Cardiovascular Risk Stratification Research Articles

ARTERIAL STIFFNESS ASSESSED BY SYSTEMIC VERSUS REGIONAL INDICES: DETERMINANTS AND DIAGNOSTIC AGREEMENT

Objective: Arterial stiffness is closely associated with aging and hypertension and may improve the stratification of cardiovascular risk in patients with hypertension. This study investigated the determinants and the diagnostic agreement of systemic (brachial-ankle pulse wave velocity [baPWV]) and regional (carotid distensibility coefficient [DC]) arterial stiffness indices. Design and method: Adults referred to a hypertension outpatient clinic were subjected to: (i) triplicate office blood pressure (BP) measurement using a validated professional oscillometric upper-arm cuff device Microlife WatchBP Office, (ii) baPWV measurements using an automated oscillometric device Microlife WatchBP Office Vascular, and (iii) DC and carotid intima-media thickness (cIMT) measurements with carotid ultrasound. Results: Data from 136 participants were analyzed (mean age 60±12 [SD] years, 71% males, body mass index 28±4 kg/m2, 83% hypertensives, 12% diabetics, 16% smokers, baPWV 14±2 m/sec, DC 24±9 10-3/kPa). There was a moderate negative association between baPWV and DC (r = -0.37, p<0.01). baPWV was positively correlated with age (r = 0.64, p<0.01), systolic office BP (r = 0.27, p<0.01) and cIMT (r = 0.29, p<0.01), while DC was inversely associated with age (r = -0.37, p<0.01), systolic office BP (r = -0.48, p<0.01), and cIMT (r = -0.29, p<0.01). In multivariable linear regression models (independent variables: age, sex, systolic office BP, cIMT, diabetes), age and systolic office BP appeared to be significant determinants of baPWV (beta = 0.12/0.05, respectively) and DC (beta = -0.32/-0.27, respectively). The agreement between the two methods in identifying individuals with increased arterial stiffness (1st quartile of DC distribution and 4th quartile of baPWV distribution) was fair (agreement 71%, kappa = 0.22, p<0.05). Conclusions: These results suggest that although these two methods for assessing arterial stiffness are correlated and determined by similar variables, their agreement in identifying individuals with increased arterial stiffness is fair, implying that they may provide complementary information.

QUALITY OF TREATMENT OF ARTERIAL HYPERTENSION IN COMBATANTS TAKING INTO ACCOUNT THE PRESENT COMORBID PATHOLOGY

Objective: Assessment of compliance of treatment of arterial hypertension (AH) in participants of modern armed conflicts with the requirements of evidence-based medicine, taking into account their comorbid pathology. Design and method: The design of the study was passive retrospective one-time (cross-sectional). The medical charts of inpatient patients of 213 male combatants, aged 27-59 years, average age 45.0 ± 6.8 years, who underwent treatment during 2018-2021, were analyzed by the method of random sampling. Results: It was established that all combatants with hypertension were prescribed antihypertensive drugs: angiotensin-converting enzyme inhibitors (54% of patients), calcium channel blockers (26%), angiotensin receptor blockers (25%) (that is, not all patients used angiotensin-converting enzyme inhibitors or angiotensin receptor blockers), beta blockers (24%) and diuretics (16%). In combatants suffering from hypertension with comorbid coronary heart disease (CHD), beta blockers were prescribed in 26%, calcium channel blockers in 28%, statins in only 45% of patients, without monitoring the achievement of target levels of low-density lipoprotein cholesterol density; antiplatelet therapy was prescribed for 70% of patients, which does not meet the requirements of modern medical and technological documents and needs correction. An insufficient prescription of antihypertensive drugs from the groups of beta blockers (26% of patients) and calcium channel blockers (28%) was established in military personnel with hypertension - participants in modern armed conflicts with comorbid coronary artery disease. Inadequate prescribing of statins (only in 45% of patients) and antiplatelet therapy (70%) to patients with hypertension with comorbid coronary heart disease and lack of strict control of low-density lipoprotein cholesterol levels were revealed. Conclusions: It is necessary to increase the awareness of military doctors about the need for cardiovascular risk stratification in all patients with hypertension and patients with hypertension with comorbid coronary heart disease of combatants, regarding modern requirements for the treatment of patients with hypertension with concomitant pathology, on issues of safety and feasibility of prescribing statins and antiplatelet therapy to combatants with hypertension and concomitant coronary heart disease to reduce the risk of developing cardiovascular complications and improve the prognosis with this comorbidity.

SERUM PROTEOMIC PROFILING OF CAROTID ATHEROSCLEROSIS: A POPULATION OUTCOME STUDY

Objective: Circulating proteins linked to atherosclerosis may improve cardiovascular (CV) disease prediction. Here, we applied proteomic profiling, feature selection and unbiased clustering to identify proteins associated with carotid atherosclerosis and integrate them in a protein-based classification system for prediction of future CV events. Design and method: 491 community-dwelling participants (mean age, 58±11 years; 51% women) underwent carotid ultrasonography and proteomic profiling (CVD II panel, Olink Proteomics) at baseline. Subsequently, we collected cardiovascular outcome for a median follow-up period of 10.2 years. We applied partial least squares (PLS) and a machine learning algorithm (Random Forest, RF) to identify proteins associated with carotid intima-media thickness (cIMT) and the presence of atherosclerotic plaques. Next, we assessed the association of future CV events with protein-based phenogroups defined by unbiased clustering (Gaussian Mixture modelling) based on influential proteins in PLS and RF. Results: Of 92 measured proteins, 13 were labelled as important by PLS and RF and were independently associated with cIMT and/or the presence of plaques after multivariable adjustment: pro-adrenomedullin, agouti-related protein, brother of CDO, CD40 ligand, CD84, GLO1, HB-EGF, HSP27, lipoprotein lipase, lymphotactin, PAR-1, PDGF subunit B and TGM2. Based on these proteins, the clustering algorithm subdivided the cohort into two distinct phenogroups. Compared to the first (n = 174), participants in the second phenogroup (n = 317) had: i) a more unfavourable lipid profile with higher total cholesterol and triglycerides and lower HDL cholesterol (P<0.014 for all), but no differences in other CV risk factors such as age, blood pressure, smoking status and diabetes mellitus (P>0.061 for all); ii) higher cIMT (P = 0.0020); and iii) a significantly higher risk for future CV events during follow-up (multivariable-adjusted hazard ratio (95% CI) versus cluster 1: 2.63 (1.25 to 5.56); P = 0.01). Conclusions: Carotid atherosclerosis was linked to proteins reflecting haemostasis, angiogenesis, blood pressure regulation and inflammation. Focused proteomic phenomapping adequately identified individuals at high risk for future CV events and may thus complement current CV risk stratification strategies.

The incorporation of repeated measurements of risk factors at current and previous visits improves the accuracy of cardiovascular risk assessment: an analysis of the EXSCEL trial

Abstract Funding Acknowledgements Type of funding sources: None. Background Risk prediction tools play an important role in cardiovascular risk stratification. One major limitation of most of these tools is their use of only single values of each risk factor, measured usually at a particular clinical visit, ignoring measurements made at previous visits. Purpose The aim of this study is to demonstrate the gain in predictive performance when CVD risk prediction tools incorporate repeated, rather than only single, measurements of risk factors. Methods We used data from the Exenatide Study of Cardiovascular Event Lowering (EXSCEL) randomized controlled trial to compare the quality of predictions of future major adverse cardiovascular events (MACE) in the Cox proportional hazards model that uses single values of risk factors, compared to the Bayesian joint model that uses repeated measures of risk factors. The risk of MACE was calculated in patients with type 2 diabetes with and without established CVD. We assessed the predictive ability of the following cardiovascular risk factors: glycated haemoglobin (HbA1c), high-density lipoprotein cholesterol (HDL-C), non-HDL-C, triglycerides, estimated glomerular filtration rate, low-density lipoprotein cholesterol (LDL-C), total cholesterol, and systolic blood pressure (SBP) using the time-dependent area under the receiver operating characteristic curve (aROC) for discrimination and the time-dependent Brier score for calibration. Results In participants without history of CVD, the aROC of systolic blood pressure increased from 0.62 to 0.69 when repeated, rather than only single, measurements of SBP were incorporated into the predictive model. Similarly, the aROC increased from 0.67 to 0.80 when repeated, rather than only single, measurements of both SBP and LDL-C were incorporated into the predictive model. For all other investigated cardiovascular risk factors, the measures of discrimination and calibration both improved when using the joint model as compared to the Cox proportional hazards model. The improvement was evident in participants with and without history of CVD but was more pronounced in the latter group. Conclusion This analysis demonstrates that the joint modeling approach, considering trajectories of cardiovascular risk factors, provides superior predictive performance of CVD risk stratification compared to standard risk prediction tools, using only a single time point.

Comparison of SCORE and SCORE 2 model for cardiovascular risk stratification in men and women from high risk European country

Abstract Funding Acknowledgements Type of funding sources: None. European Society of Cardiology has recently introduced new SCORE 2 algorhythm for cardiovascular risk assessment in apparently healthy individuals. However, there are limited data from high risk countries on CV risk stratification and potential gender differences in risk estimation using SCORE 2 model. The aim of the current study was to compare risk prediction using SCORE 2 and previous SCORE model and to assess the potential gender differences in risk estimation. Methods Our study included 1361 apparently healthy individuals (mean age 56±9 years, 61% women) without known CV disease or risk factors aged 40 to 70 years old. Data on CV risk factors were prospectively collected in 20 primary care centers throughout Serbia from January 2020 to December 2020. CV risk was assessed both by SCORE and SCORE 2 model. Based on CV risk profile individuals were stratified in three categories: low to intermediate, high and very high risk category. Results In overall population using SCORE model 57.6% of individuals were in low-intermediate group, 20.9% were classified as high risk group and 21.5% as very high risk group. By the use of SCORE 2 model 1046/1361 (77%) individuals were shifted to higher risk category (Figure). In comparison to men women had lower both systolic (139 ± 19 mmHg vs 144 ± 18 mmHg in men p < 0.001) and diastolic (84 ± 9 mmHg vs 88 ± 10mmHg in men, p < 0.001 )blood pressure, lower BMI (26.4 ± 0.5 kg/m2 vs 27.4 ± 5.0 kg/m2 in men, p= 0.036) and higher values of HDL cholesterol (1.5 ± 0.5 mmol/L vs. 1.3 ± 0.4 mmol/L in men, p < 0.001). Smoking was more prevalent in men (49%) than in women (42%), p=0.04. There were no gender differences in age (56 ± 9 years for both genders) and non-HDL cholesterol ( 4.86 ± 1.24 mmol in men vs. 4.75 ± 1.23 mmol/l in women, p= 0.100). More women (85.9%) than men (62.6%) were shifted in higher risk category using SCORE 2 in comparison to SCORE (p < 0.001) (Figure). Conclusion By the use of SCORE 2 instead of SCORE prediction model for CV risk stratification in contemporary high risk European population significant proportion of apparently healthy individuals are shifted to higher risk category. In spite of having better CV risk factors profile, more women than men were shifted in higher risk category.

Computational clustering reveals differentiated coronary artery calcium progression at prevalent levels of pulse wave velocity by classifying high-risk patients.

Many studies found that increased arterial stiffness is significantly associated with the presence and progression of Coronary Calcium Score (CCS). However, none so far have used machine learning algorithms to improve their value. Therefore, this study aims to evaluate the association between carotid-femoral Pulse Wave Velocity (cfPWV) and CCS score through computational clustering. We conducted a retrospective cross-sectional study using data from a cardiovascular risk screening program that included 377 participants. We used an unsupervised clustering algorithm using age, weight, height, blood pressure, heart rate, and cfPWV as input variables. Differences between cluster groups were analyzed through Chi-square and T-student tests. The association between (i) cfPWV and age groups, (ii) log (CCS) and age groups, and (iii) cfPWV and log(CCS) were addressed through linear regression analysis. Clusters were labeled post hoc based on cardiovascular risk. A "higher-risk group" had significantly higher left (0.76 vs. 0.70 mm, P < 0.001) and right (0.71 vs. 0.66 mm, P = 0.003) intima-media thickness, CCS (42 vs. 4 Agatston units, P = 0.012), and ascending (3.40 vs. 3.20 cm, P < 0.001) and descending (2.60 vs. 2.37 cm, P < 0.001) aorta diameters. Association with age appeared linear for cfPWV and exponential for log (CCS). The progression of the log (CCS) and cfPWV through age groups was steeper in the "higher-risk group" than in the "lower-risk group". cfPWV strongly correlated with CCS, and CCS progression over cfPWV differed among clusters. This finding could improve PWV as a "gate-keeper" of CCS testing and potentially enhance cardiovascular risk stratification.

Évaluation du risque cardiovasculaire chez les patients hypertendus selon le SCORE2 et le SCORE OP dans une population d'Afrique subsaharienne

BackgroundHypertension is a major risk factor for cardiovascular events. The cardiovascular risk assessment is performed using specific algorithms, particularly SCORE2 and SCORE2-OP developed by the European Society of Cardiology. Patients and methodsProspective cohort study from February 1, 2022, to July 31, 2022, enrolling 410 hypertensive patients. Epidemiological, paraclinical, therapeutic, and follow-up data were analyzed. Cardiovascular risk stratification of patients was performed using SCORE2 and SCORE2-OP algorithms. We compared the initial and 6-month cardiovascular risks. ResultsThe mean age of the patients was 60.88 ± 12.35 years with a female predominance (sex ratio = 0.66). In addition to hypertension, dyslipidemia (45.4%) was the most frequently associated risk factor. A high proportion of patients were classified as high (48.6%) and very high (46.3%) cardiovascular risk, with a significant difference between men and women. Reassessment of cardiovascular risk after 6 months of treatment found significant differences compared with the initial cardiovascular risk (p < 0.001). The rate of patients at low to moderate cardiovascular risk (49.5%) increased substantially, whereas the proportion of patients at very high risk decreased (6.8%). ConclusionOur study conducted at Abidjan Heart Institute in a young population of patients with hypertension revealed a severe cardiovascular risk profile. Almost half of the patients are classified at very high cardiovascular risk, based on the SCORE2 and SCORE2-OP. The widespread use of these new algorithms for risk stratification should lead to more aggressive management and prevention strategies for hypertension and associated risk factors.

Detection and quantification of breast arterial calcifications on mammograms: a deep learning approach

ObjectiveBreast arterial calcifications (BAC) are a sex-specific cardiovascular disease biomarker that might improve cardiovascular risk stratification in women. We implemented a deep convolutional neural network for automatic BAC detection and quantification.MethodsIn this retrospective study, four readers labelled four-view mammograms as BAC positive (BAC+) or BAC negative (BAC−) at image level. Starting from a pretrained VGG16 model, we trained a convolutional neural network to discriminate BAC+ and BAC− mammograms. Accuracy, F1 score, and area under the receiver operating characteristic curve (AUC-ROC) were used to assess the diagnostic performance. Predictions of calcified areas were generated using the generalized gradient-weighted class activation mapping (Grad-CAM++) method, and their correlation with manual measurement of BAC length in a subset of cases was assessed using Spearman ρ.ResultsA total 1493 women (198 BAC+) with a median age of 59 years (interquartile range 52–68) were included and partitioned in a training set of 410 cases (1640 views, 398 BAC+), validation set of 222 cases (888 views, 89 BAC+), and test set of 229 cases (916 views, 94 BAC+). The accuracy, F1 score, and AUC-ROC were 0.94, 0.86, and 0.98 in the training set; 0.96, 0.74, and 0.96 in the validation set; and 0.97, 0.80, and 0.95 in the test set, respectively. In 112 analyzed views, the Grad-CAM++ predictions displayed a strong correlation with BAC measured length (ρ = 0.88, p < 0.001).ConclusionOur model showed promising performances in BAC detection and in quantification of BAC burden, showing a strong correlation with manual measurements.Clinical relevance statementIntegrating our model to clinical practice could improve BAC reporting without increasing clinical workload, facilitating large-scale studies on the impact of BAC as a biomarker of cardiovascular risk, raising awareness on women’s cardiovascular health, and leveraging mammographic screening.Key Points• We implemented a deep convolutional neural network (CNN) for BAC detection and quantification.• Our CNN had an area under the receiving operator curve of 0.95 for BAC detection in the test set composed of 916 views, 94 of which were BAC+ .• Furthermore, our CNN showed a strong correlation with manual BAC measurements (ρ = 0.88) in a set of 112 views.

A new score for improving cardiovascular risk prediction and prevention

Background and aimsThe ultrasonographic detection of subclinical atherosclerosis (scATS) at carotid and femoral vascular sites using the atherosclerosis burden score (ABS) improves the risk stratification for atherosclerotic cardiovascular disease beyond traditional cardiovascular (CV) risk factors. However, its predictive value should be further enhanced. We hypothesize that combining the ABS and the Framingham risk score (FHRS) to create a new score called the FHRABS will improve CV risk prediction and prevention. We aim to investigate if incorporating the ABS into the FHRS improved CV risk prediction in a primary prevention setting. Methods and results1024 patients were included in this prospective observational cohort study. Carotid and femoral plaques were ultra-sonographic detected. Major incident cardiovascular events (MACEs) were collected. The receiver operating characteristic curve (ROC-AUC) and Youden's index (Ysi) were used to compare the incremental contributions of each marker to predict MACEs.After a median follow-up of 6.0 ± 3.3 years, 60 primary MACEs (5.8%) occurred. The ROC-AUC for MACEs prediction was significantly higher for the FHRABS (0.74, p < 0.024) and for the ABS (0.71, p < 0.013) compared to the FHRS alone (0.71, p < 0.46). Ysi or the FHRABS (42%, p < 0.001) and ABS (37%, p < 0.001) than for the FHRS (31%). Cox proportional-hazard models showed that the CV predictive performance of FHRS was significantly enhanced by the ABS (10.8 vs. 5.5, p < 0.001) and FHRABS (HR 23.30 vs. 5.50, p < 0.001). ConclusionsFHRABS is a useful score for improving CV risk stratification and detecting patients at high risk of future MACEs. FHRABS offers a simple-to-use, and radiation-free score with which to detect scATS in order to promote personalized CV prevention.

Interpretation of Ambulatory Blood Pressure Monitoring for Risk Stratification in Hypertensive Patients: The 'Ambulatory Does Prediction Valid (ADPV)' Approach.

Several outcome-based prospective investigations have provided solid data which support the prognostic value of 24 h ambulatory blood pressure over and beyond cardiovascular traditional risk factors. Average 24 h, daytime, and nighttime blood pressures are the principal components of the ambulatory blood pressure profile that have improved cardiovascular risk stratification beyond traditional risk factors. Furthermore, several additional ambulatory blood pressure measures have been investigated. The correct interpretation in clinical practice of ambulatory blood pressure monitoring needs a standardization of methods. Several algorithms for its clinical use have been proposed. Implementation of the results of ambulatory blood pressure monitoring in the management of individual subjects with the aim of improving risk stratification is challenging. We suggest that clinicians should focus attention on ambulatory blood pressure components which have been proven to act as the main independent predictors of outcome (average 24 h, daytime, and nighttime blood pressure, pulse pressure, dipping status, BP variability).

Spotlight on Cardiovascular CARDIO-vascular risk Stratification, Management And Refining Treatment

Spotlight on Cardiovascular CARDIO-vascular risk Stratification, Management And Refining Treatment

Consensus statement on cardiovascular risk stratification and aggressive management of chronic coronary syndromes

Cardiovascular diseases (CVDs) are responsible for 17.5 million deaths globally, and India is more susceptible to coronary artery disease (CAD) than its western counterparts because of certain challenges such as suboptimal management, increased healthcare costs, and physicians undermining the extent of limitation in angina patients. All of these could be resolved by employing strategies starting with accurate diagnosis to timely implementation of aggressive management techniques to contain morbidity and mortality. Pan India, experts from the field of cardiology came together in order to discuss risk stratification and aggressive management of chronic coronary syndromes (CCS). The expert consensus laid down a path of recommendations considering the prevailing healthcare service infrastructure, local evidence-based studies and key international guidelines. With the wide diversity in terms of geographical distribution in India and the risk factors presented across various divisions of the population, risk stratification is necessary for prompt identification and subsequent management of CCS. In this consensus, various risk stratification techniques such as risk stratification based on ventricular function, electrocardiogram (ECG), stress echocardiography (ECHO), the Duke treadmill score (DTS), and myocardial perfusion imaging (MPI) were discussed. After risk stratification, the consensus focused on aggressive management of CVDs with therapeutic optimization for various types of patient profiles such as revascularization for stable angina and angina with comorbidities (diabetes and renal failure), apart from emphasis on various medications and their roles in ameliorating disease symptoms.

Genetic liability to age at first sex and birth in relation to cardiovascular diseases: a Mendelian randomization study

BackgroundGrowing evidence suggests that various reproductive factors, including early menarche, early menopause, and age at first birth, may increase the risk of developing cardiovascular disease (CVD) later in life. However, the associations between reproductive factors and CVDs are inconsistent and controversial. Therefore, we conducted a two-sample Mendelian randomization (MR) analysis to explore the potential links between age at first sex (AFS) and age at first birth (AFB) and several CVDs.MethodsWe obtained summary statistics for exposure from the largest genome-wide association studies of AFS and AFB. To serve as instrumental variables, we selected 259 SNPs associated with AFS and 81 SNPs associated with AFB at the genome-wide significance level. We employed a random-effects inverse-variance weighted method to pool estimates, and conducted multivariable MR analysis to determine the direct association between AFS and AFB with CVDs, while accounting for the effects of confounders.ResultsThe genetic liability to later AFS was associated with decreased risks of heart failure (odd ratio [OR] 0.700; 95% confidence interval [CI] 0.639–0.767; p = 2.23 × 10−14), coronary artery disease (OR 0.728; 95% CI 0.657–0.808; p = 1.82 × 10−9), myocardial infarction (OR 0.731; 95% CI 0.657–0.813; p = 8.33 × 10−9), stroke (OR 0.747; 95% CI 0.684–0.816; p = 6.89 × 10−11), and atrial fibrillation (OR 0.871; 95% CI 0.806–0.941; p = 4.48 × 10−4). The genetic liability to later AFB was also associated with decreased risks of CVDs, including myocardial infarction (OR 0.895; 95% CI 0.852–0.940; p = 8.66 × 10−6), coronary heart disease (OR 0.901; 95% CI 0.860–0.943; p = 9.02 × 10−6), heart failure (OR 0.925; 95% CI 0.891–0.961; p = 5.32 × 10−5), and atrial fibrillation (OR 0.944; 95% CI 0.911–0.978; p = 0.001). However, no association was found between AFB and stroke. The associations remained independent from the effects of AFS and AFB on potential confounders, including smoking, alcohol intake, body mass index, and depression. Mediation analysis suggested that education attainment partly mediates the link from AFS and AFB to CVD outcomes.ConclusionOur results observed a causal relationship between later AFS, AFB and lower CVDs risk; it emphasizes the importance of providing sex education since early sex and birth may have undesirable effects. Cardiovascular risk stratification that considers reproductive factors may help address CVD risk.

Convolutional neural networks on risk stratification of patients with suspected coronary artery disease undergoing coronary computed tomography angiography

To assess the prognostic value of convolutional neural networks (CNN) on coronary computed tomography angiography (CCTA) in comparison to conventional computed tomography (CT) reporting and clinical risk scores. 5468 patients who underwent CCTA with suspected coronary artery disease (CAD) were included. Primary endpoint was defined as a composite of all-cause death, myocardial infarction, unstable angina or late revascularization (> 90 days after CCTA). Early revascularization was additionally included as a training endpoint for the CNN algorithm. Cardiovascular risk stratification was based on Morise score and the extent of CAD (eoCAD) as assessed on CCTA. Semiautomatic post-processing was performed for vessel delineation and annotation of calcified and non-calcified plaque areas. Using a two-step training of a DenseNet-121 CNN the entire network was trained with the training endpoint, followed by training the feature layer with the primary endpoint. During a median follow-up of 7.2 years, the primary endpoint occurred in 334 patients. CNN showed an AUC of 0.631 ± 0.015 for prediction of the combined primary endpoint, while combining it with conventional CT and clinical risk scores showed an improvement of AUC from 0.646 ± 0.014 (based on eoCAD only) to 0.680 ± 0.015 (p < 0.0001) and from 0.619 ± 0.0149 (based on Morise Score only) to 0.6812 ± 0.0145 (p < 0.0001), respectively. In a stepwise model including all prediction methods, it was found an AUC of 0.680 ± 0.0148. CNN analysis showed to improve conventional CCTA-derived and clinical risk stratification when evaluating CCTA of patients with suspected CAD.

Limitations of Cardiovascular Risk Scores in Primary Prevention. An Opportunity for Risk Modulators?

Background: Cardiovascular risk scores have limitations related to calibration, discrimination, and low sensitivity. Different "risk modulators" have been identified to improve cardiovascular risk stratification: carotid atherosclerotic plaque (CAP), coronary artery calcium (CAC) score and lipoprotein(a) [Lp(a)]. Objectives: The aims of this study were: 1) to determine the prevalence of risk modulators mentioned in a primary prevention population; 2) determine the concordance between the 2 methods of detecting subclinical atherosclerosis; and 3) establish which proportion of patients should receive statins according to the initial risk stratification and after being recategorized by screening for risk modulators. Methods: Individuals aged 18 to 79 years who consulted for cardiovascular risk assessment and who were not receiving lipid-lowering treatment were included. The risk score was calculated in each patient using ASCVD Risk Estimator. The presence of CAP, CAC score and Lp(a) level were evaluated. Results: The cohort was made up of 348 patients; mean age was 55.6 ± 12.2 years and 45.4% were men. In the total population, 29.8%, 36.8%, and 53.2% of patients showed Lp(a) value ≥ 50 mg/dL, CAP, or a CAC score &gt; 0, respectively. The prevalence of CAP and CAC score was progressively higher according to the cardiovascular risk category; however, the proportion of low-risk subjects who had risk modulators was considerable (Lp(a) ≥ 50 mg/dl: 25.7%; CAP: 22%; CAC score &gt; 0: 33%). In the 60 subjects &lt;45 years , the prevalence of CAC score &gt; 0 and CAP was 18.3% and 10%, respectively. The agreement between the two methods for quantifying subclinical atheromatosis was fair (kappa= 0.33). The indication for statin treatment increased by 31.6% after evaluating the presence of modulators. Conclusion: The presence of risk modulators was common in this population in primary prevention, even in low-risk subjects or &lt;45 years. Detection of risk modulators could improve initial stratification and lead to reconsideration of statin treatment.

The Interplay between Cardiovascular Risk, Cardiovascular Events, and Disease Activity in Primary Sjögren's Syndrome: Is Uric Acid the Missing Link?

(1) Background: Uric acid is a well-known cardiovascular (CV) risk factor in the general population but its role in the setting of rheumatic diseases other than gout is unclear. (2) Methods: This is a retrospective study investigating a cohort of 105 pSS patients recording clinical, serological, and CV-related variables including adherence to the Mediterranean diet. (3) Results: We observed a strong relationship between disease activity, interstitial lung disease (ILD), and CV events. The association between ILD and CV events was dependent on higher SUA levels but independent of other traditional CV risk factors. All three cases of previous non-fatal stroke were reported by females aged <65 years, with higher SUA levels, and two of them also had pSS-ILD. Forty (38%) patients had a 10-year risk of fatal and non-fatal CV disease events beyond the cut-off recommended for their age, and using the correction factor of 1.5 currently applied only to rheumatoid arthritis, we could better identify patient subsets characterized by different CV risk profiles including different SUA levels. (4) Conclusions: This study is the first to investigate in depth the role of SUA in the CV scenario of pSS. Our findings underpin the importance of assessing SUA levels in pSS in addition to the other traditional CV risk factors and to consider applying the correction factor for CV risk assessment tools to achieve a better stratification of CV risk.

Effectiveness of clinical scores in predicting coronary artery disease in familial hypercholesterolemia: a coronary computed tomography angiography study

PurposeOne of the major challenges in the management of familial hypercholesterolemia (FH) is the stratification of cardiovascular risk in asymptomatic subjects. Our purpose is to investigate the performance of clinical scoring systems, Montreal-FH-score (MFHS), SAFEHEART risk (SAFEHEART-RE) and FH risk score (FHRS) equations and Dutch Lipid Clinic Network (DLCN) diagnostic score, in predicting extent and severity of CAD at coronary computed tomography angiography (CCTA) in asymptomatic FH.Material and methodsOne-hundred and thirty-nine asymptomatic FH subjects were prospectively enrolled to perform CCTA. MFHS, FHRS, SAFEHEART-RE and DLCN were assessed for each patient. Atherosclerotic burden scores at CCTA (Agatston score [AS], segment stenosis score [SSS]) and CAD-RADS score were calculated and compared to clinical indices.ResultsNon-obstructive CAD was found in 109 patients, while 30 patients had a CAD-RADS ≥ 3. Classifying the two groups according to AS, values varied significantly for MFHS (p < 0.001), FHRS (p < 0.001) and SAFEHEART-RE (p = 0.047), while according to SSS only MFHS and FHRS showed significant differences (p < 0.001). MFHS, FHRS and SAFEHEART-RE, but not DLCN, showed significant differences between the two CAD-RADS groups (p < .001).MFHS proved to have the best discriminatory power (AUC = 0.819; 0.703–0.937, p < 0.001) at ROC analysis, followed by FHRS (AUC = 0.795; 0.715–0.875, p < .0001) and SAFEHEART-RE (AUC = .725; .61–.843, p < .001).ConclusionsGreater values of MFHS, FHRS and SAFEHEART-RE are associated to higher risk of obstructive CAD and might help to select asymptomatic patients that should be referred to CCTA for secondary prevention.

Short-term high-intensity interval training improves micro- but not macrovascular function in hypertensive patients.

Arterial hypertension is a global health burden that affects vascular structure and function. Assessment of endothelial function can improve cardiovascular (CV) risk stratification. Exercise treatment reduces over all CV risk and improves vascular health. However, it is still not clear which part of the vascular bed is most sensitive to exercise treatment in patients with CV risk. This study aimed to investigate the effects of an 8-week walking based and supervised high-intensity interval training (HIIT) on macro- and microvascular endothelial function as add-on therapy in patients with arterial hypertension. Forty patients (mean age 58 ± 7 years) treated for arterial hypertension were randomized in the HIIT (3×/week) or control group (CG) receiving standard physical activity recommendations. Arteriolar (aFID) and venular (vFID) flicker light-induced dilatation for retinal microvascular and flow-mediated dilatation (FMD) for macrovascular endothelial function were assessed. In addition, standardized assessments of patients' characteristics were performed before and after 8 weeks. Both groups reduced weight and body mass index but only the HIIT group reduced body fat, visceral fat, and increased peak oxygen uptake after 8 weeks. The control group reduced diastolic blood pressure. No blood pressure changes were found in the HIIT group. Arteriolar FID increased in the HIIT group independently of confounders (pre: 2.40 ± 0.98%, post: 3.19 ± 1.31%, p < 0.001) but not in the control group (pre: 3.06 ± 1.50%, post: 2.90 ± 1.46%, p=0.280). No changes were found for FMD in either group. Arteriolar FID was found to be a sensitive vascular biomarker to assess exercise-induced microvascular improvements even in a short time setting of an 8-week exercise therapy with HIIT. Short-term exercise training affects microvascular endothelial function but not large artery endothelial function. Thus, retinal aFID appears to be a sensitive biomarker to detect short-term exercise efficacy on a vascular level. Dynamic retinal vessel analysis as a diagnostic approach may prove to be an ideal candidate vascular biomarker to monitor treatment effects of exercise in patients with hypertension on top of standard clinical care and may support clinical decision-making in the future.

What is the NCD service capacity and disruptions due to COVID-19? Results from the WHO non-communicable disease country capacity survey in the Americas region

ObjectiveThis article presents the Americas regional results of the WHO non-communicable diseases (NCDs) Country Capacity Survey from 2019 to 2021, on NCD service capacity and disruptions from the COVID-19 pandemic.SettingInformation...

Metabolic adverse effects of antipsychotics: the state of the problem and management options

Antipsychotic drugs are widely used for many psychiatric disorders, such as schizophrenia, bipolar affective disorder, delusions and hallucinations due to neurological disorders, depression with severe psychotic symptoms. Metabolic disorders including weight gain, dyslipidemia and hyperglycemia are one of the most common side effects of antipsychotic therapy. Psychiatric patients have higher risk of cardiovascular disease, so that the development of metabolic side effects is an important clinical problem that should be solved. Antipsychotic-induced weight gain may cause distress that leads to antipsychotics withdraw and repeated hospitalizations. Lifestyle changes, correction of the antipsychotic treatment, additional medications and their combination are the possible solutions of antipsychotic metabolic side effects. Lifestyle modification is a first-line therapy that should complement other options, when it feasible. At the same time, it can be extremely difficult for patients receiving antipsychotic to adhere dietary and physical activity recommendations. Replacing an antipsychotic with a milder drug is not always possible and may not be enough effective. Metformin seems to be the most well-studied, safe and effective agent that is prescribed to deal with antipsychotic-induced weight gain and associated metabolic disorders. Glucagon-like peptide type 1 receptor agonists and thiazolidinediones are mentioned as alternative medications, but clinical data on their efficacy and safety in this patient group are extremely limited. Dyslipidemia can develop as an independent antipsychotic side effect even without an increase in body weight. The most effective treatment, as in the general population, is statin therapy. However, the joint appointment of statins and antipsychotic significantly increases the risk of adverse reactions, such as myalgia, myopathy, increased creatine kinase levels, due to the competition of drugs for the cytochrome system. It is still unknown what scales should be used for cardiovascular risk stratification in patients taking antipsychotic and whether it is possible to use metformin to prevent antipsychotic-induced weight gain, and if so, how to select patients for whom such therapy can be indicated. Finally, more clinical trials are needed to evaluate the efficacy and safety of other classes of hypoglycemic and lipid-lowering drugs in patients on antipsychotics.