Glycemic Control and Cardiometabolic Risk in Black Zimbabweans with Type 2 Diabetes Mellitus.

Purpose: Type 2 diabetes mellitus (T2DM) frequently presents with modified cardiometabolic risk profiles, indicative of an elevated susceptibility to cardiovascular disease (CVD). Cardiometabolic risk factors such as obesity, hyperglycemia, hypertension, insulin resistance and dyslipidemia are known contributors to increased CVD hazard in individuals with T2DM. This study evaluated the glycemic control-based cardiometabolic risk profiles of black Zimbabweans with T2DM. Patients and Methods: A cross-sectional study of 116 T2DM patients recruited from diabetic clinics at Parirenyatwa and Sally Mugabe Hospitals, Harare, Zimbabwe, was conducted. Blood samples were collected for glycated hemoglobin (HbA1c) and lipid profile assessment. The Framingham risk scores (FRS) based on body mass index (BMI) and lipid profile were used to determine CVD risk. Parametric variables were analyzed using one-way analysis of variance (ANOVA) with post hoc Bonferroni correction, while non-parametric variables were compared using the Kruskal-Wallis test with post hoc Dunn test for multiple comparisons. Results: The overall frequency of dyslipidemia was 83.6% (n=97) and hypoalphalipoproteinemia was the most prevalent dyslipidemia (79.3%). Median HDLC levels were significantly lower in participants with poor glycemic control (1.12 mmol/L) compared to those with good glycemic control group (1.37 mmol/L) (p=0.011). Despite lack of significant variations in Framingham Risk Scores, there was a trend towards lower FRS-BMI in the good control group (29.8%) compared to the inadequate control (35.4%) and poor control (32.7%) groups (p=0.078). Conclusion: Duration since DM diagnosis was observed to be an important risk factor for poor glycemic control being significantly shorter in those with good glycemic control compared to those with inadequate and poor control. Overall, there was no significant difference in HbA1c status by age but individuals with poor glycemic control were significantly older than those with good control. The most prevalent dyslipidemia among the study participants was hypoalphalipoproteinemia which is reportedly associated with genetic predisposition, warranting further investigations.

Relationship between dietary oxidative balance score, anthropometric measurements and socioeconomic factors in women at low risk of cardiovascular disease.

INTRODUCTION: The aim of this study was to investigate the relationship between the dietary oxidative balance score (OBS), an indicator of oxidative stress, anthropometric measures and socioeconomic factors in women at low risk of cardiovascular disease. METHODS: The participants' 3-day dietary intake, demographic information, anthropometric measurements and blood pressure values were recorded, and the Framingham Risk Score (FRS) and OBS values were determined. Oxidative balance score consists of prooxidant and antioxidant scores. Prooxidant scores were calculated from red meat consumption, total iron and polyunsaturated fatty acid intake, alcohol and cigarette consumption parameters, while antioxidant scores were calculated by assessing cruciferous consumption, dietary total vitamin C, vitamin E, ß-carotene, ß-cryptoxanthin, ß-carotene, ß-cryptoxanthin, lycopene, lutein+zeaxanthin and selenium intake. RESULTS: A total of 145 women were included in the study. Education level was associated with anthropometric measurements, income status with antioxidant and prooxidant scores, and exercise status with OBS (p<0.05). Weight, waist, hip, BMI, waist/hip, and waist/height ratio were significantly lower in subjects with low prooxidant score (p<0.05); there was no significant relationship between age, systolic, diastolic, FRS (p>0.05). CONCLUSION: The study, conducted in healthy women, showed that dietary oxidative balance scoring is promising in preventing the development of CVD and reducing the burden of disease, and that prospective cohort studies should be conducted in this area.

Adoption of the PREVENT (Predicting Risk of Cardiovascular Disease EVENTs) Risk Algorithm: Potential International Implications.

Background: The PREVENT (Predicting Risk of cardiovascular disease EVENTs risk algorithm was developed to better reflect the impact of metabolic factors on cardiovascular risk. Objectives: The purpose of this study was to compare the relative performance of PREVENT with standard comparator algorithms (Framingham risk score, pooled cohort equation, SCORE2 [Systematic COronary Risk Evaluation2]) for risk stratification emphasizing the implications of weighing chronic kidney disease. Methods: A simulated cohort was created of males and females aged 40 to 75 years with and without other traditional risk factors and either normal estimated glomerular filtration rates (eGFR 90 or 60 ml/min/1.73 m2) or abnormal eGFR (45 or 30 ml/min/1.73 m2). The concordance and reclassification rates were calculated for each category of risk with emphasis on subjects characterized as moderate risk by the standard comparator algorithms. Results: PREVENT demonstrated increased risk with progressive decreases in eGFR. When the standard comparator algorithms identified moderate risk, PREVENT was concordant in 6% to 88% of simulations. In simulations with normal eGFR, PREVENT identified a lower risk in 18% to 88% and a higher risk in 0% to 12% of simulations. Conversely, with abnormal eGFR, PREVENT identified lower risk in 0% to 26% and higher risk in 4% to 94% of simulations. Conclusions: PREVENT substantially reclassifies risk and has the potential to alter prevention practice patterns. The tendency to assign a lower risk compared to standard algorithms when eGFR is normal may diminish implementation of preventive therapy. National health care systems need to monitor whether such changes improve overall public health.

Leptin bioavailability and markers of brain atrophy and vascular injury in the middle age.

INTRODUCTION: We investigated the associations of leptin markers with cognitive function and magnetic resonance imaging (MRI) measures of brain atrophy and vascular injury in healthy middle-aged adults. METHODS: We included 2262 cognitively healthy participants from the Framingham Heart Study with neuropsychological evaluation; of these, 2028 also had available brain MRI. Concentrations of leptin, soluble leptin receptor (sOB-R), and their ratio (free leptin index [FLI]), indicating leptin bioavailability, were measured using enzyme-linked immunosorbent assays. Cognitive and MRI measures were derived using standardized protocols. RESULTS: Higher sOB-R was associated with lower fractional anisotropy (FA, ß = -0.114 ± 0.02, p < 0.001), and higher free water (FW, ß = 0.091 ± 0.022, p < 0.001) and peak-width skeletonized mean diffusivity (PSMD, ß = 0.078 ± 0.021, p < 0.001). Correspondingly, higher FLI was associated with higher FA (ß = 0.115 ± 0.027, p < 0.001) and lower FW (ß = -0.096 ± 0.029, p = 0.001) and PSMD (ß = -0.085 ± 0.028, p = 0.002). DISCUSSION: Higher leptin bioavailability was associated with better white matter (WM) integrity in healthy middle-aged adults, supporting the putative neuroprotective role of leptin in late-life dementia risk. HIGHLIGHTS: Higher leptin bioavailability was related to better preservation of white matter microstructure. Higher leptin bioavailability during midlife might confer protection against dementia. Potential benefits might be even stronger for individuals with visceral obesity. DTI measures might be sensitive surrogate markers of subclinical neuropathology.

The AORTA Gene score for detection and risk stratification of ascending aortic dilation.

BACKGROUND AND AIMS: This study assessed whether a model incorporating clinical features and a polygenic score for ascending aortic diameter would improve diameter estimation and prediction of adverse thoracic aortic events over clinical features alone. METHODS: Aortic diameter estimation models were built with a 1.1 million-variant polygenic score (AORTA Gene) and without it. Models were validated internally in 4394 UK Biobank participants and externally in 5469 individuals from Mass General Brigham (MGB) Biobank, 1298 from the Framingham Heart Study (FHS), and 610 from All of Us. Model fit for adverse thoracic aortic events was compared in 401 453 UK Biobank and 164 789 All of Us participants. RESULTS: AORTA Gene explained more of the variance in thoracic aortic diameter compared to clinical factors alone: 39.5% (95% confidence interval 37.3%-41.8%) vs. 29.3% (27.0%-31.5%) in UK Biobank, 36.5% (34.4%-38.5%) vs. 32.5% (30.4%-34.5%) in MGB, 41.8% (37.7%-45.9%) vs. 33.0% (28.9%-37.2%) in FHS, and 34.9% (28.8%-41.0%) vs. 28.9% (22.9%-35.0%) in All of Us. AORTA Gene had a greater area under the receiver operating characteristic curve for identifying diameter ≥ 4 cm: 0.836 vs. 0.776 (P < .0001) in UK Biobank, 0.808 vs. 0.767 in MGB (P < .0001), 0.856 vs. 0.818 in FHS (P < .0001), and 0.827 vs. 0.791 (P = .0078) in All of Us. AORTA Gene was more informative for adverse thoracic aortic events in UK Biobank (P = .0042) and All of Us (P = .049). CONCLUSIONS: A comprehensive model incorporating polygenic information and clinical risk factors explained 34.9%-41.8% of the variation in ascending aortic diameter, improving the identification of ascending aortic dilation and adverse thoracic aortic events compared to clinical risk factors.

Urinary Epinephrine Sulfate Can Predict Cardiovascular Risk in Moderate-to-Severe OSA: A Metabolomics-Based Study.

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.

An Association of Framingham Risk Score with Patient Determined Disease Steps in a Cohort of Relapsing-Remitting Multiple Sclerosis Patients: An Italian Real-World Monocentric Experience.

BACKGROUND: The associations between Multiple Sclerosis (MS) and cardiovascular diseases, drawn from epidemiological studies, have attracted much attention in recent years. MATERIALS AND METHODS: The present study employed a monocentric, observational, retrospective cohort design. The primary objective of the study was to describe the Framingham Risk Score (FRS) rate in a cross-sectional analysis of our cohort of relapsing-remitting MS patients who are regularly followed up and, if applicable, to identify any association with the patient's Patient Determined Disease Steps (PDDS). Cardiovascular risk was classified as follows: low if the FRS is less than 10%, moderate if it is 10% to 19%, and high if it is 20% or higher. RESULTS: A total cohort of 229 patients was enrolled. The sample consists of 163 women (71.2%). FRS categories were distributed as follows: 97 (42.3%) patients had low FRS, 84 (36.7%) patients had moderate FRS, and 48 (21%) patients had high FRS. In the univariable ordinal regression analysis, one one-point increase in the PDDS scale was associated with a 24% risk of high FRS (vs. low) (proportional odds ratio [OR] =2.426, 95% confidence interval [CI] 1.660-3.545; p <.0001). The results were also confirmed by the EDSS score, with a point increase in the EDSS score associated with a 19% risk of high FRS (vs. low) (proportional OR =1.953, 95% CI 1.429-2.669-1.04; p <.0001). CONCLUSION: The FRS demonstrated an association with the patient's "perception of the disease" as indicated by the PDDS. Further studies with larger cohorts are needed to adequately address cardiovascular risk in life-threatening conditions, such as MS.

Investigating the Relationship between Epigenetic Age and Cardiovascular Risk in a Population with Overweight/Obesity.

Introduction: Cardiovascular diseases stand as the leading global cause of mortality. Major modifiable risk factors encompass overweight/obese conditions, high blood pressure, elevated LDL cholesterol, diabetes, smoking, secondhand smoke exposure, unhealthy diet, and physical inactivity. In the present study, we explored the relationship between cardiovascular risk factors and epigenetic age (DNAm age), an estimate reflecting an individual's actual physiological functionality and overall health. Additionally, we assessed the association between DNAm age acceleration and cardiovascular risk, as evaluated through the Framingham risk score (FRS). Methods: The study includes 190 subjects with overweight/obese conditions. We calculated their DNAm age using Zbiec-Piekarska et al.'s DNAm age estimator on five sets of CpGs analyzed in the peripheral leucocytes. Linear regression models were employed to test the associations. Results: Various parameters contributing to increased cardiovascular risk were associated with DNAm age acceleration, such as systolic blood pressure (ß = 0.045; SE = 0.019; p = 0.019), heart rate (ß = 0.096; SE = 0.032; p = 0.003), blood glucose (ß = 0.025; SE = 0.012; p = 0.030), glycated hemoglobin (ß = 0.105; SE = 0.042; p = 0.013), diabetes (ß = 2.247; SE = 0.841; p = 0.008), and menopausal conditions (ß = 2.942; SE = 1.207; p = 0.016), as well as neutrophil (ß = 0.100; SE = 0.042; p = 0.018) and granulocyte (ß = 0.095; SE = 0.044; p = 0.033) counts. Moreover, DNAm age acceleration raised the FRS (∆% 5.3%, 95% CI 0.8; 9.9, p = 0.019). Conclusion: For the first time, we report that cardiovascular risk factors accelerated DNAm age in a selected population of hypersusceptible individuals with overweight or obesity. Our results highlight the potential of DNAm age acceleration as a biomarker of cumulative effects in cardiovascular risk assessment.

Biological and Methodological Variability in Retinal Nerve Fiber Layer OCT: The Framingham Heart Study.

Objective: To explore participant-level biological attributes and scan-level methodological attributes associated with retinal nerve fiber layer (RNFL) thickness variability in a population-based sample of elderly United States adults. Design: Cross-sectional analysis using data from the Framingham Heart Study. Participants: One thousand three hundred forty-seven eyes from 825 participants with ≥1 OCT scan and axial length data were included. Methods: Three or more successive RNFL scans of each eye of each participant were obtained in a single session. Multivariable linear mixed models were employed to explore the associations between average RNFL thickness with participant-level biological attributes (age, gender, race, ethnicity, and axial length) and scan-level attributes (signal strength [SS]) as independent variables in the whole population as well as a subsample of adults with no self-reported history of glaucoma. Similar analyses were designed to assess methodological variability with average within-eye standard deviation (SD) for repeated scans as the dependent variable. Main Outcomes Measures: (1) Biological variability: average RNFL thickness, and (2) methodological variability: average within-participant SD across repeated scans. Results: Age (ß =  - 0.19 microns/year, [95% confidence interval {CI}: - 0.29, - 0.09]), female gender (ß = +1.48 microns vs. male, [95% CI: 0.09, 2.86]), axial length (ß =  - 1.24 microns/mm of greater length, [95% CI: - 1.80, - 0.67]), and SS (ß = +1.62 microns/1 unit greater SS, [95% CI: 1.16, 2.09]) were significantly associated with RNFL thickness, while race and ethnicity were not (P > 0.05). In analyses designed to assess methodological variability, higher RNFL thickness (ß = +0.02 per micron increase, [95% CI: 0.01, 0.03]), and lower SS (ß = +0.19 per 1 unit lower SS, [95% CI: 0.10, 0.27]) were significantly associated with greater RNFL variability. In adults with no self-reported history of glaucoma (n of eyes = 1165, n of participants = 712), female gender was not associated with RNFL, while African American race was associated with thicker RNFL (ß = +4.65 microns vs. Whites, [95% CI: 1.28, 8.03]). Conclusions: Retinal nerve fiber layer thickness is lower with older age, male gender, greater axial length, lower SS, and Whites (as compared with African Americans) without self-reported glaucoma. Measurement variability (SD) is higher with greater RNFL thickness and lower SS. Understanding these biological and methodological variations is important to aid in OCT interpretation. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

A parallel-arm randomised control trial to study the effects of risk communication methods for prevention of cardiovascular diseases: EFFRICO trial.

Introduction: Cardiovascular diseases (CVDs) have many risk factors; few can be modified through health education. Traditional patient counselling methods fail to impact health behaviours to prevent or reduce the risk of CVDs. Objectives: This study was conducted to estimate the effect of various risk communication methods on CVD risk reduction and medication adherence. Design: An open-label superiority randomised control trial was conducted where 159 patients were randomised into three groups: Communication of 10-year Framingham CVD risk score, heart age, and routine care. Follow-up was done 3 months after recruitment. The primary outcome was a difference in excess 10-year Framingham CVD risk score in the end-line compared to baseline. The status of modifiable behavioural risk factors at baseline was expressed as 'yes' and 'no', and follow-up was defined as 'action', 'positive maintenance', 'negative maintenance', and 'defaulter'. The trial was registered with the Clinical Trials Registry India (CTRI NO. CTRI/2020/10/028614). Setting: The study setting was screening outpatient department (OPD), General Medicine OPD, and Cardiology OPD of a tertiary care hospital in Central India. Participants: Participants aged >30 years, residing in Bhopal for more than 6 months, diagnosed with hypertension or diabetes mellitus or both, and having any of the four CVD behavioural risk factors: tobacco use, alcohol use, physical inactivity, or unhealthy diet. Results: Median excess 10-year Framingham CVD risk scores were 0.945% (CI: 1.275-4.297), -0.850% (-3.932-2.075), and -1.300% (-5.100-0.900) (10-year Framingham CVD risk score vs Heart age vs Routine care) and 0.000% (-3.125-5.925), -1.600% (-3.760-1.475), and -1.400% (-6.600-5.900) before and after intervention, respectively (P > 0.05). Positive maintenance was higher in both intervention groups concerning all modifiable behaviours, with a higher proportion reported in the 10-year Framingham risk score. The action phase was reported higher in intervention groups for medication adherence, addiction, and dietary changes. Conclusion: Systematic risk communication methods reduced the probability of contracting CVD in the future, though this finding was statistically insignificant.

A study to assess the effect of yoga and diet on Framingham risk score among high-risk cardiovascular subjects.

Introduction: Cardiovascular diseases (CVDs) are a cluster of disorders of blood vessels and the heart. As a form of physical activity, yoga postures, and pranayama have been shown to be beneficial in various health conditions, i.e. hypertension, prediabetes, and diabetes among high-risk subjects. This study aimed to evaluate the impact of yoga and diet on the Framingham risk score (FRS) among high-risk cardiovascular subjects. Materials and Methods: The experimental interventional study was conducted at "RUHS College of Medical Sciences" and Associated Group of Hospitals", Jaipur among high-risk cardiovascular subjects. FRS was used as a measurement for the outcome of interest at baseline and six months of yoga diet intervention in the study and control groups. Results: Mean age of participants was 48.43 ± 6.4 years. Baseline values (mean ± SD) of FRS 24.59 ± 10.15 after six months of yogic lifestyle 15.1 ± 7.05. After six months of yogic lifestyle FRS scores and estimated 10-year cardiovascular risk were statistically significantly (P < 0.0001) decreased. Pearson correlation analysis results depict that FRS correlation. There was a strong positive correlation between the FRS score and total cholesterol (r = 0.787; P < 0.001) and a negative strong correlation between the FRS score and high-density lipoprotein was observed (r =-0.621; P < 0.002). Conclusion: The findings of this study conclude that six months of yoga and diet lifestyle intervention significantly decreased FRS among high-risk CVD subjects compared to the control group.

Prediction of Different Risk Factors in Relation to Hyperlipidemia Using Framingham Risk Score and Cholesterol Risk Score in a Tertiary Care Hospital.

BACKGROUND: A condition that affects the circulatory system of the human body is referred to as a cardiovascular disease (CVD). Cardiovascular diseases (CVDs) are responsible for a significant number of fatalities globally. Annually, CVDs result in the demise of 17.9 million people, which accounts for 31% of all fatalities on a global scale. OBJECTIVE: The objective of the study was to assess the demographic profile of diabetic and nondiabetic patients suffering from cardiovascular disease. The aim of the study is to predict risk factors in relation to hyperlipidaemia using two different scales, the Framingham Risk Scale (FRS) and the Cholesterol Risk Calculator (CRC), and to determine the frequency of hypercholesterolemia in relation to CVD. METHODS: A cross-sectional study was conducted in Guru Gobind Singh Medical College and Hospital, Punjab, India. RESULTS: The mean age of patients was found to be M= (51.23), SD= (9.348) years, and among 331 patients (52.6%) were female patients. The mean of Framingham Risk Score was found to be (29.07%). The Framingham Risk Score was found significant with gender and calorie intake below the recommended dietary allowances of the patient (p=0.001). The Framingham Risk Score was found significant with physical activity and employment status of the patients (p= 0.001). In linear regression, the Framingham Risk Score was found significant with the lipid profile of the patients (p=0.001) i.e., the higher the value of cholesterol level, the higher the Framingham Risk Score. The chi-square test showed a significant relation between Cholesterol Risk Score and employment status, physical activity, calorie intake, gender, and occupation of the patients (p=0.001, p=0.001, p=0.001, p=0.004) respectively. CONCLUSION: The present study demonstrated that patients with high Framingham risk score and cholesterol risk score are at increased risk of diabetes and cardiovascular disease. The present study concludes that the FRS is higher in patients below RDA, patients doing low physical activity, and sedentary workers. In order to provide proper assistance and counselling, healthcare professionals must continuously analyze each patient's risk factor for CVD and barriers to healthy and preventive behaviors. There is a lack of comprehensive studies comparing the effectiveness of the Framingham Risk Score and Cholesterol Risk Score in predicting hyperlipidemia and associated cardiovascular risks within the context of a tertiary care hospital setting.

Cardiovascular risk in young healthcare professionals: A cross-sectional study.

BACKGROUND: In the last years cardiovascular risk has decreased in grown adults and elderly while it seems to be rising among young adults. OBJECTIVE: to assess the 10-year cardiovascular risk (CVR) in young healthcare professionals at the teaching hospital in Rome, using two scores, and identify possible determinants in order to design and implement preventive strategies. METHODS: A cross-sectional study was carried out between January 2019 and July 2020. Participants underwent medical history collection, physical examination, and blood tests. CVR was calculated using CUORE and Framingham Risk Scores. A multiple linear regression analysis was conducted having the scores as dependent variables. Diagnostic tests were used for checking model assumptions. RESULTS: The study was carried out including 525 participants, 58.5% physicians and 32.1% nurses. Multivariate analysis was carried out only for men, since the pp plot for the whole population and for females for the dependent variables showed some evidence of non-normality, and the residual plot shows variance of the residuals was not constant across the range of fitted values. CVR, using the Framingham equation, directly correlated with age (ß = 0.260; p < 0.001). Using the CUORE score, qualification as a physician (p < 0.001) is associated with a lower risk of having a CVR, while age (p < 0.001) is directly proportional to this risk. CONCLUSIONS: Increasing age consistently emerges as a prominent factor, positively influencing both the Framingham risk score and CUORE score, but this association was found only for men. Being a doctor is a protective factor for the CUORE score.

Perirenal fat thickness contributes to the estimated 10-year risk of cardiovascular disease and atherosclerotic cardiovascular disease in type 2 diabetes mellitus.

Objective: Perirenal adipose tissue (PAT) has emerged as a potential therapeutic target for cardiovascular disease (CVD). However, the relationship between increased perirenal fat thickness (PrFT) and CVD risks in individuals with type 2 diabetes mellitus (T2DM) remains uncertain. This study aimed to evaluate the association between PrFT and the estimated 10-year risk of CVD and atherosclerotic cardiovascular disease (ASCVD) in T2DM. Method: The final analysis included 704 participants. PrFT was quantified using non-enhanced computed tomography scans, while the estimated 10-year CVD and ASCVD risk assessments were based on the Framingham and China-PAR equation risk scores, respectively. Multiple regression analysis was employed to analyze the correlation between PrFT and these risk scores. Results: Higher quartiles of PrFT displayed elevated Framingham and China-PAR equation risk scores (P<0.001). After adjusting for cardiometabolic risk factors and visceral fat area, PrFT remained significantly correlated with Framingham equation risk scores in men (ß=0.098, P=0.036) and women (ß=0.099, P=0.032). Similar correlations were observed between PrFT and China-PAR equation risk scores in men (ß=0.106, P=0.009) and women (ß=0.108, P=0.007). Moreover, PrFT emerged as an independent variable associated with a high estimated 10-year risk of CVD and ASCVD, with odds ratios (ORs) of 1.14 (95% CI: 1.04-1.25, P=0.016) in men and 1.20 (95% CI: 1.11-1.31, P<0.001) in women for high estimated CVD risk, and ORs of 1.22 (95% CI: 1.08-1.41, P=0.009) in men and 1.34 (95% CI: 1.12-1.60, P<0.001) in women for high estimated 10-year ASCVD risk. Furthermore, restricted cubic spline analyses confirmed a nonlinear relationship between PrFT and high estimated CVD and ASCVD risk in both genders (P for nonlinearity and overall < 0.05). Conclusions: PrFT contributed as an independent variable to the estimated 10-year risk of CVD and ASCVD in T2DM.

Joint association of cardiovascular health and frailty with all-cause and cause-specific mortality: a prospective study.

BACKGROUND: Poor cardiovascular health (CVH) and physical frailty were reported to increase mortality risk, but their joint effects have not been fully elucidated. OBJECTIVES: We aimed to explore the separate and joint effects of CVH and frailty on mortality based on two perspectives of Life's Essential 8 (LE8) and Framingham Risk Score (FRS). METHODS: 21 062 participants in the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018 were involved in this study. CVH was evaluated by the LE8 and FRS, and categorized into low, moderate and high CVH groups. Cox proportional hazard models were applied to estimate the separate and joint associations of CVH and frailty index (FI) with all-cause, cardiovascular disease (CVD) and cancer mortality. RESULTS: Over a median follow-up period of 87 months (95% CI: 86.0-88.0), 2036 deaths occurred. The separate linear dose-response relationships between CVH, frailty and mortality were observed (nonlinear P > .05). The combination of low CVH/frailty was negatively associated with all-cause mortality [hazard ratio (HR) and 95%CI: low LE8*FI, 5.30 (3.74, 7.52); high FRS*FI, 4.34 (3.20, 5.88)], CVD mortality [low LE8*FI, 6.57 (3.54, 12.22); high FRS*FI, 7.29 (3.92, 13.55)] and cancer mortality [low LE8*FI, 1.99 (1.14, 3.25); high FRS*FI, 2.32 (1.30, 4.15)], with high CVH/fit group as reference. Further stratified analyses showed that the combined burden of mortality from frailty and low CVH was greater among the young and females. CONCLUSIONS: Low CVH and frailty were independently and jointly correlated with greater risk of all-cause, CVD and cancer deaths, especially among the young and females.

Cardiovascular risk and the COVID-19 pandemic: a population-based and case‒control studies.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic is associated with increases in morbidity and mortality worldwide. The mechanisms of how SARS-CoV-2 may cause cardiovascular (CV) complications are under investigation. The aim of the study was to assess the impact of the COVID-19 pandemic on CV risk. METHODS: These are single-centre Bialystok PLUS (Poland) population-based and case‒control studies. The survey was conducted between 2018 and 2022 on a sample of residents (n = 1507) of a large city in central Europe and patients 6-9 months post-COVID-19 infection (n = 126). The Systematic Coronary Risk Estimation 2 (SCORE2), the Systematic Coronary Risk Estimation 2-Older Persons (SCORE2-OP), the Cardiovascular Disease Framingham Heart Study and the LIFEtime-perspective model for individualizing CardioVascular Disease prevention strategies in apparently healthy people (LIFE-CVD) were used. Subsequently, the study populations were divided into CV risk classes according to the 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. RESULTS: The study population consisted of 4 groups: a general population examined before (I, n = 691) and during the COVID-19 pandemic (II, n = 816); a group of 126 patients post-COVID-19 infection (III); and a control group matched subjects chosen from the pre-COVID-19 pandemic (IV). Group II was characterized by lower blood pressure, low-density lipoprotein cholesterol (LDL-c) and high-density lipoprotein cholesterol (HDL-c) values than group I. Group III differed from the control group in terms of lower LDL-c level. There was no effect on CV risk in the general population, but in the population post-COVID-19 infection, CV risk was lower using FS-lipids, FS-BMI and LIFE-CVD 10-year risk scores compared to the prepandemic population. In all subgroups analysed, no statistically significant difference was found in the frequency of CV risk classes. CONCLUSIONS: The COVID-19 pandemic did not increase the CV risk calculated for primary prevention. Instead, it prompted people to pay attention to their health status, as evidenced by better control of some CV risk factors. As the COVID-19 pandemic has drawn people's attention to health, it is worth exploiting this opportunity to improve public health knowledge through the design of wide-ranging information campaigns.

Ten-year risk of cardiovascular events among the adult population of West Tripura District of India by the Framingham risk score: A cross-sectional study.

Background: Cardiovascular diseases (CVDs) are the leading causes of mortality worldwide. Predicting the 10-year risk of cardiovascular events (CVEs) may save lives through timely intervention. Framingham risk scoring (FRS) can effectively predict this risk. Objectives: This study aimed to estimate the 10-year risk of CVE using FRS and to estimate the prevalence of CVD risk factors and their associations with FRS among adults in the West Tripura District of India. Methodology: This community-based cross-sectional study was conducted from 1 November 2019 to 30 November 2021 in the West Tripura District of India, using FRS 2008 and a pretested interview schedule among 290 individuals aged ≥ 30 years chosen by multistage sampling. Result: The majority, that is 61.7%, of the study subjects had low risk, 18.6% had intermediate risk and 19.7% had high risk of CVE within 10 years. The prevalence of hypertension was 55.6%; diabetes mellitus, 55.9%; smoking, 96.2%; dyslipidaemia, 34.3%; alcohol consumption, 96.2%; physical inactivity, 54%; and obesity, 64.6%. The bivariate analysis detected a significant association of FRS with age, sex, residence, literacy, marital status, obesity, smoking, alcoholism, blood pressure (BP), high-density lipoprotein cholesterol (HDL-C) and glycaemic status of the study subjects. The logistic regression analysis has identified age >50 years, male sex, hypertension, smoking and diabetes mellitus as significant determinants of high FRS. Conclusion: Adults living in the West Tripura District of India have a high prevalence of CVD risk factors. About one-fifth of this population has a high risk of CVE in 10 years. Controlling hypertension, smoking and diabetes mellitus may help reduce this risk.

Cross-sectional and longitudinal evaluation of heart-to-brachium pulse wave velocity for cardiovascular disease risk.

Heart-brachium pulse wave velocity (hbPWV) is a promising measure of arterial stiffness including the proximal aorta. To characterize age-associated changes and the clinical utilities of hbPWV, we evaluated the impacts of age and cardiovascular disease (CVD) risks on hbPWV cross-sectionally (N = 7868) and longitudinally (N = 3710, followed by 9.1 ± 2.0 years). hbPWV were obtained using two validated equations for arterial path length (with and without considering age-related aortic elongations). Brachial-ankle pulse wave velocity (baPWV) was used as a comparative measure. Repeated-measures correlation (rmcorr) and regression analyses were used to characterize associations of PWVs with age and Framingham's general CVD risk score (FRS). In the cross-sectional study, hbPWVs derived by both equations showed stronger correlation with age (r = 0.746 ~ 0.796) and FRS (r = 0.714-0.749) than baPWV (r = 0.554 and r = 0.643). Furthermore, hbPWVs correlated with FRS even after controlling for age (r = 0.260 ~ 0.269, P < 0.0001). In the longitudinal study, hbPWVs demonstrated significantly higher rmcorr coefficient with age than baPWV (rrm=0.439-0.511 vs. 0.307, P < 0.0001). Across the adult lifespan, age-related increases in hbPWVs were almost consistent, starting from young adults, while baPWV displayed accelerated increases with age. A receiver operating characteristic curve analysis indicated that hbPWVs depicted more robust ability to stratify general CVD risk compared with baPWV (AUC = 0.896-0.913 vs. 0.833, P < 0.0001). The results of the follow-up study were consistent with the findings of the cross-sectional investigation. Our findings suggest that hbPWV undergoes a linear augmentation with age, commencing from an early adult life stage onward, rendering it a potential marker for discerning CVD risk.

Machine Learning-Assisted Analysis of Sublingual Microcirculatory Dysfunction for Early Cardiovascular Risk Evaluation and Cardiovascular-Kidney-Metabolic Syndrome Stage in Patients With Type 2 Diabetes Mellitus.

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.

Association between gait video information and general cardiovascular diseases: a prospective cross-sectional study.

Aims: Cardiovascular disease (CVD) may not be detected in time with conventional clinical approaches. Abnormal gait patterns have been associated with pathological conditions and can be monitored continuously by gait video. We aim to test the association between non-contact, video-based gait information and general CVD status. Methods and results: Individuals undergoing confirmatory CVD evaluation were included in a prospective, cross-sectional study. Gait videos were recorded with a Kinect camera. Gait features were extracted from gait videos to correlate with the composite and individual components of CVD, including coronary artery disease, peripheral artery disease, heart failure, and cerebrovascular events. The incremental value of incorporating gait information with traditional CVD clinical variables was also evaluated. Three hundred fifty-two participants were included in the final analysis [mean (standard deviation) age, 59.4 (9.8) years; 25.3% were female]. Compared with the baseline clinical variable model [area under the receiver operating curve (AUC) 0.717, (0.690-0.743)], the gait feature model demonstrated statistically better performance [AUC 0.753, (0.726-0.780)] in predicting the composite CVD, with further incremental value when incorporated with the clinical variables [AUC 0.764, (0.741-0.786)]. Notably, gait features exhibited varied association with different CVD component conditions, especially for peripheral artery disease [AUC 0.752, (0.728-0.775)] and heart failure [0.733, (0.707-0.758)]. Additional analyses also revealed association of gait information with CVD risk factors and the established CVD risk score. Conclusion: We demonstrated the association and predictive value of non-contact, video-based gait information for general CVD status. Further studies for gait video-based daily living CVD monitoring are promising.