Effects of circuit training and Yoga on biochemical and psychological responses to stress and cardiovascular markers: A randomized clinical trial with nursing and medical students in Southern Brazil.

A Randomized Controlled Trial involving 158 Brazilian medical and nursing students assessed one of three conditions over an 8-week period: 1) a circuit training protocol (CTG); 2) a yoga protocol (YG); or 3) no intervention (CG). The objective was to evaluate the effectiveness of circuit training and yoga protocols in reducing perceived mental stress and examining their effects on serum cortisol levels, as well as on traditional cardiovascular risk factors (CRFs), during an academic semester. Mental stress was measured using self-reported stress questionnaires. For the CTG, comparisons of pre- vs. post-intervention data indicated a reduction in self-reported stress levels on a Brazilian scale (p < 0.001) and an international scale (p < 0.05). Regarding CRFs, there was a reduction in waist circumference (WC) (p < 0.05), systolic blood pressure (SBP) (p < 0.05), and heart rate (HR) (p < 0.001). No changes were observed in diastolic blood pressure (DBP) (p = 0.211) and serum cortisol (SC) (p = 0.423). In the YG, pre- vs. post-intervention data indicated a reduction in self-reported stress levels on the ISSL (p < 0.001), in both resistance and exhaustion stress levels on the PSS scale (p < 0.001), and in SC levels (p < 0.001), WC (p < 0.05), and SBP (p < 0.05); however, HR and DBP did not change (p = 0.168 and p = 0.07, respectively) in this group. No changes were noted in any measures in the CG. The intervention protocols demonstrated that both CTG and YG can positively impact mental or biochemical stress responses, as well as CRFs.

Cardiovascular Risk Factors and Disparities in Management of Embolic Stroke: A Western Sydney Perspective.

BACKGROUND: Ischaemic stroke remains one of the leading causes of death and disability worldwide. The population of Western Sydney has a unique demographic with lower socioeconomic status and a culturally and linguistically diverse population. This study aims to investigate the demographics and cardiovascular risk factors of patients in Western Sydney, focusing on the prevalence and profile of cardioembolic (CE) strokes and embolic strokes of undetermined source (ESUS). METHOD: Prospective data were collected in 463 patients with ischaemic stroke presenting to a tertiary centre in Western Sydney, who underwent predischarge transthoracic echocardiography. Patients with haemorrhagic strokes or unclear stroke diagnosis were excluded. Analysis of stroke subtype (CE, ESUS, or non-embolic) and clinical characteristics was performed based on age, gender, and prior atrial fibrillation (AF) prevalence. RESULTS: Of the 463 patients, 147 (32%) had CE strokes, and 147 (32%) had ESUS. Cardioembolic (CE) strokes were associated with older age (≥65 years) and a history of congestive cardiac failure. Older patients had higher rates of hypertension, ischaemic heart disease, AF, and congestive heart failure. History of AF was present in 67 patients (14.5%); however, only 51% received anticoagulation before admission despite a low bleeding risk. The transthoracic echocardiography characteristics of ESUS/non-embolic strokes differed from those of CE strokes; 20% of patients with ESUS had an enlarged left atrium, suggesting a subset of patients with ESUS with a left atrial myopathy. CONCLUSIONS: Patients with ischaemic stroke in Western Sydney have a high prevalence of cardiovascular risk factors which were often undertreated. Half of the patients with prior AF did not receive anticoagulation despite low bleeding risk, indicating a gap in optimal stroke prevention. There were distinct echocardiographic characteristics among stroke subtypes. Further analysis of left atrium parameters may provide greater insights into the pathogenesis and prevention of embolic strokes.

Evaluation of Cardiovascular Risk in People with Type 1 Diabetes: A Comprehensive and Specific Proposed Practical Approach.

People living with type 1 diabetes (T1D) have an increased risk of cardiovascular disease (CVD), and it is the leading cause of morbidity and mortality in this population. CVD risk increases with each uncontrolled risk factor, even in individuals with good glycaemic control. Recommendations for assessing CVD risk in the T1D population are extended from those for type 2 diabetes (T2D) even though the physiopathology and underlying mechanisms of atherosclerosis in T1D are poorly understood and differ from those in T2D. Unlike the assessment of microvascular complications, which is well established in T1D, this is far from being the case for the comorbidities and risk associated with CVD. Aside from classical cardiovascular comorbidities, carotid ultrasound can be useful to stratify CVD risk. The utilization of specific risk scales such as the Steno Type 1 Risk Engine can help to more accurately classify cardiovascular risk in these individuals. The cornerstones of the management of cardiovascular risk in T1D are the promotion of the Mediterranean diet, tight glycaemic control (glycated haemoglobin (HbA1c) < 7%), blood pressure < 130/80 mmHg in most patients, and low-density lipoprotein (LDL) cholesterol < 100 mg/dL in moderate-risk individuals, < 70 mg/dL in high-risk individuals, and < 55 mg/dL in very high-risk individuals. Conventional medical follow-up of patients with T1D should be individualized (approximately 2-3 visits per year), and a carotid ultrasound evaluation is recommended every 5 years in the absence of significant preclinical atherosclerosis or more often in those with severe preclinical atherosclerosis. Antithrombotic therapy is recommended in those receiving secondary prevention, those with stenosis > 50% in any arterial bed, and those with an impaired ankle-brachial index. This document is a proposal of a practical approach for the evaluation, classification, and management of CVD risk in individuals living with T1D.

Comparative Prevalence of Cerebrovascular Disease in Vietnamese Communities in South-Western Sydney.

Culturally and linguistically diverse (CALD) communities are growing globally. Understanding patterns of cerebrovascular disease in these communities may improve health outcomes. We aimed to compare the rates of transient ischaemic attack (TIA), ischaemic stroke (IS), intracerebral haemorrhage (ICH), intracranial atherosclerosis (ICAD), and stroke risk factors in Vietnamese-born residents of South-Western Sydney (SWS) with those of an Australian-born cohort. A 10-year retrospective analysis (2011-2020) was performed using data extracted from the Health Information Exchange database characterising stroke presentations and risk factor profiles. The rates of hypertension (83.7% vs. 70.3%, p < 0.001) and dyslipidaemia (81.0% vs. 68.2%, p < 0.001) were significantly higher in Vietnamese patients, while the rates of ischaemic heart disease (10.4% vs. 20.3%, p < 0.001), smoking (24.4% vs. 40.8%, p < 0.001), and alcohol abuse (>1 drink/day) (9.6% vs. 15.9%, p < 0.001) were lower. The rates of ICAD and ICH were higher in Vietnamese patients (30.9% vs. 6.9%, p < 0.001 and 24.7% vs. 14.4%, p = 0.002). Regression analysis revealed that diabetes (OR: 1.86; 95% CI: 1.14-3.04, p = 0.014) and glycosylated haemoglobin (OR: 1.51; 95% CI: 1.15-1.98, p = 0.003) were predictors of ICAD in Vietnamese patients. Vietnamese patients had higher rates of symptomatic ICAD and ICH, with unique risk factor profiles. Culturally specific interventions arising from these findings may more effectively reduce the community burden of disease.

Association between residential air pollution exposure and cardiovascular risk factors in adults living in northern France.

Air pollution is associated with elevated cardiovascular mortality and an increase in cardiovascular risk factors. However, the literature data on associations between air pollution and cardiovascular risk factors are contradictory. To explore the relationship between residential exposure to atmospheric pollutants and cardiovascular risk factors (lipid biomarker and blood pressure levels). We studied a sample of 2339 adult participants in the ELISABET study from the Dunkirk and Lille urban areas of France. The mean annual exposure to atmospheric pollutants (PM10, NO2 and SO2) at the home address was estimated via an air dispersion model. The associations were probed in multivariate linear regression models. The mean NO2 level was 26.05 µg/m3 in Lille and 19.96 µg/m3 in Dunkirk. The mean PM10 level was 27.02 µg/m3 in Lille and 26.53 µg/m3 in Dunkirk. We detected a significant association between exposure to air pollutants and the high-density lipoprotein (HDL) (which is a protective factor against cardiovascular diseases) level: for a 2 µg/m3 increment in PM10, the HDL level decreased by 1.72% (p = 0.0037). None of the associations with other lipid variables or with blood pressure were significant. We didn't find evidence significant associations for most of the risk factors but, long-term exposure of adults to moderate levels of ambient air pollution was associated with a decrement in HDL.

Vitamin D Status and Cardiovascular Risk Factors in Patients with Type 2 Diabetes Mellitus: A Cross-Sectional Study in a Tertiary-Level Hospital in Antananarivo, Madagascar.

Background: Diabetes mellitus is already a major cardiovascular risk factor (CRF). Hypovitaminosis D is common in patients with type 2 diabetes mellitus (T2DM). It also increases the cardiovascular risk of these subjects. Objective: To determine the vitamin D status of Malagasy with T2DM seen at the Soavinandriana Hospital Center, and the association between hypovitaminosis D and CRF. Methods: This was a cross-sectional study, carried out over a period of 2 years. Assayed by the chemiluminescence technique, vitamin D was "normal", "insufficient" and "deficient" if the 25-hydroxyvitamin D plasma was ≥30 ng/mL, 20-29 ng/mL and ≤19 ng/mL, respectively. Hypovitaminosis D was the set of vitamin D insufficiency and deficiency. Results: Among the 318 T2DM, the prevalence of hypovitaminosis D was 66.0% (45.2% insufficiency and 20.8% deficiency). Their factors associated were age ≥70 years (OR = 2.15 [1.26-3.66]), glycated haemoglobin ≥7% (4.97 [2.97-8.39]), and retinopathy (OR = 4.15 [1.85-9.32]). After adjustment for age, Hb A1c ≥7% and retinopathy, hypovitaminosis D was associated with hypertension (OR = 8.77 [4.76-16.2]), dyslipidaemia (OR = 8.05 [3.98-14.5]), ex-smoking (OR = 6.07 [2.78-13.3]), microalbuminuria (OR = 2.95 [1.25-6.97]) and carotid atherosclerosis (OR = 2.96 [1.83-4.35]). Conclusion: Hypovitaminosis D was common in T2DM. Its treatment is primarily preventive. It is also important to control associated CRF, diabetes and its complications.

Cardiovascular Risk in Cancer Patients Treated with Immune Checkpoint Inhibitors: Challenges and Future Directions.

Cardiovascular disease is the leading cause of non-cancer related mortality and morbidity among people living with or cured from cancer. Immune checkpoint inhibitors (ICIs) are systemic anti-cancer therapies that have revolutionised the treatment of numerous cancers, even achieving durable long-term responses among patients with metastatic disease. However, the pro-inflammatory effects of ICIs have been postulated to increase the risk of atherosclerotic cardiovascular disease (ASCVD) in cancer survivorship. Standard modifiable cardiovascular risk factors can further contribute to ASCVD risk during cancer survivorship but are not routinely screened and are often untreated in patients with cancer. With the expanding use of ICIs leading to improved cancer survivorship, cardiovascular risk identification and prevention will be paramount in the care of patients with cancer. This review highlights the practical challenges associated with ASCVD prevention among the growing number of patients treated with ICIs for cancer, including balancing competing mortality risks from cancer and ASCVD, the lack of ICI-specific cardiovascular risk stratification tools, potential interactions between cardiovascular and oncological therapies, and barriers to implementation of cardiovascular screening and prevention within existing healthcare systems.

Relationship between degree of risk factor control and all-cause mortality in individuals with type 2 diabetes: A prospective cohort study.

AIMS: To assess whether and to what extent excess risk of all-cause death is reduced in individuals with type 2 diabetes by achieving optimal control of traditional cardiovascular risk factors. METHODS: This observational, prospective, cohort study enrolled 15,773 Caucasian patients in 19 Italian centres in 2006-2008. Participants were stratified according to the number of the following risk factors outside target: haemoglobin A1c, blood pressure, micro/macroalbuminuria, current smoking, LDL cholesterol, and triglycerides. All-cause mortality was retrieved for 15,656 patients (99.3 %) on 31 October 2015. RESULTS: Age-adjusted mortality rates and hazard ratios were significantly higher in the whole RIACE cohort (by ∼20 %) and in patients with (by ∼100 %) but not in those without prior cardiovascular disease (CVD), as compared with the coeval Italian general population. In all patients and in those without prior CVD, the relationship with mortality according to the number of risk factors outside target was J-shaped, an effect that was attenuated after either excluding "overtreated " patients, i.e., those with haemoglobin A1c ≤6.0 % on anti-hyperglycaemic agents causing hypoglycaemia and/or systolic blood pressure ≤120 mmHg on anti-hypertensive agents, or adjusting for "overtreatment". Conversely, in patients with prior CVD, mortality remained higher than in the general population in all categories and increased progressively from +70 % to +314 %, without J-effect. CONCLUSIONS: In patients with type 2 diabetes, optimal treatment of traditional cardiovascular risk factors completely eliminated the excess mortality risk versus the general population, provided that they were not "overtreated". However, this effect was observed only in participants without history of CVD. TRIAL REGISTRATION: ClinicalTrials.gov, NCT00715481, retrospectively registered 15 July 2008.

[Secondary prevention of cardiovascular diseases : targeting all the cardiovascular risk factors]. / Prévention secondaire des maladies cardiovasculaires : cibler l'ensemble des facteurs de risque.

This article focuses on the secondary prevention of cardiovascular (CV) diseases, namely the prevention of recurrence in subjects with a personal history of CV event, and the prevention of a first event in patients identified as at very high risk. For all these patients at very high risk, treatment is primarily based on the application of hygienic and dietary measures, including increasing the volume of physical activity, modifying the diet, and obtaining, if necessary, weight loss, as well as stopping smoking. This strategy has proven its benefits in terms of reducing morbidity and mortality. In addition, these patients must receive pharmacological treatment, whose the additional benefits are proven. The article details the pharmacological classes that are currently recommended, as well as the optimal management of CV risk factors and the therapeutic targets to be achieved.

Cet article s'intéresse à la prévention secondaire des maladies cardio-vasculaires (CV), c'est-à-dire la prévention de la récidive chez les sujets ayant une histoire personnelle d'événement CV, et la prévention d'un premier événement chez les patients identifiés comme à très haut risque. Pour tous ces patients à très haut risque, la prise en charge est, avant tout, basée sur l'application de mesures hygiéno-diététiques, incluant l'augmentation du volume d'activité physique, la modification du régime alimentaire et l'obtention si nécessaire d'une perte pondérale, ainsi que l'arrêt du tabac. Cette stratégie a prouvé ses bénéfices en termes de réduction de la morbidité et de la mortalité. En outre, ces patients doivent recevoir un traitement pharmacologique, dont les bénéfices additionnels sont prouvés. L'article détaille les classes pharmacologiques recommandées actuellement, ainsi que la prise en charge optimale des facteurs de risque CV et les cibles thérapeutiques à atteindre.

Prevalence, predictors, and in-hospital outcomes of ST-elevation myocardial infarction among young adults without traditional cardiovascular risk factors in the United States.

Background: Standard Modifiable Cardiovascular Risk Factors (SMuRF) such as hypertension, diabetes mellitus, hypercholesterolemia, and smoking have long been established in the etiology of atherosclerotic disease. Studies suggest that patients without any of these risk factors (SMuRF-less) who present with ST-elevation myocardial infarction have worse outcomes. Methods: The National Inpatient Sample databases (2016 to 2020) was queried to identify STEMI admissions as a principal diagnosis using ICD 10 codes. The study population aged 18 to 45 years were divided into cohorts of SMuRF and SMuRF-less based on the presence of ≥1 risk factor (hypertension, diabetes mellitus, hyperlipidemia, and smoking), and in-hospital outcomes were compared. Results: 41,990 patients were identified as the final study population. 38,495 patients were identified as SMuRF, and 3495 patients were SMuRF-less. Compared to SMuRF patients, SMuRF-less patients are more likely to be females (23.2 % vs. 21.2 %), have congestive heart failure (16.6 % vs. 13.7 %, p < 0.01) but less likely to have obesity (13.7 % vs 28.0 %, p < 0.01) In evaluating outcomes, SMuRF-less patients had higher adjusted in-hospital mortality (aOR 2.6, CI 1.5-4.2, p < 0.01), Cardiogenic shock (aOR 1.8, CI 1.3-2.5, p < 0.01), acute kidney injury (aOR 1.4, CI 1.0-1.9, p = 0.02), and Extramembrane Corporeal Oxygenation (aOR 4.1, CI 1.1-15.1, p = 0.03). Fluid and electrolyte abnormalities was an independent predictor of mortality among SMuRF-less patients (aOR 3.82, CI 1.3-11.2, p < 0.01). Conclusion: Young patients who present with STEMI and have no traditional cardiovascular risk factors have worse in-hospital outcomes. Further research is needed to evaluate the impact of non-traditional risk factors on acute myocardial infarction.

Oral Semaglutide in Routine Clinical Practice: Characteristics of People with Type 2 Diabetes Started on the Drug and Changes in Their Clinical Parameters after 24 Weeks of Treatment.

Background/Objectives: Semaglutide is the unique once-daily oral glucagon-like receptor agonist presently available. Aims of this study were to describe clinical characteristics of patients with type 2 diabetes (T2D) initiating oral semaglutide, to assess its effects on glycemic control, body weight (BW) and its tolerability in routine clinical practice. Methods: Electronic medical records from two Italian diabetes clinics were evaluated. Mean glycated hemoglobin (HbA1c) and BW were assessed in adults with T2D before and 6 months after oral semaglutide prescription. Treatment discontinuation and safety data were reported. Results: A total of 192 patients initiating oral semaglutide (44% female) presented a mean age of 66 years, a diabetes duration of 10 years, HbA1c of 7.9% and a BW of 82.6 kg. Almost 50% of patients were obese. Mean HbA1c and BW changes from baseline to follow up were -0.7% and -2.6 kg, respectively. Greater HbA1c reduction was observed in patients with baseline HbA1c ≥ 8% and with diabetes duration <5 years. The composite endpoint of HbA1c ≤7% and a weight loss ≥5% was achieved in 22.5% of the participants. A total of 40 patients (20.8%) discontinued treatment: 26 because of gastrointestinal adverse events, and 10 due to limited effectiveness in lowering HbA1c and/or BW. Conclusions: In a real clinical setting, patients initiating oral semaglutide showed suboptimal metabolic control, short diabetes duration and obesity; a significant improvement in HbA1c and BW was achieved mainly in patients with a more recent diabetes diagnosis, supporting the use of oral semaglutide in the early phase of the disease.

The Cardiovascular Risk Awareness and Health Lifestyle of Italian Women.

Background: Cardiovascular (CV) disease is the leading cause of death in women, but few of them are aware of the CV risks (CVRs). Most women are not aware of all the CV risk factorsand their knowledge often still does not improve their lifestyle. Methods: The Carin Women is a survey conducted among Italian women by filling out a questionnaire in the waiting rooms of clinics. The aim was to determine the level of awareness of women's cardiovascular risk, knowledge of risk factors, and lifestyle. A total of 5590 questionnaires were completed in two different periods. Results: Median age was 56 (IQR 46-65); BMI was 25 (IQR 22-29). Schooling, marital status, and rate of risk conditions were assessed; 311 women (5.57%) had already suffered a cardiovascular event. The relationship between the CV events and the number of traditional risk factors was significant. A similar curve, but without significant differences, was reported for non-traditional risk factors. From the total number of women, 23% with a high CVR and 62% with a very high CVR underestimated thei risk regardless of their level of education. Up to 43% of women underestimated female CV risk compared to male risk. Women showed a good knowledge of traditional risk factors, but only a few of them had a healthy lifestyle: 21.86% were smokers, only 45.88% performed sufficient physical activity, 27.55% did not recognize they were overweight, and only 30.4% consumed more than two daily portions of fruit and vegetables. Most women (86%) need more information about CVR. Conclusions: Italian women underestimate female CVRs and their own CVR.

Cardiovascular risk factors among older persons with cognitive frailty in middle income country.

BACKGROUND: Cognitive frailty, characterized by the coexistence of cognitive impairment and physical frailty, represents a multifaceted challenge in the aging population. The role of cardiovascular risk factors in this complex interplay is not yet fully understood. AIM: To investigate the relationships between cardiovascular risk factors and older persons with cognitive frailty by pooling data from two cohorts of studies in Malaysia. METHODS: A comprehensive approach was employed, with a total of 512 community-dwelling older persons aged 60 years and above, involving two cohorts of older persons from previous studies. Datasets related to cardiovascular risks, namely sociodemographic factors, and cardiovascular risk factors, including hypertension, diabetes, hypercholesterolemia, anthropometric characteristics and biochemical profiles, were pooled for analysis. Cognitive frailty was defined based on the Clinical Dementia Rating scale and Fried frailty score. Cardiovascular risk was determined using Framingham risk score. Statistical analyses were conducted using SPSS version 21. RESULTS: Of the study participants, 46.3% exhibited cognitive frailty. Cardiovascular risk factors including hypertension (OR:1.60; 95%CI: 1.12-2.30), low fat-free mass (OR:0.96; 95%CI: 0.94-0.98), high percentage body fat (OR:1.04; 95%CI: 1.02-1.06), high waist circumference (OR:1.02; 95%CI: 1.01-1.04), high fasting blood glucose (OR:1.64; 95%CI: 1.11-2.43), high Framingham risk score (OR:1.65; 95%CI: 1.17-2.31), together with sociodemographic factors, i.e., being single (OR 3.38; 95%CI: 2.26-5.05) and low household income (OR 2.18; 95%CI: 1.44-3.30) were found to be associated with cognitive frailty. CONCLUSION: Cardiovascular-risk specific risk factors and sociodemographic factors were associated with risk of cognitive frailty, a prodromal stage of dementia. Early identification and management of cardiovascular risk factors, particularly among specific group of the population might mitigate the risk of cognitive frailty, hence preventing dementia.

Incorporating AI into cardiovascular diseases prevention-insights from Singapore.

Improved upstream primary prevention of cardiovascular disease (CVD) would enable more individuals to lead lives free of CVD. However, there remain limitations in the current provision of CVD primary prevention, where artificial intelligence (AI) may help to fill the gaps. Using the data informatics capabilities at the National University Health System (NUHS), Singapore, empowered by the Endeavour AI system, and combined large language model (LLM) tools, our team has created a real-time dashboard able to capture and showcase information on cardiovascular risk factors at both individual and geographical level- CardioSight. Further insights such as medication records and data on area-level socioeconomic determinants allow a whole-of-systems approach to promote healthcare delivery, while also allowing for outcomes to be tracked effectively. These are paired with interventions, such as the CHronic diseAse Management Program (CHAMP), to coordinate preventive cardiology care at a pilot stage within our university health system. AI tools in synergy allow the identification of at-risk patients and actionable steps to mitigate their health risks, thereby closing the gap between risk identification and effective patient care management in a novel CVD prevention workflow.

The effects of multidisciplinary collaborative care on cardiovascular risk factors among patients with diabetes in primary care settings: A systematic review and meta-analysis.

BACKGROUND: Multidisciplinary collaborative care has been widely recommended as an effective strategy for managing diabetes; however, the cardiovascular risk factors of patients with diabetes are often inadequately managed in primary care settings. This study aimed to assess the effect of multidisciplinary collaboration on cardiovascular risk factors among patients with diabetes in primary care settings. METHODS: Five databases (i.e., Medline, Embase, CINAHL, SCOPUS and CENTRAL) were systematically searched to retrieve randomised controlled trials. Studies were eligible for inclusion if the interventions included a multidisciplinary team with professionals from at least three health disciplines and focused on patients with diabetes in primary care settings. A random-effects model was used to calculate the pooled effects. RESULTS: In total, 19 studies comprising 6538 patients were included in the meta-analysis. The results showed that compared with usual care, multidisciplinary collaborative care significantly reduced cardiovascular risk factors, including mean systolic blood pressure (-3.27 mm Hg, 95 % confidence interval [CI]: -4.72 to -1.82, p < 0.01), diastolic blood pressure (-1.4 mm Hg, 95 % CI: -2.32 to -0.47, p < 0.01), glycated haemoglobin (-0.42 %, 95 % CI: -0.59 to -0.25, p < 0.01), low-density lipoprotein (-0.16 mmol/L, 95 % CI: -0.26 to -0.06, p < 0.01) and high-density lipoprotein (0.06 mmol/L, 95 % CI: 0.00-0.12, p < 0.05). The subgroup analysis showed multidisciplinary collaboration was more effective in reducing cardiovascular risk factors when it comprised team members from a number of different disciplines, combined pharmacological and non-pharmacological components, included both face-to-face and remote interactions and was implemented in high-income countries. CONCLUSION: Multidisciplinary collaborative care is associated with reduced cardiovascular risk factors among patients with diabetes in primary care. Further studies need to be conducted to determine the optimal team composition.

Advancements in Artificial Intelligence for Precision Diagnosis and Treatment of Myocardial Infarction: A Comprehensive Review of Clinical Trials and Randomized Controlled Trials.

Coronary artery disease (CAD) is still a serious global health issue that has a substantial impact on death and illness rates. The goal of primary prevention strategies is to lower the risk of developing CAD. Nevertheless, current methods usually rely on simple risk assessment instruments that might overlook significant individual risk factors. This limitation highlights the need for innovative methods that can accurately assess cardiovascular risk and offer personalized preventive care. Recent advances in machine learning and artificial intelligence (AI) have opened up interesting new avenues for optimizing primary preventive efforts for CAD and improving risk prediction models. By leveraging large-scale databases and advanced computational techniques, AI has the potential to fundamentally alter how cardiovascular risk is evaluated and managed. This review looks at current randomized controlled studies and clinical trials that explore the application of AI and machine learning to improve primary preventive measures for CAD. The emphasis is on their ability to recognize and include a range of risk elements in sophisticated risk assessment models.

Association between low-carbohydrate-diet score, glycemia and cardiovascular risk factors in adults with type 1 diabetes.

BACKGROUND AND AIMS: Low-carbohydrate-diets (LCDs) are gaining popularity in individuals with type 1 diabetes (T1D). However, the impact of such diets on glycemia and cardiovascular risk factors is debated. This study aims to evaluate associations between low-carbohydrate intakes using LCD score with glycemia and cardiovascular risk factors (lipid profile) in adults with T1D or LADA in Québec, Canada. METHODS AND RESULTS: This is a cross-sectional study using data collected in the BETTER registry (02/2019 and 04/2021) including self-reported 24-h dietary recalls to calculate LCD scores, waist circumference, level-2 and level-3 hypoglycemic episodes and measured biochemical data (HbA1c, LDL-cholesterol and non-HDL-cholesterol). Participants were divided into quartiles (Q) based on LCD scores. Two hundred eighty-five adults (aged 48.2 ± 15.0 years; T1D duration 25.9 ± 16.2 years) were included. Categorical variables underwent Chi-squared/Fisher's Exact tests, while continuous variables underwent ANOVA tests. Mean carbohydrate intake ranged from 31.2 ± 6.9% (Q1) to 56.5 ± 6.8% (Q4) of total daily energy. Compared to Q4, more people in Q1 reported HbA1c ≤ 7% [≤53.0 mmol/mol] (Q1: 53.4% vs. Q4: 29.4%; P = 0.011). The same results were found in the models adjusted for age, sex and T1D duration. A greater proportion of participants in Q1 never experienced level-3 hypoglycemia compared to Q3 (Q1: 60.0% vs. Q3: 31.0%; P = 0.004). There were no differences across quartiles for frequency of level-2 hypoglycemia events and lipid profile (LDL-cholesterol and non-HDL-cholesterol). CONCLUSIONS: Low-carbohydrate intakes are associated with higher probabilities of reaching HbA1c target and of never having experienced level-3 hypoglycemia. No associations with level-2 hypoglycemia frequency, nor cardiovascular risk factors were observed.

Morning physical activity may be more beneficial for blood lipids than afternoon physical activity in older adults: a cross-sectional study.

BACKGROUND: The effect of differences in daily physical activity patterns on blood lipids has not been determined. This study examines the effects of the differences in free-living daily physical activity patterns (amount and intensity) on blood lipid levels in older adults. METHODS: This cross-sectional study included 51 older participants (71.8 ± 0.6 years, men = 8, women = 43). A triaxial accelerometer was used to assess physical activity patterns. The time from awakening to bedtime for each participant was used for group classification based on the amount (number of steps) and intensity (moderate-to-vigorous physical activity, MVPA) of physical activity. The morning step group (M Step) was defined as those who took more steps in the morning, and the afternoon step group (A Step) was defined as those who took more steps in the afternoon. The same method was used for MVPA (morning MVPA: M MVPA; afternoon MVPA: A MVPA). Blood samples were collected at the start of the study to determine blood lipid levels. RESULTS: Number of steps taken showed a trend toward lower low-density lipoprotein cholesterol (LDL-C) levels in the M Step group compared with the A Step group. The LDL/high-density lipoprotein (HDL) ratio was significantly lower in the M Step group than the A Step group (p < 0.05). The M MVPA group also had higher HDL-C levels and significantly lower LDL/HDL ratios than the A MVPA group (p < 0.05). CONCLUSIONS: These results suggest that compared with afternoon physical activity, daily morning physical activity (amount and intensity) is more effective in improving blood lipid levels.