There are those who would like zero LDL cholesterol.

The overwhelming evidence that the reduction of LDL cholesterol (LDLc) levels is associated with a parallel reduction in cardiovascular (CV) risk has led the scientific community to progressively and constantly reduce the optimal therapeutic targets of LDLc, both in patients with known CV disease and in patients undergoing primary prevention. The recent introduction of proprotein convertase subtilisin/kexin type 9 inhibitors has allowed clinicians to observe reductions in LDLc levels that go well beyond the limits set by the main international guidelines; following the 'the lower the better' paradigm, it is natural to ask how low LDLc can be reduced, whether this intervention is associated with a further reduction in CV risk and, above all, whether there are no issues related to safety in the use of polypharmacotherapies that determine an extreme reduction in LDLc levels. The purpose of this article is to summarize the main scientific evidence on the topic, trying to provide an answer to all clinicians who 'would like their LDLc to be-almost-zero'.

Comparison Between a Single-Lead ECG Garment Device and a Holter Monitor: A Signal Quality Assessment.

Wearable electronics are increasingly common and useful as health monitoring devices, many of which feature the ability to record a single-lead electrocardiogram (ECG). However, recording the ECG commonly requires the user to touch the device to complete the lead circuit, which prevents continuous data acquisition. An alternative approach to enable continuous monitoring without user initiation is to embed the leads in a garment. This study assessed ECG data obtained from the YouCare device (a novel sensorized garment) via comparison with a conventional Holter monitor. A cohort of thirty patients (age range: 20-82 years; 16 females and 14 males) were enrolled and monitored for twenty-four hours with both the YouCare device and a Holter monitor. ECG data from both devices were qualitatively assessed by a panel of three expert cardiologists and quantitatively analyzed using specialized software. Patients also responded to a survey about the comfort of the YouCare device as compared to the Holter monitor. The YouCare device was assessed to have 70% of its ECG signals as "Good", 12% as "Acceptable", and 18% as "Not Readable". The R-wave, independently recorded by the YouCare device and Holter monitor, were synchronized within measurement error during 99.4% of cardiac cycles. In addition, patients found the YouCare device more comfortable than the Holter monitor (comfortable 22 vs. 5 and uncomfortable 1 vs. 18, respectively). Therefore, the quality of ECG data collected from the garment-based device was comparable to a Holter monitor when the signal was sufficiently acquired, and the garment was also comfortable.

Capsular Warning Syndrome: Features, Risk Profile, and Prognosis in a Large Prospective TIA Cohort.

INTRODUCTION: Features and prognosis of capsular warning syndrome (CWS) have been poorly investigated prospectively. AIMS: The study aimed to characterize CWS clinical features, risk profile, short- and long-term prognosis, among a large TIA cohort. METHODS: Prospective cohort study of consecutive TIAs was conducted from August 1, 2010, to December 31, 2017. Demographic and clinical characteristics, risk profile, primary (stroke and composite outcome) and secondary (TIA recurrence, cerebral hemorrhage, new onset atrial fibrillation) outcomes were compared between CWS, lacunar (L), and nonlacunar (NL) TIAs. RESULTS: 1,035 patients (33 CWS, 189 L-TIAs, 813 NL-TIAs) were enrolled. Newly diagnosed (ND) hypertension, hypercholesterolemia, cigarette smoking, and leukoaraiosis were independent risk factors of CWS (p < 0.05). CWS showed the highest stroke (30.3% vs. 0.5% and 1.5% for L-TIAs and NL-TIAs, respectively) and composite outcome risk at follow-up (p < 0.001), but better 3-month post-stroke prognosis (mRS 0-2 90.0% vs. 36.8%; p = 0.002). CWS-related stroke mostly occurred <48 h (80.0%) and had a small vessel occlusion etiology (100%), affecting more often the internal capsule (60.0%). Dual antiplatelet therapy (DAPT) versus single antiplatelet therapy was associated with lower 3-month cumulative stroke incidence (12.5% vs. 57.1%; p = 0.010). Intravenous thrombolysis (IVT) showed similar 3-month efficacy and safety in strokes after TIAs groups (median mRS 0, IQR 0-1; p = 0.323). CONCLUSIONS: CWS is associated with higher stroke risk and better functional prognosis than L- and NL-TIAs. CWS risk profile is consistent with severe small vessel disease, and ND hypertension could represent a major risk factor. DAPT and IVT seem effective and safe in preventing and treating stroke following CWS.

Statin therapy may protect against acute kidney injury in patients hospitalized for interstitial SARS-CoV2 pneumonia.

BACKGROUND AND AIMS: COVID-19-associated acute kidney injury (AKI) represents an independent risk factor for all-cause in-hospital death in patients with COVID-19. Chronic statin therapy use is highly prevalent in individuals at risk for severe COVID-19. Our aim is to assess whether patients under treatment with statins have a lower risk of AKI and in-hospital mortality during hospitalization for interstitial SARS-CoV2 pneumonia. METHODS AND RESULTS: Our study is a prospective observational study on 269 consecutive patients admitted for COVID-19 pneumonia at the Internal Medicine Unit of IRCCS Sant'Orsola Hospital in Bologna, Italy. We compared the clinical characteristics between patients receiving statin therapy (n = 65) and patients not treated with statins and we assessed if chronic statin use was associated with a reduced risk for AKI, all-cause mortality, admission to ICU, and disease severity. Statin use was associated with a significant reduction in the risk of developing AKI (OR 0.47, IC 0.23 to 0.95, p 0.036) after adjustment for age, sex, BMI, hypertension, diabetes, and chronic kidney disease (CKD). Additionally, statin use was associated with reduced C-reactive protein (CRP) levels (p 0.048) at hospital admission. No significant impact in risk of all-cause mortality (HR 1.98, IC 0.71 to 5.50, p 0.191) and ICU admission (HR 0.93, IC 0.52 to 1.65, p 0.801) was observed with statin use, after adjustment for age, sex, BMI, hypertension, diabetes, and CKD. CONCLUSION: The present study shows a potential beneficial effect of statins in COVID-19-associated AKI. Furthermore, patients treated with statins before hospital admission for COVID-19 may have lower systemic inflammation levels.

Consensus document on Lipoprotein(a) from the Italian Society for the Study of Atherosclerosis (SISA).

AIMS: In view of the consolidating evidence on the causal role of Lp(a) in cardiovascular disease, the Italian Society for the Study of Atherosclerosis (SISA) has assembled a consensus on Lp(a) genetics and epidemiology, together with recommendations for its measurement and current and emerging therapeutic approaches to reduce its plasma levels. Data on the Italian population are also provided. DATA SYNTHESIS: Lp(a) is constituted by one apo(a) molecule and a lipoprotein closely resembling to a low-density lipoprotein (LDL). Its similarity with an LDL, together with its ability to carry oxidized phospholipids are considered the two main features making Lp(a) harmful for cardiovascular health. Plasma Lp(a) concentrations vary over about 1000 folds in humans and are genetically determined, thus they are quite stable in any individual. Mendelian Randomization studies have suggested a causal role of Lp(a) in atherosclerotic cardiovascular disease (ASCVD) and aortic valve stenosis and observational studies indicate a linear direct correlation between cardiovascular disease and Lp(a) plasma levels. Lp(a) measurement is strongly recommended once in a patient's lifetime, particularly in FH subjects, but also as part of the initial lipid screening to assess cardiovascular risk. The apo(a) size polymorphism represents a challenge for Lp(a) measurement in plasma, but new strategies are overcoming these difficulties. A reduction of Lp(a) levels can be currently attained only by plasma apheresis and, moderately, with PCSK9 inhibitor treatment. CONCLUSIONS: Awaiting the approval of selective Lp(a)-lowering drugs, an intensive management of the other risk factors for individuals with elevated Lp(a) levels is strongly recommended.

Hyperuricemia increases the risk of cardiovascular mortality associated with very high HdL-cholesterol level.

BACKGROUND AND AIMS: Whether the association between very high HDL-cholesterol levels and cardiovascular mortality (CVM) is modulated by some facilitating factors is unclear. Aim of the study was to investigate whether the risk of CVM associated with very high HDL-cholesterol is increased in subjects with hyperuricemia. METHODS AND RESULTS: Multivariable Cox analyses were made in 18,072 participants from the multicentre URRAH study stratified by sex and HDL-cholesterol category. During a median follow-up of 11.4 years there were 1307 cases of CVM. In multivariable Cox models a J-shaped association was found in the whole population, with the highest risk being present in the high HDL-cholesterol group [>80 mg/dL, adjusted hazard ratio (HR), 1.28; 95%CI, 1.02-1.61; p = 0.031)]. However, a sex-specific analysis revealed that this association was present only in women (HR, 1.34; 95%CI, 1.02-1.77; p = 0.034) but not in men. The risk of CVM related to high HDL-cholesterol was much greater in the women with high uric acid (>0.30 mmol/L, HR 1.61; 95%CI, 1.08-2.39) than in those with low uric acid (HR, 1.17; 95%CI, 0.80-1.72, p for interaction = 0.016). In women older than 70 years with hyperuricemia the risk related to high HDL-cholesterol was 1.83 (95%CI, 1.19-2.80, p < 0.005). Inclusion of BMI in the models weakened the strength of the associations. CONCLUSION: Our data indicate that very high HDL-cholesterol levels in women are associated with CVM in a J-shaped fashion. The risk of CVM is increased by concomitant hyperuricemia suggesting that a proinflammatory/oxidative state can enhance the detrimental cardiovascular effects associated with high HDL-cholesterol.

Clinical results and mechanism of action of icosapent ethyl.

Serum triglyceride concentration is considered as an additional component that often contributes to residual cardiovascular risk in patients already at high risk; these considerations have led to several clinical studies aimed at evaluating the efficacy of supplements based on omega-3 fatty acids in reducing serum triglyceride levels and consequently cardiovascular risk. Although partially inconclusive and contradictory, these clinical trials laid the foundations for the implementation of the REDUCE-IT and EVAPORATE studies, in which the use of a purified derivative of eicosapentaenoic acid, icosapent ethyl, resulted in a significant reduction both of the composite for cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke and of the reduction in the volumetric progression up to the induction of a real regression of the coronary atheromatous plaques detected by computerized coronary angiography tomography. Surprisingly, these brilliant results seem to be, at least in part, not related to the reduction of triglyceride concentration. The purpose of this article is to examine the latest evidence regarding icosapent ethyl therapy, describing the results of the main clinical trials performed to date and formulating hypotheses on the potential mechanisms of action of this fascinating molecule.

Effect of dietary supplementation with Diuripres® on blood pressure, vascular health, and metabolic parameters in individuals with high-normal blood pressure or stage I hypertension: The CONDOR randomized clinical study.

Our aim was to evaluate if a nutritional intervention with a dietary supplement (Diuripres®) containing magnesium, standardized extract of orthosiphon, hawthorn, and hibiscus could positively affect blood pressure (BP), vascular health, and metabolic parameters in 60 individuals with high-normal BP or stage I hypertension. Participants followed a low-fat low-sodium Mediterranean diet for 4 weeks before being randomly allocated to 8-week treatment with two pills each day of either Diuripres® or placebo. Diuripres® significantly decreased systolic BP compared to placebo after 4 weeks (3.1 ± 0.8 mmHg; p < 0.05) and more consistently after 8 weeks (3.4 ± 0.9 mmHg; p < 0.05). At 8-week follow-up, after correction for multiple testing, dietary supplementation with Diuripres® was associated with significant improvements in diastolic BP (-3.1 ± 0.6 mmHg; p < 0.05), aortic BP (-4.3 ± 0.4 mmHg; p < 0.05), and high-sensitivity C-reactive protein (hs-CRP; 0.04 ± 0.01 mg/dL; p < 0.05) in comparison with baseline. The reductions in diastolic BP (--3.8 ± 0.7 mmHg; p < 0.05), aortic BP (-5.2 ± 1.0 mmHg; p < 0.05), and hs-CRP (-0.03 ± 0.01 mg/dL; p < 0.05) were also significant compared to placebo. Therefore, our study shows that dietary supplementation with Diuripres® may be useful in individuals with high-normal BP or stage I hypertension.

Sex differences in arterial hypertension.

There is strong evidence that sex chromosomes and sex hormones influence blood pressure (BP) regulation, distribution of cardiovascular (CV) risk factors and co-morbidities differentially in females and males with essential arterial hypertension. The risk for CV disease increases at a lower BP level in females than in males, suggesting that sex-specific thresholds for diagnosis of hypertension may be reasonable. However, due to paucity of data, in particularly from specifically designed clinical trials, it is not yet known whether hypertension should be differently managed in females and males, including treatment goals and choice and dosages of antihypertensive drugs. Accordingly, this consensus document was conceived to provide a comprehensive overview of current knowledge on sex differences in essential hypertension including BP development over the life course, development of hypertension, pathophysiologic mechanisms regulating BP, interaction of BP with CV risk factors and co-morbidities, hypertension-mediated organ damage in the heart and the arteries, impact on incident CV disease, and differences in the effect of antihypertensive treatment. The consensus document also highlights areas where focused research is needed to advance sex-specific prevention and management of hypertension.

Algorithm for Mobile Platform-Based Real-Time QRS Detection.

Recent advancements in smart, wearable technologies have allowed the detection of various medical conditions. In particular, continuous collection and real-time analysis of electrocardiogram data have enabled the early identification of pathologic cardiac rhythms. Various algorithms to assess cardiac rhythms have been developed, but these utilize excessive computational power. Therefore, adoption to mobile platforms requires more computationally efficient algorithms that do not sacrifice correctness. This study presents a modified QRS detection algorithm, the AccYouRate Modified Pan-Tompkins (AMPT), which is a simplified version of the well-established Pan-Tompkins algorithm. Using archived ECG data from a variety of publicly available datasets, relative to the Pan-Tompkins, the AMPT algorithm demonstrated improved computational efficiency by 5-20×, while also universally enhancing correctness, both of which favor translation to a mobile platform for continuous, real-time QRS detection.

Electrocardiogram Monitoring Wearable Devices and Artificial-Intelligence-Enabled Diagnostic Capabilities: A Review.

Worldwide, population aging and unhealthy lifestyles have increased the incidence of high-risk health conditions such as cardiovascular diseases, sleep apnea, and other conditions. Recently, to facilitate early identification and diagnosis, efforts have been made in the research and development of new wearable devices to make them smaller, more comfortable, more accurate, and increasingly compatible with artificial intelligence technologies. These efforts can pave the way to the longer and continuous health monitoring of different biosignals, including the real-time detection of diseases, thus providing more timely and accurate predictions of health events that can drastically improve the healthcare management of patients. Most recent reviews focus on a specific category of disease, the use of artificial intelligence in 12-lead electrocardiograms, or on wearable technology. However, we present recent advances in the use of electrocardiogram signals acquired with wearable devices or from publicly available databases and the analysis of such signals with artificial intelligence methods to detect and predict diseases. As expected, most of the available research focuses on heart diseases, sleep apnea, and other emerging areas, such as mental stress. From a methodological point of view, although traditional statistical methods and machine learning are still widely used, we observe an increasing use of more advanced deep learning methods, specifically architectures that can handle the complexity of biosignal data. These deep learning methods typically include convolutional and recurrent neural networks. Moreover, when proposing new artificial intelligence methods, we observe that the prevalent choice is to use publicly available databases rather than collecting new data.

Purine Metabolism Dysfunctions: Experimental Methods of Detection and Diagnostic Potential.

Purines, such as adenine and guanine, perform several important functions in the cell. They are found in nucleic acids; are structural components of some coenzymes, including NADH and coenzyme A; and have a crucial role in the modulation of energy metabolism and signal transduction. Moreover, purines have been shown to play an important role in the physiology of platelets, muscles, and neurotransmission. All cells require a balanced number of purines for growth, proliferation, and survival. Under physiological conditions, enzymes involved in purines metabolism maintain a balanced ratio between their synthesis and degradation in the cell. In humans, the final product of purine catabolism is uric acid, while most other mammals possess the enzyme uricase that converts uric acid to allantoin, which can be easily eliminated with urine. During the last decades, hyperuricemia has been associated with a number of human extra-articular diseases (in particular, the cardiovascular ones) and their clinical severity. In this review, we go through the methods of investigation of purine metabolism dysfunctions, looking at the functionality of xanthine oxidoreductase and the formation of catabolites in urine and saliva. Finally, we discuss how these molecules can be used as markers of oxidative stress.

Synergistic actions between angiotensin-converting enzyme inhibitors and statins in atherosclerosis.

AIMS: Hypertension and hypercholesterolemia are independent risk factors for atherosclerotic cardiovascular disease (ASCVD) by acting directly on the endothelium and activating the renin-angiotensin aldosterone system (RAAS) and mevalonate pathways. This review examines how the severity and duration of these risk factors may influence the cardiovascular risk through a reciprocal interplay leading to oxidative stress and pro-inflammatory response. DATA SYNTHESIS: The review highlights the clinical evidence supporting the benefits of statins and angiotensin-converting enzyme (ACE) inhibitors for hypertension, lipid disorders and ASCVD management, both individually and combined, at all stages of the cardiovascular continuum. CONCLUSION: Drug strategies incorporating an ACE-inhibitor and a statin, and in particular perindopril and atorvastatin, have consistently demonstrated reductions in the rate of ASCVD events in patients with hypertension and lipid disorders, cementing their position as first-line therapies for the management of atherosclerosis complications.

Impact of serum uric acid levels on cardiovascular events and quality of life in patients with chronic coronary syndromes: Insights from a contemporary, prospective, nationwide registry.

BACKGROUND AND AIMS: Hyperuricemia is a metabolic disorder that has been associated with adverse cardiovascular (CV) events. Using the data from a nationwide, prospective registry on patients with chronic coronary syndromes (CCS), we assessed the impact of serum uric acid (SUA) levels on quality of life (QoL) and major adverse CV events (MACE), a composite of CV death and hospitalization for myocardial infarction, heart failure (HF), angina or revascularization at 1-year. METHODS AND RESULTS: Among the 5070 consecutive CCS patients enrolled in the registry, levels of SUA were available for 2394 (47.2%). Patients with SUA levels available at baseline were grouped as low tertile (n = 860; 4.3 [3.7-4.7] mg/dL), middle tertile (n = 739; 5.6 [5.3-5.9] mg/dL) and high tertile (n = 795; 7.1 [6.7-7.9] mg/dL). At 1 year, the incidence of MACE was 3.7%, 4.1% and 6.8% for low, middle and high tertiles, respectively (p = 0.005 for low vs high tertile). Patients in the high tertile of SUA had a significantly higher rate of CV mortality (1.4% vs 0.4%; p = 0.05) and hospital admission for HF (2.8% vs 1.6%; p = 0.03) compared to the low tertile. However, hyperuricemia did not result as an independent predictor of MACE at multivariable analysis [hazard ratio: 1.27; 95% confidence intervals: 0.81-2.00; p = 0.3]. CONCLUSIONS: In this contemporary, large cohort of CCS, those in the high tertile of SUA had a greater burden of CV disease and worse QoL. However, SUA did not significantly influence the higher rate of CV mortality, hospitalization for HF and MACE observed in these patients during 1-year follow-up.

A subgroup analysis of the ODYSSEY APPRISE study: Safety and efficacy of alirocumab in the Italian cohort.

BACKGROUND AND AIMS: ODYSSEY APPRISE trial evaluated efficacy and safety of alirocumab in 994 patients with hypercholesterolemia and high CV risk in a real-life setting. The aim of the present report is to detail on the Italian cohort enrolled and treated in the trial. METHODS AND RESULTS: The methodology of the of the multinational, single-arm, Phase 3b open-label ODYSSEY APPRISE (Clinicaltrials.gov: NCT02476006) has been previously reported. 255 Italian patients were enrolled and treated according to the trial protocol. Overall mean exposure to alirocumab was 83.3 ± 27.7 weeks. At week 12, LDL-C decreased by 51.3 ± 23.1% and this reduction was overall maintained for the duration of the study. A similar reduction was observed in patients with and without heterozygous familial hypercholesterolemia (HeFH 50.7% ± 23.9 vs. non-FH, 53.6% ± 19.6). LDL-C was reduced below 1.8 mmol/L and/or by ≥ 50% reduction from baseline in 62% of patients overall (61% in HeFH and 67% in non-FH). Alirocumab was similarly well tolerated in the Italian cohort as in the entire study population and the more common treatment emergent adverse events (TEAEs) were influenza, myalgia and nasopharyngitis. The incidence LDL-C levels <25 mg/dl and <15 mg/dl, was 8.2% and 2.9% respectively. CONCLUSION: The efficacy and safety of alirocumab in a real-life setting, in the Italian subgroup of patients are consistent with findings in the entire study population and confirm that alirocumab is a beneficial approach to further reduce LDL-C levels in patients at high CV risk on maximally tolerated conventional lipid lowering treatment. GOV IDENTIFIER: NCT02476006.

Serum uric acid levels threshold for mortality in diabetic individuals: The URic acid Right for heArt Health (URRAH) project.

BACKGROUND AND AIM: The URRAH (URic acid Right for heArt Health) Study has identified cut-off values of serum uric acid (SUA) predictive of total mortality at 4.7 mg/dl, and cardiovascular (CV) mortality at 5.6 mg/dl. Our aim was to validate these SUA thresholds in people with diabetes. METHODS AND RESULTS: The URRAH subpopulation of people with diabetes was studied. All-cause and CV deaths were evaluated at the end of follow-up. A total of 2570 diabetic subjects were studied. During a median follow-up of 107 months, 744 deaths occurred. In the multivariate Cox regression analyses adjusted for several confounders, subjects with SUA ≥5.6 mg/dl had higher risk of total (HR: 1.23, 95%CI: 1.04-1.47) and CV mortality (HR:1.31, 95%CI:1.03-1.66), than those with SUA <5.6 mg/dl. Increased all-cause mortality risk was shown in participants with SUA ≥4.7 mg/dl vs SUA below 4.7 mg/dl, but not statistically significant after adjustment for all confounders. CONCLUSIONS: SUA thresholds previously proposed by the URRAH study group are predictive of total and CV mortality also in people with diabetes. The threshold of 5.6 mg/dl can predict both total and CV mortality, and so is candidate to be a clinical cut-off for the definition of hyperuricemia in patients with diabetes.

Association Between Aldosterone and Parathyroid Hormone Levels in Patients With Adrenocortical Tumors.

OBJECTIVE: Patients with primary aldosteronism (PA) can present with high PTH levels and negative calcium balance, with some studies speculating that aldosterone could directly stimulate PTH secretion. Either adrenalectomy or mineralocorticoid receptor blockers could reduce PTH levels in patients with PA. The aim of this study was to assess the relationship between aldosterone levels and parathyroid hormone (PTH)-vitamin D-calcium axis in a cohort of patients with PA, compared with patients with nonsecreting adrenocortical tumors in conditions of vitamin D sufficiency. METHODS: We enrolled a series of 243 patients retrospectively, of whom 66 had PA and 177 had nonsecreting adrenal tumors, and selected those with full mineral metabolism evaluation and 25(OH) vitamin D levels >20 ng/mL at the time of initial endocrine screening. The final cohort was composed of 26 patients with PA and 39 patients, used as controls, with nonsecreting adrenal tumors. The relationships between aldosterone, PTH levels, and biochemistries of mineral metabolism were assessed. RESULTS: Aldosterone was positively associated with PTH levels (r = 0.260, P < .05) in the whole cohort and in the PA cohort alone (r = 0.450; P = .02). In the multivariate analysis, both aldosterone concentrations and urinary calcium excretion were significantly related to PTH levels, with no effect of 25(OH) vitamin D or other parameters of bone metabolism. CONCLUSION: PTH level is associated with aldosterone, probably independent of 25(OH) vitamin D levels and urinary calcium. Whether aldosterone interacts directly with the parathyroid glands remains to be established.

Coffee and blood pressure: exciting news!

A growing number of epidemiological studies have reported the beneficial effects of habitual coffee consumption on incident cardiovascular disease (CVD), and mortality. However, the effects of coffee on arterial hypertension are still objects of active discussion mainly because of the debated effects of caffeine on blood pressure and cardiovascular system. In particular, the negative impact of caffeine would involve the whole cardiovascular system and could be responsible for an excess in the relative risk of new onset of hypertension and a worsening of blood pressure control. Recent evidence has been published excluding a significant effect of coffee consumption on hypertension development and blood pressure control in treated and untreated hypertensive supporting a protective role for the antioxidant components of coffee that may counteract the claimed negative effect of caffeine. The presence and amount of caffeine and cardio-protective chemical constituents of coffee is largely dependent on the type, production, and method of preparation and this can partially explain the divergent opinions on the effects of coffee intake on blood pressure and cardiovascular system. In addition, some genetic aspect of caffeine metabolism can contribute to the heterogeneity of published evidence while the most recent cardiovascular guidelines largely endorse coffee consumption in hypertension and CV disease. The purpose of this short review is to briefly summarise some of the recent information available in the literature on coffee and blood pressure.Key points According to the considerable amount of observational evidence we can suggest that: • While acute coffee administration in non-habitual users may induce a blood pressure rise, habitual coffee consumption in medium-high dosages (from 3 to 5 cups/day), has neutral or even beneficial impact on blood pressure values and the new onset of hypertension. • The same intake significantly reduces the incidence of cardiovascular disease, as well as all-cause mortality. • The consumption of coffee is compatible with a correct and balanced lifestyle and should therefore not be discouraged in subjects with hypertension and cardiovascular diseases.

'Use of lipid-lowering therapy: the guidelines, the drugs or the patient?'

The current step up approach in the therapy of dyslipidemias aims to reduce the amount of LDL cholesterol below a threshold that varies according to the patient's risk category, with a pharmacological approach that sees statins as a fundamental cornerstone. Although absolutely functional in reducing cardiovascular events, this therapeutic algorithm does not yet take into consideration the innumerable phenotypic variables that we can find in dyslipidemic subjects. The ever finer understanding of the pathophysiological mechanisms underlying dyslipidemias in combination with the novelties obtained through DNA genotyping will allow, in the near future, the development of a 'tailor-made' therapy for each category of patients. This article will summarize the most recent evidence regarding the therapy of dyslipidemias, with particular attention to the concept of cumulative exposure and some hypotheses on possible initial therapeutic proposals in patients with diabetes, vasculopathy, with hypertriglyceridaemia and with high levels of Lp (a).

Machine Learning in Hypertension Detection: A Study on World Hypertension Day Data.

Many modifiable and non-modifiable risk factors have been associated with hypertension. However, current screening programs are still failing in identifying individuals at higher risk of hypertension. Given the major impact of high blood pressure on cardiovascular events and mortality, there is an urgent need to find new strategies to improve hypertension detection. We aimed to explore whether a machine learning (ML) algorithm can help identifying individuals predictors of hypertension. We analysed the data set generated by the questionnaires administered during the World Hypertension Day from 2015 to 2019. A total of 20206 individuals have been included for analysis. We tested five ML algorithms, exploiting different balancing techniques. Moreover, we computed the performance of the medical protocol currently adopted in the screening programs. Results show that a gain of sensitivity reflects in a loss of specificity, bringing to a scenario where there is not an algorithm and a configuration which properly outperforms against the others. However, Random Forest provides interesting performances (0.818 sensitivity - 0.629 specificity) compared with medical protocols (0.906 sensitivity - 0.230 specificity). Detection of hypertension at a population level still remains challenging and a machine learning approach could help in making screening programs more precise and cost effective, when based on accurate data collection. More studies are needed to identify new features to be acquired and to further improve the performances of ML models.