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Background: Cardiovascular preventive strategies are guided by risk scores with unknown validity in cancer cohorts. Objectives: This study aimed to evaluate the predictive performance of 7 established cardiovascular risk scores in cancer survivors from the UK Biobank. Methods: The predictive performance of QRISK3, Systematic Coronary Risk Evaluation 2 (SCORE2)/Systematic Coronary Risk Evaluation for Older Persons (SCORE-OP), Framingham Risk Score, Pooled Cohort equations to Prevent Heart Failure (PCP-HF), CHARGE-AF, QStroke, and CHA2DS2-VASc was calculated in participants with and without a history of cancer. Participants were propensity matched on age, sex, deprivation, health behaviors, family history, and metabolic conditions. Analyses were stratified into any cancer, breast, lung, prostate, brain/central nervous system, hematologic malignancies, Hodgkin lymphoma, and non-Hodgkin lymphoma. Incident cardiovascular events were tracked through health record linkage over 10 years of follow-up. The area under the receiver operating curve, balanced accuracy, and sensitivity were reported. Results: The analysis included 31,534 cancer survivors and 126,136 covariate-matched controls. Risk score distributions were near identical in cases and controls. Participants with any cancer had a significantly higher incidence of all cardiovascular outcomes than matched controls. Performance metrics were significantly worse for all risk scores in cancer cases than in matched controls. The most notable differences were among participants with a history of hematologic malignancies who had significantly higher outcome rates and poorer risk score performance than their matched controls. The performance of risk scores for predicting stroke in participants with brain/central nervous system cancer was very poor, with predictive accuracy more than 30% lower than noncancer controls. Conclusions: Existing cardiovascular risk scores have significantly worse predictive accuracy in cancer survivors compared with noncancer comparators, leading to an underestimation of risk in this cohort.

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Purpose: There are currently no ideal indicators for predicting the cardiovascular risk of obstructive sleep apnea (OSA). This study aimed to employ urinary metabolomics to detect early cardiovascular risk in patients with moderate-to-severe OSA. Patients and Methods: Male participants who underwent polysomnography from November 2020 to May 2021 were screened. Clinical data, polysomnography data and urine samples were collected. Untargeted metabolomics analyses of urine were performed. Multivariate analyses and receiver operating characteristic (ROC) curve analyses were subsequently performed to identify potential biomarkers. Associations between metabolites and clinical indicators and cardiovascular risk were examined through linear regression analyses with interaction and mediation analyses. Results: Thirty-six male participants were included in the study, comprising 22 males with moderate-to-severe OSA and 14 age-matched controls, with an average age of 39.6 ± 9.2 years. We identified 65 metabolites in the study, involving pathways including pyrimidine, androgen, estrogen, vitamin B6 and sulfate/sulfite metabolism. Among them, epinephrine sulfate was the most significantly altered metabolite. ROC analyses highlighted that epinephrine sulfate had the highest area under the curve (AUC=0.883) for detecting moderate-to-severe OSA. Epinephrine sulfate was statistically correlated with OSA severity, hypoxia-related indicators (apnea-hypopnea index: r=0.685; oxygen desaturation index: r=0.743, p<0.0001), arterial stiffness (arterial augmentation index: r=0.361, p=0.031) and long-term cardiovascular risk (Framingham cardiovascular risk: r=0.375, p=0.024). Linear regression analysis revealed that epinephrine sulfate was significantly associated with an increased in the Framingham risk (ß = 0.004, 95% CI = 0.000-0.009, p = 0.049), with the effect partly mediated by systolic blood pressure (27.6%) and not moderated by other factors. Additionally, it also significantly associated with the increased in the arterial augmentation index (ß = 0.019, 95% CI = 0.000-0.037, p = 0.046), with the effect fully mediated by blood pressure and not moderated by other indices statistically. Conclusion: There are significant metabolic pathway alterations in moderate-to-severe OSA patients. Urinary epinephrine sulfate markedly predicts early cardiovascular risk in OSA patients.

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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.

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AIMS: To examine whether sublingual microcirculation can be used as an effective and noninvasive method for assessing cardiovascular, kidney, and metabolic risks in patients with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: This cross-sectional observational study enrolled 186 patients with T2DM. All patients were evaluated using the Framingham General Cardiovascular Risk Score (FGCRS) and cardiovascular-kidney-metabolic (CKM) syndrome stage. Side-stream dark-field microscopy was used for sublingual microcirculation, including total and perfused vessel density (TVD and PVD). Multiple machine-learning prediction models have been developed for CKM risk and stage assessment in T2DM patients. Receiver operating characteristic (ROC) curves were generated to determine cutoff points. RESULTS: Compared to patients with T2DM, diabetic patients with subclinical atherosclerosis (SA) had a greater CV risk, as measured by the FGCRS, accompanied by markedly decreased microcirculation perfusion. Microcirculatory parameters (TVD and PVD), including carotid intima-media thickness (IMT), brachial-ankle pulse wave velocity (ba-PWV), and FGCRS, were closely associated with SA incidence. Microcirculatory parameters, Index (DMSA screen), and cut-off points were used to screen for SA in patients with T2DM. Furthermore, a new set of four factors identified through machine learning showed optimal sensitivity and specificity for detecting CKM risk in patients with T2DM. Decreased microcirculatory perfusion served as a useful early marker for CKM syndrome risk stratification in patients with T2DM without SA. CONCLUSIONS: Sublingual microcirculatory dysfunction is closely correlated with the risk of SA and CKM risk in T2DM patients. Sublingual microcirculation could be a novel tool for assessing the CKM syndrome stage in patients with T2DM.

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BACKGROUND: The global burden of type 2 diabetes mellitus (T2DM) is continuously increasing, particularly in India. The risk of cardiovascular disease (CVD) is higher in T2DM individuals when compared to non-diabetics, which imposes significant morbidity and mortality. The main aim of the present study was to assess the risk factors for CVD in T2DM patients. The secondary aim was to assess the association between cardiovascular risk profile and 10-year cardiovascular risk using the Framingham risk score. METHODS: This was a cross-sectional study conducted on 110 T2DM patients, and the anthropometric and biochemical parameters were analyzed. The Framingham cardiovascular risk prediction model was used to calculate the 10-year risk for CVD. The CVD risk factor was compared among the genders. Further, the association between the Framingham cardiovascular risk and the various categories of risk factors was also analyzed. RESULTS: Based on the Framingham cardiovascular risk score, 23 (20.9%) were at low risk, 39 (35.5%) were at moderate risk, and 48 (43.6%) were at low risk. A higher proportion of males had hypertension (55.2 vs. 17.3%; p=0.007), elevated cholesterol levels (48.3% vs. 23.1%; p=0.008), and smoking or tobacco use (31% vs. 7.7%; p=0.006) as compared to females. The significant risk factors for high 10-year CVD risk were hypertension (p=0.001), elevated total cholesterol (p=0.03), smoking or tobacco use (p=0.007), and glycemic control (p=0.04). CONCLUSION: The Framingham cardiovascular risk score estimates reveal that male gender, hypertension, smoking, and uncontrolled diabetes are the important risk factors for CVD progression among diabetic patients. Therefore, it is imperative to generate awareness regarding the potential risks and then implement suitable interventions during the early phases at the primary healthcare level.

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PURPOSE: In patients with acromegaly, the long-term presence of elevated GH and IGF-1 levels is associated with an unfavorable cardiovascular risk profile. We aimed to assess the relationship of four-dimensional speckle tracking echocardiographic (4DSTE) measurements with growth differentiation factor-15 (GDF-15) levels and the Framingham Cardiovascular Risk Score (FRS) in patients with acromegaly. METHODS: A single-center, cross-sectional study was conducted. The study included 40 acromegaly and 32 age- and gender-matched controls. Anthropometric, biochemical, and echocardiographic assessments were performed. GDF-15 levels were measured using ELISA. RESULTS: In the controlled acromegaly group, global longitudinal (GLS), circumferential (GCS), area (GAS), and radial (GRS) strain measurements identified by 4DSTE were lower than those of the controls (p < 0.05). Moreover, strain parameters were lower in active acromegaly patients than in controls, but the difference was not statistically significant. The GLS was negatively correlated with age, the estimated disease duration, and FRS. Serum GDF-15 levels showed no significant difference between the acromegaly and control groups. In patients with acromegaly, serum GDF-15 levels were positively correlated with age, waist-to-hip ratio, systolic and diastolic blood pressure, FRS, fasting plasma glucose, and HbA1c, but not with strain parameters. The multiple regression analysis revealed that FRS was an independent factor associated with serum GDF-15 levels in patients with acromegaly and the overall cohort (p < 0.001). CONCLUSION: Our study demonstrates that while LVEF was within normal limits, global strain parameters (GLS, GCS, GAS, and GRS) measured by using a novel imaging technique, 4DSTE, were lower in patients with acromegaly, suggesting the presence of subclinical systolic dysfunction in patients with acromegaly. GDF-15 can be a potential predictor of cardiovascular risk in patients with acromegaly.

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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.

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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.

Impaired microvascular function was associated with higher cardiovascular risk profile SCORE2 and subclinical atherosclerotic burden defined by carotid plaque and coronary artery calcification score (CACS).Individuals with impaired microvascular function (peak oxygen saturation in the forearm skin, OxyP, after a prolonged arterial occlusion provocation) had a moderate risk level of SCORE2 compared to low risk level in those with the highest values of OxyP.The OxyP was lower in individuals with CACS > 0 and in those with both carotid plaques and CACS > 0, compared with individuals with carotid plaque only and in individuals without subclinical atherosclerotic burdens.

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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.

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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 11 609 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.

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PURPOSE: The OPG/RANKL (osteoprotegerin/receptor activator of nuclear factor kappa-B) system, which plays a crucial role in bone metabolism, is also associated with vascular calcification. Acromegaly is characterized by excessive secretion of growth hormone and insulin-like growth factor, and studies have demonstrated an elevated risk of cardiovascular disease in individuals with acromegaly. In this study, our objective was to investigate the relationship between OPG/RANKL and various cardiovascular risk scoring systems. METHODS: We recruited 44 consecutive acromegaly patients and 41 healthy controls with a similar age and gender distribution for this study. RESULTS: While RANKL levels were significantly higher in the acromegaly group compared to the controls, OPG levels were not found to be significantly different between the two groups. Furthermore, within the acromegaly group, RANKL levels were significantly higher in patients with active acromegaly compared to those with controlled acromegaly. Osteoprotegerin levels showed a positive correlation with the Framingham risk score (FRS) in the acromegaly group. Linear regression analysis revealed an association of OPG with FRS (adjusted R2 value of 21.7%). CONCLUSION: OPG and RANKL may serve as potential markers for assessment of cardiovascular calcification and prediction of the cardiovascular risk status in acromegalic patients.

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OBJECTIVE: 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. PATIENTS & METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

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OBJECTIVE: 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. METHODS AND MEASURES: 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. RESULTS: 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. CONCLUSION: 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.

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BACKGROUND: Early identification of patients with low and high risk for acute coronary syndrome in the emergency department (ED) is important for process management and proper resource use. The aim of this study was to compare the HEAR and HEART scores to determine the risk for major adverse cardiovascular events (MACE) over 30 days. METHODS: Demographic data and clinical evaluations of the patients who presented to the ED with chest pain were recorded. ECGs were evaluated without knowing the clinical status of the patients. The HEART (including history, ECG, age, coronary risk factors, and troponin level) and HEAR (including four items with no troponin) risk scores were calculated. MACE was defined as all MI, all coronary revascularization procedures (PCI and CABG), all-cause death, cardiac arrest, cardiogenic shock, or life-threatening cardiac arrhythmias within 30 days. Patients with MACE were evaluated as Group 1, and patients without MACE were considered as Group 2, and the data from the two groups were compared. RESULTS: A total of 230 patients were included in the study. There were 56 (24.3%) patients with MACEs. According to the ROC analysis, the threshold value was determined as ≤3 for both scoring systems. According to this threshold value, sensitivity and specificity were found to be 0.77 and 0.78 for the HEAR score and 0.82 and 0.77 for the HEART score. CONCLUSIONS: Although the HEAR and HEART scoring systems are useful for the management of patients with chest pain in the ED, the HEART score was evaluated to be more effective.

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Background: The 10-year atherosclerotic cardiovascular disease (ASCVD) risk - as assessed using the Framingham general cardiovascular risk score (FRS-CVD) or pooled cohort equations (PCE) - is commonly used in Western cohorts for the primary prevention of cardiovascular disease (CVD). However, the FRS-CVD and PCE have not been validated in Taiwanese cohorts. Objectives: We aimed to validate the FRS-CVD and PCE for assessing the 10-year ASCVD risk using a Taiwanese community-based population. Methods: We extracted patient data from the Landseed Integrated Outreaching Neighborhood Screening registry, a community-based prospective cohort study established in 2006. Cardiovascular events from 2006 to 2017 were determined from electronic medical records. The discriminative power and calibration of the FRS-CVD and PCE were evaluated. Results: Overall, 5,139 subjects were analyzed; the 10-year follow-up rate was 99.6%. The mean age at baseline was 52.8 ± 13.1 years, and 44.6% of the subjects were male. In total, 430 of 4,631 (9.3%) and 227 of 4,022 (5.6%) of the FRS-CVD- and PCE-like cohorts, respectively, had ASCVD events. The calibration χ2 of the FRS-CVD was 7.0267 (p = 0.6343) in males and 7.8845 (p = 0.5458) in females; the χ2 of PCE was 13.007 (p = 0.1623) in males and 38.785 (p < 0.001) in females. The area under the receiver operating characteristic curve (AUROC) of the FRS-CVD was 0.76 (0.72-0.79) in males and 0.71 (0.67-0.74) in females; the AUROC of PCE was 0.68 (0.62-0.73) in males and 0.61 (0.56-0.67) in females. Conclusions: Except for PCE in females, the FRS-CVD and PCE provided good calibration and modest discrimination in statin-naïve Taiwanese individuals without prior CVD.

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Introduction: Multidisciplinary coordinated care has been associated with improvement of diabetes care. Aim and methods: This is a retrospective cohort analysis aimed to assess the effect of application of the five-structured visits Multi-disciplinary Clinical Care Approach (FMCA) on each of T2DM control, complications and comorbidities. The patients' records were assessed for one year of regular diabetes care followed with a year after implementation of FMCA for patients attending the diabetes clinic at Zulekha hospital. The patients were divided according to HbA1c (cutoff 7%) at the end of the FMCA year of follow-up into a group of controlled and another group of uncontrolled diabetes designated CDM and UCDM, respectively. Results: 49% of patients were males and the mean age was 44.22 years. HbA1c levels, LDL and urinary albumin/creatinine ratio (UACR) showed a marked decrease among the patients after implementation of FMCA (P = 0.02, P = 0.04, P = 0.003, respectively). Compared with an increase in the atherosclerotic cardiovascular risk score (ASCVD) during the regular period, exposure to FMCA significantly decreased the cardiovascular risk score (0.17%, 11.41%, P = 0.001, P = 0.001, respectively). A self-management score was significantly higher in CDM patients. After a multivariate regression analysis of factors affecting DM control, we detected that baseline HbA1c, UACR, self-management score and hospital admission rate were the most important factors to predict diabetes control. Conclusion: The implementation of FMCA has shown a significant improvement in clinical and humanistic aspects of individuals with T2DM with a better outcome, more control and less complications.

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BACKGROUND: Vitamin D deficiency is a common condition that affects approximately 30-50% of the worldwide population. Vitamin D deficiency is associated with an increased risk of cardiometabolic diseases and is considered a cardiovascular risk factor globally.  Methods: This is a retrospective cross-sectional study that aimed to identify the prevalence of vitamin D deficiency and its associations with the cardiovascular disease (CVD) risk profile of patients presenting for cardiac evaluation at Primecare Heart Clinic, a private heart clinic in Nairobi, Kenya, between January 1, 2020 and January 31, 2022. RESULTS: Females with vitamin D deficiency composed 58.87% of the study participants. The average 10-year Framingham CVD risk level of the vitamin D-deficient participants was 7.09%. Participants with vitamin D deficiency that were older and had low serum high-density lipoprotein C (HDL-C) levels and high systolic blood pressure (BP) had a higher risk of CVDs. Male participants were at five times higher risk of CVDs. Vitamin D-deficient patients who were older and had a low HDL cholesterol level and high systolic BP are at a high risk of CVDs. The two-way analysis of variance (ANOVA) test value was 345.6992, and the p-value was 0.002884. CONCLUSION: Our study demonstrated that a low level of vitamin D was associated with a higher Framingham cardiovascular risk score and cardiovascular risk in patients. Nonetheless, this is a retrospective study, which is a major limitation of this study.

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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.

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BACKGROUND: 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. METHODS: 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. RESULTS: 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 CONCLUSION: 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.

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