Literature DB >> 27912210

Relative Contributions of Arterial Stiffness and Hypertension to Cardiovascular Disease: The Framingham Heart Study.

Teemu J Niiranen1, Bindu Kalesan2,3, Naomi M Hamburg4,5,6, Emelia J Benjamin7,4,3,5,8, Gary F Mitchell9, Ramachandran S Vasan7,2,4,3,5,8.   

Abstract

BACKGROUND: The presence and implications of abnormal arterial stiffness, a potential independent predictor of outcomes, in community-dwelling treated hypertensives is unknown. Furthermore, limited data exist regarding the risk of cardiovascular disease (CVD) associated with arterial stiffness across the entire range of blood pressure. METHODS AND
RESULTS: We measured carotid-femoral pulse wave velocity (PWV) and classical CVD risk factors in 2127 community-dwelling participants (mean age 60 years, 57% women) of The Framingham Offspring Cohort. The participants were divided into 4 groups according to hypertension (yes/no, defined as blood pressure ≥140/90 mm Hg or use of antihypertensive treatment) and PWV status (high/low based on age- and sex-specific median values) and followed up for CVD events (CVD death, myocardial infarction, unstable angina, heart failure, and stroke). Sixty percent (233 of 390) of controlled and 90% (232 of 258) of uncontrolled treated hypertensives had high PWV. The multivariable-adjusted risk for CVD events (n=248, median follow-up 12.6 years) rose from normotension with low PWV (reference) to normotension with high PWV (hazard ratio 1.29, 95% CI 0.83-2.00) and from hypertension with low PWV (hazard ratio 1.54, 95% CI 1.01-2.36) to hypertension with high PWV (hazard ratio 2.25, 95% CI 1.54-3.29).
CONCLUSIONS: A substantial proportion of treated hypertensives have high arterial stiffness, a finding that may explain some of the notable residual CVD risk associated with even well-controlled hypertension. High PWV is associated with a trend towards increasing CVD risk in both nonhypertensives and hypertensives, a finding that may support the use of arterial stiffness measurements in both populations.
© 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

Entities:  

Keywords:  antihypertensive agent; arterial stiffness; cardiovascular disease; epidemiology; hypertension

Mesh:

Substances:

Year:  2016        PMID: 27912210      PMCID: PMC5210358          DOI: 10.1161/JAHA.116.004271

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


Introduction

Hypertension remains a major challenge for clinicians and a public health problem because of its high prevalence, poor control rates, and major impact on the global burden of disease.1, 2 Arterial stiffening is one of the hallmarks of aging‐related hypertension, and it is strongly associated with increases in pulse pressure and systolic blood pressure in both cross‐sectional and longitudinal settings.3, 4, 5 However, arterial stiffness, most commonly measured by carotid‐femoral pulse wave velocity (PWV), is not only a correlate of blood pressure but it is also an independent predictor of cardiovascular death, myocardial infarction, and stroke.6, 7, 8, 9 These relations are consistent in both men and women, the middle‐aged and the old, and between countries.10 Although the adverse effects of arterial stiffening have been robustly proven, there are still major gaps in our understanding of the risks associated with arterial stiffening in certain situations. First, a significant proportion of the previous studies that have examined the association between arterial stiffness and outcomes have been performed in cohorts consisting of elderly participants or patients with hypertension or kidney disease instead of in population‐based cohorts.10, 11 Limited data, therefore, exist regarding the absolute and relative risks of cardiovascular disease (CVD) and hypertensive target‐organ damage associated with increased arterial stiffness across the whole spectrum of blood pressure including levels considered normal. Additionally, it is unclear whether hypertension status itself modifies the relationship between arterial stiffness and CVD outcomes. Second, treated hypertension is associated with considerable residual risk as even optimally treated and controlled patients have a 50% higher CVD risk than normotensive individuals without prior high blood pressure.12 Residual arterial stiffness could play an important role in the residual risk in treated hypertension because the absence of a parallel PWV decrease along with treatment‐induced blood pressure decreases has been associated with adverse CVD outcomes.13 However, it is unknown to what extent arterial stiffness remains high in community‐dwelling patients with treated hypertension. We assessed the proportion of treated hypertensives with high arterial stiffness despite antihypertensive treatment to clarify the extent of residual arterial stiffness in the community. In addition, to elucidate whether measurement of PWV can be used for CVD risk assessment across the blood pressure distribution, we studied whether the high PWV is associated with increased risk of CVD and presence of left ventricular hypertrophy (LVH) in both normo‐ and hypertension.

Methods

Participants

We included participants who attended the seventh examination cycle of the Framingham Offspring cohort (n=3539; 1998–2001) in the present investigation. The characteristics and study protocol for the Framingham offspring cohort have been previously published in detail.14 Tonometry measurements were implemented in 2660 participants during the seventh examination cycle beginning in February 1999 as described previously.15, 16 Participants who had incomplete tonometry data (n=359) or prevalent CVD (n=174) were excluded from the present analysis. Measurements for echocardiographic and electrocardiographic LVH were made during the previous, sixth examination cycle (1995–1998). A subpopulation of 1583 participants with echocardiography and ECG data available from examination cycle 6 was used for analyses concerning LVH. All study protocols were approved by Boston University Medical Center's Institutional Review Board, and participants provided written informed consent.

Clinical Evaluation and Definitions

All participants provided a medical history and underwent a physical examination and laboratory assessment of CVD risk factors.14 We assessed the participants for self‐reported cigarette smoking and diabetes mellitus (fasting glucose level of ≥126 mg/dL or the use of hypoglycemic medications). In addition, we measured blood pressure (mean of 2 auscultatory values obtained by a physician using a mercury column sphygmomanometer on the left arm of seated participants using a standardized protocol), body mass index, serum total cholesterol levels, and high‐density lipoprotein cholesterol concentrations. We derived heart rate from a standard 10‐s ECG recording.

Carotid‐Femoral PWV

We evaluated arterial stiffness with carotid‐femoral PWV.17 PWV is inversely related to vascular compliance, and, therefore, a stiffer vessel will conduct the pulse wave faster than a more elastic vessel. Arterial tonometry measures were acquired as previously described after more than 5 minutes of rest in the supine position.15, 16 All recordings were performed on the right side of the body. Arterial tonometry with a simultaneously acquired ECG was obtained for the femoral and carotid arteries. Carotid‐femoral transit distance was estimated by measuring the body surface distance from the suprasternal notch to the carotid and femoral sites and taking the difference to account for parallel transmission along the brachiocephalic and carotid arteries and around the aortic arch. This corrected distance was divided by the carotid‐femoral transit time delay to give PWV.

Left Ventricular Hypertrophy

LVH was defined either as positive LVH by ECG or echocardiography. LVH by ECG was defined according to the Cornell voltage criteria (sum of R‐wave in aVL plus S‐wave in V3 >20 mV in women and >28 mV in men).18 M‐mode and 2‐dimensional echocardiography was performed with a Sonos 1000 Hewlett‐Packard ultrasound device to detect echocardiographic LVH. Digitized images were stored and measured using an off‐line analysis system by certified sonographers or cardiologists. Left ventricular mass was calculated according to the American Society of Echocardiography guidelines.19 Echocardiographic LVH was defined as the ratio of left ventricular mass to height ≥127 g/m in men and ≥100 g/m in women.19

Outcomes

The primary outcome was incidence of a major CVD disease event, a composite outcome of cardiovascular death, fatal or nonfatal myocardial infarction, unstable angina (prolonged ischemic episode with documented reversible ST‐segment changes), heart failure, and stroke. Medical records were obtained for all hospitalizations and physician visits related to CVD disease during follow‐up and were reviewed by an adjudication panel consisting of 3 investigators. Criteria for these CVD events have been described previously.20

Statistical Methods

We divided the participants into 4 groups according to their hypertension status (blood pressure ≥140 mm Hg systolic or ≥90 mm Hg diastolic or use of antihypertensive medication) and presence of high vascular stiffness (PWV at or over age‐ and sex‐specific median). Participants with normal blood pressure and lower vascular stiffness were used as reference in all analyses. First, we used Fisher's exact test to compare differences in prevalence of high PWV between categories based on hypertension subtypes. Second, we assessed baseline characteristics in groups by hypertension and PWV status. P for trend across categories was assessed with linear or logistic regression by entering the category as a linear term in the models. Third, we studied the associations between the 4 groups defined above and the presence of LVH using multivariable‐adjusted logistic regression models, with the nonhypertensive and lower PWV group serving as referent (with which the other groups were compared). Trend in odds ratios was tested by entering the exposure categories as a linear term in the model. Fourth, we assessed the association between the 4 groups and incident CVD events with Kaplan–Meier plots, log‐rank testing, and multivariable‐adjusted Cox proportional hazard regression models, with the nonhypertensive and lower PWV group serving as referent. Interaction between the exposure categories were tested by entering these variables with interaction terms and P for interaction was obtained. Trend in hazard ratios was tested by entering the exposure categories as a linear term in the model. We assessed proportional hazard assumption using Schoenfeld residuals and found no violation of the proportional hazard assumption. We also performed a subgroup analysis for CVD outcomes in participants with isolated systolic hypertension (systolic blood pressure ≥140 mm Hg and diastolic BP <90 mm Hg irrespective of antihypertensive medication) using high versus low PWV as the exposure variable. All multivariable models were adjusted for age, sex, body mass index, smoking status, diabetes mellitus, heart rate, serum total cholesterol, and high‐density lipoprotein cholesterol. A 2‐sided value of P<0.05 was considered statistically significant. All analyses were performed with Stata software version 13.1 (StataCorp, College Station, TX).

Results

We studied up to 2127 community‐dwelling participants (mean age 60.4 years, 56.6% women). Baseline characteristics in groups according to their PWV and hypertension status are shown in Table 1.
Table 1

Baseline Characteristics by Hypertension and PWV Status

CharacteristicAllNormotension With Low PWVNormotension With High PWVHypertension With Low PWVHypertension With High PWV P for Trend
N2127715505342565
Age, y60.4±9.558.2±8.956.6±8.965.7±8.463.5±9.0<0.001
Women, n1203 (56.6%)431 (60.3%)293 (58.0%)172 (50.3%)307 (54.3%)0.008
BMI, kg/m2 27.3±4.625.8±3.927.3±4.827.6±4.429.2±4.7<0.001
Diabetes mellitus, n187 (8.8%)18 (2.5%)34 (6.7%)38 (11.1%)97 (17.2%)<0.001
Current smoker, n287 (13.5%)117 (16.4%)86 (17.0%)26 (7.6%)58 (10.3%)<0.001
Cholesterol, mmol/L5.2±0.95.2±0.95.3±1.05.2±0.95.2±1.000.71
HDL cholesterol, mmol/L1.4±0.51.5±0.51.4±0.51.4±0.51.4±0.4<0.001
Systolic BP, mm Hg127±19115±12120±11133±17144±19<0.001
Diastolic BP, mm Hg74±1070±874±875±1080±11<0.001
Heart rate, bpm64.8±10.762.3±9.366.9±9.962.4±10.867.5±11.7<0.001
HTN treatment, n648 (30.5%)0 (0%)0 (0%)257 (75.2%)391 (69.2%)<0.001
PWV, m/s9.9±3.47.9±1.410.1±2.69.2±1.713.0±4.1<0.001

Values are mean±SD for continuous variables or n (%) for categorical variables. P for trend across categories was assessed with linear or logistic regression by entering the category as a linear term in the models. BMI indicates body mass index; BP, elevated blood pressure; HDL, high‐density lipoprotein; HTN, hypertension; PWV, pulse wave velocity.

Baseline Characteristics by Hypertension and PWV Status Values are mean±SD for continuous variables or n (%) for categorical variables. P for trend across categories was assessed with linear or logistic regression by entering the category as a linear term in the models. BMI indicates body mass index; BP, elevated blood pressure; HDL, high‐density lipoprotein; HTN, hypertension; PWV, pulse wave velocity.

Risk of CVD Events in Groups by PWV and Hypertension Status

During a median follow‐up of 12.6 years, 248 CVD events occurred. The unadjusted Kaplan–Meier curves in Figure 1 illustrate the cumulative incidence of CVD events in groups by PWV and hypertension status. Again, as for LVH, the incidence rates and both unadjusted and adjusted hazards ratios increased across the groups (Table 2, Figure 2). Risk of CVD events was not significantly increased in participants who were normotensive and had high PWV (hazard ratio 1.33, 95% CI 0.86–2.05). No interaction was found between PWV and hypertension status on CVD risk in the multivariable model (P=0.68). We also performed a subgroup analysis for CVD outcomes in participants with isolated systolic hypertension (n=369) with high versus low PWV as the exposure variable. Among these individuals, high PWV (n=250 with 64 events, hazard ratio 3.06, 95% CI 1.59–5.89) was a particularly potent predictor of CVD events when compared with individuals with low PWV (n=119 with 11 events, hazard ratio 1.00).
Figure 1

Cumulative incidence of cardiovascular events in groups by hypertension and pulse wave velocity status (truncated at 13 years after baseline). HT indicates hypertension; NT, normotension; PWV, pulse wave velocity.

Table 2

Risk of Cardiovascular Events in Groups by Hypertension and PWV Status (n=2127)

Normotension With Low PWVNormotension With High PWVHypertension With Low PWVHypertension With High PWV P (Trend)
Number of CVD events (%)42 (5.9)41 (8.1)51 (14.9)114 (20.2)
Events per 1000 person‐years5.0 (3.7–6.7)7.0 (5.2–9.5)14.4 (11.0–19.0)20.7 (17.2–24.9)
Hazard ratio (95% CI) for CVD events
Unadjusted model1.00 (reference)1.41 (0.92–2.17)2.96 (1.97–4.45)4.24 (2.98–6.05)<0.0001
Multivariable‐adjusted model1.00 (reference)1.29 (0.83–2.00)1.54 (1.01–2.36)2.25 (1.54–3.29)<0.0001

Multivariable model adjusted for age, sex, body mass index, smoking status, diabetes mellitus, heart rate, total cholesterol, and HDL cholesterol. Trend in hazard ratios was tested by entering the exposure categories as a linear term in the model. CVD indicates cardiovascular disease; PWV, pulse wave velocity.

Figure 2

Risk of left ventricular hypertrophy and cardiovascular events in groups by hypertension and pulse wave velocity status. Odds/hazard ratios (95% CIs) are adjusted for age, sex, body mass index, smoking status, diabetes mellitus, total cholesterol, and HDL cholesterol. Trend in odds and hazard ratios was tested by entering the exposure categories as a linear term in the model. HDL indicates high‐density lipoprotein; PWV, pulse wave velocity.

Cumulative incidence of cardiovascular events in groups by hypertension and pulse wave velocity status (truncated at 13 years after baseline). HT indicates hypertension; NT, normotension; PWV, pulse wave velocity. Risk of Cardiovascular Events in Groups by Hypertension and PWV Status (n=2127) Multivariable model adjusted for age, sex, body mass index, smoking status, diabetes mellitus, heart rate, total cholesterol, and HDL cholesterol. Trend in hazard ratios was tested by entering the exposure categories as a linear term in the model. CVD indicates cardiovascular disease; PWV, pulse wave velocity. Risk of left ventricular hypertrophy and cardiovascular events in groups by hypertension and pulse wave velocity status. Odds/hazard ratios (95% CIs) are adjusted for age, sex, body mass index, smoking status, diabetes mellitus, total cholesterol, and HDL cholesterol. Trend in odds and hazard ratios was tested by entering the exposure categories as a linear term in the model. HDL indicates high‐density lipoprotein; PWV, pulse wave velocity.

Presence of LVH in Groups by PWV and Hypertension Status

In a subgroup of 1583 participants who had LVH data available (mean age 60.0±9.5, 59.8% women), the prevalence of LVH in groups by PWV and hypertension status are reported in Table 3 and Figure 2. The prevalence rates and both unadjusted and adjusted odds ratios were higher across the groups. LVH rates were not significantly higher in participants who were nonhypertensive and had high PWV (odds ratio 1.20, 95% CI 0.79–1.83). No interaction was found for the effects of PWV and hypertension status on LVH in the multivariable model (P=0.77).
Table 3

Odds Ratios for Echo‐ or Electrocardiographic LVH in Groups by Hypertension and PWV Status (n=1583)

GroupnParticipants With LVH (%)Unadjusted OR (95% CI) P ValueMultivariable OR (95% CI) P Value
Normotension with low PWV56262 (11.0)1.00 (reference)1.00 (reference)
Normotension with high PWV37649 (13.0)1.21 (0.81–1.80)0.351.20 (0.79–1.83)0.40
Hypertension with low PWV24366 (27.2)3.01 (2.04–4.43)<0.00011.93 (1.27–2.93)0.002
Hypertension with high PWV402143 (35.6)4.45 (3.19–6.22)<0.00012.60 (1.80–3.76)<0.0001

Multivariable model is adjusted for age, sex, body mass index, smoking status, diabetes mellitus, heart rate, total cholesterol, and HDL cholesterol. Left ventricular hypertrophy was defined as presence of Cornell voltage >20 mV in women and >28 mV in men (n=30), the ratio of echocardiographic left ventricular mass to height in the sex‐specific top quintile (n=278) or both (n=12). P for difference in prevalence of left ventricular hypertrophy across categories is <0.001 (Fisher's exact test). P value for trend in odds ratios across categories was <0.001 in both models (tested by entering the exposure categories as a linear term in the model). HDL indicates high‐density lipoprotein; LVH, left ventricular hypertrophy; OR, odds ratio; PWV, pulse wave velocity.

Odds Ratios for Echo‐ or Electrocardiographic LVH in Groups by Hypertension and PWV Status (n=1583) Multivariable model is adjusted for age, sex, body mass index, smoking status, diabetes mellitus, heart rate, total cholesterol, and HDL cholesterol. Left ventricular hypertrophy was defined as presence of Cornell voltage >20 mV in women and >28 mV in men (n=30), the ratio of echocardiographic left ventricular mass to height in the sex‐specific top quintile (n=278) or both (n=12). P for difference in prevalence of left ventricular hypertrophy across categories is <0.001 (Fisher's exact test). P value for trend in odds ratios across categories was <0.001 in both models (tested by entering the exposure categories as a linear term in the model). HDL indicates high‐density lipoprotein; LVH, left ventricular hypertrophy; OR, odds ratio; PWV, pulse wave velocity.

Prevalence of High PWV by Hypertension Subtype

To assess to what extent PWV remains high in treated hypertension (Figure 3), we also categorized the participants according to their hypertension status: nonhypertensive (n=1220, blood pressure <140/90 mm Hg without antihypertensive medication), controlled treated hypertension (n=390, blood pressure <140/90 mm Hg with antihypertensive medication), uncontrolled treated hypertension (n=258, blood pressure ≥140/90 mm Hg with antihypertensive medication), and untreated hypertension (n=259, blood pressure ≥140/90 mm Hg without antihypertensive medication). Altogether, 71.8% of treated hypertensives had high PWV. Participants with controlled hypertension had a greater prevalence of high PWV (59.7%) than nonhypertensive participants (33.9%, P for difference<0.0001) but a lower prevalence of high PWV than participants with uncontrolled (89.9%, P for difference<0.0001) or untreated hypertension (72.2%, P for difference=0.001).
Figure 3

Proportion of participants with increased pulse wave velocity (over age‐ and sex‐specific median) in groups by hypertension subtype. P≤0.001 for all between‐group differences. BP indicates blood pressure; HTN, hypertension; PWV, pulse wave velocity.

Proportion of participants with increased pulse wave velocity (over age‐ and sex‐specific median) in groups by hypertension subtype. P≤0.001 for all between‐group differences. BP indicates blood pressure; HTN, hypertension; PWV, pulse wave velocity.

Discussion

The results of our study indicate that arterial stiffness was elevated in the majority of treated hypertensives in the community, irrespective of hypertension control. In addition, our results show that there is an increasing stepwise trend for a higher prevalence of LVH and increasing CVD risk in categories cross‐classified by hypertension and arterial stiffness status from nonhypertensive with low PWV to nonhypertensive with high PWV, and from hypertension with low PWV to hypertension with high PWV. The results of our study demonstrate that approximately only 10% of uncontrolled treated hypertensives and 40% of controlled hypertensives have lower PWV (as defined by the age‐ and sex‐specific median). Many of the standard modifiable risk factors, such as blood pressure and lipids, can be often normalized within a few weeks with aggressive drug therapies that also improve CVD outcomes.21, 22 However, normalizing these risk factors does not necessarily per se immediately lead to improved arterial stiffness, as some of the causes underlying arterial stiffening, such as vascular calcification and fracture of elastin fibers within the arterial media, may be irreversible.23, 24, 25 In addition, whereas agents acting on the renin–angiotensin system and calcium channel blockers are beneficial in reducing arterial stiffness, some β‐blockers may have the opposite effects while still lowering peripheral blood pressure.26, 27, 28 Although it has not yet been unequivocally shown that normalization of arterial stiffness leads to improved outcomes, one study has suggested that changes in PWV in response to decreases in blood pressure favorably influence outcomes independent of the blood pressure changes.13 In that investigation, Guerin et al reported in a cohort of 150 patients that with an absence of PWV decrease they had a 2.4‐fold higher risk for cardiovascular mortality compared to participants in whom PWV decreased. However, as this was a highly selected sample of dialysis patients with end‐stage renal disease, its results may not be generalizable to other populations. Our finding of the high prevalence of increased PWV among treated hypertensives in the community warrants further study because it has been previously shown that patients under antihypertensive medication have a 50% greater residual risk of cardiovascular mortality compared to persons free from hypertension even after adjusting for blood pressure level.12, 29 Difficult‐to‐treat residual arterial stiffness could, therefore, be a key factor in the adverse CVD prognosis in apparently well‐controlled hypertension. Although the presence of LVH and risk of incident CVD was not statistically higher in nonhypertensive participants with high PWV than in nonhypertensive participants with low PWV, the risk trended to increase across the 4 groups by hypertension and PWV status. Another interesting finding of our study is that although the majority of individuals with isolated systolic hypertension expectedly also had high PWV, individuals with isolated systolic hypertension and low PWV had a 3‐fold lower risk of CVD events than those with high PWV. Furthermore, hypertension status itself did not modify the relationship between PWV and LVH or CVD outcomes, as evidenced by the statistically nonsignificant interaction terms. Previous meta‐analyses have not directly compared the prognostic significance of PWV in hypertensive or nonhypertensive groups, although these studies did test for interaction with between PWV and several other variables.10, 11 In these studies, the results by population type (general versus clinical) were contradictory as a literature‐based meta‐analysis by Vlachopoulos et al concluded that the risk ratios for CVD events associated with higher PWV were significantly higher in high‐risk than in low‐risk populations. However, Ben‐Shlomo et al reported in their individual‐level data meta‐analysis that the increased risk associated with PWV was not modified by population type or antihypertensive medication.10, 11 Although the results from our and previous studies demonstrate that measurement of arterial stiffness improves CVD risk assessment in most subpopulations, the optimal approach for CVD disease prevention using PWV still remains controversial as it has not yet been demonstrated that normalization of arterial stiffness, independent of standard CVD risk factors, improves prognosis. The ongoing SPARTE (Strategy for Preventing Cardiovascular and Renal Events Based on ARTErial Stiffness) trial that aims at comparing the efficacy of a therapeutic strategy targeting normalization of arterial stiffness, instead of blood pressure, for reducing CVD and renal events will hopefully finally provide an answer to this key question.30 Studying the distinctive roles of arterial stiffness and hypertension as predictors of CVD outcomes has certain challenges as PWV represents on one side hypertensive end organ damage and on the other side a cause of hypertension, while both arterial stiffness and hypertension may be elements of a vicious cycle. Despite the strengths of our study, such as a moderate‐sized community‐based sample with long‐term follow‐up, our results must be interpreted with caution. First, our study could have benefited from a larger study sample and greater number of CVD events; we were inherently underpowered to demonstrate a statistically increased CVD risk among normotensive participants with a high PWV. It is also conceivable that elevated PWV alone may be necessary but not sufficient to elevate CVD risk, or that not everyone with elevated PWV may develop high blood pressure during the limited period of observation in our study. Second, an enhanced statistical power would have also enabled us assess the CVD prognosis associated with high versus low PWV in individuals with controlled hypertension, which in turn would have allowed us to elucidate whether arterial stiffness is a key factor in contributing to the residual risk in treated hypertension. Third, PWV is only a measure of large‐artery stiffness, and does not adequately reflect the universal lifetime panarterial damage sustained due to high blood pressure and other risk factors. Fourth, because our study sample consisted mainly of middle‐aged and older white individuals, our results may not be generalizable to other age groups or ethnicities. Fifth, as LVH was ascertained ≈3 years earlier, blood pressure status, PWV status, and LVH status all could have changed in the interval. Sixth, a doctor measured the blood pressure only twice at the clinic and no out‐of‐office BP measurements were available. Seventh, we could not assess the distinctive effects of various drug classes on arterial stiffness in our cross‐sectional study because many of the treated hypertensives in our study were on combination antihypertensive therapy. Furthermore, these analyses would have also been confounded by indication bias as many comorbidities (eg, diabetes mellitus) at the same time affect arterial stiffness and may also guide the selection of antihypertensive therapy. In conclusion, high PWV is associated with a stepwise trend towards increasing prevalence of LVH cross‐sectionally, and greater CVD risk prospectively regardless of hypertension status (nonhypertensive versus hypertensive). These findings may therefore support the use of arterial stiffness measurements in both populations. Furthermore, the high prevalence of increased PWV in both controlled and uncontrolled treated individuals with hypertension observed in our study warrants further research as this residual increased arterial stiffness may explain some of the notable residual CVD risk associated with even well‐controlled hypertension.

Sources of Funding

This work was supported by the National Heart, Lung, and Blood Institute's Framingham Heart Study (National Institute of Health [NIH] contracts N01‐HC‐25195 and HHSN268201500001I) and NIH grants HL080124, HL071039, HL077447, HL107385, 1R01HL126136‐01A1, 5R01HL107385‐04, 1R01HL60040, and 1RO1HL70100.

Disclosures

Mitchell is owner of Cardiovascular Engineering, Inc., a company that designs and manufactures devices that measure vascular stiffness. The company uses these devices in clinical trials that evaluate the effects of diseases and interventions on vascular stiffness. The remaining authors report no conflicts.
  30 in total

1.  Impact of aortic stiffness attenuation on survival of patients in end-stage renal failure.

Authors:  A P Guerin; J Blacher; B Pannier; S J Marchais; M E Safar; G M London
Journal:  Circulation       Date:  2001-02-20       Impact factor: 29.690

2.  Expert consensus document on arterial stiffness: methodological issues and clinical applications.

Authors:  Stephane Laurent; John Cockcroft; Luc Van Bortel; Pierre Boutouyrie; Cristina Giannattasio; Daniel Hayoz; Bruno Pannier; Charalambos Vlachopoulos; Ian Wilkinson; Harry Struijker-Boudier
Journal:  Eur Heart J       Date:  2006-09-25       Impact factor: 29.983

3.  Cardiovascular risk with and without antihypertensive drug treatment in the Japanese general population: participant-level meta-analysis.

Authors:  Kei Asayama; Michihiro Satoh; Yoshitaka Murakami; Takayoshi Ohkubo; Sin-Ya Nagasawa; Ichiro Tsuji; Takeo Nakayama; Akira Okayama; Katsuyuki Miura; Yutaka Imai; Hirotsugu Ueshima; Tomonori Okamura
Journal:  Hypertension       Date:  2014-03-17       Impact factor: 10.190

4.  Prevalence, awareness, treatment, and control of hypertension in rural and urban communities in high-, middle-, and low-income countries.

Authors:  Clara K Chow; Koon K Teo; Sumathy Rangarajan; Shofiqul Islam; Rajeev Gupta; Alvaro Avezum; Ahmad Bahonar; Jephat Chifamba; Gilles Dagenais; Rafael Diaz; Khawar Kazmi; Fernando Lanas; Li Wei; Patricio Lopez-Jaramillo; Lu Fanghong; Noor Hassim Ismail; Thandi Puoane; Annika Rosengren; Andrzej Szuba; Ahmet Temizhan; Andy Wielgosz; Rita Yusuf; Afzalhussein Yusufali; Martin McKee; Lisheng Liu; Prem Mony; Salim Yusuf
Journal:  JAMA       Date:  2013-09-04       Impact factor: 56.272

5.  Aortic calcification is associated with aortic stiffness and isolated systolic hypertension in healthy individuals.

Authors:  Carmel M McEniery; Barry J McDonnell; Alvin So; Sri Aitken; Charlotte E Bolton; Margaret Munnery; Stacey S Hickson; Kaisa M Maki-Petaja; John R Cockcroft; Adrian K Dixon; Ian B Wilkinson
Journal:  Hypertension       Date:  2009-01-26       Impact factor: 10.190

6.  Arterial stiffness and cardiovascular events: the Framingham Heart Study.

Authors:  Gary F Mitchell; Shih-Jen Hwang; Ramachandran S Vasan; Martin G Larson; Michael J Pencina; Naomi M Hamburg; Joseph A Vita; Daniel Levy; Emelia J Benjamin
Journal:  Circulation       Date:  2010-01-18       Impact factor: 29.690

7.  A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Stephen S Lim; Theo Vos; Abraham D Flaxman; Goodarz Danaei; Kenji Shibuya; Heather Adair-Rohani; Markus Amann; H Ross Anderson; Kathryn G Andrews; Martin Aryee; Charles Atkinson; Loraine J Bacchus; Adil N Bahalim; Kalpana Balakrishnan; John Balmes; Suzanne Barker-Collo; Amanda Baxter; Michelle L Bell; Jed D Blore; Fiona Blyth; Carissa Bonner; Guilherme Borges; Rupert Bourne; Michel Boussinesq; Michael Brauer; Peter Brooks; Nigel G Bruce; Bert Brunekreef; Claire Bryan-Hancock; Chiara Bucello; Rachelle Buchbinder; Fiona Bull; Richard T Burnett; Tim E Byers; Bianca Calabria; Jonathan Carapetis; Emily Carnahan; Zoe Chafe; Fiona Charlson; Honglei Chen; Jian Shen Chen; Andrew Tai-Ann Cheng; Jennifer Christine Child; Aaron Cohen; K Ellicott Colson; Benjamin C Cowie; Sarah Darby; Susan Darling; Adrian Davis; Louisa Degenhardt; Frank Dentener; Don C Des Jarlais; Karen Devries; Mukesh Dherani; Eric L Ding; E Ray Dorsey; Tim Driscoll; Karen Edmond; Suad Eltahir Ali; Rebecca E Engell; Patricia J Erwin; Saman Fahimi; Gail Falder; Farshad Farzadfar; Alize Ferrari; Mariel M Finucane; Seth Flaxman; Francis Gerry R Fowkes; Greg Freedman; Michael K Freeman; Emmanuela Gakidou; Santu Ghosh; Edward Giovannucci; Gerhard Gmel; Kathryn Graham; Rebecca Grainger; Bridget Grant; David Gunnell; Hialy R Gutierrez; Wayne Hall; Hans W Hoek; Anthony Hogan; H Dean Hosgood; Damian Hoy; Howard Hu; Bryan J Hubbell; Sally J Hutchings; Sydney E Ibeanusi; Gemma L Jacklyn; Rashmi Jasrasaria; Jost B Jonas; Haidong Kan; John A Kanis; Nicholas Kassebaum; Norito Kawakami; Young-Ho Khang; Shahab Khatibzadeh; Jon-Paul Khoo; Cindy Kok; Francine Laden; Ratilal Lalloo; Qing Lan; Tim Lathlean; Janet L Leasher; James Leigh; Yang Li; John Kent Lin; Steven E Lipshultz; Stephanie London; Rafael Lozano; Yuan Lu; Joelle Mak; Reza Malekzadeh; Leslie Mallinger; Wagner Marcenes; Lyn March; Robin Marks; Randall Martin; Paul McGale; John McGrath; Sumi Mehta; George A Mensah; Tony R Merriman; Renata Micha; Catherine Michaud; Vinod Mishra; Khayriyyah Mohd Hanafiah; Ali A Mokdad; Lidia Morawska; Dariush Mozaffarian; Tasha Murphy; Mohsen Naghavi; Bruce Neal; Paul K Nelson; Joan Miquel Nolla; Rosana Norman; Casey Olives; Saad B Omer; Jessica Orchard; Richard Osborne; Bart Ostro; Andrew Page; Kiran D Pandey; Charles D H Parry; Erin Passmore; Jayadeep Patra; Neil Pearce; Pamela M Pelizzari; Max Petzold; Michael R Phillips; Dan Pope; C Arden Pope; John Powles; Mayuree Rao; Homie Razavi; Eva A Rehfuess; Jürgen T Rehm; Beate Ritz; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Jose A Rodriguez-Portales; Isabelle Romieu; Robin Room; Lisa C Rosenfeld; Ananya Roy; Lesley Rushton; Joshua A Salomon; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; Amir Sapkota; Soraya Seedat; Peilin Shi; Kevin Shield; Rupak Shivakoti; Gitanjali M Singh; David A Sleet; Emma Smith; Kirk R Smith; Nicolas J C Stapelberg; Kyle Steenland; Heidi Stöckl; Lars Jacob Stovner; Kurt Straif; Lahn Straney; George D Thurston; Jimmy H Tran; Rita Van Dingenen; Aaron van Donkelaar; J Lennert Veerman; Lakshmi Vijayakumar; Robert Weintraub; Myrna M Weissman; Richard A White; Harvey Whiteford; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Warwick Williams; Nicholas Wilson; Anthony D Woolf; Paul Yip; Jan M Zielinski; Alan D Lopez; Christopher J L Murray; Majid Ezzati; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

8.  Changes in arterial stiffness and wave reflection with advancing age in healthy men and women: the Framingham Heart Study.

Authors:  Gary F Mitchell; Helen Parise; Emelia J Benjamin; Martin G Larson; Michelle J Keyes; Joseph A Vita; Ramachandran S Vasan; Daniel Levy
Journal:  Hypertension       Date:  2004-05-03       Impact factor: 10.190

Review 9.  Mechanical factors in arterial aging: a clinical perspective.

Authors:  Michael F O'Rourke; Junichiro Hashimoto
Journal:  J Am Coll Cardiol       Date:  2007-06-18       Impact factor: 24.094

Review 10.  Aortic pulse wave velocity improves cardiovascular event prediction: an individual participant meta-analysis of prospective observational data from 17,635 subjects.

Authors:  Yoav Ben-Shlomo; Melissa Spears; Chris Boustred; Margaret May; Simon G Anderson; Emelia J Benjamin; Pierre Boutouyrie; James Cameron; Chen-Huan Chen; J Kennedy Cruickshank; Shih-Jen Hwang; Edward G Lakatta; Stephane Laurent; João Maldonado; Gary F Mitchell; Samer S Najjar; Anne B Newman; Mitsuru Ohishi; Bruno Pannier; Telmo Pereira; Ramachandran S Vasan; Tomoki Shokawa; Kim Sutton-Tyrell; Francis Verbeke; Kang-Ling Wang; David J Webb; Tine Willum Hansen; Sophia Zoungas; Carmel M McEniery; John R Cockcroft; Ian B Wilkinson
Journal:  J Am Coll Cardiol       Date:  2013-11-13       Impact factor: 24.094

View more
  29 in total

1.  LIMK (LIM Kinase) Inhibition Prevents Vasoconstriction- and Hypertension-Induced Arterial Stiffening and Remodeling.

Authors:  Mariana Morales-Quinones; Francisco I Ramirez-Perez; Christopher A Foote; Thaysa Ghiarone; Larissa Ferreira-Santos; Maria Bloksgaard; Nicole Spencer; Eric T Kimchi; Camila Manrique-Acevedo; Jaume Padilla; Luis A Martinez-Lemus
Journal:  Hypertension       Date:  2020-06-29       Impact factor: 10.190

2.  Obstructive Sleep Apnea and Structural/Functional Properties of the Thoracic Ascending Aorta: The Multi-Ethnic Study of Atherosclerosis (MESA).

Authors:  Younghoon Kwon; Jeongok Logan; Susan Redline; Daniel Duprez; David R Jacobs; Pamela Ouyang; W Greg Hundley; Joao Lima; David A Bluemke; Pamela L Lutsey
Journal:  Cardiology       Date:  2019-06-12       Impact factor: 1.869

3.  Target blood pressure and cardiovascular risk.

Authors:  Céline Dreyfuss-Tubiana; Philippe Sosner; Jacques Blacher
Journal:  J Thorac Dis       Date:  2017-07       Impact factor: 2.895

Review 4.  Arterial Stiffness in Hypertension: an Update.

Authors:  Korshie Dumor; Michael Shoemaker-Moyle; Ravi Nistala; Adam Whaley-Connell
Journal:  Curr Hypertens Rep       Date:  2018-07-04       Impact factor: 5.369

5.  Post-Exercise Arterial Stiffness Responses Are Similar After Acute Eccentric and Concentric Arm Cycling.

Authors:  Travis R Wakeham; Dakota J Anderson; Steven J Elmer; John J Durocher
Journal:  Int J Exerc Sci       Date:  2022-06-01

6.  Influence of baseline arterial stiffness on effects of intensive compared with standard blood pressure control: a post hoc analysis of the STEP trial.

Authors:  Qirui Song; Qianhui Ling; Jingjing Bai; Hongwei Zhang; Peili Bu; Fang Chen; Shouling Wu; Weili Zhang; Mulei Chen; Jun Cai
Journal:  BMC Med       Date:  2022-10-20       Impact factor: 11.150

Review 7.  Aortic stiffness, pressure and flow pulsatility, and target organ damage.

Authors:  Gary F Mitchell
Journal:  J Appl Physiol (1985)       Date:  2018-10-25

Review 8.  70-year legacy of the Framingham Heart Study.

Authors:  Charlotte Andersson; Andrew D Johnson; Emelia J Benjamin; Daniel Levy; Ramachandran S Vasan
Journal:  Nat Rev Cardiol       Date:  2019-11       Impact factor: 32.419

9.  Masked hypertensives: A disguised arterial stiffness population.

Authors:  Christina Antza; Ioannis Doundoulakis; Stella Stabouli; Konstantinos Tziomalos; Vasilios Kotsis
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-09-09       Impact factor: 3.738

10.  "Osteotropic" Wnt/LRP Signals: High-Wire Artists in a Balancing Act Regulating Aortic Structure and Function.

Authors:  Dwight A Towler
Journal:  Arterioscler Thromb Vasc Biol       Date:  2017-03       Impact factor: 8.311

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.