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Research Article
Originally Published 17 February 2015
Free Access

Time-Dependent Effects of Aspirin on Blood Pressure and Morning Platelet Reactivity: A Randomized Cross-Over Trial

Abstract

Aspirin is used for cardiovascular disease (CVD) prevention by millions of patients on a daily basis. Previous studies suggested that aspirin intake at bedtime reduces blood pressure compared with intake on awakening. This has never been studied in patients with CVD. Moreover, platelet reactivity and CVD incidence is highest during morning hours. Bedtime aspirin intake may attenuate morning platelet reactivity. This clinical trial examined the effect of bedtime aspirin intake compared with intake on awakening on 24-hour ambulatory blood pressure measurement and morning platelet reactivity in patients using aspirin for CVD prevention. In this randomized open-label crossover trial, 290 patients were randomized to take 100 mg aspirin on awakening or at bedtime during 2 periods of 3 months. At the end of each period, 24-hour blood pressure and morning platelet reactivity were measured. The primary analysis population comprised 263 (blood pressure) and 133 (platelet reactivity) patients. Aspirin intake at bedtime did not reduce blood pressure compared with intake on awakening (difference systolic/diastolic: −0.1 [95% confidence interval, −1.0, 0.9]/−0.6 [95% confidence interval, −1.2, 0.0] mm Hg). Platelet reactivity during morning hours was reduced with bedtime aspirin intake (difference: −22 aspirin reaction units [95% confidence interval, −35, −9]). The intake of low-dose aspirin at bedtime compared with intake on awakening did not reduce blood pressure of patients with CVD. However, bedtime aspirin reduced morning platelet reactivity. Future studies are needed to assess the effect of this promising simple intervention on the excess of cardiovascular events during the high risk morning hours.

Introduction

Cardiovascular disease (CVD) is still a leading cause of mortality and morbidity worldwide.1,2 One of the most important modifiable risk factors for CVD is blood pressure. Even small reductions of blood pressure significantly decrease the risk of myocardial infarction and stroke.3 However, almost half of the patients with hypertension remain uncontrolled, despite blood pressure lowering medication.4 Thus, simple interventions to improve blood pressure control are needed. Aspirin traditionally was assumed to have no effect on blood pressure,5 but in recent studies, aspirin intake at bedtime compared with intake on awakening considerably reduced blood pressure.611 Additionally, we previously found that aspirin intake at bedtime compared with on awakening reduced plasma renin activity and cortisol, dopamine and norepinephrine excretions over 24 hours.12 However, all previous studies included healthy subjects, pregnant women, or patients with mild hypertension.611,13 If the effect of bedtime aspirin intake on blood pressure also holds for patients who already use aspirin for CVD prevention, simply changing the time of intake from awakening to bedtime could substantially reduce their risk for recurrent cardiovascular events.
Furthermore, platelet aggregation peaks during morning hours, which is thought to contribute to the observed peak of CVD from 6 to 12 AM.14,15 Because of its short half-life, aspirin only inhibits the platelets that are present at the time of intake, whereas new platelets are released at a rate of 10% per day in healthy subjects.16,17 Thus, just before each aspirin intake, these newly released platelets are uninhibited and can induce platelet aggregation.18,19 However, it is desirable to achieve optimal platelet aggregation inhibition particularly during those high risk morning hours. As already suggested by previous authors, intake of aspirin at bedtime might attenuate the morning peak of platelet reactivity, but this was never evaluated in a clinical trial.20,21
To assess whether aspirin intake at bedtime compared with intake on awakening reduces blood pressure and morning platelet reactivity, we conducted a randomized crossover trial in patients using low-dose aspirin for prevention of CVD.

Methods

Design Overview

An overview of the study design is depicted in Figure 1. A prospective, randomized, open-label, blinded end point (PROBE), 2-period crossover study was conducted at a single center in the Netherlands and registered at www.clinicaltrials.gov/ct2/show/NCT01379079. Benefits of the PROBE design and its validity for studies measuring ambulatory blood pressure have been previously documented.22 The study was conducted in accordance with the Declaration of Helsinki, approved by the Leiden University Medical Center (LUMC) Ethics Committee, and all subjects gave written informed consent.
Figure 1. Study design. Visit 1, Screening for inclusive and exclusion criteria. Visit 2 and 3, Ambulatory blood pressure measurement (ABPM) measurement, blood draw during morning hours, questionnaire.

Setting and Participants

Patients between 18 and 75 years of age using low-dose (80–100 mg) aspirin for secondary prevention of CVD were recruited from general practitioner practices around Leiden, the Netherlands. Exclusion criteria were baseline blood pressure (BP) <120/70 or >160/100 mm Hg, use of other antiplatelet or anticoagulant drugs, change of antihypertensive medication in the 3 months before baseline, use of nonsteroidal anti-inflammatory drugs, employment as shift worker, evidence of secondary arterial hypertension (eg, pheochromocytoma), and pregnancy.

Randomization and Interventions

Randomization was performed with a computer-generated randomization code by an independent person at the Department of Clinical Epidemiology of the LUMC and was inaccessible to the investigators. Eligible subjects were randomized (1:1 ratio) to take aspirin on awakening followed by aspirin at bedtime or the opposite order during 2 intervention periods of 3 months (Figure 1). The 2 intervention periods were not separated by a wash-out period because withholding aspirin to the included patients was considered unethical. The duration of each intervention period was analogous to previous studies.911 All subjects received 100 mg effervescent aspirin (Carbasalate Calcium, Vemeda Manufacturing, the Netherlands). At the end of each intervention period, subjects visited the research site for 2 consecutive days. At day 1, 24-hour ambulatory blood pressure measurement (ABPM) was started between 8 to 12 AM, and subjects took aspirin at the same time as in the preceding 3 months. At day 2, subjects refrained from taking aspirin in the morning, ABPM was ended, and blood was drawn. The time of ABPM start at day 1 and blood draw at day 2 was similar for each participant at each visit.

Outcomes

Blood Pressure

Baseline BP was measured by an automatic device (Mobil-O-Graph NG device; IEM GmbH, Germany) every 2 minutes in seated position after 10 minutes of rest. The average of 6 readings was used to determine baseline blood pressure. As the primary end point, ABPM was performed during participants normal daily routine with a validated and calibrated Mobil-O-Graph NG device (IEM GmbH, Germany). Measurements started between 8 and 12 AM, and the same device was used at each visit. The BP cuff was adjusted to arm circumference and worn on the nondominant arm. Systolic and diastolic BP were automatically measured every 20 minutes during day and every 30 minutes during night for 24 consecutive hours, with the screen turned off to blind subjects for BP readings. Bed and awakening times were recorded in a diary. ABPM was considered valid if ≥70% of measurements were valid, sleep time during ABPM was between 6 and 12 hours, and data were not missing for >2 hours.

Platelet Reactivity

As a secondary end point, platelet reactivity was measured during morning hours (between 8 and 12 AM). At the morning of blood sampling, subjects refrained from taking aspirin. Blood was sampled without stasis from the antecubital vein, and platelet reactivity was measured with the VerifyNow® Aspirin Assay (Accumetrics, San Diego, USA) and reported in Aspirin Reaction Units (ARU).23

Questionnaires, Compliance, and Patient Preference

Subjects completed a questionnaire to assess eligibility criteria, medical history, medication use, and chronobiological rhythm at baseline. Missing information was completed with general practitioner or pharmacy records. At each follow-up visit, side effects and change of medication was registered by questionnaires. Subjects were instructed to take aspirin within 1 hour after awakening or 1 hour before bedtime. Compliance was assessed and optimized with electronic pill boxes (Evalan, Amsterdam, the Netherlands), which registered time of intake and sent an SMS text message if subjects were noncompliant. Additionally, pill count was performed at each visit. Participants and general physicians were instructed not to change or start new medication during the study, which was checked with questionnaires at each follow-up visit.

Statistical Analysis

To detect an interindividual difference of 3 mm Hg in blood pressure with 80% power at a 5% significance level, we calculated a required sample size of 250 patients. We assumed an intraindividual standard deviation of 12.9 mm Hg, as derived from a previous study.12 Estimating a drop-out of 10% and invalid ABPM of 5%, we randomized 290 subjects. As planned on beforehand, platelet reactivity was measured in the first consecutive 160 patients, yielding a power of 90% to detect a difference of 17 ARU at a 5% significance level. For this calculation, we used an intraindividual standard deviation of 46.85 ARU.24 Continuous characteristics are described as mean±standard deviation (SD) if normally distributed or as median (interquartile range [IQR]) if not normally distributed. Categorical variables are expressed as numbers (percentages). ABPM values were edited according to conventional criteria to remove measurement errors and outliers. Because sampling frequency was denser during the day (3×/hour) than during the night (2×/hour), we calculated a weighted overall mean BP, as suggested previously25:
Mean day and night BP was calculated as
The start of day- and nighttimes was obtained from diaries. The primary end point was assessed in a primary and secondary analysis population. The primary analysis population included all subjects who were randomized and completed measurements of end points. The secondary analysis population excluded subjects with ≥1 invalid ABPM, change of antihypertensive medication, or compliance <90%. Paired t-tests were performed to analyze day, night, and overall mean BP after intake of aspirin on awakening and at bedtime. Additionally, linear mixed models were used to assess treatment effects and period or carry-over effects. Subgroup analyses were prespecified for users of β-blockers, inhibitors of the renin–angiotensin system (users versus nonusers), users of no- versus ≥1 blood pressure lowering drugs, and subjects with baseline systolic BP of >140 versus ≤140 mm Hg.
The secondary end point platelet reactivity was analyzed with a paired t-test and linear mixed models. Subjects who forgot to take aspirin on the day before platelet reactivity measurements (n=3) were excluded from analysis. Subgroup analyses were prespecified for diabetic subjects, current smokers (yes versus no), and mean platelet volume values (divided into quartiles). Although not prespecified, an additional subgroup analysis for body mass index was performed because obesity, as a marker for metabolic syndrome, may be associated with platelet reactivity.26 Side effects and patient preferences were analyzed descriptively and using McNemar’s test. All analyses were performed in SPSS 20.0 (IBM corp., USA) and were 2-sided, with a level of significance of 0.05.

Results

Study Population and Compliance

Between June 2011 and March 2013, 3479 subjects were screened at 30 general practitioner practices, of whom 1704 did not meet inclusion criteria, primarily because of age >75 years (n=1080) and use of other platelet inhibiting drugs (n=386; Figure 2). A total of 290 subjects were randomized, and baseline characteristics were similar between groups (Table 1). Study follow-up was discontinued by 26 subjects, primarily because study participation was too aggravating (18/26; 70%). Primary and secondary analysis populations comprised 263 and 150 subjects, respectively, for assessment of the primary end point. Measurements for the secondary end point platelet reactivity were complete for 136 subjects. Compliance as measured by electronic pill boxes and pill count was high and similar with aspirin intake on awakening (99% [97%–100%] and 100% [100%–100%], respectively) and intake at bedtime (98% [94%–100%] and 100% [100%–100%]).
Table 1. Baseline Clinical Characteristics of Randomized Study Participants (n=290)*
VariableAwakening—Bedtime Group (n=145)Bedtime—Awakening Group (n=145)
Sex (M/F)106/39106/39
Age, y64±764±7
Current smokers21 (15)28 (19)
Body mass index, kg/m228.4±4.728·1±4.6
Systolic blood pressure, mm Hg137±10137±10
Diastolic blood pressure, mm Hg88±888±8
Diabetics17 (12)14 (10)
Cardiovascular history  
 Myocardial infarction53 (37)59 (41)
 Stable angina pectoris59 (41)61 (42)
 Stroke/transient ischemic attack28 (19)23 (16)
 Atrial fibrillation14 (10)13 (9)
 Peripheral artery disease12 (8)9 (6)
 Other3 (2)1 (1)
Aspirin use at baseline  
 On awakening106 (73)100 (69)
 Duration, y6 (3–11)6 (4–14)
Medication use  
 Number of blood pressure lowering drugs2 (1–2.5)2 (1–3)
 β-Blockers74 (51)80 (55)
 Ace-inhibitors60 (41)55 (38)
 Angiotensin II inhibitors37 (26)33 (23)
 Calcium antagonists29 (20)27 (19)
 Diuretics37 (26)46 (32)
 Lipid lowering drugs116 (80)123 (85)
*
Continuous values are presented as means±standard deviation (SD) or medians+interquartile range if not normally distributed. Categorical values are presented as number (%).
Other cardiovascular disease: heart valve disease (n=3), myelodysplastic syndrome (n=1).
Blood pressure lowering drugs: β-blockers, α-blockers, ace-inhibitors, angiotensin-II inhibitors, calcium antagonists, thiazide and loop diuretics, nitrates (daily use).
Figure 2. Patient flow. ABPM indicates ambulatory blood pressure measurement. *Other reasons: stopped aspirin use before inclusion, not able to participate in clinical trial as judged by general practitioner, changed address, not speaking Dutch language. †One subject refused ABPM at the last follow-up visit.

Blood Pressure

The circadian 24-hour ABPM profile after 3 months aspirin intake on awakening and 3 months intake at bedtime is depicted in Figure 3. The mean (SD) 24-hour systolic and diastolic blood pressures were 127 (12) and 79 (9) mm Hg with aspirin intake on awakening, whereas these were 127 (12) and 78 (8) with aspirin at bedtime. This resulted in differences of −0.1 mm Hg (95% confidence interval, −1.0 to 0.9) and −0.6 mm Hg (95% confidence interval, −1.2 to 0.0). Furthermore, systolic and diastolic blood pressures during day- and nighttime did not differ by the timing of aspirin intake (Table 2). Mixed model analysis showed the same results and no evidence for carry-over or period effects (data not shown). Additionally, findings among subgroups of subjects using or not using β-blockers, angiotensin inhibitors, blood pressure lowering drugs in general, or subjects with baseline office BP >140 or ≤140 mm Hg were similar to the overall results (Table S1 in the online-only Data Supplement). Finally, in the secondary analysis, comprising only patients with valid ABPM at both visits who did not change their antihypertensive medication between visit 2 and 3 and were ≥90% compliant as registered with electronic pill boxes, aspirin intake at bedtime was not associated with a reduction of mean 24-hour blood pressure or day- and nighttime blood pressure (Table S2).
Table 2. Mean 24-Hour, Day and Night Ambulatory Blood Pressure Values (mm Hg) According to Time of Aspirin Administration in the Primary Analysis Population (n=263)
ValueAspirin on AwakeningAspirin at BedtimeMean Difference (Bedtime–Awakening)(95% CI)*
24-hour SBP127±12127±12−0.1 [−1.0 to 0.9]
24-hour DBP79±978±8−0.6 [−1.2 to 0.0]
Day SBP131±12131±120.0 [−1.0 to 1.0]
Day DBP82±981±9−0.6 [−1.2 to 0.1]
Night SBP117±15117±14−0.1 [−1.4 to 1.1]
Night DBP69±1069±9−0.4 [−1.2 to 0.3]
*
Mean difference and 95% CI obtained with paired t-tests. Values are mean±standard deviation.
CI indicates confidence interval; DBP, diastolic blood pressure; and SBP, systolic blood pressure.
Figure 3. Effect of low-dose aspirin intake at bedtime compared with intake on awakening on 24-hour ambulatory blood pressure profile in the primary analysis population (n=263). A, Systolic blood pressure. B, Diastolic blood pressure. Each graph shows hourly means and standard errors of blood pressure measured at low-dose aspirin intake on awakening (continuous black line) and low-dose aspirin intake at bedtime (dashed gray line). Hours on the x-axis refer to hours after awakening from nocturnal sleep. The shaded area represents the average nocturnal period for all subjects.

Platelet Reactivity

Three subjects forgot to take aspirin on the day before platelet reactivity measurements and were excluded from this analysis. In the remaining 133 subjects, aspirin intake at bedtime reduced morning platelet reactivity (mean difference −22 ARU [95% confidence interval −35 to −9]; P=0.001; Figure 4). Subgroup analysis showed that, besides in subjects with diabetes mellitus, aspirin intake at bedtime reduced platelet reactivity in all subgroups (Table S3).
Figure 4. Effect of low-dose aspirin intake at bedtime versus on awakening on morning platelet reactivity. Black bar represents VerifyNow platelet reactivity values after aspirin intake on awakening. Gray dashed bar represents values after aspirin intake at bedtime.

Side Effects and Patient Preference

Three subjects did not complete the study because of side effects (Table S4). The frequency of well-known aspirin side effects (dyspepsia, nausea, heartburn) was similar between aspirin intake on awakening and at bedtime (Table S5).
After completion of the study, 53/264 (20%) preferred to switch to another time of aspirin intake than before study entry. A total of 32/264 (12%) switched from intake on awakening to intake at bedtime and 21/264 (8%) from at bedtime to on awakening. So, no clear patient preference was present for time of intake.

Discussion

In this large crossover trial among patients using low-dose aspirin for CVD prevention, 24-hour blood pressure did not differ between aspirin intake at bedtime and intake on awakening. However, aspirin intake at bedtime was associated with lower morning platelet reactivity.

Comparison With Previous Studies

Multiple previous studies, mostly from a single source in this field, reported a blood pressure lowering effect of bedtime aspirin intake.611,13,27 Subsequently, our group found a biological plausible mechanism underlying this phenomenon: compared with intake on awakening, bedtime aspirin intake reduced plasma renin activity and cortisol, dopamine, and norepinephrine excretions over 24 hours.12 So, the finding that aspirin intake at bedtime compared with intake on awakening does not reduce blood pressure is in contrast with these previous studies. This may be explained by differences in study populations. First, previous studies included subjects who did not use blood pressure lowering drugs, such as β-blockers or inhibitors of the renin–angiotensin–aldosterone system. This is an important difference because the mechanism behind the time-dependent effect of aspirin on blood pressure was previously related to a reduction renin–angiotensin–aldosterone system and catecholamine activity over 24 hours.12 However, we did not find an effect in both users and nonusers of β-blockers or renin–angiotensin–aldosterone system inhibitors. Even in the subgroup that did not use any blood pressure lowering drugs, there was no effect. Our findings corroborate those of an earlier study, which also did not find a blood pressure lowering effect of bedtime aspirin intake among treated hypertensive patients.28 Second, patients in all previous studies did not use aspirin before study entry. In contrast, all patients in our study had a medical indication for aspirin use and had used aspirin for median 6 years. It is possible that the time-dependent effect of aspirin on blood pressure weakens over time because of increased arterial stiffening.29 However, a potential blood pressure lowering effect of bedtime aspirin intake would only be clinically relevant in patients already using aspirin for CVD prevention, and we are the first in this field to include this clinically relevant patient group. Given the absence of a blood pressure lowering effect of bedtime aspirin in any subgroup of our study, in our opinion, no further studies are needed to assess the blood pressure lowering effect of bedtime aspirin in patients using aspirin for CVD prevention.
The circadian rhythm of platelet reactivity and its relation with the morning peak of cardiovascular events has been thoroughly studied.15,30 Previous authors suggested that platelet inhibition during these high risk morning hours could be optimized by aspirin intake at bedtime.20,21 Subsequent studies clearly showed that the antiplatelet effect of aspirin declines during the 24-hour dosing interval.18,19,31 In our study, we compared platelet function 12 hours after aspirin intake (bedtime intake) with 24 hours after intake (morning intake). So, a decline in platelet activity during morning hours could have been expected. Nevertheless, to the best of our knowledge, this has never been evaluated in a clinical trial. Additionally, reducing platelet reactivity during the high risk morning hours could be clinically relevant for patients with CVD.
Previously, we studied the time-dependent effect of aspirin on morning platelet reactivity in healthy subjects.32 The results of this study confirm these findings for patients using aspirin on a daily basis. Our study suggests that morning platelet reactivity can be reduced by taking aspirin at bedtime instead of on awakening. This effect was homogeneously present in all subgroups, except in diabetic subjects. However, the size of this subgroup was too small (n=18) to rule out any effect in diabetic patients. Additionally, diabetic patients have higher platelet turnover, and twice daily dosing of aspirin yields more effective platelet inhibition over the whole day in diabetic patients.33,34 The reduction of platelet reactivity during the vulnerable morning hours might be beneficial for patients with CVD, who have higher platelet turnover, and of which in 25%, platelet reactivity is inadequately inhibited 24 hours after aspirin intake.31,35

Clinical Interpretation

It has been shown that the risk for recurrent cardiovascular events is increased in patients with higher VerifyNow-aspirin platelet reactivity values.36,37 Stable CVD patients with platelet reactivity >550 ARU had an absolute risk of 15.6% for developing the composite cardiovascular end point, whereas this was only 5.3% in patients with ARU values <550.37 In another study, the absolute risk for the primary end point (all-cause death and recurrent cardiovascular events) was 13.3% in patients >454 ARU and 5.9% in patients <454 ARU.36 These observational studies suggest that a reduction in platelet reactivity could result in clinical benefit for patients with CVD. Because the CVD morning peak is a multifactorial process, we do not expect that bedtime aspirin would abolish the CVD morning peak completely.38 Still, given the high prevalence of CVD, already a modest reduction of the morning peak would lead to a large absolute benefit. For example, 280.000 recurrent cardiovascular events occur in the United States (US) every year, with a known excess of 40% during the morning hours.39 If aspirin intake at bedtime would reduce this morning peak by 20%, it would lead to an absolute reduction of 4853 recurrent events each year in the United States alone. So, switching to bedtime aspirin intake is a simple and possible effective intervention. Future studies should evaluate whether this indeed translates in a reduction of cardiovascular events.

Strengths and Limitations

The major strength of our study is its crossover design, which yields high statistical power and enables comparison of treatment effects within each patient. Furthermore, this is the first study in this field which registered the actual time of aspirin intake with electronic pill boxes, which is of major importance to study time-dependent effects.
The main limitation of our study is that only 150/263 (57%) patients complied perfectly with the study protocol. This was mainly because of invalid ABPM (n=57) or compliance of <90% within the prespecified time of intake (n=42). However, sensitivity analysis among patients with complete follow-up and compliance revealed the same results with narrow confidence intervals (Table S2). Regarding platelet reactivity measurements, it is a limitation that we measured platelet reactivity at only 1 time point during the morning, although comparability within subjects was optimized by drawing blood at the same time at each visit. A large proportion of the potentially eligible patients did not respond or did not want to participate in this study. However, the included patients resembled a general CVD population with regard to age, sex, medical history, and medication use.

Perspectives

In this study, bedtime aspirin did not reduce blood pressure in patients with stable CVD using low-dose aspirin on a daily basis. So, we would not recommend switching to bedtime intake of aspirin to reduce blood pressure in those patients. Yet, bedtime aspirin intake did reduce platelet reactivity during morning hours. Future studies are needed to assess the effect of this simple intervention on the excess of cardiovascular events during morning hours.

Acknowledgments

We thank all laboratory technicians of the Leiden University Medical Center (LUMC) Einthoven Laboratory for Experimental Vascular Medicine for processing the biomaterial and all data managers of the department of Clinical Epidemiology of the LUMC for their help with the randomization of study subjects. We acknowledge Prof T. Stijnen of the Department of Medical Statistics of the LUMC for his statistical advice. We thank Margot de Waal and Henk de Jong of the Department of Public Health and Primary care of the LUMC for their help to include study participants. We express our gratitude to the general practitioners and all patients who participated in this study. All authors take responsibility for all aspects of the reliability and freedom from bias of the data presented and their discussed interpretation

Novelty and Significance

What Is New?

The blood pressure lowering effect of aspirin intake at bedtime has never been studied in patients using aspirin for cardiovascular disease prevention
Whether aspirin intake at bedtime compared with intake on awakening reduces morning platelet reactivity has never been studied.

What Is Relevant?

Taking aspirin at bedtime compared with on awakening did not reduce blood pressure, which is in contrast with previous studies in healthy subjects
Platelet reactivity during morning hours was reduced by taking aspirin at bedtime, which could possibly be beneficial for patients taking aspirin on a daily basis.

Summary

In contrast to previous studies in other patient groups, bedtime intake of aspirin did not reduce blood pressure of patients taking aspirin for prevention of cardiovascular disease. However, bedtime intake of aspirin reduced platelet reactivity during the high risk morning hours.

Supplemental Material

File (bonten_743.pdf)
File (hyp_hype201404980.pdf)
File (hyp_hype201404980_supp1.pdf)

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Go to Hypertension
Go to Hypertension
Hypertension
Pages: 743 - 750
PubMed: 25691622

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History

Received: 25 November 2014
Revision received: 11 December 2014
Accepted: 25 January 2015
Published online: 17 February 2015
Published in print: April 2015

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Keywords

  1. aspirin
  2. blood pressure
  3. chronotherapy
  4. platelet activation

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Affiliations

Tobias N. Bonten
From the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands (T.N.B., J.D.S., F.R.R., J.G.v.d.B.); Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands (W.J.J.A.); Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands (W.J.J.A.); JJ van Rood Center for Clinical Transfusion Research, Sanquin Research, Leiden, the Netherlands (J.J.Z., J.G.v.d.B.); and Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands (J.E., M.V.H.).
Jaapjan D. Snoep
From the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands (T.N.B., J.D.S., F.R.R., J.G.v.d.B.); Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands (W.J.J.A.); Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands (W.J.J.A.); JJ van Rood Center for Clinical Transfusion Research, Sanquin Research, Leiden, the Netherlands (J.J.Z., J.G.v.d.B.); and Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands (J.E., M.V.H.).
Willem J.J. Assendelft
From the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands (T.N.B., J.D.S., F.R.R., J.G.v.d.B.); Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands (W.J.J.A.); Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands (W.J.J.A.); JJ van Rood Center for Clinical Transfusion Research, Sanquin Research, Leiden, the Netherlands (J.J.Z., J.G.v.d.B.); and Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands (J.E., M.V.H.).
Jaap Jan Zwaginga
From the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands (T.N.B., J.D.S., F.R.R., J.G.v.d.B.); Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands (W.J.J.A.); Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands (W.J.J.A.); JJ van Rood Center for Clinical Transfusion Research, Sanquin Research, Leiden, the Netherlands (J.J.Z., J.G.v.d.B.); and Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands (J.E., M.V.H.).
Jeroen Eikenboom
From the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands (T.N.B., J.D.S., F.R.R., J.G.v.d.B.); Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands (W.J.J.A.); Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands (W.J.J.A.); JJ van Rood Center for Clinical Transfusion Research, Sanquin Research, Leiden, the Netherlands (J.J.Z., J.G.v.d.B.); and Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands (J.E., M.V.H.).
Menno V. Huisman
From the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands (T.N.B., J.D.S., F.R.R., J.G.v.d.B.); Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands (W.J.J.A.); Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands (W.J.J.A.); JJ van Rood Center for Clinical Transfusion Research, Sanquin Research, Leiden, the Netherlands (J.J.Z., J.G.v.d.B.); and Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands (J.E., M.V.H.).
Frits R. Rosendaal
From the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands (T.N.B., J.D.S., F.R.R., J.G.v.d.B.); Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands (W.J.J.A.); Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands (W.J.J.A.); JJ van Rood Center for Clinical Transfusion Research, Sanquin Research, Leiden, the Netherlands (J.J.Z., J.G.v.d.B.); and Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands (J.E., M.V.H.).
Johanna G. van der Bom
From the Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands (T.N.B., J.D.S., F.R.R., J.G.v.d.B.); Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands (W.J.J.A.); Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands (W.J.J.A.); JJ van Rood Center for Clinical Transfusion Research, Sanquin Research, Leiden, the Netherlands (J.J.Z., J.G.v.d.B.); and Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands (J.E., M.V.H.).

Notes

The online-only Data Supplement is available with this article at http://hyper.ahajournals.org/lookup/suppl/doi:10.1161/HYPERTENSIONAHA.114.04980/-/DC1
Correspondence to T.N. Bonten, Leiden University Medical Center, Department of Clinical Epidemiology, C7-P, PO Box 9600, 2300 RC Leiden, the Netherlands. E-mail [email protected]

Disclosures

None.

Sources of Funding

This work was supported by the Netherlands Heart Foundation (grant number 2010B171).

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  1. Circadian rhythms in cardiovascular (dys)function: approaches for future therapeutics, npj Cardiovascular Health, 1, 1, (2024).https://doi.org/10.1038/s44325-024-00024-8
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  2. Effects of low-dose acetylsalicylic acid on the inflammatory response to experimental sleep restriction in healthy humans, Brain, Behavior, and Immunity, 121, (142-154), (2024).https://doi.org/10.1016/j.bbi.2024.07.023
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  3. Bedeutung des circadianen Rhythmus für organisch bedingte Erkrankungen, Praxishandbuch Chronomedizin, (71-94), (2024).https://doi.org/10.1016/B978-3-437-21054-9.00006-9
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  4. The Role of the Circadian Rhythm in Dyslipidaemia and Vascular Inflammation Leading to Atherosclerosis, International Journal of Molecular Sciences, 24, 18, (14145), (2023).https://doi.org/10.3390/ijms241814145
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  5. Circadian Modulation of the Antioxidant Effect of Grape Consumption: A Randomized Controlled Trial, International Journal of Environmental Research and Public Health, 20, 15, (6502), (2023).https://doi.org/10.3390/ijerph20156502
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  6. Understanding the dosing-time-dependent antihypertensive effect of valsartan and aspirin through mathematical modeling, Frontiers in Endocrinology, 14, (2023).https://doi.org/10.3389/fendo.2023.1110459
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  7. Insight on Cardiac Chronobiology and Latest Developments of Chronotherapeutic Antihypertensive Interventions for Better Clinical Outcomes, Current Hypertension Reviews, 19, 2, (106-122), (2023).https://doi.org/10.2174/1573402119666230109142156
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  8. Consensus Recommendations for Standardized Data Elements, Scales, and Time Segmentations in Studies of Human Circadian/Diurnal Biology and Stroke, Stroke, 54, 7, (1943-1949), (2023)./doi/10.1161/STROKEAHA.122.041394
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  9. Understanding the role of chronopharmacology for drug optimization: what do we know?, Expert Review of Clinical Pharmacology, 16, 7, (655-668), (2023).https://doi.org/10.1080/17512433.2023.2233438
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  10. Circadian Factors in Stroke: A Clinician’s Perspective, Cardiology and Therapy, 12, 2, (275-295), (2023).https://doi.org/10.1007/s40119-023-00313-w
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Time-Dependent Effects of Aspirin on Blood Pressure and Morning Platelet Reactivity
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