1 Introduction
Cardiovascular diseases (CVD), including coronary heart disease and stroke, represent the leading cause of death from non-communicable diseases worldwide, trespassing 18.6 millions deaths in the year 2019, meaning around one third of total deaths globally [
1]. It was estimated that, only in the US, around 1.2–2.0 million major CVD events could potentially be prevented on a yearly basis if the adult population attained moderate to high cardiovascular health, respectively [
2].
Several factors, both modifiable and unmodifiable, contribute to this burden of disease in a fashion that differs among countries [
3]. The increasing population aging and the sexually dimorphic susceptibility to CVD through life stages explain part of the observed epidemiological trend [
4,
5]. Then, tobacco smoke, high blood pressure (BP), and dyslipidaemia concur in the exacerbation of the individual risk profile [
3,
5].
Hypertension is a major contributor to CVD-related disability and mortality [
6]. Recent evidence has substantially changed the approach to hypertension management for cardiovascular prevention. Indeed, while the previous European Guidelines [
7] placed more permissive target pressures in treated patients over 65 years of age, the new guidelines for cardiovascular prevention [
5] have changed the definition of the elderly, resulting in the application of more stringent target pressures in treated patients aged 65–70 years in the absence of chronic kidney disease (CKD) [
5]. In parallel, also the prediction model of risk assessment of future cardiovascular events was recently updated (SCORE2), replacing total cholesterol with non-HDL cholesterol among the evaluation parameters, introducing different algorithms available for four distinct European risk regions, and expanding the assessable population with the elderly population over 70 (SCORE2-OP). The ultimate goal of this update was to improve reliability of risk assessment of fatal and non-fatal future cardiovascular events considering the epidemiological changes across European regions [
8]. Therefore, the aim of this data review is to evaluate the evolution of cardiovascular risk in hypertensive patients in the light of the updated cardiovascular risk stratification and the new antihypertensive treatment targets. For this purpose, we chose to retrospectively reassess the population previously involved in the Italian observational study
Save Your Heart [
9].
4 Discussion
The main objective of this analysis was to assess the evolution of cardiovascular risk in a hypertensive population in the light of the new European guidelines on prevention in clinical practice [
5]. As expected, the updating of the BP targets and the application of the new SCORE2 algorithm revealed a more severe cardiovascular risk and worse hypertension control in the hypertensive population on treatment, previously involved in the
Save Your Heart study. In particular, considering the results obtained in this data review, an increase of almost 80% of cases at high or very high risk in comparison with the
Save Your Heart study was reported. In parallel, the application of the novel recommended BP targets, which raised the upper age limit for the achievement of optimal goals from 65 to 70 years, confirmed the presence of a large percentage of individuals out of BP targets (69.7%) despite the antihypertensive treatment. Specifically, data review revealed a trend towards a decreased control rate, mostly attributable to men. In fact, unlike what was observed when the 2018 ESC/ESH targets were applied, women were more likely than men to achieve hypertension control based on the updated targets. Also, as expected, a decrease in hypertension control rates was observed with the transition from individuals at low-to-moderate risk towards those at high and very high 10-year risk for cardiovascular events.
Undoubtedly, the obvious reclassification of a larger proportion of study participants as at higher risk as compared with the previous scoring system reflects the inclusion in SCORE2 of risk estimates for nonfatal events. By accounting for the burden of disease in survivors, this change reflects a wide range of socioeconomic implications encompassing disability, quality of life deterioration, caregivers’ exhaustion, and healthcare systems expenditures, thereby conceptually emphasising the already mandatory need for a widespread and effective cardiovascular risk reduction.
Essentially, this analysis confirms the importance of developing and implementing evidence-based preventive and therapeutic approaches to health surveillance and monitoring to prevent inadequately controlled cardiovascular risk factors from contributing critically to increase the overall morbidity and mortality burden.
Similarly, recent real-world data from an Italian nationwide cross-sectional survey on individuals aged 65 years and above, including participants with treated hypertension, showed that a considerable proportion of the latter failed to achieve BP control and was therefore reclassified as having uncontrolled hypertension according to the more stringent goal that was applicable based on their age [
13], in agreement with previous reports [
14]. The optimization of treatment targets and risk scoring systems according to individuals’ features customises the approach to and the management of risk factors, with the ultimate goal of reducing the burden of disease through a timely and tailored intervention. The observation that a considerable part of the examined population is at high and very high CVD risk and fails to achieve the desirable BP goals raises a warning against therapeutic inertia, rather emphasising the need to avoid undertreatment to achieve higher lifetime benefit, even at an advanced age [
4].
Pharmacological treatments can substantially reduce cardiovascular morbidity and mortality, but the effectiveness of such interventions is limited in the case of non-adherence or early discontinuation of therapy. The European guidelines themselves recommend a diagnostic-therapeutic approach, customised for the individual characteristics of these complex patients and obviously takes into account their cardiovascular risk over time. To counteract therapeutic inertia and increase patient adherence, the follow-up of patients, the update and, where possible, the simplification of therapy is fundamental, especially in elderly individuals and/or those undergoing multiple pharmacological treatments.
Sex-based factors, including sex hormones, have a prominent role in hypertension, as supported by the observation of lower BP in premenopausal women and steeper increases in both systolic BP and pulse pressure in postmenopausal women compared with age-matched men [
15,
16]. While incident hypertension occurs at faster rates in women than men after middle age [
17], women usually show better BP control compared with men [
18], although age disparities have been reported. For instance, according to a cross sectional analysis of US primary care clinics, women aged 65–80 years were less likely than men to have controlled hypertension, despite multivariate adjustment [
19]. According to our data, more women than men, including those aged 65 years and above, achieved BP values below the recommended target. Women also carried a lower burden of concomitant risk factors and related diseases. Thus, a combination of hormonal, genetic, and environmental factors are likely to contribute to our observations.
This analysis is not without limitations. Age was collected as a categorical variable above the age of 70 years, thus conditioning the estimation of SCORE2 for older persons (SCORE2-OP [
20]). Moreover, limitations of the present data review are, substantially the same of
Save Your Heart study, which can be attributed to the lack of statistical adjustments for sex, age and years of diagnosis and to the fact that other factors were not taken into account, particularly behavioural factors that would have been difficult to measure objectively. Furthermore, all clinical parameters were derived from self-analyses and the biological parameters were obtained from capillary blood samples.