert
 
TC
,
Tendera
 
M
,
Rosei
 
EA
,
Ambrosioni
 
E
,
Anker
 
SD
,
Bauersachs
 
J
,
Hitij
 
JB
,
Caulfield
 
M
,
De
 
BM
,
De
 
GS
,
Derumeaux
 
GA
,
Erdine
 
S
,
Farsang
 
C
,
Funck
 
BC
,
Gerc
 
V
,
Germano
 
G
,
Gielen
 
S
,
Haller
 
H
,
Hoes
 
AW
,
Jordan
 
J
,
Kahan
 
T
,
Komajda
 
M
,
Lovic
 
D
,
Mahrholdt
 
H
,
Olsen
 
MH
,
Ostergren
 
J
,
Parati
 
G
,
Perk
 
J
,
Polonia
 
J
,
Popescu
 
BA
,
Reiner
 
Z
,
Ryden
 
L
,
Sirenko
 
Y
,
Stanton
 
A
,
Struijker
 
BH
,
Tsioufis
 
C
,
van de
 
BP
,
Vlachopoulos
 
C
,
Volpe
 
M
,
Wood
 
DA.
 
2013 ESH/ESC guidelines for the management of arterial hypertension: the Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC)
.
Eur Heart J
 
2013
;
34
:
2159
2219
.

8

Warner
 
TD
,
Mitchell
 
JA.
 
COX-2 selectivity alone does not define the cardiovascular risks associated with non-steroidal anti-inflammatory drugs
.
Lancet
 
2008
;
371
:
270
273
.

9

Johnson
 
AG
,
Nguyen
 
TV
,
Day
 
RO.
 
Do nonsteroidal anti-inflammatory drugs affect blood pressure? A meta-analysis
.
Ann Intern Med
 
1994
;
121
:
289
300
.

10

SHEP Cooperative Research Group
 
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)
.
JAMA
 
1991
;
265
:
3255
3264
.

11

Staessen
 
JA
,
Fagard
 
R
,
Thijs
 
L
,
Celis
 
H
,
Arabidze
 
GG
,
Birkenhager
 
WH
,
Bulpitt
 
CJ
,
de Leeuw
 
PW
,
Dollery
 
CT
,
Fletcher
 
AE
,
Forette
 
F
,
Leonetti
 
G
,
Nachev
 
C
,
O'brien
 
ET
,
Rosenfeld
 
J
,
Rodicio
 
JL
,
Tuomilehto
 
J
,
Zanchetti
 
A.
 
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
764
.

12

MacMahon
 
S
,
Peto
 
R
,
Cutler
 
J
,
Collins
 
R
,
Sorlie
 
P
,
Neaton
 
J
,
Abbott
 
R
,
Godwin
 
J
,
Dyer
 
A
,
Stamler
 
J.
 
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
774
.

13

Gurwitz
 
JH
,
Avorn
 
J
,
Bohn
 
RL
,
Glynn
 
RJ
,
Monane
 
M
,
Mogun
 
H.
 
Initiation of antihypertensive treatment during nonsteroidal anti-inflammatory drug therapy
.
JAMA
 
1994
;
272
:
781
786
.

14

Nissen
 
SE
,
Yeomans
 
ND
,
Solomon
 
DH
,
Luscher
 
TF
,
Libby
 
P
,
Husni
 
ME
,
Graham
 
DY
,
Borer
 
JS
,
Wisniewski
 
LM
,
Wolski
 
KE
,
Wang
 
Q
,
Menon
 
V
,
Ruschitzka
 
F
,
Gaffney
 
M
,
Beckerman
 
B
,
Berger
 
MF
,
Bao
 
W
,
Lincoff
 
AM
,
Investigators
 
PT.
 
Cardiovascular safety of celecoxib, naproxen, or ibuprofen for arthritis
.
N Engl J Med
 
2016
;
375
:
2519
2529
.

15

Becker
 
MC
,
Wang
 
TH
,
Wisniewski
 
L
,
Wolski
 
K
,
Libby
 
P
,
Luscher
 
TF
,
Borer
 
JS
,
Mascette
 
AM
,
Husni
 
ME
,
Solomon
 
DH
,
Graham
 
DY
,
Yeomans
 
ND
,
Krum
 
H
,
Ruschitzka
 
F
,
Lincoff
 
AM
,
Nissen
 
SE
,
Investigators
 
P.
 
Rationale, design, and governance of Prospective Randomized Evaluation of Celecoxib Integrated Safety versus Ibuprofen Or Naproxen (PRECISION), a cardiovascular end point trial of nonsteroidal antiinflammatory agents in patients with arthritis
.
Am Heart J
 
2009
;
157
:
606
612
.

16

Levey
 
AS
,
Stevens
 
LA
,
Schmid
 
CH
,
Zhang
 
YL
,
Castro
 
AF
 3rd
,
Feldman
 
HI
,
Kusek
 
JW
,
Eggers
 
P
,
Van Lente
 
F
,
Greene
 
T
,
Coresh
 
J
,
Ckd
 
EPI.
 
A new equation to estimate glomerular filtration rate
.
Ann Intern Med
 
2009
;
150
:
604
612
.

17

Collaborative overview of randomised trials of antiplatelet therapy—I: prevention of death, myocardial infarction, and stroke by prolonged antiplatelet therapy in various categories of patients. Antiplatelet Trialists' Collaboration
.
BMJ
 
1994
;
308
:
81
106
.

18

Fitzgerald
 
GA.
 
Coxibs and cardiovascular disease
.
N Engl J Med
 
2004
;
351
:
1709
1711
.

19

Grover
 
SA
,
Coupal
 
L
,
Zowall
 
H.
 
Treating osteoarthritis with cyclooxygenase-2-specific inhibitors: what are the benefits of avoiding blood pressure destabilization?
 
Hypertension
 
2005
;
45
:
92
97
.

20

Aw
 
TJ
,
Haas
 
SJ
,
Liew
 
D
,
Krum
 
H.
 
Meta-analysis of cyclooxygenase-2 inhibitors and their effects on blood pressure
.
Arch Intern Med
 
2005
;
165
:
490
496
.

21

Izhar
 
M
,
Alausa
 
T
,
Folker
 
A
,
Hung
 
E
,
Bakris
 
GL.
 
Effects of COX inhibition on blood pressure and kidney function in ACE inhibitor-treated blacks and hispanics
.
Hypertension
 
2004
;
43
:
573
577
.

22

MacDonald
 
TM
,
Reginster
 
JY
,
Littlejohn
 
TW
,
Richard
 
D
,
Lheritier
 
K
,
Krammer
 
G
,
Rebuli
 
R.
 
Effect on blood pressure of lumiracoxib versus ibuprofen in patients with osteoarthritis and controlled hypertension: a randomized trial
.
J Hypertens
 
2008
;
26
:
1695
1702
.

23

Morgan
 
TO
,
Anderson
 
A
,
Bertram
 
D.
 
Effect of indomethacin on blood pressure in elderly people with essential hypertension well controlled on amlodipine or enalapril
.
Am J Hypertens
 
2000
;
13
:
1161
1167
.

24

Polonia
 
J
,
Boaventura
 
I
,
Gama
 
G
,
Camoes
 
I
,
Bernardo
 
F
,
Andrade
 
P
,
Nunes
 
JP
,
Brandao
 
F
,
Cerqueira-Gomes
 
M.
 
Influence of non-steroidal anti-inflammatory drugs on renal function and 24h ambulatory blood pressure-reducing effects of enalapril and nifedipine gastrointestinal therapeutic system in hypertensive patients
.
J Hypertens
 
1995
;
13
:
925
931
.

25

Schwartz
 
JI
,
Thach
 
C
,
Lasseter
 
KC
,
Miller
 
J
,
Hreniuk
 
D
,
Hilliard
 
DA
,
Snyder
 
KM
,
Gertz
 
BJ
,
Gottesdiener
 
KM.
 
Effects of etoricoxib and comparator nonsteroidal anti-inflammatory drugs on urinary sodium excretion, blood pressure, and other renal function indicators in elderly subjects consuming a controlled sodium diet
.
J Clin Pharmacol
 
2007
;
47
:
1521
1531
.

26

Sowers
 
JR
,
White
 
WB
,
Pitt
 
B
,
Whelton
 
A
,
Simon
 
LS
,
Winer
 
N
,
Kivitz
 
A
,
van
 
IH
,
Brabant
 
T
,
Fort
 
JG
,
Celecoxib Rofecoxib
 
E
 
, Safety in Comorbidities Evaluation Trial I
.
The effects of cyclooxygenase-2 inhibitors and nonsteroidal anti-inflammatory therapy on 24-h blood pressure in patients with hypertension, osteoarthritis, and type 2 diabetes mellitus
.
Arch Intern Med
 
2005
;
165
:
161
168
.

27

White
 
WB
,
Kent
 
J
,
Taylor
 
A
,
Verburg
 
KM
,
Lefkowith
 
JB
,
Whelton
 
A.
 
Effects of celecoxib on ambulatory blood pressure in hypertensive patients on ACE inhibitors
.
Hypertension
 
2002
;
39
:
929
934
.

28

Farkouh
 
ME
,
Kirshner
 
H
,
Harrington
 
RA
,
Ruland
 
S
,
Verheugt
 
FW
,
Schnitzer
 
TJ
,
Burmester
 
GR
,
Mysler
 
E
,
Hochberg
 
MC
,
Doherty
 
M
,
Ehrsam
 
E
,
Gitton
 
X
,
Krammer
 
G
,
Mellein
 
B
,
Gimona
 
A
,
Matchaba
 
P
,
Hawkey
 
CJ
,
Chesebro
 
JH
,
Group
 
TS.
 
Comparison of lumiracoxib with naproxen and ibuprofen in the Therapeutic Arthritis Research and Gastrointestinal Event Trial (TARGET), cardiovascular outcomes: randomised controlled trial
.
Lancet
 
2004
;
364
:
675
684
.

29

Bresalier
 
RS
,
Sandler
 
RS
,
Quan
 
H
,
Bolognese
 
JA
,
Oxenius
 
B
,
Horgan
 
K
,
Lines
 
C
,
Riddell
 
R
,
Morton
 
D
,
Lanas
 
A
,
Konstam
 
MA
,
Baron
 
JA
;
Adenomatous Polyp Prevention on Vioxx (APPROVe) Trial Investigators
.
Cardiovascular events associated with rofecoxib in a colorectal adenoma chemoprevention trial
.
N Engl J Med
 
2005
;
352
:
1092
1102
.

30

Bombardier
 
C
,
Laine
 
L
,
Reicin
 
A
,
Shapiro
 
D
,
Burgos-Vargas
 
R
,
Davis
 
B
,
Day
 
R
,
Ferraz
 
MB
,
Hawkey
 
CJ
,
Hochberg
 
MC
,
Kvien
 
TK
,
Schnitzer
 
TJ
;
VIGOR Study Group
.
Comparison of upper gastrointestinal toxicity of rofecoxib and naproxen in patients with rheumatoid arthritis
.
N Engl J Med
 
2000
;
343
:
1520
1528
.

31

Silverstein
 
FE
,
Faich
 
G
,
Goldstein
 
JL
,
Simon
 
LS
,
Pincus
 
T
,
Whelton
 
A
,
Makuch
 
R
,
Eisen
 
G
,
Agrawal
 
NM
,
Stenson
 
WF
,
Burr
 
AM
,
Zhao
 
WW
,
Kent
 
JD
,
Lefkowith
 
JB
,
Verburg
 
KM
,
Geis
 
GS.
 
Gastrointestinal toxicity with celecoxib vs nonsteroidal anti-inflammatory drugs for osteoarthritis and rheumatoid arthritis: the CLASS study: a randomized controlled trial. Celecoxib Long-term Arthritis Safety Study
.
JAMA
 
2000
;
284
:
1247
1255
.

32

Solomon
 
SD
,
Pfeffer
 
MA
,
McMurray
 
JJ
,
Fowler
 
R
,
Finn
 
P
,
Levin
 
B
,
Eagle
 
C
,
Hawk
 
E
,
Lechuga
 
M
,
Zauber
 
AG
,
Bertagnolli
 
MM
,
Arber
 
N
,
Wittes
 
J.
 
Apc, Pre SAPTI
.
Effect of celecoxib on cardiovascular events and blood pressure in two trials for the prevention of colorectal adenomas
.
Circulation
 
2006
;
114
:
1028
1035
.

33

Arber
 
N
,
Eagle
 
CJ
,
Spicak
 
J
,
Racz
 
I
,
Dite
 
P
,
Hajer
 
J
,
Zavoral
 
M
,
Lechuga
 
MJ
,
Gerletti
 
P
,
Tang
 
J
,
Rosenstein
 
RB
,
Macdonald
 
K
,
Bhadra
 
P
,
Fowler
 
R
,
Wittes
 
J
,
Zauber
 
AG
,
Solomon
 
SD
,
Levin
 
B
;
PreSAP Trial Investigators
.
Celecoxib for the prevention of colorectal adenomatous polyps
.
N Engl J Med
 
2006
;
355
:
885
895
.

34

Walter
 
MF
,
Jacob
 
RF
,
Day
 
CA
,
Dahlborg
 
R
,
Weng
 
Y
,
Mason
 
RP.
 
Sulfone COX-2 inhibitors increase susceptibility of human LDL and plasma to oxidative modification: comparison to sulfonamide COX-2 inhibitors and NSAIDs
.
Atherosclerosis
 
2004
;
177
:
235
243
.

35

Widlansky
 
ME
,
Price
 
DT
,
Gokce
 
N
,
Eberhardt
 
RT
,
Duffy
 
SJ
,
Holbrook
 
M
,
Maxwell
 
C
,
Palmisano
 
J
,
Keaney
 
JF
 Jr
,
Morrow
 
JD
,
Vita
 
JA.
 
Short- and long-term COX-2 inhibition reverses endothelial dysfunction in patients with hypertension
.
Hypertension
 
2003
;
42
:
310
315
.

36

Chenevard
 
R
,
Hurlimann
 
D
,
Bechir
 
M
,
Enseleit
 
F
,
Spieker
 
L
,
Hermann
 
M
,
Riesen
 
W
,
Gay
 
S
,
Gay
 
RE
,
Neidhart
 
M
,
Michel
 
B
,
Luscher
 
TF
,
Noll
 
G
,
Ruschitzka
 
F.
 
Selective COX-2 inhibition improves endothelial function in coronary artery disease
.
Circulation
 
2003
;
107
:
405
409
.

37

Steffel
 
J
,
Hermann
 
M
,
Greutert
 
H
,
Gay
 
S
,
Luscher
 
TF
,
Ruschitzka
 
F
,
Tanner
 
FC.
 
Celecoxib decreases endothelial tissue factor expression through inhibition of c-Jun terminal NH2 kinase phosphorylation
.
Circulation
 
2005
;
111
:
1685
1689
.

38

FitzGerald
 
GA
,
Patrono
 
C.
 
The coxibs, selective inhibitors of cyclooxygenase-2
.
N Engl J Med
 
2001
;
345
:
433
442
.

39

White
 
WB
,
Campbell
 
P.
 
Blood pressure destabilization on nonsteroidal antiinflammatory agents: acetaminophen exposed?
 
Circulation
 
2010
;
122
:
1779
1781
.

40

Bippi
 
H
,
Frolich
 
JC.
 
Effects of acetylsalicylic acid and paracetamol alone and in combination on prostanoid synthesis in man
.
Br J Clin Pharmacol
 
1990
;
29
:
305
310
.

41

Sudano
 
I
,
Flammer
 
AJ
,
Periat
 
D
,
Enseleit
 
F
,
Hermann
 
M
,
Wolfrum
 
M
,
Hirt
 
A
,
Kaiser
 
P
,
Hurlimann
 
D
,
Neidhart
 
M
,
Gay
 
S
,
Holzmeister
 
J
,
Nussberger
 
J
,
Mocharla
 
P
,
Landmesser
 
U
,
Haile
 
SR
,
Corti
 
R
,
Vanhoutte
 
PM
,
Luscher
 
TF
,
Noll
 
G
,
Ruschitzka
 
F.
 
Acetaminophen increases blood pressure in patients with coronary artery disease
.
Circulation
 
2010
;
122
:
1789
1796
.

42

Bally
 
M
,
Dendukuri
 
N
,
Rich
 
B
,
Nadeau
 
L
,
Helin-Salmivaara
 
A
,
Garbe
 
E
,
Brophy
 
JM.
 
Risk of acute myocardial infarction with NSAIDs in real world use: bayesian meta-analysis of individual patient data
.
BMJ
 
2017
;
357
:
j1909.

43

Staessen
 
JA
,
Thijs
 
L
,
Fagard
 
R
,
O'brien
 
ET
,
Clement
 
D
,
de Leeuw
 
PW
,
Mancia
 
G
,
Nachev
 
C
,
Palatini
 
P
,
Parati
 
G
,
Tuomilehto
 
J
,
Webster
 
J.
 
Predicting cardiovascular risk using conventional vs ambulatory blood pressure in older patients with systolic hypertension. Systolic Hypertension in Europe Trial Investigators
.
JAMA
 
1999
;
282
:
539
546
.

44

O'Brien
 
E
,
Parati
 
G
,
Stergiou
 
G
,
Asmar
 
R
,
Beilin
 
L
,
Bilo
 
G
,
Clement
 
D
,
de la Sierra
 
A
,
de Leeuw
 
P
,
Dolan
 
E
,
Fagard
 
R
,
Graves
 
J
,
Head
 
GA
,
Imai
 
Y
,
Kario
 
K
,
Lurbe
 
E
,
Mallion
 
JM
,
Mancia
 
G
,
Mengden
 
T
,
Myers
 
M
,
Ogedegbe
 
G
,
Ohkubo
 
T
,
Omboni
 
S
,
Palatini
 
P
,
Redon
 
J
,
Ruilope
 
LM
,
Shennan
 
A
,
Staessen
 
JA
,
vanMontfrans
 
G
,
Verdecchia
 
P
,
Waeber
 
B
,
Wang
 
J
,
Zanchetti
 
A
,
Zhang
 
Y.
 
European Society of Hypertension Working Group on Blood Pressure M. European Society of Hypertension position paper on ambulatory blood pressure monitoring
.
J Hypertens
 
2013
;
31
:
1731
1768
.

Author notes

*

on behalf of the PRECISION-ABPM Investigators

The first two authors contributed equally to the study.

Dedicated to the memory of Henry Krum.

*

Committees, study centres, and investigators participating in the PRECISION-ABPM Trial are listed in the Supplementary material online, Appendix.

*

See page 3293 for the editorial comment on this article (doi: 10.1093/eurheartj/ehx533)

This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model)

Supplementary data