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Background: Cardiovascular disease (CVD) is a major cause of mortality among people living with HIV (PLWH). We aimed to assess the prevalence of diagnosed CVD and the risk of CVD among PLWH using 5 different tools. Methods: This retrospective, cross-sectional study was conducted in 20 tertiary centers in Türkiye between October 2021 and March 2022, among 1425 PLWH aged 40-75 years. About 82.7% were male, with a median age of 51. Web-based tools for each score were used for CVD risk calculations. Results: Of 1425 PLWH enrolled, 10.8% had confirmed CVD, and 1132 had their risk scores evaluated. Of those participants, 42.8% had a higher risk of CVD (10-year risk of atherosclerotic CVD risk score (ASCVD) above 7.5%), and according to the European Society of Cardiology systemic coronary risk evaluation 2 (SCORE2), 71.7% had a high- to very high-risk rate. The agreement between various CVD risk tools varied, with Framingham heart study risk score (FRS), modified FRS, data collection on adverse effects of anti-HIV drugs (DAD), and SCORE2 for high-risk countries showing overall agreement rates of 82%, 94%, 91%, and 36%, respectively, compared to ASCVD. According to the 2021 European and 2019 American Cardiology guidelines, 75.3% and 47.1% of PLWH would be eligible for lipid-lower-ing agents, respectively. Conclusion: The diagnosed CVD prevalence highlighted the importance of monitoring cardiovascular health and comorbidities in this population. SCORE2 identified a greater number of individuals at high/very high risk compared to other prediction tools. The implementation of CVD prevention through lipid-lowering therapy was far from desired levels in our cohort. [ABSTRACT FROM AUTHOR]

Alzheimer's Disease (AD) neuropathology start decades before clinical manifestations, but whether risk factors are associated with early cognitive and brain changes in midlife remains poorly understood. We examined whether AD risk factors were associated with cognition and functional connectivity (FC) between the Locus Coeruleus (LC) and hippocampus – two key brain structures in AD neuropathology – cross-sectionally and longitudinally in cognitively healthy midlife individuals. Neuropsychological assessments and functional Magnetic Resonance Imaging were obtained at baseline (N=210), and two-years follow-up (N=188). Associations of cognition and FC with apolipoprotein ε4 (APOE ε4) genotype, family history of dementia, and the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) score were investigated. Cross-sectionally, higher CAIDE scores were associated with worse cognition. Menopausal status interacted with the CAIDE risk on cognition. Furthermore, the CAIDE score significantly moderated the relationship between cognition and LC–Hippocampus FC. Longitudinally, the LC–Hippocampus FC decreased significantly over 2 years. These results suggest that cardiovascular risk of dementia is associated with brain–behaviour changes in cognitively healthy, middle-aged individuals. • High cardiovascular dementia (CAIDE) risk was associated with worse cognition. • The LC–Hippocampus functional connectivity decreased significantly over 2 years. • CAIDE risk moderated the association of LC–Hippocampus connectivity to cognition. [ABSTRACT FROM AUTHOR]

AIM: The "2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery" provides recommendations to guide clinicians in the perioperative cardiovascular evaluation and management of adult patients undergoing noncardiac surgery. METHODS: A comprehensive literature search was conducted from August 2022 to March 2023 to identify clinical studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. STRUCTURE: Recommendations from the "2014 ACC/AHA Guideline on Perioperative Cardiovascular Evaluation and Management of Patients Undergoing Noncardiac Surgery" have been updated with new evidence consolidated to guide clinicians; clinicians should be advised this guideline supersedes the previously published 2014 guideline. In addition, evidence-based management strategies, including pharmacological therapies, perioperative monitoring, and devices, for cardiovascular disease and associated medical conditions, have been developed. [ABSTRACT FROM AUTHOR]

Introduction: This study aimed to identify the factors most strongly associated with an increased atherosclerotic cardiovascular disease (ASCVD) risk score in patients with type 2 diabetes (T2D). Methods: This cross-sectional study included 4698 patients with T2D over an 11-year period (2010–2021). Patients were categorized into four groups based on their 10-year ASCVD risk score (< 5%, 5–7.5%, 7.5–20%, and > 20%). Multinominal regression analysis was used to evaluate the association between various modifiable and non-modifiable risk factors and the ASCVD risk score. Results: Of the patients, 35.9% had a 10-year ASCVD risk score below 5%, 12.6% had a score between 5% and 7.5%, 30.8% had a score between 7.5% and 20%, and 19.7% had a score above 20%. Higher ASCVD risk scores were significantly associated with elevated waist-to-hip ratio (WHR > 0.93), pulse pressure, uric acid, triglycerides, and decreased glomerular filtration rate (all p-values < 0.05). WHR demonstrated the strongest association with higher ASCVD risk scores (OR: 4.55, 95% CI: 2.94–7.03, p < 0.001) when comparing patients with ASCVD scores > 5% to those with scores < 5%. Conclusion: WHR was independently associated with higher ASCVD risk scores in patients with T2D. Incorporating WHR, along with traditional risk factors, could improve ASCVD risk assessments in this population. [ABSTRACT FROM AUTHOR]

Abstract Introduction This study aimed to identify the factors most strongly associated with an increased atherosclerotic cardiovascular disease (ASCVD) risk score in patients with type 2 diabetes (T2D). Methods This cross-sectional study included 4698 patients with T2D over an 11-year period (2010–2021). Patients were categorized into four groups based on their 10-year ASCVD risk score ( 20%). Multinominal regression analysis was used to evaluate the association between various modifiable and non-modifiable risk factors and the ASCVD risk score. Results Of the patients, 35.9% had a 10-year ASCVD risk score below 5%, 12.6% had a score between 5% and 7.5%, 30.8% had a score between 7.5% and 20%, and 19.7% had a score above 20%. Higher ASCVD risk scores were significantly associated with elevated waist-to-hip ratio (WHR > 0.93), pulse pressure, uric acid, triglycerides, and decreased glomerular filtration rate (all p-values 5% to those with scores

Introduction: People living with human immunodeficiency virus (PLHIV) are known to have an increased prevalence of traditional cardiovascular risk factors and are at a higher risk of cardiovascular disease (CVD). This study was done to assess the CVD risk factors in treatment naïve PLHIV in a center of the national program. Methods: In this cross-sectional explorative study, traditional CVD risk factors were assessed, and 10-year Framingham and atherosclerotic cardiovascular disease (ASCVD) risk score were calculated in treatment naïve PLHIV attending the antiretroviral therapy (ART) center, IMS, BHU. Results: The study included 337 ART naïve patients. The prevalence of CVD risk factors in treatment naïve PLHIV - were low high-density lipoprotein cholesterol levels (81.4%), high triglyceride levels (32.7%), smoking (32.3%), obesity (13.6%), hypertension (5%), diabetes (2.7%), and high low-density lipoprotein cholesterol levels (2.1%). Moderate-to-high 10-year Framingham Risk Score and American Heart Association/American College of Cardiology 10-year ASCVD risk score were 10.8% and 8.9%, respectively. In Framingham Risk Score, age ≥40 years (odds ratio [OR] - 131) (95% confidence interval [CI] - 6.5–1043) alcohol intake (OR - 5.14 [95% CI - 1.82–14.46] and presence of tuberculosis (OR - 4.78) (95% CI - 1.48-15.40), while in ASCVD risk score history of alcohol intake (OR - 26.20 [95% CI - 3.1-216.8] were at higher risk of CVD in multivariate variate analysis. Conclusion: CVD risk factors were common among ART naïve patient. Thus, screening, education, and treatment of CVD risk factors should be done in these patients at initiation of care.

Introduction: People living with human immunodeficiency virus (PLHIV) are known to have an increased prevalence of traditional cardiovascular risk factors and are at a higher risk of cardiovascular disease (CVD). This study was done to assess the CVD risk factors in treatment naïve PLHIV in a center of the national program. Methods: In this cross-sectional explorative study, traditional CVD risk factors were assessed, and 10-year Framingham and atherosclerotic cardiovascular disease (ASCVD) risk score were calculated in treatment naïve PLHIV attending the antiretroviral therapy (ART) center, IMS, BHU. Results: The study included 337 ART naïve patients. The prevalence of CVD risk factors in treatment naïve PLHIV - were low high-density lipoprotein cholesterol levels (81.4%), high triglyceride levels (32.7%), smoking (32.3%), obesity (13.6%), hypertension (5%), diabetes (2.7%), and high low-density lipoprotein cholesterol levels (2.1%). Moderate-to-high 10-year Framingham Risk Score and American Heart Association/American College of Cardiology 10-year ASCVD risk score were 10.8% and 8.9%, respectively. In Framingham Risk Score, age ≥40 years (odds ratio [OR] - 131) (95% confidence interval [CI] - 6.5–1043) alcohol intake (OR - 5.14 [95% CI - 1.82–14.46] and presence of tuberculosis (OR - 4.78) (95% CI - 1.48-15.40), while in ASCVD risk score history of alcohol intake (OR - 26.20 [95% CI - 3.1-216.8] were at higher risk of CVD in multivariate variate analysis. Conclusion: CVD risk factors were common among ART naïve patient. Thus, screening, education, and treatment of CVD risk factors should be done in these patients at initiation of care. [ABSTRACT FROM AUTHOR]

Persons with HIV (PWH) face an increased risk of cardiovascular events due to immune activation, comorbidities, and certain antiretrovirals (ARVs). However, the current cardiovascular risk (CVR) scores are not specifically directed toward PWH. This study aimed to assess the agreement between different predictive CVR scores and explore their relationship with clinical and demographic data in Mexican PWH. A descriptive cross-sectional analysis was conducted in 200 PWH with a mean age of 42 years who were treated at a Mexican urban center from 2017 to 2018. The majority (83%) was on ARV treatment and 79.5% had undetectable viral loads (VLs). Moderate- to high-risk scores were infrequent, with Framingham Risk Score for Hard Coronary Heart Disease scores showing higher values, with very low concordance among all scores. Logistic regression analysis revealed significant associations between the CVR scores and the initial recorded VL, CD4 cell count, and elevated triglyceride levels. However, no associations were found with measures such as body mass index or abdominal circumference. Treatment with integrase strand transfer inhibitors (INSTIs), particularly first-generation inhibitors, showed strong associations with all predictive scores, notably ASCVD (odds ratio = 7.03, 95% confidence interval 1.67–29.64). The poor concordance among the CVR scores in PWH highlights the need for a specific score that considers comorbidities and ARV drugs. Despite the relatively young age of the participants, significant correlations were observed between INSTI use, initial VL, CD4 cell count, and triglyceride levels, which are factors not considered in the existing risk scores. Regardless of the actual value of the scores, screening for CVR in PWH is recommended. [ABSTRACT FROM AUTHOR]

Background Cardiovascular disease risk assessment is a key tool in primary prevention. The ADRS (Abu Dhabi Risk Study) is a retrospective cohort study aiming to develop 10‐year risk prediction equations for coronary artery disease (CAD), stroke, and atherosclerotic cardiovascular disease (ASCVD), and validate international risk equations. Methods and Results The 8699 participants were examined in the Abu Dhabi cardiovascular screening program from 2011 to 2013 with a subsequent average follow‐up of 9.2 years. They were assessed in 2023 for new CAD, admissions for acute coronary syndrome, or stroke. The validation cohort, 2554 subjects, is from the 2016 to 2017 Abu Dhabi community screening program, with 6.67 years average follow‐up. Of 8504 ASCVD‐free subjects, 250 experienced new CAD events. ASCVD risk factors in this population were age, sex, smoking, high cholesterol/high‐density lipoprotein ratio, and diabetes diagnosis, in addition to low vitamin D level and low glomerular filtration rate. Three ADRS prediction models were derived using Cox regression. The ADRS‐CAD had a C statistic of 0.899 (0.882–0.916) compared with 0.828 (0.803–0.852) for the Framingham Risk Score in the same sample. ADRS‐stroke had a C statistic of 0.904 (0.865–0.944). The ADRS‐ASCVD had a C statistic of 0.898 (0.883–0.913) compared with 0.891 (0.875–0.907) of pooled cohort equations and 0.825 (0.802–0.847) for Framingham Risk Score‐cardiovascular disease. Applying our formulas to the validation cohort yielded C statistics of 0.825 (0.803–0.846), 0.799 (0.774–0.824), and 0.761 (0.71–0.813) for ASCVD, CAD, and stroke, respectively. The pooled cohort equations in this cohort had a C statistic for ASCVD of 0.824 (0.802–0.846). Conclusions This study demonstrates the value of tailoring risk assessments to local populations and health care contexts.

BACKGROUND: Life’s Simple 7 (LS7) is an easily calculated and interpreted metric of cardiovascular health based on 7 domains: smoking, diet, physical activity, body mass index, blood pressure, cholesterol, and fasting glucose. The Life’s Essential 8 (LE8) metric was subsequently introduced, adding sleep metrics and revisions of the previous 7 domains. Although calculating LE8 requires additional information, we hypothesized that it would be a more reliable index of cardiovascular health. METHODS: Both the LS7 and LE8 metrics yield scores with higher values indicating lower risk. These were calculated among 11609 Black and White participants free of baseline cardiovascular disease (CVD) in the Reasons for Geographic and Racial Differences in Stroke study, enrolled in 2003 to 2007, and followed for a median of 13 years. Differences in 10-year risk of incident CVD (coronary heart disease or stroke) were calculated as a function LS7, and LE8 scores were calculated using Kaplan-Meier and proportional hazards analyses. Differences in incident CVD discrimination were quantified by difference in the c-statistic. RESULTS: For both LS7 and LE8, the 10-year risk was approximately 5% for participants around the 99th percentile of scores, and a 4× higher 20% risk for participants around the first percentile. Comparing LS7 to LE8, 10-year risk was nearly identical for individuals at the same relative position in score distribution. For example, the “cluster” of 2013 participants with an LS7 score of 7 was at the 35.8th percentile in distribution of LS7 scores, and had an estimated 10-year CVD risk of 8.4% (95% CI, 7.2%–9.8%). In a similar location in the LE8 distribution, the 1457 participants with an LE8 score of 60±2.5 at the 39.4th percentile of LE8 scores had a 10-year risk of CVD of 8.5% (95% CI, 7.1%–10.1%), similar to the cluster defined by LS7. The age-race-sex adjusted c-statistic of the LS7 model was 0.691 (95% CI, 0.667–0.705), and 0.695 for LE8 (95% CI, 0.681–0.709) (P for difference, 0.12). CONCLUSIONS: Both LS7 and LE8 were associated with incident CVD, with discrimination of the 2 indices practically indistinguishable. As a simpler metric, LS7 may be favored for use by the general population and clinicians. [ABSTRACT FROM AUTHOR]

Introduction: Child marriage, defined as marriage before the age of 18 years, is a precocious transition from adolescence to adulthood, which may take a long-term toll on health. Aim: This study aims to assess whether child marriage was associated with added risk of adverse cardiovascular outcomes in a nationally representative sample of Indian adults. Methods: Applying the non-laboratory-based Framingham algorithm to data on 336,953 women aged 30–49 years and 49,617 men aged 30–54 years, we estimated individual's predicted heart age (PHA). Comparing the PHA with chronological age (CA), we categorized individuals in four groups: (i) low PHA: PHA < CA, (ii) equal PHA: PHA = CA (reference category), (iii) high PHA: PHA > CA by at most 4 years, and (iv) very high PHA: PHA > CA by 5 + years. We estimated multivariable multinomial logistic regressions to obtain relative risks of respective categories for the child marriage indicator. Results: We found that women who were married in childhood had 1.06 (95% CI 1.01–1.10) and 1.22 (95% CI 1.16–1.27) times higher adjusted risks of having high and very high PHA, respectively, compared to women who were married as adults. For men, no differential risks were found between those who were married as children and as adults. These results were generally robust across various socioeconomic sub-groups. Conclusions: These findings add to the relatively new and evolving strand of literature that examines the role of child marriage on later life chronic health outcomes and provide important insights for public health policies aimed at improving women's health and wellbeing. [ABSTRACT FROM AUTHOR]

Abstract Objective Methods and measures Results Conclusion To test the hypothesis of low emotional support being associated with lifestyle and biomedical cardiovascular disease (CVD) risk factors, estimated risk of CVD morbidity and mortality, and subclinical atherosclerosis in middle-aged healthy adults.Cross-sectional data were obtained from participants aged 40–60 years who had one or more conventional CVD risk factor. They underwent assessment based on questionnaires, clinical examination, blood sampling, and carotid ultrasound of plaque formation and carotid intima-media wall thickness (cIMT). Based on the Interview Schedule for Social Interaction, the participants were categorised as either low in emotional support (n = 884) or as a referent (n = 2570). Logistic regression analyses were conducted to study the associations.Logistic regression analyses showed that low emotional support was significantly associated with smoking, alcohol consumption and physical inactivity (OR = 1.53 − 1.94), estimated risk of CVD morbidity and mortality (OR = 1.56 − 1.68), and plaque formation (OR = 1.39). No significant associations were found regarding biomedical CVD risk factors or cIMT.The findings suggest that low social support is associated with lifestyle CVD risk factors, estimated risk of CVD morbidity and mortality, and subclinical atherosclerosis in middle-aged healthy adults, encouraging causal evaluation with longitudinal data investigating an impact of emotional support on mechanisms underlying CVD. [ABSTRACT FROM AUTHOR]

Objective: It is very important to identify individuals at high risk of atherosclerotic cardiovascular diseases (ASCVD) and for this purpose, many risk calculation tools and parameters are used. In this study, we aimed to investigate the correlation between the ACC/AHA cardiovascular risk and serum lipid indices and high sensitivity C-reactive protein (hs-CRP) in a healthy population. Methods: Our study was conducted retrospectively on individuals aged between 40 and 79 years and with sufficient data, using the hospital database. Patients with a history of any chronic disease and active infection were excluded. Individuals were analyzed by grouping them into low (5%) estimated 10-year risk of ASCVD. Results: 184 individuals with a median age of 46 and 37.5% women were included in the study. The median 10-year estimated risk of ASCVD in the study population was 3% (1.3/5.98). The low-risk group had a significantly lower atherogenic index of plasma (AIP), Castelli I risk index (CR-I), and Castelli II risk index (CR-II) compared to the borderline to high-risk group (p

Framingham risk score (FRS), systematic coronary risk evaluation (SCORE), the 10-year atherosclerotic cardiovascular disease risk algorithm (ASCVD), and their modified risk scores are the most common cardiovascular risk scores. The aim of this case–control study was to evaluate the performance of cardiovascular risk scores in detecting carotid subclinical atherosclerosis (SCA) in patients with idiopathic inflammatory myopathies (IIMs). A total of 123 IIMs patients (71.5% female, mean age 50 ± 14 years) and 123 age- and gender-matched healthy controls were included in this study. Carotid SCA was more prevalent in IIMs patients compared with controls (77.2 vs 50.4%, P < 0.001). Moreover, patients with carotid SCA+ had older age, and all risk scores were significantly higher in IIMs patients with SCA+ compared to subjects with SCA− (all P < 0.001). According to FRS, SCORE, and ASCVD risk scores, 77.9, 96.8, and 66.7% patients with SCA+ were classified as low risk category, respectively. The modified scores also demonstrated a modest improvement in sensitivity. Notably, by adopting the optimal cutoff values, these risk scores had good discrimination on patients with SCA+, with area under curves of 0.802–0.893. In conclusion, all cardiovascular risk scores had a poor performance in identifying IIMs patients at high cardiovascular risk.

Background: Coronary heart disease, peripheral arterial disease, cerebrovascular disease, congenital and rheumatic heart illnesses are among the heart and blood vessel disorders classified as cardiovascular diseases (CVDs). Sudden premature cardiovascular deaths among apparently healthy population can be well prevented by the early recognition of cardiovascular risk factors using validated cardiovascular risk prediction tools. Aims and Objectives: The World Health Organization/international society of hypertension (WHO/ISH) Risk Prediction Charts was utilized to estimate the upcoming 10-year risk of CVD events, and the study’s objectives were to identify the risk factors for high CVD risk among urban residents aged ≥40–79 years in Tamil Nadu State, South India. Materials and Methods: A total of 350 participants were selected for a community-based cross-sectional study using a two-stage selection technique. A pretested questionnaire, anthropometry and laboratory research were used to acquire the required data. Finding the relationship between the risk factors and high CVD risk among the subjects was done using both univariate and multivariate regression analysis. Results: Mean age of subjects was 55.6 years. Hypertensives and diabetics were 35.4% and 27.4%, respectively. An alarming 75.1% subjects were either overweight or obese. The WHO/ISH chart categorized 20.9% subjects with >10% risk of impending CVDs. Risk factors which independently influenced high cardiovascular risk were “being unmarried” (adjusted odds ratio [aOR] 31.76; 95% CI; P=0.009), “positive family history” (aOR 4.13; P=0.017), “Sedentary Occupation” (aOR 3.18; P=0.036), and “alcohol usage” (aOR 3.03; 95% CI [1.06–10.27]; P=0.039). Conclusion: The study has identified that more than one-fifth of the subjects were under the >10% CVD risk category thereby underscoring the immediate need for inclusion of CVD risk scoring tools in routine screening programs in all levels of health care settings as an effective health promotion strategy in curtailing the escalating incidence of CVDs events worldwide.

• Subclinical coronary atherosclerosis is frequent (42%) in SSc patients and is mainly associated with the dysmetabolic syndrome and other atherosclerotic lesions (carotid plaque or peripheral artery disease). • All most common cardiovascular risk scores (SCORE 2, QRISK, CUORE, Framingham risk score, and MESA-CAC) seem to have similar ability to discriminate the presence of coronary artery calcifications, with the best performance of SCORE 2. The evaluation of these scores is recommended for a more complete assessment of SSc patients and to identify patients for earlier preventive therapy. • Pulmonary arterial hypertension PAH remains the leading cause of the occurrence of major cardiovascular events in five years of follow-up in SSc patients; even though a high prevalence of a "not pure" pattern of PAH (associated with subclinical coronary atherosclerosis) is evidenced for the first time. Particular clinical attention should be paid to this group of patients, applying more aggressive therapeutic strategies to improve the survival in SSc patients. Spreading data describe cardiovascular disease (CVD) as a growing cause of hospitalization in systemic sclerosis (SSc) patients. Although interstitial lung disease and pulmonary arterial hypertension (PAH) remain the principal causes of mortality, the presence of CVD has been shown to further increase mortality in SSc patients. Few and contrasting data are available on cardiovascular impairment, particularly of subclinical coronary arteries disease, in SSc patients. The aims of this study were: 1) to determine the demographic, clinical, and cardiovascular differences between the groups of SSc patients with and without subclinical coronary atherosclerosis (SCA) assessed by coronary calcium score; 2) to verify the performance of cardiovascular risk scores in SSc for detection of SCA major cardiovascular events (MCVE); 3) to evaluate the risk factors associated to MCVE in 5 years of follow-up in this study group of patients. Sixty-seven SSc patients were enrolled in this study. SCA was assessed using quantification of coronary calcium score by computerized tomography, reported as Agatson. Evaluation of common cardiovascular risk scores, carotid plaques by Doppler ultrasonography, the history of peripheral artery disease (PAD), lipid profiles, and clinical and laboratiristic characteristics of SSc were assessed at baseline visits for each patient. Factors associated with the presence of SCA were assessed by multivariate logistic analysis. A five years prospective study was performed for the evaluation of MCVE occurrence and its possible predictors. The prevalence of SCA was 42% (Agatston scores of 266.04 ± 455.9 units) in our group of SSc patients. Patients with SCA were principally older (p = 0.0001) and had higher rates of CENP-B antibodies (57% vs 26%; p = 0.009), pulmonary arterial hypertension (PAH) (25% vs 3%; p = 0.008), dysphagia (86% vs 61%; p = 0.027), and users of statins (36% vs 8%; p = 0.004), carotid plaque (82% vs 13%; p = 0.0001), PAD (79% vs 18%; p = 0.0001), and metabolic syndrome (25% vs 0%; p = 0.002) than patients without SCA. Metabolic syndrome (OR: 8.2, p = 0.0001), presence of a PAD (OR: 5.98, p = 0.031), and carotid plaque (OR: 5.49, p = 0.010) were the main factors associated with SCA in SSc patients, by multivariate regression analysis. MCVE occurred in 7 patients. By multivariate COX regression analysis unique predictor of MCVE in 5 years of follow-up in our SSc patients was the presence of PAH (HR: 10.33, p = 0.009). Of note, the contemporary presence of PAH and SCA (defined as "not pure" pattern of PAH) was observed in 71% of patients with the occurrence of MCVE This study evidenced the high presence of the new "not pure" pattern of PAH, which could worsen the outcome in SSc in a medium-term (5 years) observation period. Furthermore, our data confirmed a higher cardiovascular impairment in SSc due to the presence of both SCA, mainly associated with typical cardiovascular risk factors, and PAH, life-threatening complications of SSc, that is the principal cause of the occurrence of MCVE in our SSc patients. A careful assessment of cardiovascular involvement in SSc and a more aggressive therapeutic strategy for preventing CAD and treating PAH should be highly suggested to reduce MCVE in SSc patients. [ABSTRACT FROM AUTHOR]

BACKGROUND: Contemporary cardiovascular primary prevention is based on the assessment of the 10-year risk of atherosclerotic cardiovascular disease (ASCVD). However, the clinical implications of temporal change in the 10-year ASCVD risk estimate (∆10-year ASCVD risk/year) are unknown. METHODS: A total of 211 077 participants without established ASCVD and with repetitive 10-year ASCVD risk assessment at an interval of 4 to 5 years were selected from the Korean National Health Insurance Service data. The primary end point was a composite of myocardial infarction, stroke, coronary revascularization, and all-cause death. RESULTS: ASCVD event rates were proportional to the ∆10-year ASCVD risk/year regardless of the baseline 10-year ASCVD risk. Adjusted hazard ratio for ASCVD events per 1% increase in ∆10-year ASCVD risk/year was 1.53 (95% CI, 1.44–1.63), 1.24 (95% CI, 1.15–1.32), 1.18 (95% CI, 1.13–1.23), and 1.05 (95% CI, 1.00–1.10) in those with a baseline 10-year ASCVD risk of <5%, 5% to 7.5%, 7.5% to 20%, and ≥20%, respectively. Appropriate control of risk factors, including low-density lipoprotein cholesterol, blood pressure, body mass index, exercise habits, and smoking status, was associated with lower ASCVD event rates, whereas failure to control these risk factors resulted in higher ASCVD event rates. CONCLUSIONS: The temporal change in 10-year ASCVD risk over a period of 4 to 5 years reflects success or failure in controlling major cardiovascular risk factors and indicates the risk of future ASCVD events. The ∆10-year ASCVD risk/year can be used as an indicator of primary prevention and guide the application of preventive measures. [ABSTRACT FROM AUTHOR]

Copyright of Revista Española de Cardiología (18855857) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Sakarya Tıp Dergisi is the property of Sakarya Tip Dergisi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Dietary (poly)phenol consumption is inversely associated with cardiovascular disease (CVD) risk in epidemiological studies, but little is known about the role of the gut microbiome in this relationship. Methods: In 200 healthy females, aged 62.0 ± 10.0 years, from the TwinsUK cohort, 114 individual (poly)phenol metabolites were measured from spot urine using ultra-high-performance liquid chromatography–mass spectrometry. The associations between metabolites, the gut microbiome (alpha diversity and genera), and cardiovascular scores were investigated using linear mixed models adjusting age, BMI, fibre, energy intake, family relatedness, and multiple testing (FDR < 0.1). Results: Significant associations were found between phenolic acid metabolites, CVD risk, and the gut microbiome. A total of 35 phenolic acid metabolites were associated with the Firmicutes phylum, while 5 metabolites were associated with alpha diversity (FDR-adjusted p < 0.05). Negative associations were observed between the atherosclerotic CVD (ASCVD) risk score and five phenolic acid metabolites, two tyrosol metabolites, and daidzein with stdBeta (95% (CI)) ranging from −0.05 (−0.09, −0.01) for 3-(2,4-dihydroxyphenyl)propanoic acid to −0.04 (−0.08, −0.003) for 2-hydroxycinnamic acid (FDR-adjusted p < 0.1). The genus 5-7N15 in the Bacteroidetes phylum was positively associated with the same metabolites, including 3-(3,5-dihydroxyphenyl)propanoic acid, 3-(2,4-dihydroxyphenyl)propanoic acid, 3-(3,4-dihydroxyphenyl)propanoic acid), 3-hydroxyphenylethanol-4-sulfate, and 4-hydroxyphenylethanol-3-sulfate)(stdBeta (95% CI): 0.23 (0.09, 0.36) to 0.28 (0.15, 0.42), FDR-adjusted p < 0.05), and negatively associated with the ASCVD score (stdBeta (95% CI): −0.05 (−0.09, −0.01), FDR-adjusted p = 0.02). Mediation analysis showed that genus 5-7N15 mediated 23.8% of the total effect of 3-(3,4-dihydroxyphenyl)propanoic acid on the ASCVD score. Conclusions: Coffee, tea, red wine, and several vegetables and fruits, especially berries, are the most abundant food sources of phenolic acids that have the strongest associations with CVD risk. We found that the gut microbiome, particularly the genus 5-7N15, partially mediates the negative association between urinary (poly)phenols and cardiovascular risk, supporting a key role of the gut microbiome in the health benefits of dietary (poly)phenols. [ABSTRACT FROM AUTHOR]

Background: Coronary heart disease, peripheral arterial disease, cerebrovascular disease, congenital and rheumatic heart illnesses are among the heart and blood vessel disorders classified as cardiovascular diseases (CVDs). Sudden premature cardiovascular deaths among apparently healthy population can be well prevented by the early recognition of cardiovascular risk factors using validated cardiovascular risk prediction tools. Aims and Objectives: The World Health Organization/international society of hypertension (WHO/ISH) Risk Prediction Charts was utilized to estimate the upcoming 10-year risk of CVD events, and the study's objectives were to identify the risk factors for high CVD risk among urban residents aged =40-79 years in Tamil Nadu State, South India. Materials and Methods: A total of 350 participants were selected for a community-based cross-sectional study using a two-stage selection technique. A pretested questionnaire, anthropometry and laboratory research were used to acquire the required data. Finding the relationship between the risk factors and high CVD risk among the subjects was done using both univariate and multivariate regression analysis. Results: Mean age of subjects was 55.6 years. Hypertensives and diabetics were 35.4% and 27.4%, respectively. An alarming 75.1% subjects were either overweight or obese. The WHO/ISH chart categorized 20.9% subjects with >10% risk of impending CVDs. Risk factors which independently influenced high cardiovascular risk were "being unmarried" (adjusted odds ratio [aOR] 31.76; 95% CI; P=0.009), "positive family history" (aOR 4.13; P=0.017), "Sedentary Occupation" (aOR 3.18; P=0.036), and "alcohol usage" (aOR 3.03; 95% CI [1.06-10.27]; P=0.039). Conclusion: The study has identified that more than one-fifth of the subjects were under the >10% CVD risk category thereby underscoring the immediate need for inclusion of CVD risk scoring tools in routine screening programs in all levels of health care settings as an effective health promotion strategy in curtailing the escalating incidence of CVDs events worldwide. [ABSTRACT FROM AUTHOR]

Copyright of Hungarian Medical Journal / Orvosi Hetilap is the property of Akademiai Kiado and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Framingham risk score (FRS), systematic coronary risk evaluation (SCORE), the 10-year atherosclerotic cardiovascular disease risk algorithm (ASCVD), and their modified risk scores are the most common cardiovascular risk scores. The aim of this case-control study was to evaluate the performance of cardiovascular risk scores in detecting carotid subclinical atherosclerosis (SCA) in patients with idiopathic inflammatory myopathies (IIMs). A total of 123 IIMs patients (71.5% female, mean age 50 ± 14 years) and 123 age- and gender-matched healthy controls were included in this study. Carotid SCA was more prevalent in IIMs patients compared with controls (77.2 vs 50.4%, P < 0.001). Moreover, patients with carotid SCA+ had older age, and all risk scores were significantly higher in IIMs patients with SCA+ compared to subjects with SCA - (all P < 0.001). According to FRS, SCORE, and ASCVD risk scores, 77.9, 96.8, and 66.7% patients with SCA+ were classified as low risk category, respectively. The modified scores also demonstrated a modest improvement in sensitivity. Notably, by adopting the optimal cutoff values, these risk scores had good discrimination on patients with SCA+, with area under curves of 0.802-0.893. In conclusion, all cardiovascular risk scores had a poor performance in identifying IIMs patients at high cardiovascular risk. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular risks are raised in cancer survivors but cancer history is not included in cardiovascular risk scores that inform preventive decisions. Aim: To assess whether cancer diagnosis should be included in cardiovascular risk scores. Design and setting: Cohort study using data from English general practices linked to hospital, cancer registration, and death registration data from 1990 to 2015. Method: Adults alive 1 year after a first cancer diagnosis and age, sex, general practice, and calendar- time matched cancer-free individuals were included. Individuals with <2 years of follow-up before index, recent statin prescriptions, or pre-existing coronary heart or cerebrovascular disease were excluded. Cox proportional hazard models used to develop QRISK3 scores were replicated with added cancer history variables. Whether independent hazard ratios for these variables met thresholds for inclusion in QRISK3 (>10% relative difference with P<0.01) was assessed. Results: In total, 81 420 cancer survivors and 413 547 cancer-free individuals were followed for a median 5.2 years (interquartile range [IQR] 2.8– 9.1) and 6.3 years (IQR 3.5–10.2), respectively. Including a 1-year cancer survivorship variable in a QRISK3-based model met the threshold for inclusion for males (independent hazard ratio [iHR] 1.16, 95% confidence interval [CI] = 1.11 to 1.20, P<0.001) but not females (iHR 1.07, 95% CI = 1.01 to 1.14, P = 0.02). When including cancer type, the threshold was met for both sexes with history of haematological cancer (males: iHR 1.27, 95% CI = 1.16 to 1.40, P <0.001; females: iHR 1.59, 95% CI = 1.32 to 1.91, P<0.001) and for males but not females with history of solid cancers (males: iHR 1.13, 95% CI = 1.08 to 1.18, P <0.001; females: iHR 1.04, 95% CI = 0.98 to 1.10, P = 0.19). Conclusion: Developers should consider including cancer history variables in future cardiovascular risk models. [ABSTRACT FROM AUTHOR]

Huocheng Liao, Qiuyue Chen, Lin Liu, Sigan Zhong, Chun Xiao Department of Cardiology, The Third People’s Hospital of Huizhou and the Affiliated Hospital of Guangzhou Medical University, Huizhou City, Guangdong Province, People’s Republic of ChinaCorrespondence: Chun Xiao, Department of Cardiology, The Third People Hospital of Huizhou, The Affiliated Hospital of Guangzhou Medical University, Huizhou City, Guangdong Province, People’s Republic of China, Email lhcdoctor@tom.comObjective: The current study was to design a cardiovascular risk score for the diagnosis of coronary heart disease (CHD) in the rural area of China and the sensitivity and specificity of this score would be assessed.Methods: A total of 520 patients were enrolled and based on the results from coronary artery angiography, patients were divided into three groups: CHD group (coronary artery ≥ 50% stenosis), atherosclerosis group (coronary artery < 50% stenosis) and normal groups (without stenosis). Between-group differences were evaluated and the sensitivity and specificity of cardiovascular risk score were evaluated.Results: Compared to the normal and atherosclerosis groups, patients in the CHD group were older, had higher body mass index, and more likely to be smoking and obese, and had dyslipidemia, hypertension and diabetes, and had higher cardiovascular risk score (4.05 ± 2.15 vs 2.94 ± 1.90 vs 2.54 ± 1.59). Patients in the CHD group were more likely to have cardiovascular risk scores ≥ 2 (90.2% CHD group vs 74.2% atherosclerosis group vs 76.1% normal group, P < 0.05). The area under the ROC was 0.673, with 95% confidence interval was 0.623– 0.722 (P < 0.001), and the sensitivity and specificity were highest when the cardiovascular risk score was 4, indicating that the value of cardiovascular risk score of 4 was a good cutoff point for CHD diagnosis.Conclusion: Using cardiovascular risk score can improve CHD diagnosis which may help to reduce health disparities between rural and urban area.Keywords: coronary heart disease, cardiovascular risk score, sensitivity, specificity

Abstract Background Assessing the risk of cardiovascular disease (CVD) is crucial in preventive cardiology. We aimed to determine the trend of CVD risk among individuals with and without diabetes during two decades of follow-up in a Middle Eastern cohort. Methods We studied 8,450 individuals (55.5% women) aged 40–75 years who participated in the Tehran Lipid and Glucose Study (TLGS). Diabetes status and CVD risk factors were evaluated in six examinations from 1999 to 2018. The individual 10-year CVD risk score was calculated using the ACC/AHA recommended risk equation. We used generalized estimating equation models (GEE) to assess the time trends of CVD risk factors and CVD risk scores in diabetic and non-diabetic groups separately. Results The age-adjusted ACC/AHA risk score significantly decreased in non-diabetic women and men (from 3.2% to 1.6% in women and 6.8% to 5.0% in men; p for trend

Cardiovascular diseases (CVDs) represent a major threat to health and primary prevention outstands as the most effective instrument to face this issue, addressing multiple risk factors at a time and influencing behavioral patterns. Community nurses have been involved in many interdisciplinary prevention activities, resulting in effective control of CV risk factors. We conducted a pilot study aiming at describing the impact on the CV risk profile of an 18-month interdisciplinary intervention on lifestyle habits. From September 2018 to May 2020, four general practitioners (GPs) working in the Roman neighborhood of Torresina recruited patients having a cardiovascular risk score (CRS) equal to or higher than 3% and lower than 20%; those patients were included in a nutritional, physical, and psychological counseling program. Assessments of patients' health status were led at baseline, 6, 12, and 18 months by a nutritionist, a physiotherapist, a psychologist, their GPs, and a community nurse. The CRS was estimated at every examination, based on the Italian Progetto Cuore algorithm. A total of 76 patients were included (mean age of 54.6 years; 33 men and 43 women). Mean CRS showed a significant reduction between baseline and 12 months (from 4.9 to 3.8); both total cholesterol and systolic blood pressure (SBP) significantly decreased at 6 months of follow-up (respectively, from 211.1 to 192 and from 133.1 to 123.1). Nonetheless, the reduction was later maintained only for SBP. However, during the last 6 months of the intervention, the COVID-19 pandemic broke out, thus, it is not possible to know how much the results achieved at 18 months were influenced by the restrictive measures introduced by the Italian government. When stratifying according to the presence of hypertension/diabetes and physical activity, no differences in the CRS could be highlighted between the two groups. Our pilot study proved that an interdisciplinary counseling intervention program can improve CV risk profile and could be further spread to people that, according to their CRS, would benefit more from changes in lifestyles.

Despite the increasing use of the 2013 American College of Cardiology/American Heart Association (ACC/AHA) cardiovascular (CV) risk score in clinical practice, few studies have compared this score to the Framingham risk score among rheumatologic patients. We calculated Framingham and 2013 ACC/AHA risk scores in subjects with systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA) and assessed demographic, CV, and rheumatologic characteristics associated with discordant scores (high-risk ACC/AHA scores but low-risk Framingham scores). SLE and RA subjects drawn from two population-based cohort studies were assessed during in-person study visits. We used chi-squared tests and t tests to examine the association of discordant CV risk scores with baseline characteristics. Eleven (7.0%) of 157 SLE subjects and 11 (11.5%) of 96 RA subjects had discordant CV risk scores with high ACC/AHA scores and low Framingham scores. These findings did not significantly change when a 1.5 multiplier was applied to the Framingham score. Rheumatologic disease duration, high-sensitivity CRP levels, African-American race, diabetes, current use of anti-hypertensive medication, higher age, and higher systolic blood pressure were each significantly associated with discordant risk scores. Approximately 10% of SLE and RA subjects had discordant 10-year CV risk scores. Our findings suggest that the use of the 2013 ACC/AHA risk score could result in changes to lipid-lowering therapy recommendations in a significant number of rheumatologic patients. Prospective studies are needed to compare which score better predicts CV events in rheumatologic patients, especially those with risk factors associated with discordant risk scores.

• CRP associates with the risk of cardiovascular events in RA. • The association was not influenced by sex, age, disease activity and immunosuppressor. • Each 20 mg/L increase of CRP the cardiovascular risk increases of 1%. • Targeting residual inflammation may reduce cardiovascular event in RA. To evaluate the association between C-reactive protein (CRP) and 10-year risk of cardiovascular (CV) events using the Expanded Cardiovascular Risk Prediction Score for Rheumatoid Arthritis (ERS-RA), based on conventional and RA-specific risk factors but not CRP, in RA patients without previous cardiovascular events. ERS-RA was calculated in 1,251 "Cardiovascular Obesity and Rheumatic Disease Study (CORDIS)" database patients [(age 60.4(9.3) years; 78% female; disease duration, 11.6(8) years; CDAI, 9(9); CRP, 6.8(12) mg/L]. The mean (SD) 10-year risk of CV events was 12.9% (10). After adjusting for the use of DMARDs and biologics, CRP concentrations were significantly associated with 10-year risk of CV events (coefficient=0.005 for each 10 mg/L CRP increment; 95%CI 0.000–0.111; p = 0.047). In mediation analysis, the association between CRP and ERS-RA was not explained by disease activity. In a large cohort of RA patients without previous cardiovascular events, a 20 mg/L increase in CRP concentrations was associated with a 1% increase in 10-year risk of CV events. This suggests that actively targeting residual inflammatory risk beyond conventional and RA-specific risk factors might further reduce CV event rates in RA patients. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular disease risk assessment is a key tool in primary prevention. The ADRS (Abu Dhabi Risk Study) is a retrospective cohort study aiming to develop 10-year risk prediction equations for coronary artery disease (CAD), stroke, and atherosclerotic cardiovascular disease (ASCVD), and validate international risk equations., Methods and Results: The 8699 participants were examined in the Abu Dhabi cardiovascular screening program from 2011 to 2013 with a subsequent average follow-up of 9.2 years. They were assessed in 2023 for new CAD, admissions for acute coronary syndrome, or stroke. The validation cohort, 2554 subjects, is from the 2016 to 2017 Abu Dhabi community screening program, with 6.67 years average follow-up. Of 8504 ASCVD-free subjects, 250 experienced new CAD events. ASCVD risk factors in this population were age, sex, smoking, high cholesterol/high-density lipoprotein ratio, and diabetes diagnosis, in addition to low vitamin D level and low glomerular filtration rate. Three ADRS prediction models were derived using Cox regression. The ADRS-CAD had a C statistic of 0.899 (0.882-0.916) compared with 0.828 (0.803-0.852) for the Framingham Risk Score in the same sample. ADRS-stroke had a C statistic of 0.904 (0.865-0.944). The ADRS-ASCVD had a C statistic of 0.898 (0.883-0.913) compared with 0.891 (0.875-0.907) of pooled cohort equations and 0.825 (0.802-0.847) for Framingham Risk Score-cardiovascular disease. Applying our formulas to the validation cohort yielded C statistics of 0.825 (0.803-0.846), 0.799 (0.774-0.824), and 0.761 (0.71-0.813) for ASCVD, CAD, and stroke, respectively. The pooled cohort equations in this cohort had a C statistic for ASCVD of 0.824 (0.802-0.846)., Conclusions: This study demonstrates the value of tailoring risk assessments to local populations and health care contexts.

Aim: The "2024 AHA/ACC/ACS/ASNC/HRS/SCA/SCCT/SCMR/SVM Guideline for Perioperative Cardiovascular Management for Noncardiac Surgery" provides recommendations to guide clinicians in the perioperative cardiovascular evaluation and management of adult patients undergoing noncardiac surgery., Methods: A comprehensive literature search was conducted from August 2022 to March 2023 to identify clinical studies, reviews, and other evidence conducted on human subjects that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, the Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline., Structure: Recommendations from the "2014 ACC/AHA Guideline on Perioperative Cardiovascular Evaluation and Management of Patients Undergoing Noncardiac Surgery" have been updated with new evidence consolidated to guide clinicians; clinicians should be advised this guideline supersedes the previously published 2014 guideline. In addition, evidence-based management strategies, including pharmacological therapies, perioperative monitoring, and devices, for cardiovascular disease and associated medical conditions, have been developed., (Copyright © 2024. Published by Elsevier Inc.)

Objective: To understand the prevalence of subclinical atherosclerosis (SCA) in psoriatic arthritis (PsA) patients; to explore the correlation between PsA combined with SCA and traditional cardiovascular risk factors and disease activity; to compare the role of Framingham Risk Score (FRS) and atherosclerotic cardiovascular disease (ASCVD) scores., Methods: We included 50 PsA patients who met the CASPAR classification criteria, 50 diabetes patients and 50 healthy people. Clinical data were collected from all patients, minimal disease activity (MDA), disease activity index for psoriatic arthritis (DAPSA), ASCVD, FRS were assessed in patients with PsA, and carotid artery intima-media thickness was measured., Results: The prevalence of SCA in PsA patients was significantly higher than that in healthy controls (44% vs 24%, P<0.05). Smoking, drinking, ASCVD, FRS were the risk factors of PsA with SCA (P<0.05). Psoriasis (PsO) duration, PtGA, VAS and DAPSA were the risk factors for PsA with SCA (P<0.05). FRS and ASCVD scores underestimated SCA risk in PsA patients., Conclusion: Compared with healthy controls, patients with PsA have higher prevalence of SCA. High DAPSA is a risk factor for PsA with SCA. Carotid ultrasound can monitor SCA in patients with PsA, improve stratification of cardiovascular risk., (Copyright © 2024 Sociedad Española de Arteriosclerosis. Publicado por Elsevier España, S.L.U. All rights reserved.)

Abstract Background Understanding long-term patterns (trajectories) of cardiovascular diseases (CVD) risk and identifying different sub-groups with the same underlying risk patterns could help facilitate targeted cardiovascular prevention programs. Methods A total of 3699 participants of the Tehran Lipid and Glucose Study (TLGS) (43% men, mean age = 53.2 years), free of CVD at baseline in 1999–2001 and attending at least one re-examination cycle between the second (2002–2005) and fourth cycles (2009–2011) were included. We examined trajectories of CVD risk, based on the ACC/AHA pooled cohort equation, over ten years and subsequent risks of incident CVD during eight years later. We estimated trajectories of CVD risk using group-based trajectory modeling. The prospective association of identified trajectories with CVD was examined using Cox proportional hazard model. Results Three distinct trajectories were identified (low-low, medium-medium, and high-high risk). The high-high and medium-medium CVD risk trajectories had an increasing trend of risk during the time; still, this rising trend was disappeared after removing the effect of increasing age. Upon a median 8.4 years follow-up, 146 CVD events occurred. After adjusting for age, the medium-medium and high-high trajectories had a 2.4-fold (95% CI 1.46–3.97) and 3.46-fold (95% CI 1.56–7.70) risk of CVD compared with the low-low group, respectively. In all trajectory groups, unfavorable increasing in fasting glucose, but favorable raising in HDL and decreasing smoking and total cholesterol happened over time. Conclusions Although the risk trajectories were stable during the time, different risk factors varied differently in each trajectory. These findings emphasize the importance of attention to each risk factor separately and implementing preventive strategies that optimize CVD risk factors besides the CVD risk.

Background: Assessing the risk of cardiovascular disease (CVD) is crucial in preventive cardiology. We aimed to determine the trend of CVD risk among individuals with and without diabetes during two decades of follow-up in a Middle Eastern cohort. Methods: We studied 8,450 individuals (55.5% women) aged 40–75 years who participated in the Tehran Lipid and Glucose Study (TLGS). Diabetes status and CVD risk factors were evaluated in six examinations from 1999 to 2018. The individual 10-year CVD risk score was calculated using the ACC/AHA recommended risk equation. We used generalized estimating equation models (GEE) to assess the time trends of CVD risk factors and CVD risk scores in diabetic and non-diabetic groups separately. Results: The age-adjusted ACC/AHA risk score significantly decreased in non-diabetic women and men (from 3.2% to 1.6% in women and 6.8% to 5.0% in men; p for trend < 0.001). Whereas the risk significantly decreased among diabetics men (from 13.8% to 11.5%), it increased somehow among diabetics women (from 5.3% to 5.5%). Furthermore, in both sexes, diabetic individuals compared to non-diabetic ones had better control on their systolic blood pressure, total cholesterol, and fasting plasma glucose during the last two decades. Conclusions: The CVD risk and most CVD risk factors improved in individuals with and without diabetes in the past two decades; however, they have not reached the targets yet. So, more stringent lifestyle modifications and treatment strategies are needed, especially for primary prevention in the general population. [ABSTRACT FROM AUTHOR]

Background: Metabolomics may reveal novel biomarkers for coronary heart disease (CHD). We aimed to identify circulating metabolites and construct a metabolite risk score (MRS) associated with incident CHD among racially and geographically diverse populations., Methods: Untargeted metabolomics was conducted using baseline plasma samples from 900 incident CHD cases and 900 age-/sex-/race-matched controls (300 pairs of Black Americans, White Americans, and Chinese adults, respectively), which detected 927 metabolites with known identities among ≥80% of samples. After quality control, 896 case-control pairs remained and were randomly divided into discovery (70%) and validation (30%) sets within each race. In the discovery set, conditional logistic regression and least absolute shrinkage and selection operator over 100 subsamples were applied to identify metabolites robustly associated with CHD risk and construct the MRS. The MRS-CHD association was evaluated using conditional logistic regression and the C-index. Mediation analysis was performed to examine if MRS mediated associations between conventional risk factors and incident CHD. The results from the validation set were presented as the main findings., Results: Twenty-four metabolites selected in ≥90% of subsamples comprised the MRS, which was significantly associated with incident CHD (odds ratio per 1 SD, 2.21 [95% CI, 1.62-3.00] after adjusting for sociodemographics, lifestyles, family history, and metabolic health status). MRS could distinguish incident CHD cases from matched controls (C-index, 0.69 [95% CI, 0.63-0.74]) and improve CHD risk prediction when adding to conventional risk factors (C-index, 0.71 [95% CI, 0.65-0.76] versus 0.67 [95% CI, 0.61-0.73]; P <0.001). The odds ratios and C-index were similar across subgroups defined by race, sex, socioeconomic status, lifestyles, metabolic health, family history, and follow-up duration. The MRS mediated large portions (46.0%-74.2%) of the associations for body mass index, smoking, diabetes, hypertension, and dyslipidemia with incident CHD., Conclusions: In a diverse study sample, we identified 24 circulating metabolites that, when combined into an MRS, were robustly associated with incident CHD and modestly improved CHD risk prediction beyond conventional risk factors., Competing Interests: None.

Aims: The aim was to investigate the relationship between microvascular function, cardiovascular risk profile, and subclinical atherosclerotic burden., Methods and Results: The study enrolled 3809 individuals, 50-65 years old, participating in the population-based observational cross-sectional Swedish CArdioPulmonary bioImage Study. Microvascular function was assessed in forearm skin using an arterial occlusion and release protocol determining peak blood oxygen saturation (OxyP). Cardiovascular risk was calculated using the updated Systematic Coronary Risk Evaluation [SCORE2; 10-year risk of fatal and non-fatal cardiovascular disease (CVD) events]. The OxyP was compared with coronary artery calcification score (CACS) and to plaques in the carotid arteries. Individuals with OxyP values in the lowest quartile (Q1; impaired microvascular function) had a mean SCORE2 of 5.8% compared with 3.8% in those with the highest values of OxyP (Q4), a relative risk increase of 53%. The risk of having a SCORE2 > 10% was five times higher for those in Q1 (odds ratio: 4.96, 95% confidence interval: 2.76-8.93) vs. Q4 when adjusting for body mass index and high-sensitivity C-reactive protein. The OxyP was lower in individuals with CACS > 0 and in those with both carotid plaques and CACS > 0, compared with individuals without subclinical atherosclerotic burdens (87.5 ± 5.6% and 86.9 ± 6.0%, vs. 88.6 ± 5.8%, P < 0.01)., Conclusion: In a population without CVD or diabetes mellitus, impaired microvascular function is associated with cardiovascular risk profiles such as higher SCORE2 risk and CACS. We suggest that OxyP may serve as a microcirculatory functional marker of subclinical atherosclerosis and CVD risk that is not detected by structural assessments., Competing Interests: Conflict of interest: I.F. is part-time employed by Perimed, AB, which is developing products related to research described in this publication. None of the other authors have disclosable conflicts of interests., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Background and purpose: Cardiovascular risk burden in midlife has been linked to cognitive decline in later life, but whether this association still exists in older cohorts is unclear. Methods: The association between the cardiovascular risk score and cognitive function was investigated using 9‐year follow‐up data. The risk score algorithms were from the Chinese guidelines on the prevention and treatment of dyslipidemia in adults (2016 revised), which were assessed at baseline and categorized into tertiles (low, middle and high). Full intelligence quotient (FIQ), verbal intelligence quotient (VIQ) and performance intelligence quotient (PIQ) were assessed at follow‐ups with the Wechsler Adult Intelligence Scale—Chinese, revised (WAIS‐RC). Data were analyzed using the linear mixed‐effects model. Results: A total of 924 participants (mean age 78.06 ± 7.58 years) were included in our study. In all participants, the risk score ranged from 0.02 to 0.55 (mean score 0.16 ± 0.08). Compared with the low tertile, a higher risk score was associated with lower FIQ (β −0.094, 95% confidence interval [CI] −0.181, −0.007) and VIQ (β –0.100; 95% CI −0.192, −0.007) at the follow‐up. There is a more significant association between higher risk score and lower FIQ amongst females (β –0.263; 95% CI −0.462, −0.065) and VIQ (β −0.268; 95% CI −0.478, −0.057). Conclusions: A higher cardiovascular risk score was associated with lower FIQ and VIQ. Higher cardiovascular risk burden increased the risk of cognition impairment and accelerated its progression over time. This study has implications for early detection of cognition impairment. [ABSTRACT FROM AUTHOR]

Background: Understanding long-term patterns (trajectories) of cardiovascular diseases (CVD) risk and identifying different sub-groups with the same underlying risk patterns could help facilitate targeted cardiovascular prevention programs.Methods: A total of 3699 participants of the Tehran Lipid and Glucose Study (TLGS) (43% men, mean age = 53.2 years), free of CVD at baseline in 1999-2001 and attending at least one re-examination cycle between the second (2002-2005) and fourth cycles (2009-2011) were included. We examined trajectories of CVD risk, based on the ACC/AHA pooled cohort equation, over ten years and subsequent risks of incident CVD during eight years later. We estimated trajectories of CVD risk using group-based trajectory modeling. The prospective association of identified trajectories with CVD was examined using Cox proportional hazard model.Results: Three distinct trajectories were identified (low-low, medium-medium, and high-high risk). The high-high and medium-medium CVD risk trajectories had an increasing trend of risk during the time; still, this rising trend was disappeared after removing the effect of increasing age. Upon a median 8.4 years follow-up, 146 CVD events occurred. After adjusting for age, the medium-medium and high-high trajectories had a 2.4-fold (95% CI 1.46-3.97) and 3.46-fold (95% CI 1.56-7.70) risk of CVD compared with the low-low group, respectively. In all trajectory groups, unfavorable increasing in fasting glucose, but favorable raising in HDL and decreasing smoking and total cholesterol happened over time.Conclusions: Although the risk trajectories were stable during the time, different risk factors varied differently in each trajectory. These findings emphasize the importance of attention to each risk factor separately and implementing preventive strategies that optimize CVD risk factors besides the CVD risk. [ABSTRACT FROM AUTHOR]

Copyright of Revista Facultad de Medicina de la Universidad Nacional de Colombia is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Abstract Background South 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. Methods We 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 ( 30%). Results Among 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 ( 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

Introduction: Cardiovascular disease (CVD) is the main cause of morbidity and mortality worldwide. The use of the Framingham Risk Score is of great importance for predicting CVD risk. Objective: To estimate the 10-year CVD risk in adult patients diagnosed high blood pressure (HBP) who visited the outpatient service of the San Miguelito de Píllaro Health Center, in Tungurahua, Ecuador, using the Framingham Risk Score (2008). Materials and methods: Cross-sectional, observational, prospective and descriptive study conducted in 120 HBP patients aged 30 to 74 years who visited the outpatient service between January and October 2017. Data were obtained from the review of medical records, which were in turn updated during the execution of the study. The Framingham risk score was used to calculate the 10-year CVD risk. A descriptive analysis of the data was performed in Epi Info 7, using absolute frequencies and percentages. Results: Of the 120 patients, 59.17% were women. Furthermore, 15% of the participants had been diagnosed with type 2 diabetes mellitus, 13.33% had a history of smoking, 47.50% had elevated systolic blood pressure, and 39.17% had hypercholesterolemia. CVD risk was low (≤ 1% Framingham score), intermediate (10-19%), and high (≥ 20%) in 15%, 29.16%, and 59.16% of participants, respectively. None of them had a very low CVD risk (≤1%). Conclusion: The Framingham risk score was useful to estimate CVD risk in the study population treated in the primary health care setting. Consequently, more extensive use of this instrument in different health units is recommended to obtain better estimates of CVD risk and, as a result, achieve the implementation of health prevention and health care actions that improve the prognosis in the medium and long term, and thus the quality of life of these patients.

Background: Cardiovascular disease is the leading cause of mortality worldwide, including in low- and middle-income countries. Cardiovascular risk assessment is essential to prevent the mortality caused by diabetes. Aim: The current study was conducted to assess the prevalence of cardiovascular risk factors in type 2 diabetes and to compare the United Kingdom Prospective Diabetes Study (UKPDS) and World Health Organization (WHO)/International Society of Hypertension (ISH) chart in assessing cardiovascular risk score. Materials and Methods: Cardiac risk assessments were done in fifty patients attending the medicine outpatient department in an institutional hospital after ethical clearance and taking informed consent from patients. Two assessment tools were applied on the same patient. Results: Overall, 10% of people were obese (body mass index >30). Smoking was prevalent in 20% (10/50) of patients. Hypertension was observed in 60% (30/50) of patients. Raised total cholesterol (TC) was the most common lipid abnormality affecting 94% of patients. The WHO/ISH prediction charts identified 14% and 10% of patients with cardiovascular risk category <10 and 10–20, whereas the UKPDS engine predicted 24% and 38% in the same category. In high-risk categories 30–40 and >40, the WHO/ISH score predicted a higher proportion of patients (18% and 32%) than the UKPDS engine (8% and 4%, respectively). Kappa value was calculated to calculate the degree of agreement between two tools, and it was found to be 0.781 (P < 0.01). Conclusion: Raised TC and hypertension were the most prevalent risk factors. There was no significant discrepancy between two assessment tools in predicting cardiovascular risk score among type 2 diabetes mellitus patients in our study. [ABSTRACT FROM AUTHOR]

Objective: Because the addition of carotid ultrasound (US) into composite cardiovascular (CV) risk scores has been found effective for identifying patients with inflammatory arthritis and high CV risk, we aimed to determine whether its use would facilitate the reclassification of patients with psoriatic arthritis (PsA) into the very high Systematic Coronary Risk Evaluation (SCORE) risk category and whether this might be related to disease features.Methods: This was a cross-sectional study involving 206 patients who fulfilled ClASsification for Psoriatic ARthritis criteria for PsA, and 179 controls. We assessed lipid profile, SCORE, disease activity measurements, and the presence of carotid plaques and carotid intima-media thickness by ultrasonography. A multivariable regression analysis, adjusted for classic CV risk factors, was performed to evaluate whether the risk of reclassification could be explained by disease-related features and to assess the most parsimonious combination of risk reclassification predictors.Results: Forty-seven percent of patients were reclassified into a very high SCORE risk category after carotid US compared to 26% of controls (p < 0.001). Patients included in the low SCORE risk category were those who were more commonly reclassified (30% vs 14%, p = 0.002). The Disease Activity Index for PsA (DAPSA) score was associated with reclassification (β 1.10, 95% CI 1.02-1.19; p = 0.019) after adjusting for age and traditional CV risk factors. A model containing SCORE plus age, statin use, and DAPSA score yielded the highest discriminatory accuracy compared to the SCORE-alone model (area under the receiver-operating characteristic curve 0.863, 95% CI 0.789-0.936 vs 0.716, 95% CI 0.668-0.764; p < 0.001).Conclusion: Patients with PsA are more frequently reclassified into the very high SCORE risk category following carotid US assessment than controls. This was independently explained by the disease activity. [ABSTRACT FROM AUTHOR]

• This study offers a comprehensive analysis of cardiovascular risk factors within the Guinean population, considering geographical variables, medical histories, family backgrounds, and cardiovascular risk scores. • Significant variations in gender, region, and tuberculosis prevalence were observed across five cardiovascular risk score levels, emphasizing the multifaceted nature of cardiovascular risk factors. • Notable gender differences, with a female predominance in both groups, were identified, particularly in the 10 % or more risk group. • The research underscores the importance of tailored approaches in assessing and managing hypertension, diabetes, and related pathologies, considering factors such as geographic area, family history, cardiovascular risk scores, and gender. • Individualized prevention and management strategies are crucial to enhance disease control and mitigate associated risks, providing valuable insights for public health interventions in Guinea. • The study highlights the need to consider factors like geographic area, family history, cardiovascular risk score, and gender in evaluating pathology prevalence, emphasizing the importance of accurate assessments for effective healthcare strategies. • A moderate association between family history and the prevalence of cardiovascular pathologies suggests the need for targeted interventions based on familial risk factors. • Variations in prevalence across age groups emphasize the necessity of age-specific healthcare strategies, with a notable increase in pathology prevalence with advancing age. • The study contributes valuable insights for public health interventions in Guinea, emphasizing the significance of considering diverse factors in cardiovascular disease management. This study presents a comprehensive descriptive and comparative analysis of a Guinean cohort, focusing on geographical variables and medical histories in relation to family backgrounds and cardiovascular risk scores. The primary goal is to enhance understanding of cardiovascular risk factor distribution within the Guinean population and identify significant correlations among the investigated variables. In this retrospective study, data from 2435 Guinean patients in 2022 were analyzed based on demographic and medical variables. Cardiovascular risk scores were calculated following Guinea's national program guidelines for non-communicable disease prevention and control. Rigorous data collection, including retrospective analyses and screening campaigns, was conducted in collaboration with the Fondation pour le Diabète et les Maladies Non Transmissibles de Conakry. Statistical tests, including one-way ANOVA, Kruskal-Wallis, Pearson Chi², V Cramer, Fisher exact, and Mann-Whitney U, were applied for a comprehensive comparative analysis. Analysis across five cardiovascular risk score levels revealed significant variations in gender, region, and tuberculosis prevalence. Gender differences were notable, with a female predominance in both groups, slightly higher in the 10 % or more risk group. The higher-risk group exhibited a greater proportion of fasting blood glucose measurements. Effectively assessing and managing hypertension, diabetes, and other pathologies requires considering factors such as geographic area, family history, cardiovascular risk score, and gender for accurate evaluation. These factors influence pathology prevalence and should be considered in individualized prevention and management strategies. The study underscores the importance of tailored measures to enhance disease management and reduce associated risks. [ABSTRACT FROM AUTHOR]

Objective: The accuracy of various 10-year cardiovascular disease (CVD) risk calculators in Indians may not be the same as in other populations. Present study was conducted to compare the various calculators for CVD risk assessment and statin eligibility according to different guidelines. Methods: Consecutive 1110 patients who presented after their first myocardial infarction were included. Their CVD risk was calculated using Framingham Risk score- Coronary heart disease (FRS-CHD), Framingham Risk Score- Cardiovascular Disease (FRS-CVD), QRISK2, Joint British Society risk calculator 3 (JBS3), American College of Cardiology/American Heart Association (ACC/AHA), atherosclerotic cardiovascular disease (ASCVD) and WHO risk charts, assuming that they had presented one day before cardiac event for risk assessment. Eligibility for statin uses was also looked into using ACC/AHA, NICE and Canadian guidelines. Results: FRS-CVD risk assessment model has performed the best as it could identify the highest number of patients (51.9%) to be at high CVD risk while WHO and ASCVD calculators have performed the worst (only 16.2% and 28.3% patients respectively were stratified into high CVD risk) considering 20% as cut off for high risk definition. QRISK2, JBS3 and FRS-CHD have performed intermediately. Using NICE, ACC/AHA and Canadian guidelines; 76%, 69% and 44.6% patients respectively were found to be eligible for statin use. Conclusion: FRS-CVD appears to be the most useful for CVD risk assessment in Indians, but the difference may be because FRS-CVD estimates risk for several additional outcomes as compared with other risk scores. For statin eligibility, however, NICE guideline use is the most appropriate.

Introduction: Scores underestimate the prediction of cardiovascular risk (CVR) as they are not validated in patients with chronic kidney disease (CKD). Two of the most commonly used scores are the Framingham Risk Score (FRS-CVD) and the ASCVD (AHA/ACC 2013). The aim of this study is to evaluate the predictive ability of experiencing a cardiovascular event (CVE) via these 2 scores in the CKD population. Material and methods: Prospective, observational study of 400 prevalent patients with CKD (stages 1–4 according the KDOQI; not on dialysis). Cardiovascular risk was calculated according to the 2 scores and the predictive capacity of cardiovascular events (atherosclerotic events:myocardial infarction, ischaemic and haemorrhagic stroke, peripheral vascular disease; and non-atherosclerotic events: heart failure) was analysed. Results: Forty-nine atherosclerotic cardiovascular events occurred in 40.3 ± 6.6 months of follow-up. Most of the patients were classified as high CVR by both scores (59% by the FRS-CVD and 75% by the ASCVD). All cardiovascular events occurred in the high CVR patients and both scores (FRS-CVD log-rank 12.2, P