Identification and Predictors for Cardiovascular Disease Risk Equivalents among Adults With Diabetes Mellitus

Coronary Artery Disease in Patients on Dialysis: Impact of Traditional Risk Factors

Background and Objectives: End-stage kidney disease (ESKD) is a major risk factor for cardiovascular morbidity and mortality. This study aims to evaluate the contribution of traditional risk factors to the development of coronary artery disease (CAD) in patients on dialysis. Materials and Methods: In this study, 54 patients on dialysis with angina symptoms or a positive exercise stress test underwent coronary angiography. Lesions with obstruction >70% lumen diameter of the coronary artery were considered significant. Traditional risk factors included hypertension, diabetes, smoking, dyslipidemia, age, gender, and time spent on dialysis. Results: Out of 54 participants, 41 (75.92%) were men and 13 (24.07%) women. CAD was present in 34 (62.96%) patients, and 20 (37.03%) patients were without CAD. The average age of the participants was 66.51 years. In the group with CAD, the average age was 69.52 years with an average time spent on dialysis of 2.73 years. In the group without CAD, the average age was 61.40 years with a time spent on dialysis of 2.35 years. Hypertension was present in 92.59% of all participants and 97.05% of those with CAD. Diabetes was present in 41.17 patients with CAD and 40% of those without CAD. Dyslipidemia was present in 76.47 participants with CAD and in 40% of those without CAD. Smoking was noticed in 35.29% of the participants with CAD and 57.14% of those without CAD. Besides hypertension, significant predictors for the development of CAD in patients on dialysis were dyslipidemia (OR 3.698, Cl 1.005-13.608, p = 0.049) and age (OR 1.056, Cl 1.004-1.110, p = 0.033). Conclusions: Among the traditional risk factors, hypertension, dyslipidemia, and age are the predictors for the development of CAD in patients on dialysis. Further large randomized clinical studies are needed to clarify the role of traditional risk factors for CAD in patients with ESKD.

Life's Essential 8 and risks of cardiovascular morbidity and mortality among individuals with type 2 diabetes: A cohort study

BACKGROUND

The association of cardiovascular health levels, as measured by the Life's Essential 8 score, with cardiovascular disease (CVD) incidence and mortality among individuals with type 2 diabetes (T2D) has not been fully elucidated.

METHODS

This cohort study included 15,118 participants with T2D from the UK Biobank who were free of CVD and cancer at baseline. The cardiovascular health of participants was evaluated using the Life's Essential 8 score, categorizing their health levels into low, moderate, and high based on this assessment.

RESULTS

During a median follow-up period of 13.0 years, we observed a total of 4421 cases of CVD, comprising 3467 cases of coronary heart disease (CHD), 811 cases of stroke, 1465 cases of heart failure (HF), and 523 cases of CVD mortality. Compared to participants with low cardiovascular health, those with high cardiovascular health had a 52 %, 50 %, 47 %, 67 %, and 51 % lower risk of CVD, CHD, stroke, HF, and CVD mortality, respectively. Among the components of the Life's Essential 8 score, body mass index showed the highest population attributable risk of 12.1 %. Similar findings were observed in joint analyses of cardiovascular health and diabetes severity status.

CONCLUSIONS

This study emphasizes the importance of maintaining good cardiovascular health among individuals with T2D to reduce their risk of CVD incidence and mortality.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Novel Prediction Equations for Absolute Risk Assessment of Total Cardiovascular Disease Incorporating Cardiovascular-Kidney-Metabolic Health: A Scientific Statement From the American Heart Association

Cardiovascular-kidney-metabolic (CKM) syndrome is a novel construct recently defined by the American Heart Association in response to the high prevalence of metabolic and kidney disease. Epidemiological data demonstrate higher absolute risk of both atherosclerotic cardiovascular disease (CVD) and heart failure as an individual progresses from CKM stage 0 to stage 3, but optimal strategies for risk assessment need to be refined. Absolute risk assessment with the goal to match type and intensity of interventions with predicted risk and expected treatment benefit remains the cornerstone of primary prevention. Given the growing number of therapies in our armamentarium that simultaneously address all 3 CKM axes, novel risk prediction equations are needed that incorporate predictors and outcomes relevant to the CKM context. This should also include social determinants of health, which are key upstream drivers of CVD, to more equitably estimate and address risk. This scientific statement summarizes the background, rationale, and clinical implications for the newly developed sex-specific, race-free risk equations: PREVENT (AHA Predicting Risk of CVD Events). The PREVENT equations enable 10- and 30-year risk estimates for total CVD (composite of atherosclerotic CVD and heart failure), include estimated glomerular filtration rate as a predictor, and adjust for competing risk of non-CVD death among adults 30 to 79 years of age. Additional models accommodate enhanced predictive utility with the addition of CKM factors when clinically indicated for measurement (urine albumin-to-creatinine ratio and hemoglobin A1c) or social determinants of health (social deprivation index) when available. Approaches to implement risk-based prevention using PREVENT across various settings are discussed.

Cardiovascular Disease in Diabetes and Chronic Kidney Disease

Chronic kidney disease (CKD) is a common occurrence in patients with diabetes mellitus (DM), occurring in approximately 40% of cases. DM is also an important risk factor for cardiovascular disease (CVD), but CKD is an important mediator of this risk. Multiple CVD outcomes trials have revealed a greater risk for CVD events in patients with diabetes with CKD versus those without. Thus, reducing the risk of CKD in diabetes should result in improved CVD outcomes. To date, of blood pressure (BP) control, glycemic control, and inhibition of the renin-angiotensin system (RASI), glycemic control appears to have the best evidence for preventing CKD development. In established CKD, especially with albuminuria, RASI slows the progression of CKD. More recently, sodium glucose cotransporter 2 inhibitors (SGLT2i) and glucagon-like peptide receptor agonists (GLP1RA) have revolutionized the care of patients with diabetes with and without CKD. SGLT2i and GLP1RA have proven to reduce mortality, heart failure (HF) hospitalizations, and worsening CKD in patients with diabetes with and without existing CKD. The future of limiting CVD in diabetes and CKD is promising, and more evidence is forthcoming regarding combinations of evidence-based therapies to further minimize CVD events.

Cardiovascular risk in diabetes mellitus: epidemiology, assessment and prevention

Cardiovascular diseases (CVDs) are the leading causes of morbidity and mortality in individuals with type 2 diabetes mellitus (T2DM). Secular changes in CVD outcomes have occurred over the past few decades, mainly due to a decline in the incidence of ischaemic heart disease. The onset of T2DM at a young age (<40 years), leading to a greater number of life-years lost, has also become increasingly common. Researchers are now looking beyond established risk factors in patients with T2DM towards the role of ectopic fat and, potentially, haemodynamic abnormalities in mediating important outcomes (such as heart failure). T2DM confers a wide spectrum of risk and is not necessarily a CVD risk equivalent, indicating the importance of risk assessment strategies (such as global risk scoring, consideration of risk-enhancing factors and assessment of subclinical atherosclerosis) to inform treatment. Data from epidemiological studies and clinical trials demonstrate that successful control of multiple risk factors can reduce the risk of CVD events by ≥50%; however, only ≤20% of patients achieve targets for risk factor reduction (plasma lipid levels, blood pressure, glycaemic control, body weight and non-smoking status). Improvements in composite risk factor control with lifestyle management (including a greater emphasis on weight loss interventions) and evidence-based generic and novel pharmacological therapies are therefore needed when the risk of CVD is high.

Increasing systemic chronic inflammation mediated the association between poor sleep during pregnancy and gestational cardiovascular health

OBJECTIVES

This study aimed to examine the association between sleep behaviors and cardiovascular health (CVH) during pregnancy and test whether high-sensitivity C-reactive protein (hs-CRP) mediates this association.

METHODS

The study included 4204 pregnant women from the Maternal and Infant Health cohort study in Hefei (MIH-Hefei). Information on sleep (chronotype, sleep duration, snoring, daytime sleepiness, and insomnia) was collected through a touch-screen structured questionnaire at 16-23 weeks' gestation. CVH (body mass index, blood pressure, total cholesterol, glucose, and smoking) and hs-CRP were measured at 24-28 weeks' gestation. The role of hs-CRP in the association between sleep and CVH was explored in a mediation analysis, while adjusting for multiple confounding factors.

RESULTS

Poor sleep score was significantly associated with poor gestational CVH metrics, including an RR of 0.872 (95% CI, 0.810, 0.938) for having all ideal (vs. any nonideal) CVH metrics; hs-CRP level was significantly associated with poor gestational CVH metrics, including an RR of 0.531 (95% CI, 0.432, 0.609) for having all ideal (vs. any nonideal) CVH metrics. Sleep scores were positively correlated with hs-CRP level (β, 0.020, 95% CI, 0.006, 0.034). Mediation analysis revealed that the association between sleep and CVH mediated by hs-CRP was 12.31% (indirect effect, -0.0095, 95% CI, -0.0167, -0.0042).

CONCLUSIONS

Poor sleep during pregnancy, particularly late chronotype and snoring, may worsen CVH by increasing systemic chronic inflammation.

Is There a Role for Coronary Calcium in Patients With Diabetes?

In the primary prevention of atherosclerotic cardiovascular disease (ASCVD), a significant portion of high-risk patients have diabetes. Two decades ago, patients with or without cardiovascular disease were identified as having coronary heart disease (CHD) risk equivalents because prospective studies showed that they were at risk for future CHD events equivalent to that of patients with established CHD. Thus, for patients with CHD, cholesterol guidelines recommended that patients with diabetes should be treated routinely with statins. However, recently, the treatment of diabetes has been greatly improved, and the risk for ASCVD has decreased. For this reason, it may be appropriate to re-evaluate the recommendations for routine use of statins in patients with diabetes. One of the major advances in the risk assessment for ASCVD is the introduction of coronary artery calcium measurement. This report will examine the role of coronary artery calcium scanning for the decision to initiate statin therapy in the primary prevention for patients with diabetes.

Diabetes with poor-control HbA1c is cardiovascular disease 'risk equivalent' for mortality: UK Biobank and Hong Kong population-based cohort study

INTRODUCTION

Type 2 diabetes mellitus (T2DM) has traditionally been considered a coronary heart disease 'risk equivalent' for future mortality, but significant heterogeneity exists across people with T2DM. This study aims to determine the risk of all-cause mortality of patients with cardiovascular disease (CVD) and T2DM in UK and Hong Kong, with stratifications for hemoglobin A1 (HbA1c) concentrations, compared with those without CVD and diabetes mellitus.

RESEARCH DESIGN AND METHODS

This is a retrospective cohort study of 3 839 391 adults from Hong Kong and a prospective cohort study of 497 779 adults from the UK Biobank. Individuals were divided into seven disease groups: (1) no T2DM and CVD, (2) T2DM only with HbA1c <7%, (3) T2DM only with HbA1c 7%-7.9%, (4) T2DM only with HbA1c 8%-8.9%, (5) T2DM only with HbA1c ≥9%, (6) CVD only, and (7) T2DM and CVD. Differences in all-cause mortality between groups were examined using Cox regression.

RESULTS

After around 10 years of median follow-up, 423 818 and 19 844 deaths were identified in the Hong Kong cohort and UK Biobank, respectively. Compared with individuals without T2DM and CVD, the adjusted HR for all-cause mortality in the other six disease groups for the Hong Kong cohort was 1.25 (95% CI 1.23 to 1.27) for T2DM only with HbA1c <7%, 1.21 (95% CI 1.19 to 1.23) for T2DM only with HbA1c 7%-7.9%, 1.36 (95% CI 1.33 to 1.39) for T2DM only with HbA1c 8%-8.9%, 1.82 (95% CI 1.78 to 1.85) for T2DM only with HbA1c ≥9%, 1.37 (95% CI 1.36 to 1.38) for CVD only, and 1.83 (95% CI 1.81 to 1.85) for T2DM and CVD, and for the UK Biobank the HR was 1.45 (95% CI 1.33 to 1.58), 1.50 (95% CI 1.32 to 1.70), 1.72 (95% CI 1.43 to 2.08), 2.51 (95% CI 2.05 to 3.08), 1.67 (95% CI 1.59 to 1.75) and 2.62 (95% CI 2.42 to 2.83), respectively. This indicates that patients with T2DM had an increased risk of mortality compared with those without T2DM and CVD, and in those with HbA1c ≥9% an even higher risk than people with CVD.

CONCLUSIONS

Patients with T2DM with poor HbA1c control (8%-8.9% and ≥9%) were associated with similar and higher risk of mortality compared with patients with CVD, respectively. Optimal HbA1c, controlled for risk reduction and prevention of mortality and complications in diabetes management, remains important.

Sleep Duration and Risks of Incident Cardiovascular Disease and Mortality Among People With Type 2 Diabetes

OBJECTIVE

People with type 2 diabetes may have insufficient or prolonged sleep that could accelerate cardiovascular disease (CVD) onset, but existing evidence from prospective studies has been limited. We examined the association of sleep duration with CVD incidence and mortality in this high-risk population.

RESEARCH DESIGN AND METHODS

This prospective study included 18,876 participants with type 2 diabetes in the UK Biobank who were free of CVD and cancer at baseline. Habitual sleep duration was obtained using a baseline questionnaire. Cox proportional hazards regression models were used to examine the association between sleep duration and CVD events.

RESULTS

During an average follow-up of 11.0-12.0 years, we documented 2,570 incident cases of atherosclerotic cardiovascular disease (ASCVD) and 598 CVD deaths. Compared with sleeping for 7 h/day, the multivariable-adjusted hazard ratios of ≤5 and ≥10 h/day were 1.26 (95% CI 1.08, 1.48) and 1.41 (1.16, 1.70) for incident ASCVD, 1.22 (0.99, 1.50) and 1.16 (0.88, 1.52) for coronary artery disease, 1.70 (1.23, 2.35) and 2.08 (1.44, 3.01) for ischemic stroke, 1.02 (0.72, 1.44) and 1.45 (1.01, 2.10) for peripheral artery disease, and 1.42 (1.02, 1.97) and 1.85 (1.30, 2.64) for CVD mortality. Similar results were observed in most sensitivity analyses that aimed to address potential reverse causation and in the joint analyses of sleep duration and metabolic control or diabetes severity status.

CONCLUSIONS

Short and long sleep durations were independently associated with increased risks of CVD onset and death among people with type 2 diabetes.