Abstract
Aims
Chronic pressure overload determines functional and structural alterations, leading to hypertension-mediated organ damage (HMOD), affecting multiple districts. We aim at evaluating the prognostic impact of the absence vs. presence of HMOD in one or more sites and of blood pressure (BP) and metabolic control in hypertensive patients.
Methods and results
The study included 7237 hypertensive patients from the Campania Salute Network Registry, followed up for 5.3 ± 4.5 years. As HMOD, we analysed the presence of left ventricular hypertrophy, carotid plaques, and chronic kidney disease (CKD-EPI ≥3 stage) and evaluated the impact of zero vs. one vs. two vs. three sites of HMOD on the occurrence of major adverse cardiovascular events (MACEs). Blood pressure control and Metabolic Score for Insulin Resistance (METS-IR) were also considered. Optimal BP control was achieved in 57.3% patients. Major adverse cardiovascular events occurred in 351 (4.8%) patients. The MACE rate in patients without HMOD was 2.7%, whereas it was 4.7, 7.9, and 9.8% in patients with one, two, and three sites with HMOD, respectively. By using Cox multivariate models, adjusted for age, BP control, mean heart rate, mean METS-IR, number of HMOD sites, and drugs, MACE was found to be significantly associated with ageing, mean METS-IR, anti-platelet therapy, and multiple sites with HMOD, whereas a negative association was found with renin–angiotensin system inhibitor drugs.
Conclusion
In hypertensive patients, the risk of MACE increases with the incremental number of districts involved by HMOD, independent of BP control and despite the significant impact of metabolic dysregulation. Hypertension-mediated organ damage involving multiple sites is the deleterious consequence of hypertension and dysmetabolism but, when established, it represents an independent cardiovascular risk factor for MACE occurrence.
Keywords: Arterial hypertension, Major adverse cardiovascular events, Renin–angiotensin system inhibitor drugs
Graphical Abstract
Graphical Abstract.
Introduction
Arterial hypertension (AH), especially when combined with other cardiovascular risk factors, is responsible for functional and structural abnormalities involving multiple organs, defined as hypertension-mediated organ damage (HMOD),1–3 including left ventricular (LV) hypertrophy, carotid atherosclerosis, and renal functional impairment, possibly impacting patient prognosis.4–6 Insulin resistance and metabolic dysfunction have shown a synergic deleterious effect with hypertension, in both the development and the progression of HMOD.7
Early control of blood pressure (BP) values is recommended to prevent the progression of hypertensive disease and further cardiovascular complications,4 as also suggested by several studies, which demonstrated a decrease in the rate of major adverse cardiovascular events (MACEs) in patients achieving precocious BP control.8,9 However, when multiple districts are involved in HMOD, a deeply rooted injury may already be established, and it should be elucidated whether the presence of several sites with HMOD could influence a poor prognosis and MACE occurrence.
Indeed, according to the current guidelines on AH, the presence of HMOD is important to define cardiovascular risk stratification in hypertensive patients; however, common scores, established with the aim of outlining cardiovascular risk, do not take into account the impact of the number of involved sites.4,10 In other words, could the screening of HMOD and its extension modify the cardiovascular risk score and therapeutic approach of hypertensive patients?
Despite little evidence suggesting that the relationship between HMOD and outcomes seems to be graded, with a more adverse prognosis in patients with multiple sites of HMOD involvement, the real impact of the presence of one vs. several districts with HMOD on MACE is still not well defined.11,12 Furthermore, it is still unclear which classes of anti-hypertensive drugs may have a favourable effect on helping to prevent the occurrence of MACE in hypertensive patients with HMOD. Therefore, we aim at evaluating the prognostic impact of the absence vs. the presence of HMOD involving one or more districts, and the effect of BP and metabolic control as well as of anti-hypertensive treatment on a population of patients affected by AH.
Methods
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Study population
Patients affected by AH with a long-term follow-up, enrolled in the Campania Salute Network, were evaluated. The Campania Salute Network is an open electronic registry that received approval from the Federico II University Hospital Ethics Committee (ClinicalTrials.gov Identifier: NCT02211365) and was previously described in detail.13,14 All patients signed a written informed consent to participate in clinical studies.15,16
The study population included patients with available follow-up ≥12 months, echo and serum creatinine assessment, and without a history of prevalent cardiovascular disease at baseline, including congestive heart failure, myocardial infarction, angina pectoris, coronary or carotid revascularization procedures, transitory ischaemic attack, stroke, clinically relevant heart valvular disease (more than mild valve regurgitation or any stenosis), known renal diseases not mediated by AH, and chronic kidney disease (CKD) more than Stage 3.
The diagnosis of AH was confirmed according to current ESC/ESH guidelines.4 At baseline and at each follow-up visit, systolic and diastolic BP and heart rate were collected in the sitting position after 2 min of resting, using a semi-automatic oscillometric sphygmomanometer with cuffs of appropriate size (average of three measurements at 1 min interval). The calibration of the devices was performed by yearly checks from the manufacturer. Optimal office BP control during the follow-up was defined for average values <140/90 mmHg during the follow-up visits, in accordance with ESC/ESH guidelines for the management of AH.4 Pulse pressure was computed as the difference between systolic BP and diastolic BP values.17
Diabetes was defined as a history of diabetes, use of any specific anti-diabetic treatment, or for values of fasting plasma glucose >126 mg/dL confirmed on two different occasions.18 Obesity was established for values of body mass index ≥30 kg/m2.
Glomerular filtration rate was estimated by using the CKD epidemiology collaboration (CKD-EPI) equation, as previously reported.19
Metabolic evaluation was assessed by using the Metabolic Score for Insulin Resistance (METS-IR), an insulin resistance surrogate, measured according to the following formula: METS-IR = {ln [2 × fasting plasma glucose (mg/dL) + triglycerides (mg/dL)] × body mass index (kg/m2)/ln [HDL-cholesterol (mg/dL)]}.15,20
The rate of MACE developed during the follow-up was related to the first occurrence. Major adverse cardiovascular events during the follow-up period included myocardial infarction, stroke, and transitory ischaemic attack, coronary or carotid revascularization procedures, hospitalization due to heart failure symptoms, and the development of life-threatening arrhythmias or atrial fibrillation.
Three-point MACE (3P-MACE) was also considered, which constituted a less broad definition of MACE and including just the occurrence of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke during the follow-up.
Ultrasound assessment
Ultrasound cardiac and carotid assessment was performed at the Hypertension Outpatient Clinic of the Federico II University in Naples, using a standardized protocol.21 All measurements were evaluated according to the latest consolidated convention and according to the standards of our laboratory.22,23 Echocardiographic examinations were digitally recorded and read offline by a trained expert reader under the supervision of a senior faculty member, using dedicated workstations.
Left ventricular mass was estimated from a necropsy-validated formula and normalized for height in metres to the power of 2.7 (LV mass index).24,25 Left ventricular hypertrophy was defined for values of LV mass index >47 g/m2.7 in women and >50 g/m2.7 in men.26,27
Left ventricular ejection fraction and stroke volume were computed as the difference between LV end-diastolic and end-systolic volume by the z-derived method and indexed for height to the power of 2.04.28,29
Left atrial volume was estimated according to the previously validated formula and indexed for height powered to 2.30
Carotid ultrasound was evaluated in the supine position. The intima–media thickness was measured as the distance between the lumen–intima and the media–adventitia interface in up to two arterial walls, on both the near and the far walls of the distal common carotid (1 cm), bulb and the proximal internal carotid artery of both sides, and carotid plaques were identified for intima–media thickness values >1.5 mm.14
As sites with HMOD, we considered the presence of LV hypertrophy, carotid plaques, and/or CKD-EPI ≥3 at baseline and evaluated the impact of one vs. two vs. three districts involved by HMOD vs. the absence of HMOD on the occurrence of MACE.
Statistical analysis
Categorical variables were expressed as frequency (percentage) and continuous variables as mean ± standard deviation. Simple Cox regression models were used to evaluate the association between the measured variables and the occurrence of MACE. Predictors that were significant in the simple regression models were added, along with the variable of interest (sites with HMOD), to a multiple Cox regression model. P-values and hazard ratios for all combinations of sites with HMOD with different references were estimated using separate multiple Cox models. The proportional hazard assumption was tested using the Schoenfeld residuals.
In all analyses, a P-value <0.05 was considered statistically significant. All statistical analyses were performed using R Statistical Software version 4.0.3 and SPSS Statistics 26 software (IBM Corp.).
Results
The study population included 7237 hypertensive patients followed up for a period of 5.3 ± 4.5 years. Table 1 summarizes the clinical and ultrasound characteristics of the study population. At baseline, the prevalence of diabetes and obesity was of 10.2 and 25.5%, respectively. At basal evaluation, 35.6% patients did not have any HMOD, whereas 38.8, 21.7, and 3.9% patients presented one, two, or three sites with HMOD, respectively. Among districts with HMOD, LV hypertrophy was recorded in 2761 patients (38.2%), carotid plaques in 3325 patients (45.9%), and CKD-EPI >3 in 706 (9.7%).
Table 1.
Clinical and ultrasound data of the study population
Parameter | Mean ± SD or n (%) |
---|---|
Age, years | 53.8 ± 11.4 |
Female sex | 3079 (42.5) |
Baseline systolic BP, mmHg | 142.7 ± 18.4 |
Baseline diastolic BP, mmHg | 88.8 ± 11.1 |
Baseline pulse pressure, mmHg | 61.7 ± 15.9 |
Baseline heart rate, b.p.m. | 74.4 ± 11.5 |
Baseline body mass index, kg/m2 | 27.8 ± 4.2 |
Baseline fasting glycaemia, mg/dL | 99.2 ± 24.2 |
Baseline total cholesterol, mg/dL | 206.1 ± 39.2 |
Baseline triglycerides, mg/dL | 132.2 ± 75.2 |
Baseline HDL-cholesterol, mg/dL | 50.6 ± 13.1 |
Baseline METS-IR | 41.6 ± 8.0 |
Diabetes | 738 (10.2) |
Obesity | 1846 (25.5) |
Smoking habit | 1465 (20.2) |
Baseline LV mass index, g/m2.7 | 47.2 ± 9.3 |
Baseline left atrial volume index, mL/m2 | 13.2 ± 2.7 |
Baseline ejection fraction, % | 63.1 ± 4.1 |
Baseline stroke volume index, mL/m2.04 | 25.9 ± 3.4 |
Baseline intima media thickness, mm | 1.6 ± 0.7 |
LV hypertrophy | 2761 (38.2) |
Carotid plaque | 3325 (45.9) |
CKD-EPI >3 | 706 (9.8) |
No HMOD | 2580 (35.6) |
One HMOD | 2806 (38.8) |
Two HMOD | 1567 (21.7) |
Three HMOD | 284 (3.9) |
Optimal BP control during the follow-up | 4147 (57.3) |
Mean systolic BP, mmHg during the follow-up | 137.2 ± 12.7 |
Mean diastolic BP, mmHg during the follow-up | 84.2 ± 7.3 |
Mean heart rate | 73.68 ± 8.43 |
MACEs during the follow-up | 351 (4.8) |
Mean METS-IR | 41.4 ± 8.0 |
Number of medications in at least 50% of control visits | 1.7 ± 1.0 |
Anti-renin–angiotensin systema | 5917 (81.8) |
Dihydropyridine calcium channel blockersa | 1891 (26.1) |
Diureticsa | 3150 (43.5) |
Beta-blockersa | 1914 (26.4) |
Anti-platelet therapya | 1313 (18.1) |
Statinsa | 1371 (18.9) |
BP, blood pressure; CKD-EPI, chronic kidney disease epidemiology collaboration; HMOD, hypertension-mediated organ damage; LV, left ventricular.
aMedications used for >50% of control visits.
The average number of visits was 6.15 (±5.40). At baseline, 27% (n = 1987) of patients were already in therapy with a single anti-hypertensive drug, 36% (n = 2640) were under combination therapy, and 37% (n = 2610) were not under any anti-hypertensive drug and were referred to our centre to verify their hypertensive state and start an appropriate therapy. During the follow-up, 32% (n = 2293) were treated with a single anti-hypertensive drug, 55% (n = 3977) received a combination therapy, and 13% (n = 967) continued to not receive any anti-hypertensive drug. The latter group included patients without HMOD and with Grade I hypertension and low cardiovascular risk who received as first instance just lifestyle advice, according to current guidelines.
During the follow-up, MACE occurred in 351 patients with a prevalence rate of 4.8% in the whole study population. The rate of MACE in patients without HMOD was 2.6% (67/2580), 4.7% (132/2806) in patients with one site with HMOD, 7.9% (124/1567) in patients with two sites with HMOD, and 9.8% (28/284) in patients with three districts affected by HMOD (P-value 0 vs. 1 <0.001; 0 vs. 2 <0.001; 0 vs. 3 <0.001; 1 vs. 2 <0.001; 1 vs. 3 <0.001; 2 vs. 3 = 0.309).
By simple Cox regressions (Table 2), MACE was found to be associated with ageing, mean heart rate, mean METS-IR, LV hypertrophy, carotid plaque, CKD-EPI >3, and the number of sites with HMOD, whereas optimal BP control represented a good prognostic factor. Simple Cox models evaluating the effect of coupled combinations of sites with HMOD, including LV hypertrophy + carotid plaque vs. LV hypertrophy + CKD-EPI >3 vs. carotid plaque + CKD-EPI >3, showed a substantially superimposable impact on MACE occurrence. Among therapeutic pharmacological approaches, only renin–angiotensin system inhibitor drugs showed a negative association with the occurrence of MACE during the follow-up, whereas statins, anti-platelet therapy, dihydropyridine calcium channel blockers, and diuretics showed a positive association with MACE.
Table 2.
Univariate simple regression to test the correlations of variables with the occurrence of major adverse cardiovascular events
Variable | HR | 95% CI | P-value |
---|---|---|---|
Sex (female vs. male) | 0.87 | 0.70–1.08 | 0.202 |
Age | 1.06 | 1.05–1.08 | <0.001 |
Obesity | 1.23 | 0.97–1.56 | 0.090 |
Smoking habits | 0.97 | 0.74–1.29 | 0.857 |
Mean heart rate | 0.98 | 0.96–1.00 | 0.011 |
Mean METS-IR | 1.01 | 1.00–1.03 | 0.034 |
BP control | 0.78 | 0.63–0.97 | 0.025 |
Anti-renin–angiotensin system drugs | 0.63 | 0.48–0.83 | <0.001 |
Beta-blockers | 1.24 | 0.99–1.55 | 0.063 |
Dihydropyridine calcium channel blockers | 1.48 | 1.19–1.85 | <0.001 |
Diuretics | 1.27 | 1.03–1.57 | 0.025 |
Statins | 1.38 | 1.03–1.85 | 0.032 |
Anti-platelet therapy | 2.84 | 2.29–3.53 | <0.001 |
LV hypertrophy | 2.04 | 1.66–2.52 | <0.001 |
Carotid plaque | 2.19 | 1.76–2.72 | <0.001 |
CKD-EPI >3 | 1.93 | 1.43–2.60 | <0.001 |
LV hypertrophy + carotid plaque | 1.92 | 1.67–2.21 | <0.001 |
CKD-EPI >3 + carotid plaque | 1.97 | 1.67–2.32 | <0.001 |
LV hypertrophy + CKD-EPI >3 | 1.85 | 1.58–2.17 | <0.001 |
HMOD 1 vs. 0 | 1.78 | 1.33–2.38 | <0.001 |
HMOD 2 vs. 0 | 3.40 | 2.53–4.57 | <0.001 |
HMOD 3 vs. 0 | 5.19 | 3.34–8.05 | <0.001 |
HMOD 2 vs. 1 | 1.91 | 1.49–2.44 | <0.001 |
HMOD 3 vs. 1 | 2.91 | 1.93–4.38 | <0.001 |
HMOD 3 vs. 2 | 1.53 | 1.01–2.30 | 0.044 |
The bold values represent statistical significant difference.
Abbreviations as in Table 1.
Mean METS-IR was significantly lower in patients without HMOD than in those with any HMOD combination [95% confidence interval of mean METS-IR in patients with HMOD = 0 (40,40), HMOD = 1 (41,42), HMOD = 2 (43,44), HMOD = 3 (42,43)]. Mean METS-IR was also significantly higher in patients with two sites with HMOD than in patients with one HMOD district, whereas it did not differ in patients with one vs. three and in those with two vs. three sites with HMOD.
By using multiple Cox regression models (Table 3 and Figure 1) after adjusting for age, BP control, mean heart rate, mean METS-IR, number of sites with HMOD, and drugs, a significant association was confirmed between MACE and ageing, mean METS-IR, anti-platelet therapy, and multiple HMOD sites, with the risk increasing with the number of districts involved also increasing, whereas BP control did not gain entry into the model. On the other hand, renin–angiotensin system inhibitor drugs proved to be the only class of drugs that were negatively associated with MACE occurrence. The adjusted survival plot of the multiple model comparing HMOD absence with its presence in one, two, or three districts showed a decreasing probability in MACE-free survival in patients with an increasing number of districts involved by HMOD. The difference in these survival curves revealed a significant impact of HMOD presence in two and three districts vs. none, and of one vs. two and one vs. three sites with HMOD, whereas the difference between zero vs. one and two vs. three HMOD districts did not reach statistical significance (Figure 2).
Table 3.
Cox regression multivariate model to test the possible predictors of major adverse cardiovascular events in the hypertensive population
Variable | aHR | 95% CI | P-value |
---|---|---|---|
Age | 1.04 | 1.02–1.05 | <0.001 |
BP control | 1.09 | 0.82–1.45 | 0.543 |
Mean heart rate | 0.99 | 0.97–1.01 | 0.534 |
Mean METS-IR | 1.02 | 1.00–1.03 | 0.032 |
Anti-renin–angiotensin system drugs | 0.32 | 0.23–0.44 | <0.001 |
Dihydropyridine calcium channel blockers | 1.11 | 0.83–1.48 | 0.490 |
Diuretics | 0.95 | 0.71–1.26 | 0.701 |
Statins | 0.89 | 0.65–1.22 | 0.468 |
Anti-platelet therapy | 2.20 | 1.62–2.99 | <0.001 |
HMOD 1 vs. 0 | 1.39 | 0.94–2.07 | 0.099 |
HMOD 2 vs. 0 | 2.14 | 1.39–3.31 | <0.001 |
HMOD 3 vs. 0 | 2.61 | 1.39–4.93 | 0.003 |
HMOD 2 vs. 1a | 1.54 | 1.11–2.13 | 0.010 |
HMOD 3 vs. 1a | 1.87 | 1.09–3.24 | 0.024 |
HMOD 3 vs. 2a | 1.22 | 0.72–2.06 | 0.459 |
The bold values represent statistical significant difference.
Abbreviations as in Table 1.
aHR, adjusted hazard ratio.
aThese coefficients were estimated by using separate models.
Figure 1.
Adjusted hazard ratio and 95% confidence interval of parameters associated with major adverse cardiovascular event occurrence. BP, blood pressure; HMOD, hypertension-mediated organ damage; MACE, major adverse cardiovascular event.
Figure 2.
Adjusted major adverse cardiovascular event–free survival plot of the multivariate model presented in Table 3 describing the difference in survival in patients with none (0), one (1), two (2), or three (3) sites with hypertension-mediated organ damage. HMODs, hypertension-mediated organ damage; MACE, major adverse cardiovascular event.
When considering a less broad definition of MACE, 3P-MACE occurred in 125 patients (1.7%) during the follow-up. By simple Cox regressions (see Supplementary material online, Table S1), 3P-MACE resulted in a positive association with ageing, mean heart rate, LV hypertrophy, carotid plaque, CKD-EPI >3, the number of sites with HMOD, anti-platelet therapy, and dihydropyridine calcium channel blockers, whereas it was negatively associated with BP control, female sex, and renin–angiotensin system inhibitor drugs. Metabolic Score for Insulin Resistance did not result in an association with 3P-MACE. In addition, by using a multiple Cox regression model (see Supplementary material online, Table S2), a significant association was confirmed between 3P-MACE and female sex, ageing, anti-platelet therapy, renin–angiotensin system inhibitor drugs, and multiple HMOD sites, while BP control did not gain entry into the model.
Discussion
The present study demonstrates that in a population of hypertensive patients with a long-term follow-up, (i) HMOD extension in terms of the number of involved sites impacts MACE occurrence; (ii) by multiple Cox regression, adjusting for age, BP control, mean heart rate, mean METS-IR, and therapy, the risk of MACE occurrence increases with the incremental number of districts with HMOD, independently of BP control and despite the significant impact of metabolic impairment; and (iii) among anti-hypertensive therapies, only renin–angiotensin system inhibitor drugs show a negative association with MACE occurrence.
Arterial hypertension is a systemic disease, causing functional and structural alterations in multiple organs.4,5,31 Hypertension-mediated organ damage represents the result of the direct and indirect effect of chronic pressure overload, intensified by the harmful impact of additional cardiovascular risk factors possibly coexisting, with a negative impact on cardiovascular prognosis.32 Hypertension-mediated organ damage often clusters together, reflecting the extension of the hypertensive burden.12
In the present study, we found that different expressions of HMOD (LV hypertrophy, carotid plaques, and renal dysfunction) were associated with the rate of MACE occurrence during the follow-up.
By using the Cox regression model after adjusting for age, mean heart rate, mean METS-IR, BP control, the number of sites with HMOD and therapy, the occurrence of MACE was found to be associated with ageing, mean METS-IR, and a wider extension of the hypertensive damage in terms of the higher number of districts with HMOD. The association of ageing with cardiovascular risk and MACE is well documented in the literature.33
Metabolic dysregulation and insulin resistance are well-known prognosticators of cardiovascular risk, even when expressed in terms of METS-IR.34,35 Metabolic Score for Insulin Resistance represents a validated index for the evaluation of insulin resistance.20 In the present study, we demonstrated that metabolic dysregulation in terms of mean METS-IR was related to the occurrence of MACE in a hypertensive population.
More importantly, we showed that the presence of multiple sites with HMOD could impact MACE occurrence independently of optimal BP control and despite the significant impact of metabolic impairment.
Indeed, BP control, even if having a positive impact on cardiovascular events in the simple model, was not associated with the occurrence of MACE in the multiple Cox regression model. This phenomenon entails that in hypertensive patients with a severe degree of HMOD, BP control could no longer be the crucial player in the development of MACE, since in these conditions, HMOD represents itself a determinant for the occurrence of events. Thus, when HMOD is extensive and involves multiple sites, cardiovascular injury is automatically boosted and it could act itself as an independent risk factor for the development of MACE occurrence. Our conclusions are also supported by considering the model with 3P-MACE, where female gender was additionally protective for cardiovascular events, whereas metabolic control, in terms of METS-IR, did not.
We demonstrate that the increasing number of districts involved in the hypertensive disease impacts on cardiovascular prognosis by favouring MACE occurrence. Previous studies showed a higher risk of MACE and death in patients affected by LV hypertrophy and microalbuminuria, and increased rate of cerebrovascular events in patients presenting carotid plaques.36,37 In addition, the simultaneous presence of LV hypertrophy and renal dysfunction was associated with an increased MACE rate than observed when only one of the two sites with HMOD was involved.38
As also evident from the survival curves in Figure 2, the presence of at least two sites with HMOD vs. the absence of HMOD represents a major shift in terms of MACE-free survival impairment, reflecting the extent of AH-mediated detrimental effect. Thus, multiple districts involved by HMOD represent a significant cardiovascular risk for the occurrence of MACE, with a progressively higher risk with an increase in the number of affected sites.
The effect of the absence vs. the presence of one site with HMOD on MACE was not statistically significant in the multiple Cox model, probably reflecting an early stage of hypertensive injury, without the involvement of multiple districts. On the other hand, the impact of two vs. three sites with HMOD on MACE did not attain statistical significance in the multivariate Cox regression model, probably on the account of the relatively small sample of patients in the group with three sites affected by HMOD, when compared with the number of patients present in the other three groups. Nonetheless, there is a trend in increasing percentage of MACE in hypertensive groups when moving either from zero to one (2.6 vs. 4.7%) or from two to three sites with HMOD (7.9 vs. 9.8%) in the hypertensive groups.
Furthermore, with regard to therapeutic approaches, the association between anti-platelet therapy and MACE occurrence could be linked to a possible confounding by indication and is likely due to a more frequent administration of this class of drugs in patients with worse clinical conditions related to endothelial dysfunction and exacerbated atherosclerotic process induced by AH in combination with other risk factors.39,40 In contrast, only anti-renin–angiotensin system drugs were found to have a significant negative association with MACE, thus helping to prevent their occurrence.
Our results suggest, in hypertensive patients with multiple districts involved by HMOD, the possible activation of further mechanisms triggered by AH in association with other cardiovascular risk factors and metabolic dysregulation, perpetuating hypertensive disease progression even in the presence of BP control, thus transforming HMOD from the consequence of risk factors into a risk factor per se.
We could speculate that one common denominator of the ongoing cardiovascular impairment may be represented by the activation of an inflammatory response, elicited by pressure overload, and maintained by bioactive molecules released in response to structural changes related to the establishment of HMOD.41,42 It is well known, for instance, that once carotid plaques are shaped, they produce chemotactic and pro-inflammatory molecules, which, by a vicious path, may be responsible for cerebrovascular events.43–45 In addition, recent evidence highlights that a ‘residual risk’ exists, since several patients continue to suffer from cardiovascular events despite optimal medical therapy and achievement of clinical targets.46 Such evidence suggests that this ‘residual inflammatory risk’ could represent an important pharmacologic target.46,47
This hypothesis may be corroborated by the observation that renin–angiotensin system inhibitor drugs, interestingly, had a negative association with MACE occurrence. Indeed, this class of medications was demonstrated to provide an anti-inflammatory and immunomodulatory effect, by regulating free radical production and cellular synthesis of cytokines, chemokines, and transcription factors, which also results in positive cardiac and vascular remodelling.48,49 In addition, anti-renin–angiotensin system therapy was demonstrated to also have an impact on the areas of the brain, empowering its effect in modulating the immune response to the hypertensive stimuli and its related damage.50
Of course, the control of cardiovascular risk factors is important as a strategy for preventing first-line functional and structural cardiovascular injury,4 but, as suggested by the current study, it could not be enough to reduce the burden of MACE occurrence when multiple sites affected by HMOD are concomitantly recruited. Therefore, the presence of HMOD and its extension can represent a predictor of MACE occurrence, thus affecting patient prognosis.
Further studies are needed to investigate whether other mechanisms recruited by organ injury, such as enhanced inflammation, could be the target of therapeutic approaches reducing HMOD impact on MACE occurrence in hypertensive patients.
Limitations
Our results derive from a retrospective study, based on an observational registry. However, the design of a randomized trial for the evaluation of MACE occurrence in patients with and without BP control would be ideal but not ethically appropriate, considering that multiple evidence had highlighted the importance of aiming at early BP control as a prompt approach to reduce the risk of HMOD formation as a progression of hypertensive disease and MACE evolution.4,51,52 Thus, the employment of an observational real-life registry as the present one could still provide important information under these circumstances.
The present study was performed on a hypertensive population followed up for a limited period. A longer follow-up period could have strengthened the outcomes and results of the present study.
Further sites of HMOD were not investigated in the present study, such as retinopathy or brain magnetic resonance abnormalities. Nonetheless, LV hypertrophy, carotid plaques, and renal impairment seem to provide an enough comprehensive scenario for the extension of HMOD.
Additional preclinical echocardiographic parameters preceding HMOD, such as LV global longitudinal strain, were not explored for the evaluation of LV systolic function, but the main focus of the study was the evaluation of established HMOD and their extension as possible predictors of MACE. Another limitation is the lack of information about inflammatory markers that could possibly support our hypothesis of the role of inflammation in the progression of HMOD and its translation into a risk factor for the occurrence of events. However, the association between inflammation and HMOD is well documented in the literature.41
Supplementary Material
Acknowledgements
L.B. is supported by the International PhD programme in Cardiovascular Pathophysiology and Therapeutics, CardioPaTh.
Contributor Information
Maria Lembo, Department of Advanced Biomedical Sciences, Federico II University of Naples, Via S. Pansini 5, 80131 Napoli, Italy.
Daniela Pacella, Department of Public Health, ‘Federico II’ University, Via S. Pansini 5, 80131 Napoli, Italy.
Maria Virginia Manzi, Department of Advanced Biomedical Sciences, Federico II University of Naples, Via S. Pansini 5, 80131 Napoli, Italy.
Carmine Morisco, Department of Advanced Biomedical Sciences, Federico II University of Naples, Via S. Pansini 5, 80131 Napoli, Italy.
Lucia La Mura, Department of Advanced Biomedical Sciences, Federico II University of Naples, Via S. Pansini 5, 80131 Napoli, Italy.
Costantino Mancusi, Department of Advanced Biomedical Sciences, Federico II University of Naples, Via S. Pansini 5, 80131 Napoli, Italy.
Luca Bardi, Department of Advanced Biomedical Sciences, Federico II University of Naples, Via S. Pansini 5, 80131 Napoli, Italy.
Valentina Trimarco, Department of Neuroscience, Reproductive Sciences and Dentistry, ‘Federico II’ University, Via S. Pansini 5, 80131 Napoli, Italy.
Bruno Trimarco, International Translational Research and Medical Education (ITME) Consortium, 80131 Naples, Italy.
Raffaele Izzo, Department of Advanced Biomedical Sciences, Federico II University of Naples, Via S. Pansini 5, 80131 Napoli, Italy.
Giovanni Esposito, Department of Advanced Biomedical Sciences, Federico II University of Naples, Via S. Pansini 5, 80131 Napoli, Italy.
Conclusions
In a population of hypertensive patients, the presence of multiple sites affected by HMOD could represent not only the result of the impact of risk factors on the cardiovascular system but a risk factor per se for MACE occurrence, despite the significant association with metabolic impairment and independently of BP control. In hypertensive patients with HMOD, therapy with the anti-renin–angiotensin system could improve cardiovascular prognosis, providing a potential protective effect on the occurrence of MACE.
Lead author biography
Maria Lembo, MD, PhD, is a clinical cardiologist and researcher at the Department of Advanced Biomedical Sciences, Federico II University of Naples, Italy. She has focused her research activity on the application of standard and advanced cardiovascular imaging methods, particularly for the assessment of cardiovascular organ damage in multiple settings, including hypertensive heart disease. This activity is testified by a valid scientific production and participation as speaker at national and international conferences. Currently, she also collaborates with the British Heart Foundation Centre of Cardiovascular Science of Edinburgh, UK, on the topic of non-invasive cardiac imaging.
Data availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Supplementary material
Supplementary material is available at European Heart Journal Open online.
Funding
This work was supported by Italian Ministry of Health for project: New multimodal CArdioREspiratory MOnitoring DEvice to improve chronic patient management (CARE-MODE) (PNRR-POC-2022-12376833).
References
- 1. Cameli M, Lembo M, Sciaccaluga C, Bandera F, Ciccone MM, D’Andrea A, D'Ascenzi F, Esposito R, Evola V, Liga R, Mandoli GE, Palmiero P, Santoro C, Scicchitano P, Sorrentino R, Zito A, Pedrinelli R, Mondillo S, Mattioli AV, Galderisi M; Working Groups of Echocardiography and Arterial Hypertension of Italian Society of Cardiology (SIC) . Identification of cardiac organ damage in arterial hypertension: insights by echocardiography for a comprehensive assessment. J Hypertens 2020;38:588–598. [DOI] [PubMed] [Google Scholar]
- 2. Lembo M, Manzi MV, Mancusi C, Morisco C, Rao MAE, Cuocolo A, Izzo R, Trimarco B. Advanced imaging tools for evaluating cardiac morphological and functional impairment in hypertensive disease. J Hypertens 2022;40:4–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Lembo M, Santoro C, Sorrentino R, Trimarco B, Galderisi M, Esposito R. Impact of left ventricular mass/end-diastolic volume ratio by three-dimensional echocardiography on two-dimensional global longitudinal strain and diastolic function in native hypertensive patients. J Hypertens 2019;37:2041–2047. [DOI] [PubMed] [Google Scholar]
- 4. Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M, Clement DL, Coca A, de Simone G, Dominiczak A, Kahan T, Mahfoud F, Redon J, Ruilope L, Zanchetti A, Kerins M, Kjeldsen SE, Kreutz R, Laurent S, Lip GYH, McManus R, Narkiewicz K, Ruschitzka F, Schmieder RE, Shlyakhto E, Tsioufis C, Aboyans V, Desormais I; ESC Scientific Document Group . 2018 ESC/ESH guidelines for the management of arterial hypertension. Eur Heart J 2018;39:3021–3104. [DOI] [PubMed] [Google Scholar]
- 5. Roman MJ, Pickering TG, Schwartz JE, Pini R, Devereux RB. Association of carotid atherosclerosis and left ventricular hypertrophy. J Am Coll Cardiol 1995;25:83–90. [DOI] [PubMed] [Google Scholar]
- 6. Pontremoli R, Ravera M, Bezante GP, Viazzi F, Nicolella C, Berruti V, Leoncini G, Del Sette M, Brunelli C, Tomolillo C, Deferrari G. Left ventricular geometry and function in patients with essential hypertension and microalbuminuria. J Hypertens 1999;17:993–1000. [DOI] [PubMed] [Google Scholar]
- 7. Zhou MS, Wang A, Yu H. Link between insulin resistance and hypertension: what is the evidence from evolutionary biology? Diabetol Metab Syndr 2014;6:12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Julius S, Kjeldsen SE, Weber M, Brunner HR, Ekman S, Hansson L, Hua T, Laragh J, McInnes GT, Mitchell L, Plat F, Schork A, Smith B, Zanchetti A; VALUE Trial Group . Outcomes in hypertensive patients at high cardiovascular risk treated with regimens based on valsartan or amlodipine: the VALUE randomised trial. Lancet 2004;363:2022–2031. [DOI] [PubMed] [Google Scholar]
- 9. ALLHAT Officers and Coordinators for the ALLHAT Collaborative Research Group. The Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial . Major outcomes in high-risk hypertensive patients randomized to angiotensin-converting enzyme inhibitor or calcium channel blocker vs diuretic: the Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT). JAMA 2002;288:2981–2997. [DOI] [PubMed] [Google Scholar]
- 10. Sehestedt T, Jeppesen J, Hansen TW, Wachtell K, Ibsen H, Torp-Pedersen C, Hildebrandt P, Olsen MH. Risk prediction is improved by adding markers of subclinical organ damage to SCORE. Eur Heart J 2010;31:883–891. [DOI] [PubMed] [Google Scholar]
- 11. Harbaoui B, Courand PY, Defforges A, Khettab F, Milon H, Girerd N, Lantelme P. Cumulative effects of several target organ damages in risk assessment in hypertension. Am J Hypertens 2016;29:234–244. [DOI] [PubMed] [Google Scholar]
- 12. Vasan RS, Song RJ, Xanthakis V, Beiser A, DeCarli C, Mitchell GF, Seshadri S. Hypertension-mediated organ damage: prevalence, correlates, and prognosis in the community. Hypertension 2022;79:505–515. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Trimarco V, Izzo R, Morisco C, Mone P, Virginia Manzi M, Falco A, Pacella D, Gallo P, Lembo M, Santulli G, Trimarco B. High HDL (high-density lipoprotein) cholesterol increases cardiovascular risk in hypertensive patients. Hypertension 2022;79:2355–2363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Mancusi C, Manzi MV, de Simone G, Morisco C, Lembo M, Pilato E, Izzo R, Trimarco V, De Luca N, Trimarco B. Carotid atherosclerosis predicts blood pressure control in patients with hypertension: the Campania Salute Network registry. J Am Heart Assoc 2022;11:e022345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Lembo M, Trimarco V, Manzi MV, Mancusi C, Esposito G, Esposito S, Morisco C, Izzo R, Trimarco B. Determinants of improvement of left ventricular mechano-energetic efficiency in hypertensive patients. Front Cardiovasc Med 2022;9:977657. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Manzi MV, Mancusi C, Lembo M, Esposito G, Rao MAE, de Simone G, Morisco C, Trimarco V, Izzo R, Trimarco B. Low mechano-energetic efficiency is associated with future left ventricular systolic dysfunction in hypertensives. ESC Heart Fail 2022;9:2291–2300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Lembo M, Esposito R, Lo Iudice F, Santoro C, Izzo R, De Luca N, Trimarco B, de Simone G, Galderisi M. Impact of pulse pressure on left ventricular global longitudinal strain in normotensive and newly diagnosed, untreated hypertensive patients. J Hypertens 2016;34:1201–1207. [DOI] [PubMed] [Google Scholar]
- 18. American Diabetes Association . 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2019. Diabetes Care 2019;42:S13–S28. [DOI] [PubMed] [Google Scholar]
- 19. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF III, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J; CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) . A new equation to estimate glomerular filtration rate. Ann Intern Med 2009;150:604–612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Bello-Chavolla OY, Almeda-Valdes P, Gomez-Velasco D, Viveros-Ruiz T, Cruz-Bautista I, Romo-Romo A, Sanchez-Lazaro D, Meza-Oviedo D, Vargas-Vazquez A, Campos OA, Sevilla-Gonzalez MDR, Martagon AJ, Hernandez LM, Mehta R, Caballeros-Barragan CR, Aguilar-Salinas CA. METS-IR, a novel score to evaluate insulin sensitivity, is predictive of visceral adiposity and incident type 2 diabetes. Eur J Endocrinol 2018;178:533–544. [DOI] [PubMed] [Google Scholar]
- 21. Galderisi M, Cosyns B, Edvardsen T, Cardim N, Delgado V, Di Salvo G, Donal E, Sade LE, Ernande L, Garbi M, Grapsa J, Hagendorff A, Kamp O, Magne J, Santoro C, Stefanidis A, Lancellotti P, Popescu B, Habib G; 2016–2018 EACVI Scientific Documents Committee, 2016–2018 EACVI Scientific Documents Committee . Standardization of adult transthoracic echocardiography reporting in agreement with recent chamber quantification, diastolic function, and heart valve disease recommendations: an expert consensus document of the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging 2017;18:1301–1310. [DOI] [PubMed] [Google Scholar]
- 22. Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L, Flachskampf FA, Foster E, Goldstein SA, Kuznetsova T, Lancellotti P, Muraru D, Picard MH, Rietzschel ER, Rudski L, Spencer KT, Tsang W, Voigt JU. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J Am Soc Echocardiogr 2015;28:1–39.e14. [DOI] [PubMed] [Google Scholar]
- 23. Petitto M, Esposito R, Sorrentino R, Lembo M, Luciano F, De Roberto AM, La Mura L, Pezzullo E, Maffei S, Galderisi M, Lancellotti P. Sex-specific echocardiographic reference values: the women's point of view. J Cardiovasc Med (Hagerstown) 2018;19:527–535. [DOI] [PubMed] [Google Scholar]
- 24. Perrone-Filardi P, Coca A, Galderisi M, Paolillo S, Alpendurada F, de Simone G, Donal E, Kahan T, Mancia G, Redon J, Schmieder R, Williams B, Agabiti-Rosei E. Non-invasive cardiovascular imaging for evaluating subclinical target organ damage in hypertensive patients: a consensus paper from the European Association of Cardiovascular Imaging (EACVI), the European Society of Cardiology Council on Hypertension, and the European Society of Hypertension (ESH). Eur Heart J Cardiovasc Imaging 2017;18:945–960. [DOI] [PubMed] [Google Scholar]
- 25. Lembo M, Santoro C, Sorrentino R, Canonico ME, Fazio V, Trimarco B, Tadic M, Galderisi M, Esposito R. Interrelation between midwall mechanics and longitudinal strain in newly diagnosed and never-treated hypertensive patients without clinically defined hypertrophy. J Hypertens 2020;38:295–302. [DOI] [PubMed] [Google Scholar]
- 26. Lembo M, Santoro C, Sorrentino R, Fazio V, Canonico ME, Chiariello L, Galderisi M, Esposito R. Prominent basal and middle strain longitudinal involvement in newly-diagnosed and never treated hypertensive patients without clear-cut hypertrophy. Int J Cardiol 2020;304:179–184. [DOI] [PubMed] [Google Scholar]
- 27. Lembo M, Esposito R, Santoro C, Lo Iudice F, Schiano-Lomoriello V, Fazio V, Grimaldi MG, Trimarco B, de Simone G, Galderisi M. Three-dimensional echocardiographic ventricular mass/end-diastolic volume ratio in native hypertensive patients: relation between stroke volume and geometry. J Hypertens 2018;36:1697–1704. [DOI] [PubMed] [Google Scholar]
- 28. De Marco M, Gerdts E, Mancusi C, Roman MJ, Lonnebakken MT, Lee ET, Howard BV, Devereux RB, de Simone G. Influence of left ventricular stroke volume on incident heart failure in a population with preserved ejection fraction (from the strong heart study). Am J Cardiol 2017;119:1047–1052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Tufano A, Lembo M, Di Minno MN, Nardo A, Esposito R, Santoro C, Buonauro A, Cerbone AM, Di Minno G, Galderisi M. Left ventricular diastolic abnormalities other than valvular heart disease in antiphospholipid syndrome: an echocardiographic study. Int J Cardiol 2018;271:366–370. [DOI] [PubMed] [Google Scholar]
- 30. Canciello G, de Simone G, Izzo R, Giamundo A, Pacelli F, Mancusi C, Galderisi M, Trimarco B, Losi MA. Validation of left atrial volume estimation by left atrial diameter from the parasternal long-axis view. J Am Soc Echocardiogr 2017;30:262–269. [DOI] [PubMed] [Google Scholar]
- 31. Carnevale L, Maffei A, Landolfi A, Grillea G, Carnevale D, Lembo G. Brain functional magnetic resonance imaging highlights altered connections and functional networks in patients with hypertension. Hypertension 2020;76:1480–1490. [DOI] [PubMed] [Google Scholar]
- 32. Sousa AC, Jardim TV, Costa TO, Magalhaes FG, Montelo MPM, Souza WKB, Jardim P, Sousa ALL. Hypertensive diabetic patients: incidence of cardiovascular and renal outcomes in a historical cohort over 11 years. Diabetol Metab Syndr 2017;9:98. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Rodgers JL, Jones J, Bolleddu SI, Vanthenapalli S, Rodgers LE, Shah K, Karia K, Panguluri SK. Cardiovascular risks associated with gender and aging. J Cardiovasc Dev Dis 2019;6:19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Guembe MJ, Fernandez-Lazaro CI, Sayon-Orea C, Toledo E, Moreno-Iribas C, Investigators RS. Risk for cardiovascular disease associated with metabolic syndrome and its components: a 13-year prospective study in the RIVANA cohort. Cardiovasc Diabetol 2020;19:195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Yoon J, Jung D, Lee Y, Park B. The metabolic score for insulin resistance (METS-IR) as a predictor of incident ischemic heart disease: a longitudinal study among Korean without diabetes. J Pers Med 2021;11:742. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Wachtell K, Ibsen H, Olsen MH, Borch-Johnsen K, Lindholm LH, Mogensen CE, Dahlof B, Devereux RB, Beevers G, de Faire U, Fyhrquist F, Julius S, Kjeldsen SE, Kristianson K, Lederballe-Pedersen O, Nieminen MS, Okin PM, Omvik P, Oparil S, Wedel H, Snapinn SM, Aurup P. Albuminuria and cardiovascular risk in hypertensive patients with left ventricular hypertrophy: the LIFE study. Ann Intern Med 2003;139:901–906. [DOI] [PubMed] [Google Scholar]
- 37. Lu M, Peng P, Cui Y, Qiao H, Li D, Cai J, Zhao X. Association of progression of carotid artery wall volume and recurrent transient ischemic attack or stroke: a magnetic resonance imaging study. Stroke 2018;49:614–620. [DOI] [PubMed] [Google Scholar]
- 38. Carpinella G, Pagano G, Buono F, Petitto M, Guarino G, Orefice G, Rengo G, Trimarco B, Morisco C. Prognostic value of combined target-organ damage in patients with essential hypertension. Am J Hypertens 2015;28:127–134. [DOI] [PubMed] [Google Scholar]
- 39. Lembo M, Sicari R, Esposito R, Rigo F, Cortigiani L, Lo Iudice F, Picano E, Trimarco B, Galderisi M. Association between elevated pulse pressure and high resting coronary blood flow velocity in patients with angiographically normal epicardial coronary arteries. J Am Heart Assoc 2017;6:e005710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Zhou W, Brown JM, Bajaj NS, Chandra A, Divakaran S, Weber B, Bibbo CF, Hainer J, Taqueti VR, Dorbala S, Blankstein R, Adler D, O’Gara P, Di Carli MF. Hypertensive coronary microvascular dysfunction: a subclinical marker of end organ damage and heart failure. Eur Heart J 2020;41:2366–2375. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. McMaster WG, Kirabo A, Madhur MS, Harrison DG. Inflammation, immunity, and hypertensive end-organ damage. Circ Res 2015;116:1022–1033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Fletcher AJ, Tew YY, Tzolos E, Joshi SS, Kaczynski J, Nash J, Debono S, Lembo M, Kwiecinski J, Bing R, Syed MBJ, Doris MK, van Beek EJR, Moss AJ, Jenkins WS, Walker NL, Joshi NV, Pawade TA, Adamson PD, Whiteley WN, Wardlaw JM, Slomka PJ, Williams MC, Newby DE, Dweck MR. Thoracic aortic (18)F-sodium fluoride activity and ischemic stroke in patients with established cardiovascular disease. JACC Cardiovasc Imaging 2022;15:1274–1288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Poredos P, Gregoric ID, Jezovnik MK. Inflammation of carotid plaques and risk of cerebrovascular events. Ann Transl Med 2020;8:1281. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Mohanta SK, Peng L, Li Y, Lu S, Sun T, Carnevale L, Perrotta M, Ma Z, Forstera B, Stanic K, Zhang C, Zhang X, Szczepaniak P, Bianchini M, Saeed BR, Carnevale R, Hu D, Nosalski R, Pallante F, Beer M, Santovito D, Erturk A, Mettenleiter TC, Klupp BG, Megens RTA, Steffens S, Pelisek J, Eckstein HH, Kleemann R, Habenicht L, Mallat Z, Michel JB, Bernhagen J, Dichgans M, D’Agostino G, Guzik TJ, Olofsson PS, Yin C, Weber C, Lembo G, Carnevale D, Habenicht AJR. Neuroimmune cardiovascular interfaces control atherosclerosis. Nature 2022;605:152–159. [DOI] [PubMed] [Google Scholar]
- 45. Kisialiou A, Grella R, Carrizzo A, Pelone G, Bartolo M, Zucchella C, Rozza F, Grillea G, Colonnese C, Formisano L, Lembo M, Puca AA, Vecchione C. Risk factors and acute ischemic stroke subtypes. J Neurol Sci 2014;339:41–46. [DOI] [PubMed] [Google Scholar]
- 46. Aday AW, Ridker PM. Targeting residual inflammatory risk: a shifting paradigm for atherosclerotic disease. Front Cardiovasc Med 2019;6:16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Ridker PM, Everett BM, Thuren T, MacFadyen JG, Chang WH, Ballantyne C, Fonseca F, Nicolau J, Koenig W, Anker SD, Kastelein JJP, Cornel JH, Pais P, Pella D, Genest J, Cifkova R, Lorenzatti A, Forster T, Kobalava Z, Vida-Simiti L, Flather M, Shimokawa H, Ogawa H, Dellborg M, Rossi PRF, Troquay RPT, Libby P, Glynn RJ; CANTOS Trial Group . Antiinflammatory therapy with canakinumab for atherosclerotic disease. N Engl J Med 2017;377:1119–1131. [DOI] [PubMed] [Google Scholar]
- 48. Capettini LS, Montecucco F, Mach F, Stergiopulos N, Santos RA, da Silva RF. Role of renin-angiotensin system in inflammation, immunity and aging. Curr Pharm Des 2012;18:963–970. [DOI] [PubMed] [Google Scholar]
- 49. Nehme A, Zibara K. Efficiency and specificity of RAAS inhibitors in cardiovascular diseases: how to achieve better end-organ protection? Hypertens Res 2017;40:903–909. [DOI] [PubMed] [Google Scholar]
- 50. Perrotta M, Carnevale D. Brain areas involved in modulating the immune response participating in hypertension and its target organ damage. Antioxid Redox Signal 2021;35:1515–1530. [DOI] [PubMed] [Google Scholar]
- 51. Group SR, Wright JT Jr, Williamson JD, Whelton PK, Snyder JK, Sink KM, Rocco MV, Reboussin DM, Rahman M, Oparil S, Lewis CE, Kimmel PL, Johnson KC, Goff DC Jr, Fine LJ, Cutler JA, Cushman WC, Cheung AK, Ambrosius WT. A randomized trial of intensive versus standard blood-pressure control. N Engl J Med 2015;373:2103–2116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Beckett N, Peters R, Leonetti G, Duggan J, Fagard R, Thijs L, Narkiewicz K, McCormack T, Banya W, Fletcher A, Bulpitt C; HYVET Study Group . Subgroup and per-protocol analyses from the hypertension in the very elderly trial. J Hypertens 2014;32:1478–1487; discussion 1487. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.