BACKGROUND: Cardiovascular diseases (CVDs), especially coronary artery disease (CAD), are a major health burden, and their incidence is rising in countries like Pakistan.
OBJECTIVE: The objective of this research was to assess the prevalence and association of cardiovascular risk factors with CAD in Pakistani adults.
METHODS: The research was carried out from January 2023 to December 2023 at the Pakistan Institute of Medical Sciences (PIMS) Islamabad and Shifa International Hospital Islamabad, Pakistan, using a cross-sectional design. Based on predefined criteria, 320 individuals who were Pakistani nationals and over the age of 18 years old were included. Those having a history of congenital heart disease, pregnancy, significant comorbidities, coronary artery bypass grafting (CABG), or percutaneous coronary intervention (PCI) were excluded. Medical, lifestyle, and demographic data were collected, and clinical evaluations were carried out by qualified healthcare workers. The data was analyzed using descriptive statistics and relevant statistical tests. A p<0.05 was statistically significant.
RESULTS: The study investigated cardiovascular risk factors and demographic traits in 320 adult Pakistanis. The majority of participants (n=181; 56.56%) were male and aged between 18 and 45. University education was predominant (n=170; 53.13%). Specifically, 147 participants (45.94%) had dyslipidemia, 74 (23.12%) had diabetes mellitus, and 112 (35.0%) had hypertension. Diabetes mellitus (OR: 9.60, 95% CI: 4.52-20.38, p<0.001), dyslipidemia (OR: 1.88, 95% CI: 1.29-2.75, p=0.001), and hypertension (OR: 2.67, 95% CI: 1.72-4.15, p<0.001) showed significant correlations with CAD. Poor socioeconomic status (OR: 3.00, 95% CI: 1.31-6.89, p=0.009) and genetic propensity (OR: 2.00, 95% CI: 1.02-3.92, p=0.040) were also significantly associated with CAD.
CONCLUSIONS: Our study highlights diabetes as strongly linked to CAD in Pakistani adults, while socioeconomic status emerges as a significant predictor.

The landscape of diabetes management has changed, such that the goal of pharmacotherapy extends beyond glucose-lowering to prioritize risk reduction of cardiovascular disease and diabetic kidney disease. Two newer classes of medications, glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and sodium-glucose cotransporter-2 inhibitors (SGLT2-Is), have become first line therapies for many patients with type 2 diabetes to reduce cardiovascular and renal complications of type 2 diabetes. This review article will describe the mechanism of action, evidence for cardiovascular and kidney outcomes, contraindications, adverse effects, and risk mitigation strategies for the GLP-1 RA and SGLT2-I drug classes. In addition, we will provide a practical approach for primary care clinicians to prescribe, adjust, and combine these medication classes, while considering patient preference, tolerability, comorbidities, cost, and availability.

BACKGROUND: The global prevalence of metabolic syndrome (MetS) increases susceptibility to non-communicable diseases such as obesity, type 2 diabetes, and cardiovascular disease, posing significant health risks. Effective prevention and management require objective tools. The hypertriglyceridemic waist (TG+WC+) phenotype is proposed as a less expensive approach to identify individuals with metabolic syndrome and other cardiovascular risk factors.
OBJECTIVE: The current aim of this investigation is to study the epidemiological characteristics of the hypertriglyceridemic waist phenotype and their correlations with cardiovascular risk factors and MetS in the Moroccan Amazigh ethnic group from the Souss region of Morocco.
METHODS: A total of 827 Amazigh adults from the Sousse region of Morocco were divided into four distinct phenotype groups: TG-WC-, TG+WC-, TG-WC+, and TG+WC+ (normal TG- or high TG+ triglycerides/normal WC- or high WC+ waist circumference). The association of the different phenotypes with MetS and other cardiovascular risk factors was established by logistic regression analysis.
RESULTS: The prevalence of the TG+WC+ phenotype was 27.7% and varied according to age group and sex. Among subjects with the TG+WC+ phenotype, most were 41-60 years old (53.3%) and in women (74.2%). Participants with the TG+WC+ phenotype had the highest prevalence of dyslipidemia (87.3%), hypoHDLaemia (69.9%), and general obesity (37.12%). The three phenotypes TG-WC-, TG+WC- and TG-WC+ were less associated with MetS and other cardiovascular risk factors. Moreover, people with the TG+WC+ phenotype had a very high odds ratio for MetS.
CONCLUSIONS: These findings suggest that the TG+WC+ phenotype exhibits a robust correlation with MetS and additional variables connected to cardiovascular risk. The TG+WC+ phenotype serves as a valuable clinical instrument for detecting individuals vulnerable to MetS and cardiovascular diseases.

Heart failure (HF) is one of the most common diagnoses on admission to hospital in Germany, and one which incurs high costs. Integrated care in case management programs (CMPs) aims to improve treatment quality in the sense of guideline-driven treatment, while reducing hospital admissions, hospital costs, and mortality. A total of 1,844 patient data records from 11 German statutory health insurance companies enrolled in the CMP (intervention group [IG]) were compared with 1,844 standard-care patients (control group) using propensity score matching. The two groups were assessed over three follow-up observation periods regarding the endpoints\' treatment costs, hospitalization rate, indicators for treatment quality (diagnostics, physician contact), and mortality. The evaluation revealed no significant differences regarding overall costs. The IG incurred significantly higher outpatient costs, but the medication costs and inpatient costs were not significantly different. There were also no significant differences in the number of hospital admissions. Patients within the CMP had significantly more frequent contact with a cardiologist, and underwent echocardiographic examination significantly more frequently. Mortality during the first follow-up observation year was considerably more favorable for the IG. There are indications that treatment quality is improved in HF patients.

In younger generations, excess weight has reached very alarming levels. Excess weight in adults is associated with increased mortality and morbidity from cardiovascular disease. However, it is not easy to distinguish to what extent these effects are the result of obesity itself or how much is due to the various cardiovascular risk factors that often accompany excess weight. Several risk factors, such as hypertension, dyslipidemia, hyperuricemia, glucose intolerance, and type 2 diabetes mellitus, are already present in pediatric age. Therefore, early intervention with the goal of correcting and/or eliminating them is particularly important. In the child and adolescent with obesity, the first approach to achieve weight reduction and correct the risk factors associated with severe excess weight should always be non-pharmacologic and based on changing poor eating habits and unhealthy lifestyles. The purpose of this review is to give an update on non-pharmacological interventions to be implemented for cardiovascular prevention in children and adolescents with obesity, and their effectiveness. In particular, interventions targeting each individual cardiovascular risk factor will be discussed.

Cardiovascular diseases (CVDs) are the leading cause of death worldwide. This study focused on evaluating the impact of a Mediterranean-type diet combined with physical exercise on CVD risk factors of high-risk individuals. A randomized clinical trial (RCT) recruited individuals (≥50 years old) with no history of acute myocardial infarction, but with high CVD risk criteria according to the SCORE2/SCORE2 OP. Anthropometric and biochemical parameters were assessed at baseline and after 12 weeks of diet and exercise intervention. Participants were randomly assigned into 3 groups: no intervention group (Group 1a), physical exercise group (Group 1b), and physical exercise (±2 h/week) plus diet group (Group 2). Briefly, the dietary intervention was based on the principles of an isocaloric Mediterranean diet (MD), with seven main meals/week centered on plant-based foods (legumes and pulses). The combined effect of exercise and the diet showed significant decrease in WC (p = 0.002), BST (p < 0.001), visceral fat (p < 0.001), and TG (p = 0.029), compared with control groups. The intervention significantly increased legume intake (p < 0.001), as well as adherence to the MD, which associates with WC decrease (p = 0.024) and visceral fat (p = 0.017). A combined intervention of exercise and diet should be endorsed as an efficient modifier of cardiometabolic parameters.

BACKGROUND: Early diagnosis and control of risk factors affecting frailty syndrome (FS) in older adults may lead to changes in the health/disease process, prevention of disability and dependency in the older adults, and reduction of health care costs and mortality rates. The aim of this study was to determine the predictive role of CVD risk factors and FS in community-dwelling older adults of Amirkola city in Iran.
METHODS: This descriptive-analytic cross-sectional study is part of the second phase of the Amirkola Health and Aging Project (AHAP) cohort study conducted since 2011 on all individuals ≥ 60 years in the city of Amirkola in northern Iran. Totally, 1000 older adults were included in the study and divided into three groups: frail (n = 299), pre-frail (n = 455), and non-frail (n = 246) older adults. In the present study, age ≥ 60 years, female sex, fasting blood sugar (FBS) ≥ 126 mg/dl, affected diabetes mellitus (DM), body mass index (BMI) ≥ 27 kg/m², waist circumference (WC) or abdominal obesity > 102 cm in men and > 88 cm in women, low-density lipoprotein (LDL) > 100 mg/dl, triglyceride > 150 mg/dl, cholesterol > 200 mg/dl, high-density lipoprotein (HDL) < 40 mg/dl and blood pressure (BP) > 90/140 mmHg, uric acid > 7 mg/dl and a positive smoking history were considered CVD risk factors.
RESULTS: The results showed that with each centimeter increase in WC, the odds of frailty compared with non-frailty was 79% higher, and the odds of frailty compared with pre-frailty was 1.43 times higher in older adults. In addition, the prevalence of pre-frailty compared with non-frailty, pre-frailty, and non-frailty was 10.59 times, 6.08 times, and 73.83 times higher in older individuals > 84 years old, respectively. The results of the present study indicated that the prevalence of pre-frailty compared with non-frailty, frailty compared with pre-frailty, and frailty compared with non-frailty was 2.86 times, 3.01 times, and 14.83 times higher in older adults women, respectively. The comparison between frail and non-frail groups represented that in DM older adults, the prevalence of frailty compared with non-frailty was 1.84 times higher and that of frailty compared with pre-frailty was 98% higher. The older adults with an FBS ≥ 126 mg/dl were 53% more likely to become frail, and with each unit increase in uric acid, the odds of becoming frail increased 2.05 times compared with non-frail older adults, and pre-frail compared with non-frail increased 99%.
CONCLUSIONS: The results demonstrated that CVD risk factors predictive of FS included central obesity, age > 84 years, female sex, DM, FBS ≥ 126, and uric acid > 7. This problem highlights the need for preventive strategies in the older adults who are simultaneously vulnerable to CVD and frailty.

Cardiovascular diseases continue to be the leading cause of mortality worldwide, claiming a significant number of lives each year. Despite the advancements in predictive models, including logistic regression, neural networks, and random forests, these techniques often lack transparency and interpretability, limiting their practical application in clinical settings. To address this challenge, this research introduces EPFHD-RARMING, an innovative approach designed to enhance the understanding and predictability of heart disease through the discovery of rare and meaningful patterns. EPFHD-RARMING utilizes rare association rule mining to uncover hidden and unexpected rules that identify critical factors contributing to heart disease. This method is particularly adept at identifying high-risk patterns in individuals who appear healthy but may develop heart disease under certain conditions, thus facilitating early intervention and preventive measures. By integrating these insights with established feature engineering techniques, EPFHD-RARMING enhances its practical utility, enabling medical professionals to proactively manage patient care and tailor interventions to individual risk profiles. This study demonstrates the effectiveness of EPFHD-RARMING in providing a deeper, actionable understanding of the complex dynamics of heart disease. The model\'s ability to identify and interpret rare patterns holds significant promise for advancing medical analytics and improving patient outcomes. Moreover, the applicability of EPFHD-RARMING extends beyond the healthcare domain, offering valuable insights in various fields where the discovery of rare patterns is critical, such as finance, marketing, and cybersecurity. This study conducts a comprehensive evaluation, which demonstrates the superior performance of EPFHD-RARMING compared to traditional predictive models in identifying key factors contributing to heart disease, in terms of interestingness, explainability, and comprehensiveness of insights. The results underscore the potential of this innovative approach to revolutionize our understanding and prediction of heart disease, ultimately contributing to more effective and personalized healthcare solutions. This research emphasizes the importance of rare association rule mining in medical analytics and paves the way for future studies to explore and utilize these techniques across diverse domains.

BACKGROUND: Promoting prevalence of metabolic syndrome (MetS) in Rheumatoid arthritis (RA) patients might occur secondary to RA therapy as well as sedentary life style. However, conflicting observations have been reported on the correlation between MetS and RA. This study aimed to determine the frequency of MetS and association of its components in RA.
METHODS: In this study, 500 RA patients and 500 age- and gender-matched healthy controls were enrolled. MetS was fulfilled through the International Diabetes Federation (IDF) criteria. A multivariate regression model was used to control for variables independently associated with the risk of MetS in RA patients.
RESULTS: The prevalence of MetS was 58.8% on IDF criteria in RA patients that was higher than controls (20.4%). Higher incidence of cardiovascular disease (CVD), the familial history of CVD, hypertension, type 2 diabetes mellitus (T2DM), smoking, dyslipidemia, and higher levels of body mass index (BMI), waist circumference (WC), total cholesterol level, fasting blood sugar (FBS), triglyceride (TG) level, low-density lipoprotein (LDL) level, while lower levels of high-density lipoprotein (HDL) were associated with an increased risk of MetS in RA patients. Multivariate regression analysis indicated that age, WC, dyslipidemia, LDL, and DAS28 were independent predictors of MetS in the RA patients.
CONCLUSIONS: The prevalence of MetS is higher in RA patients. Our findings suggest an association between cardiovascular risk factors and the increased prevalence of MetS in RA patients.

UNASSIGNED: The lack of standard modifiable cardiovascular risk factors (SMuRFs), including hypertension, diabetes, dyslipidemia, and smoking, is reportedly associated with poor outcomes in acute myocardial infarction (AMI). Among patients with no SMuRFs, cancer and chronic systemic inflammatory diseases (CSIDs) may be major etiologies of AMI.
UNASSIGNED: The purpose of this study was to evaluate clinical characteristics and outcomes of patients with cancer, CSIDs, and no SMuRFs in AMI.
UNASSIGNED: This multicenter registry included 2,480 patients with AMI undergoing percutaneous coronary intervention. Patients were divided into 4 groups: active cancer, CSIDs, no SMuRFs, and those remaining. The coprimary endpoint was major adverse cardiovascular events (MACE) and major bleeding events, during hospitalization and after discharge.
UNASSIGNED: Of 2,480 patients, 104 (4.2%), 94 (3.8%), and 120 (4.8%) were grouped as cancer, CSIDs, and no SMuRFs, respectively. During the hospitalization, MACE rates were highest in the no SMuRFs group, followed by the cancer, CSIDs, and SMuRFs groups (22.5% vs 15.4% vs 12.8% vs 10.2%; P < 0.001), whereas bleeding risks were highest in the cancer group, followed by the no SMuRFs, CSIDs, and SMuRFs groups (15.4% vs 10.8% vs 7.5% vs 4.9%; P < 0.001). After discharge, the rates of MACE (33.3% vs 22.7% vs 11.3% vs 9.2%; P < 0.001) and bleeding events (8.6% vs 6.7% vs 3.8% vs 2.9%; P = 0.01) were higher in the cancer group than in the CSIDs, no SMuRFs, and SMuRFs groups.
UNASSIGNED: Patients with active cancer, CSIDs, and no SMuRFs differently had worse outcomes after AMI in ischemic and bleeding endpoints during hospitalization and/or after discharge, compared with those with SMuRFs.