10-year Cardiovascular Mortality Risk Research Articles

Male rheumatoid arthritis patients at substantially higher risk for cardiovascular mortality in comparison to women

BackgroundPatients with rheumatoid arthritis (RA) are at an increased risk for developing cardiovascular diseases. While advice regarding cardiovascular risk screening and management in RA patients has been incorporated in several guidelines in recent years, its implementation and adherence is still poor. ObjectivesTo assess the cardiovascular disease risk in new diagnosed RA patients and evaluate whether advice to initiate preventive medical treatment of high risk patients was followed. MethodsAll patients with a recent diagnosis of RA, aged 40–70 years, were screened between May 2019 and December 2022 for cardiovascular diseases and risk factors within the first year after diagnosis at the outpatient rheumatology clinic, as part of standard care. Screening included a physical examination with blood pressure measurement, and laboratory tests with lipid profile tests. All patients and their general practitioner (GP) received an overview with their cardiovascular risk profile and a calculated 10-year cardiovascular mortality risk. Cardiovascular risk was defined as low (<1%), intermediate (1–5%), high (5–10%) and very high (>10%). The national pharmacy network was consulted to check whether or not patients started preventive medication after screening. ResultsA total of 125 RA patients was included in this study. The mean age was 56 years and 78% was female. Median RA disease duration at screening was 6 months. Six patients (5%) indicated to have been screened before, and used antihypertensive medication. During screening, hypertension was found in 57% of male patients and 43% of female patients and dyslipidemia was found in 36% in male and 32% in female patients. 46% of male patients and 21% of female patients currently smoked. A high or very high 10-year cardiovascular mortality risk was found in 50% of male patients, but in only 4% of female patients. Only 26% of (very) high risk patients started antihypertensive or statin medication after screening. ConclusionsAn increased cardiovascular disease risk is often present in newly diagnosed RA patients, especially male patients, with a large proportion having undiagnosed and untreated hypertension and hypercholesterolemia. Even with structural screening and informing of the patients and GPs, treatment of cardiovascular risk factors in high risk patients remains insufficient. CV risk screening needs to be part of standard care for RA patients, with clear agreement on the responsibilities between primary and secondary care. Awareness of the importance of CVD risk screening needs to improve among both RA patients themselves and the GPs to ultimately reduce the cardiovascular burden of our patients. Obviously, a better collaboration between GPs and rheumatologists is urgently needed to lower the cardiovascular burden of our patients.

Could a nonfunctional adrenal incidentaloma be a risk factor for increased carotid intima-media thickness and 10-year cardiovascular mortality based on the SCORE algorithm? A study from a single centre in Poland.

Adrenal incidentaloma (AI) secreting small amounts of glucocorticoids may cause morphological and functional changes in the blood vessels. Early stages of cardiovascular remodeling may be observed among asymptomatic patients with AI. But it is unclear whether the nonfunctional adrenal incidentalomas (NFAI) may also be a risk factor for cardiovascular diseases. The aim of this study was to determine the relationship between NFAI, carotid intima-media thickness (CIMT), and cardiovascular risk (CVR) based on Systematic Coronary Risk Evaluation (SCORE) prediction models for Europe. This study from a single centre in Poland included 48 NFAI patients and 44 individuals in the control group matched for age, sex, and body mass index (BMI). All participants underwent adrenal imaging, biochemical evaluation, measurement of CIMT, and assessment of the 10-year risk of cardiovascular mortality based on the SCORE algorithm. Hormonal evaluation was conducted in AI patients. The NFAI group showed significantly higher sodium (p = 0.02) and glucose levels in the 2-h oral glucose tolerance test (OGTT) (p = 0.04), a higher CIMT (p < 0.01), and a higher CVR calculated according to the SCORE algorithm (p = 0.03). The estimated glomerular filtration rate (eGFR) was higher in the NFAI group (p = 0.015). Hypertension (p < 0.01) and IGT (p = 0.026) were more common in the NFAI group. Statistically significant positive correlations were found between CIMT and age (r = 0.373, p = 0.003), waist circumference (r = 0.316, p = 0.029), diastolic blood pressure (r = 0.338, p = 0.019), and CVR based on the SCORE algorithm (r = 0.43, p = 0.004). There was a statistically significant positive correlation between CIMT and serum cortisol levels after 1 mg dexamethasone suppression test (r = 0.33, p = 0.02). Non-functional adrenal adenomas are associated with increased CIMT and CVR. Early stages of cardiovascular remodelling can be observed in asymptomatic NFAI patients.

County-level geographic disparities in cardiovascular disease mortality among US breast cancer survivors, 2000-2018.

Disparities in cardiovascular disease mortality among breast cancer survivors are documented, but geographic factors by county-level socioeconomic status (SES) and rurality are not well described. We analyzed 724 518 women diagnosed with localized or regional stage breast cancer between 2000 and 2017 within Surveillance, Epidemiology, and End Results Program-18 with follow-up until 2018. We calculated relative risks (RRs) of cardiovascular disease mortality using Poisson regression, accounting for age- and race-specific rates in the general population, according to county-level quintiles of SES (measured by Yost index), median income, and rurality at breast cancer diagnosis. We also calculated 10-year cumulative mortality risk of cardiovascular disease accounting for competing risks. Cardiovascular disease mortality was 41% higher among breast cancer survivors living in the lowest SES (RR = 1.41, 95% confidence interval [CI] = 1.36 to 1.46, Ptrend < .001) and poorest (RR = 1.41, 95% CI = 1.36 to 1.47, Ptrend < .001) counties compared with the highest SES and wealthiest counties, and 24% higher for most rural relative to most urban counties (RR = 1.24, 95% CI = 1.17 to 1.30, Ptrend < .001). Disparities for the lowest SES relative to highest SES counties were greatest among younger women aged 18-49 years (RR = 2.32, 95% CI = 1.90 to 2.83) and aged 50-59 years (RR = 2.01, 95% CI = 1.77 to 2.28) and within the first 5 years of breast cancer diagnosis (RR = 1.53, 95% CI = 1.44 to 1.64). In absolute terms, however, disparities were widest for women aged 60+ years, with approximately 2% higher 10-year cumulative cardiovascular disease mortality risk in the poorest compared with wealthiest counties. Geographic factors at breast cancer diagnosis were associated with increased cardiovascular disease mortality risk. Studies with individual- and county-level information are needed to inform public health interventions and reduce disparities among breast cancer survivors.

Cardiovascular mortality risk beyond 10 years in men and women; long-term follow-up from the EPIC-Norfolk prospective population study

Abstract Introduction Current primary prevention strategies in cardiovascular (CV) disease focus on initiating preventive interventions in people at high 10-year risk of CV mortality. However, initiating such strategies should be beneficial not only in the first 10 years, but throughout life. Established risk algorithms estimate the risk of 10-year CV mortality, but limited evidence is available about the relationship between 10-year and longer-term CV mortality. Purpose To compare cumulative incidence of CV mortality in a population cohort at 10- and 20-years follow-up, stratified by sex. Methods We analysed CV mortality at 10-years and 20-years follow-up using Kaplan-Meier estimates among men and women aged 39–70 years without baseline CV disease or diabetes mellitus in the large, prospective population-based EPIC-Norfolk cohort. CV mortality included death with as underlying or contributing cause ischaemic heart disease, heart failure, cerebrovascular disease or peripheral artery disease. Results We analysed data from 20,453 participants (56% women), with a mean age of 56±8 years, and median (IQR) follow-up of 22 (21–23) years. At baseline, there were no clinically relevant differences in CV risk factors between men and women. Overall cumulative CV mortality rate was 1.9% (384 deaths) in the first 10 years, and 7.3% (995 deaths) at 20 years follow-up (ratio 3.8). Among men, 10-year CV mortality was 2.9% (249 deaths), and 9.6% (785 deaths) at 20 years follow-up (ratio 3.3). Among women, CV mortality was 1.2% (135 deaths) at 10 year and 5.5% (594 deaths) at 20 years follow-up (ratio 4.6). Conclusion We observed an incremental increase in CV mortality beyond the 10-year scope of current established CV risk algorithms. At 20 years follow-up, CV mortality rates were 3–5 times higher compared with the first decade, indicating that 20-year CV mortality risk for both men and women cannot simply be estimated based on extrapolation of 10-year risk. Funding Acknowledgement Type of funding sources: Public grant(s) – National budget only. Main funding source(s): EPIC-Norfolk is supported by programme grants from the Medical Research Council UK (MRC G0401527, MRC G0701863, MRC G1000143) and Cancer Research UK (CRUK 8257).

Algorithm for assessing the total 10 years risk of death from cardiovascular diseases in women 25-64 years old in Tyumen (Tyumen risk scale)

Purpose: To define total 10-year cardiovascular mortality risk in Russian females in dependence on traditional and psychosocial risk factors (RF) and to design the algorithm of its estimation.Methods. The study included non-organized population of Central Administrative district of Tyumen city. Epidemiological study, based on the representative selection of 1000 females aged 25-64 years. Screening respond was 81.3%. Cardiovascular mortality rate within 10 years was studied. Totally, 31 cases of cardiovascular death were registered in female cohort within 10year follow-up. We used a multivariate Cox regression model to estimate hazard ratio (HR) and confidence interval (CI). Relations between mortality rate and factors such as age, smoking, education, occupation, marital status, systolic and diastolic blood pressure (SBP and DBP), body mass index, total cholesterol, cholesterol of low and high density lipoproteins were analyzed.Results. To build a model of total cardiovascular risk, six statistically significant indicators were selected: age (HR – 1.099, 95% CI 1.032-1.1.69), SBP (1.026, 95% CI 1.011-1.041), primary education (4.315, 95% CI 1.878-9.910), work associated with heavy physical labor (4.073, 95% CI 1.324-12.528), executives (3.822, 95% CI 1.386-10.537) and marital status (2.978, 95% CI 1.197-7.409). Based on these data, model for total cardiovascular mortality risk in females was designed with good predictive accuracy (AUC was 0.882, 95% CI – 0.833 – 0.930).Conclusion. Thus, created mathematical model, built based on statistically significant traditional and psychosocial RF, makes it possible to effectively predict the total cardiovascular risk at the individual level in the female population.

SCORE underestimates cardiovascular mortality in hypertension: insight from the OLD-HTA and NEW-HTA Lyon cohorts.

Current European guidelines recommend the SCORE to estimate 10-year cardiovascular mortality in patients with moderate/low cardiovascular risk. SCORE was derived from the general population. The objective of this study was to investigate the estimated 10-year cardiovascular mortality according to the SCORE in a historic and a contemporary cohort of hypertensive patients. After exclusion of secondary prevention and diabetes, 3086 patients were analysed in the OLD-HTA (1969-90) and 1081 in the NEW-HTA (1997-2014) Lyon cohorts. SCORE was calculated using the low and high cardiovascular risk equations and charts, and patients classified as being at low (0%), moderate (1-4%), high (5-9%), and very high (≥10%) risk. In the OLD-HTA cohort, 10-year cardiovascular mortality was higher (1.2%, 5.5%, 17.7%, and 27.0%) than that predicted by the low-risk equation (0%, 1.7%, 6.4%, and 14.8%). In the NEW-HTA cohort, similar results were observed (1.1%, 4.7%, 15.1%, and 15.2% vs. 0%, 1.9%, 6.2%, and 11.7%, respectively). Using the high-risk equation, mortality was underestimated in both cohorts, but the difference was smaller. The diagnostic performance of the high-risk equation was lower than the low-risk equation in both cohorts, considering the SCORE as a continuous or a categorical variable (Likelihood ratio test P < 0.05 for all comparisons in OLD-HTA). Similar results were obtained using SCORE charts. SCORE underestimates the 10-year cardiovascular mortality risk in hypertensive patients in a historic cohort and in a contemporary one. The algorithm to predict cardiovascular mortality in hypertensive patients needs an update given new information since its creation.

L-homoarginine is associated with decreased cardiovascular- and all-cause mortality.

Increasing evidence suggests that L-homoarginine, an endogenous analogue of the amino acid L-arginine, may have beneficial effects on vascular homeostasis. We examined whether L-homoarginine is associated with 10-year risk of all-cause and cardiovascular mortality in a black South African population. We included 669 black South African participants (mean age 59.5years), 143 of whom died during the 10-year follow-up period. Mortality data were acquired via verbal autopsy. Plasma L-homoarginine (and other related markers) were analysed with liquid chromatography-tandem mass spectrometry. Survivors had higher L-homoarginine levels compared with nonsurvivors (1.25µM vs. 0.89µM; P<.001). Multivariable Cox regression analyses revealed that higher plasma L-homoarginine predicted a reduction in 10-year cardiovascular (hazard ratio [HR] per SD increment, 0.61; 95% CI 0.50 to 0.75) and all-cause (hazard ratio [HR] per SD increment, 0.59; 95% CI 0.41 to 0.84) mortality risk. Higher L-homoarginine levels are associated with reduced risk of 10-year cardiovascular and all-cause mortality. Regulation of L-homoarginine levels as a therapeutic target in the management of cardiovascular disease should be investigated.

Risk prediction tools in cardiovascular disease prevention: A report from the ESC Prevention of CVD Programme led by the European Association of Preventive Cardiology (EAPC) in collaboration with the Acute Cardiovascular Care Association (ACCA) and the Association of Cardiovascular Nursing and Allied Professions (ACNAP).

Risk assessment and risk prediction have become essential in the prevention of cardiovascular disease. Even though risk prediction tools are recommended in the European guidelines, they are not adequately implemented in clinical practice. Risk prediction tools are meant to estimate prognosis in an unbiased and reliable way and to provide objective information on outcome probabilities. They support informed treatment decisions about the initiation or adjustment of preventive medication. Risk prediction tools facilitate risk communication to the patient and their family, and this may increase commitment and motivation to improve their health. Over the years many risk algorithms have been developed to predict 10-year cardiovascular mortality or lifetime risk in different populations, such as in healthy individuals, patients with established cardiovascular disease and patients with diabetes mellitus. Each risk algorithm has its own limitations, so different algorithms should be used in different patient populations. Risk algorithms are made available for use in clinical practice by means of - usually interactive and online available - tools. To help the clinician to choose the right tool for the right patient, a summary of available tools is provided. When choosing a tool, physicians should consider medical history, geographical region, clinical guidelines and additional risk measures among other things. Currently, the U-prevent.com website is the only risk prediction tool providing prediction algorithms for all patient categories, and its implementation in clinical practice is suggested/advised by the European Association of Preventive Cardiology.

Do the 2017 blood pressure cut-offs improve 10-year cardiovascular disease mortality risk prediction?

Background and aimsHigh blood pressure (BP) is a significant predictor for cardiovascular disease (CVD) mortality. The 2017 American College of Cardiology/American Heart Association guideline reclassified the BP categories; however, its impact on CVD mortality prediction is still unclear. Our study aimed to examine whether the application of new BP cut-offs could improve 10-year CVD mortality prediction among US adults. Methods and resultsThis population-based cohort study linked data from the US National Health and Nutrition Examination Survey (1988–1994 and 1999–2004) and National Death Index (up to December 31, 2015). We constructed original and modified, using new BP cut-offs, Systematic COronary Risk Evaluation models to predict 10-year CVD mortality. We measured model discrimination and calibration using the Harrell's C statistic and calibration plots, respectively. We calculated the net reclassification index to evaluate the reclassification. In addition, we compared the sensitivity, specificity, predictive values (PVs), and likelihood ratios (LRs). Among 28,964 adults (aged ≥ 20 years), 1493 have died of CVD within ten years of follow-up. The modified models had improvements in calibration and reclassification instead of discrimination compared to the original models. The modified models have higher sensitivity and negative PV; however, they have lower specificity, positive PV, positive LR, and negative LR. ConclusionsThe modified models failed to improve the discrimination of 10-year CVD mortality. However, they could increase the calibration and reclassification and capture more participants with high CVD risk. More studies are needed on the potential use of the new BP cut-offs in the CVD primary prevention.

Association of predicted 10\xa0years cardiovascular mortality risk with duration of HIV infection and antiretroviral therapy among\xa0HIV-infected individuals\xa0in Durban, South Africa

BackgroundSouth Africa has the largest population of human immunodeficiency virus (HIV) infected patients on antiretroviral therapy (ART) realising the benefits of increased life expectancy. However, this population may be susceptible to cardiovascular disease (CVD) development, due to the chronic consequences of a lifestyle-related combination of risk factors, HIV infection and ART. We predicted a 10-year cardiovascular mortality risk in an HIV-infected population on long-term ART, based on their observed metabolic risk factor profile.MethodsWe extracted data from hospital medical charts for 384 randomly selected HIV-infected patients aged ≥ 30 years. We defined metabolic syndrome (MetS) subcomponents using the International Diabetes Federation definition. A validated non-laboratory-based model for predicting a 10-year CVD mortality risk was applied and categorised into five levels, with the thresholds ranging from very low-risk (< 5%) to very high-risk scores (> 30%).ResultsAmong the 384 patients, with a mean (± standard deviation) age of 42.90 ± 8.20 years, the proportion of patients that were overweight/obese was 53.3%, where 50.9% had low high-density lipoprotein (HDL) cholesterol and 21 (17.5%) had metabolic syndrome. A total of 144 patients with complete data allowed a definitive prediction of a 10-year CVD mortality risk. 52% (95% CI 44–60) of the patients were stratified to very low risk (< 5%) compared to 8% (95% CI 4–13) that were at a very high risk (> 30%) of 10-year CVD mortality. The CVD risk grows with increasing age (years), 57.82 ± 6.27 among very high risk and 37.52 ± 4.50; p < 0.001 in very low risk patients. Adjusting for age and analysing CVD risk mortality as a continuous risk score, increasing duration of HIV infection (p = 0.002) and ART (p = 0.007) were significantly associated with increased predicted 10 year CVD mortality risk. However, there was no association between these factors and categorised CVD mortality risk as per recommended scoring thresholds.ConclusionsApproximately 1 in 10 HIV-infected patients is at very high risk of predicted 10-year CVD mortality in our study population. Like uninfected individuals, our study found increased age as a major predictor of 10-year mortality risk and high prevalence of metabolic syndrome. Additional CVD mortality risk due to the duration of HIV infection and ART was seen in our population, further studies in larger and more representative study samples are encouraged. It recommends an urgent need for early planning, prevention and management of metabolic risk factors in HIV populations, at the point of ART initiation.

Design of the ZWOT-CASE study: an observational study on the effectiveness of an integrated programme for cardiovascular risk management compared to usual care in general practice

BackgroundCardiovascular diseases (CVD) contribute considerably to mortality and morbidity. Prevention of CVD by lifestyle change and medication is important and needs full attention.In the Netherlands an integrated programme for cardiovascular risk management (CVRM), based on the Chronic Care Model (CCM), has been introduced in primary care in many regions in recent years, but its effects are unknown.In the ZWOT-CASE study we will assess the effect of integrated care for CVRM in the region of Zwolle on two major cardiovascular risk factors: systolic blood pressure (SBP) and low-density lipoprotein cholesterol (LDL-cholesterol) in patients with or at high risk of CVD.MethodsThis study is a pragmatic observational study comparing integrated care for CVRM with usual care among patients aged 40–80 years with CVD (n = 370) or with a high CVD risk (n = 370) within 26 general practices. After 1 yr follow-up, primary outcomes (SBP and LDL-cholesterol level) are measured. Secondary outcomes include lifestyle habits (smoking, dietary habits, alcohol use, physical activity), risk factor awareness, 10-year risk of cardiovascular morbidity or mortality, health care consumption, patient satisfaction and quality of life.ConclusionThe ZWOT-CASE study will provide insight in the effects of integrated care for CVRM in general practice in patients with CVD or at high CVD risk.Trial registrationThe ZWOlle Transmural Integrated Care for CArdiovaScular Risk Management Study; ClinicalTrials.gov; Identifier: NCT03428061; date of registration: 09-02-2018; This study has been retrospectively registered.

189P - Estimating radiotherapy-induced cardiovascular mortality in female breast cancer patients

BackgroundRadiotherapy halves the recurrence risk and reduces breast cancer death after breast sparing surgery, but it is associated cardiac morbidity and mortality (1). The EBCTCG data demonstrates an excess cardiac mortality rate ratio of 4,1% per increased Gray (Gy) whole heart dose (2). The aim of this study is to create a clinical applicable risk assessment model to predict 10-year cardiovascular mortality in female breast cancer patients. MethodsBy integration of the SCORE (Systematic COronary Risk Evaluation) risk charts and data of the EBCTCG we were able to develop cardiovascular mortality risk charts based on mean heart dose, age, systolic blood pressure, smoking-status and cholesterol for high- and low-risk regions in Europe, for contemporary mean heart doses of 2Gy, 4Gy and 8Gy. ResultsWe will present tables showing the 10-year cardiovascular mortality based on mean heart dose, smoking status, age, systolic blood pressure and cholesterol for high- and low-risk regions in Europe. Below you find the risk table for 60-years old non-smoking women in low-risk regions. A 60-year old, non-smoking patient from France (low-risk region) with a cholesterol 220mg/dl and a systolic blood pressure of 140mmHg has a 10-year cardiovascular mortality risk of 1,0%, adding radiotherapy with a mean heart dose of 4Gy will increase it to 1,1% and doubling the heart dose to 8Gy results in a risk of 1,2%. In contrast, a 65 year old smoking patient living in Bosnia (high-risk region) with a cholesterol of 260 and a systolic blood pressure of 160mmHg has a 10-year cardiovascular mortality risk of 13,0%, adding radiotherapy with a mean heart dose of 4Gy will increase it to 14,3% and doubling the heart dose to 8Gy results in a risk of 15,7%.Table189PTableCholesterol: 200-250mg/ml Mean Heart DoseCholesterol: 250-300mg/ml Mean Heart DoseSBP0Gy2Gy4Gy8Gy0Gy2Gy4Gy8Gy180mmHg3,03,23,33,64,04,24,44,9160mmHg2,02,12,22,42,02,12,22,4140mmHg1,01,11,11,22,02,12,22,4120mmHg1,01,11,11,21,01,11,11,2 ConclusionsIntegrating cardiovascular risk tables and radiotherapy data are useful for patient individualized radiotherapy and cardiovascular prevention after breast cancer treatment. (1) Lancet 2011;378(9804):1707-16. (2) J Clin Oncol 2017;35(15):1641-1649. Legal entity responsible for the studyThe authors. FundingVrije Universiteit Brussel. DisclosureAll authors have declared no conflicts of interest.

Risk prediction tools in cardiovascular disease prevention: A report from the ESC Prevention of CVD Programme led by the European Association of Preventive Cardiology (EAPC) in collaboration with the Acute Cardiovascular Care Association (ACCA) and the Association of Cardiovascular Nursing and Allied Professions (ACNAP).

Risk assessment have become essential in the prevention of cardiovascular disease. Even though risk prediction tools are recommended in the European guidelines, they are not adequately implemented in clinical practice. Risk prediction tools are meant to estimate prognosis in an unbiased and reliable way and to provide objective information on outcome probabilities. They support informed treatment decisions about the initiation or adjustment of preventive medication. Risk prediction tools facilitate risk communication to the patient and their family, and this may increase commitment and motivation to improve their health. Over the years many risk algorithms have been developed to predict 10-year cardiovascular mortality or lifetime risk in different populations, such as in healthy individuals, patients with established cardiovascular disease and patients with diabetes mellitus. Each risk algorithm has its own limitations, so different algorithms should be used in different patient populations. Risk algorithms are made available for use in clinical practice by means of - usually interactive and online available - tools. To help the clinician to choose the right tool for the right patient, a summary of available tools is provided. When choosing a tool, physicians should consider medical history, geographical region, clinical guidelines and additional risk measures among other things. Currently, the U-prevent.com website is the only risk prediction tool providing prediction algorithms for all patient categories, and its implementation in clinical practice is suggested/advised by the European Association of Preventive Cardiology.

Risk prediction tools in cardiovascular disease prevention: A report from the ESC Prevention of CVD Programme led by the European Association of Preventive Cardiology (EAPC) in collaboration with the Acute Cardiovascular Care Association (ACCA) and the Association of Cardiovascular Nursing and Allied Professions (ACNAP).

Risk assessment and risk prediction have become essential in the prevention of cardiovascular disease. Even though risk prediction tools are recommended in the European guidelines, they are not adequately implemented in clinical practice. Risk prediction tools are meant to estimate prognosis in an unbiased and reliable way and to provide objective information on outcome probabilities. They support informed treatment decisions about the initiation or adjustment of preventive medication. Risk prediction tools facilitate risk communication to the patient and their family, and this may increase commitment and motivation to improve their health. Over the years many risk algorithms have been developed to predict 10-year cardiovascular mortality or lifetime risk in different populations, such as in healthy individuals, patients with established cardiovascular disease and patients with diabetes mellitus. Each risk algorithm has its own limitations, so different algorithms should be used in different patient populations. Risk algorithms are made available for use in clinical practice by means of - usually interactive and online available - tools. To help the clinician to choose the right tool for the right patient, a summary of available tools is provided. When choosing a tool, physicians should consider medical history, geographical region, clinical guidelines and additional risk measures among other things. Currently, the U-prevent.com website is the only risk prediction tool providing prediction algorithms for all patient categories, and its implementation in clinical practice is suggested/advised by the European Association of Preventive Cardiology.

Cognitive Function in Dementia-Free Subjects and Survival in Old Age: The PROSPER Study

BackgroundImpairment in domain-specific cognitive function is associated with the increased risk of mortality. We prospectively evaluated the association of executive function and memory with the risk of long-term mortality in dementia-free older subjects. Moreover, we investigated the role of structural brain abnormalities in this association. MethodsWe included 547 dementia-free participants (mean age 78 years, 56.5% male) from the nested magnetic resonance imaging sub-study of the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER). Cox proportional hazard models were used to model 10-year risk of all-cause, cardiovascular, and noncardiovascular mortality in relation to performance in executive function and memory. Moreover, we evaluated the role of total brain parenchymal volume, cerebral blood flow, white matter hyperintensity, and the presence of microbleeds and infarcts in the link between cognitive function and mortality. ResultsIn the multivariable model, lower performance in executive function was associated with greater risk of all-cause (hazard ratio [HR] 1.49; 95% confidence interval [CI], 1.31-1.70), cardiovascular (HR 1.69; 95% CI, 1.36-2.11), and noncardiovascular (HR 1.36; 95% CI, 1.15-1.62) mortality. Similarly, poorer performance in memory tests associated with higher risk of all-cause (HR 1.47; 95% CI, 1.29-1.68), cardiovascular (HR 1.45; 95% CI, 1.15-1.83), and noncardiovascular (HR 1.49; 95% CI, 1.27-1.76) mortality. The associations were similar in subjects with various levels of brain structural abnormalities and cerebral blood flow (all P for interaction ≫ .05). ConclusionsPoorer performance in both executive function and memory tests associates with all-cause, cardiovascular, and noncardiovascular mortality in elderly individuals. This association is independent of cardiovascular risk factors and diseases, brain structural abnormalities, and cerebral blood flow.

Subfoveal Choroidal Thickness, Cardiovascular History, and Risk Factors in the Elderly: The Montrachet Study.

To measure subfoveal choroidal thickness (SFCT) in the elderly and to determine the associations among SFCT, cardiovascular history, and the 10-year risk of fatal cardiovascular disease (CVD). We conducted a population-based study, the Montrachet (Maculopathy Optic Nerve, nuTRition neurovAsCular, and HEarT disease) study, in subjects older than 75 years. SFCT was measured with spectral-domain optical coherence tomography (SD-OCT) with enhanced-depth mode imaging. Participants underwent a comprehensive eye examination. The history of CVD, CVD risk factors, and a score-based estimation of their 10-year risk of cardiovascular mortality (Heart Score) were collected. Overall, 764 participants were retained for analysis. The mean SFCT was 206.4 ± 83.0 μm. The mean age was 81.9 ± 3.6 years. After a multivariable analysis, older age (β = -32.56 μm, P < 0.001) and longer axial length (β = -20.71 μm, P < 0.001) were independently associated with thinner SFCT. SFCT was not significantly associated with sex, cardiovascular history, classical CVD risk factors, or prognostic risk score. This study confirms that longer axial length and older age are associated with thinner SFCT. However, SFCT does not appear to be a biomarker for cardiovascular history in this study.

Association of Depression and Anxiety With the 10-Year Risk of Cardiovascular Mortality in a Primary Care Population of Latvia Using the SCORE System.

Background: Depression and anxiety have been recognized as independent risk factors for both the development and prognosis of cardiovascular (CV) diseases (CVD). The Systematic Coronary Risk Evaluation (SCORE) function measures the 10-year risk of a fatal CVD and is a crucial tool for guiding CV patient management. This study is the first in Latvia to investigate the association of depression and anxiety with the 10-year CV mortality risk in a primary care population.Methods: This cross-sectional study was conducted at 24 primary care facilities. During a 1-week period in 2015, all consecutive adult patients were invited to complete a nine-item Patient Health Questionnaire (PHQ-9) and a seven-item Generalized Anxiety Disorder scale (GAD-7) followed by sociodemographic questionnaire and physical measurements. The diagnostic Mini International Neuropsychiatric Interview (M.I.N.I.) was administered by telephone in the period of 2 weeks after the first contact at the primary care facility. A hierarchical multivariate analysis was performed.Results: The study population consisted of 1,569 subjects. Depressive symptoms (PHQ-9 ≥10) were associated with a 1.57 (95% confidence interval (CI): 1.06–2.33) times higher odds of a very high CV mortality risk (SCORE ≥10%), but current anxiety disorder (M.I.N.I.) reduced the CV mortality risk with an odds ratio of 0.58 (95% CI: 0.38–0.90).Conclusions: Our findings suggest that individuals with SCORE ≥10% should be screened and treated for depression to potentially delay the development and improve the prognosis of CVD. Anxiety could possibly have a protective influence on CV prognosis.

Sleep study-guided multidisciplinary therapy (SGMT) for patients with acute coronary syndrome: Trial rationale and design.

Obstructive sleep apnea (OSA) is an emerging risk marker for acute coronary syndrome (ACS). This randomized trial aims to determine the effects of sleep study-guided multidisciplinary therapy (SGMT) comprising overnight sleep study, continuous positive airway pressure, and behavioral therapy for OSA during the subacute phase of ACS. We hypothesize that SGMT will reduce (1) the plasma levels of N-terminal pro brain natriuretic peptide and suppression of tumorigenicity 2; (2) the estimated 10-year risk of cardiovascular mortality as measured by the European Systematic Coronary Risk Evaluation (SCORE) algorithm; and (3) the cardiovascular event rate during a 3-year follow-up, compared with standard therapy. In the SGMT trial, 180 patients presenting with ACS will be randomly assigned to SGMT (n = 90) and standard therapy (n = 90) groups. Both groups will receive guideline-mandated treatment for ACS. Those assigned to SGMT will additionally undergo a sleep study and, if OSA is diagnosed, attend a multidisciplinary OSA clinic where they will receive personalized treatment including continuous positive airway pressure and behavioral/lifestyle counseling. The primary endpoint is the plasma N-terminal pro brain natriuretic peptide concentration at 7-month follow-up. This report presents the baseline characteristics of 117 patients (SGMT group: n =54; standard therapy group: n =63) who had been enrolled into the study as of August 31, 2017. The results of this trial will help us to understand whether active OSA diagnosis and treatment will improve the physiologic and clinical cardiovascular outcomes of this group of patients.

Soy isoflavones improve cardiovascular disease risk markers in women during the early menopause

BackgroundHormone replacement therapy may be beneficial for cardiovascular disease risk (CVR) in post-menopausal women. Soy isoflavones may act as selective estrogen receptor modulators. The aim of this study was to evaluate whether soy isoflavones had an effect on CVR markers. MethodsThe expected 10-year risk of cardiovascular disease and mortality were calculated as a secondary endpoint from a double blind randomised parallel study involving 200 women (mean age 55 years, Caucasian, Hull, UK, 2012) in the early menopause who were randomised to 15 g soy protein with 66 mg isoflavone (SPI) or 15 g soy protein alone (depleted of all isoflavones; SP) given as a snack bar between meals daily for 6 months. Age, diabetes, smoking, blood pressure and lipid profiles were used to calculate CVR using the Framingham CVR engine. ResultsSPI treatment resulted in a significant reduction in the metabolic parameters and systolic blood pressure compared to SP (p < 0.01). There were no changes in fasting lipid profile and diastolic blood pressure with either treatment. At 6 months, changes in these parameters with SPI treatment were reflected in a calculated 27% (p < 0.01) reduction in 10 year coronary heart disease risk, a 37% (p < 0.01) reduction in myocardial infarction risk, a 24% (p < 0.04) reduction in cardiovascular disease and 42% (p < 0.02) reduction in cardiovascular disease death risk. ConclusionsSupplementation with soy protein with isoflavones for 6 months significantly improved CVR markers and calculated CVR at 6 months during early menopause compared to soy protein without isoflavones. ISRCTN registryISRCTN34051237.

Association between the retinal vascular network with Singapore "I" Vessel Assessment (SIVA) software, cardiovascular history and risk factors in the elderly: The Montrachet study, population-based study.

PurposeTo identify patterns summarizing the retinal vascular network in the elderly and to investigate the relationship of these vascular patterns with cardiovascular history.MethodsWe conducted a population-based study, the Montrachet study (Maculopathy Optic Nerve nuTRition neurovAsCular and HEarT diseases), in participants older than 75 years. The history of cardiovascular disease and a score-based estimation of their 10-year risk of cardiovascular mortality (Heart SCORE) were collected. Retinal vascular network analysis was performed by means of Singapore “I” Vessel Assessment (SIVA) software. Principal component analysis was used to condense the information contained in the high number of variables provided and to identify independent retinal vascular patterns.ResultsOverall, 1069 photographs (1069 participants) were reviewed with SIVA software. The mean age was 80.0 ± 3.8 years. We extracted three vascular patterns summarizing 41.3% of the vascular information. The most clinically relevant pattern, Sparse vascular network, accounted for 17.4% of the total variance. It corresponded to a lower density in the vascular network and higher variability in vessel width. Diabetic participants with hypoglycemic treatment had a sparser vascular network pattern than subjects without such treatment (odds ratio, [OR], 1.68; 95% CI, 1.04–2.72; P = 0.04). Participants with no history of cardiovascular disease who had a sparser vascular network were associated with a higher Heart SCORE (OR, 1.76; 95% CI, 1.08–2.25; P = 0.02).ConclusionsThree vascular patterns were identified. The Sparse vascular network pattern was associated with having a higher risk profile for cardiovascular mortality risk at 10 years.