Novel Biomarker of Oxidative Stress Is Associated With Risk of Death in Patients With Coronary Artery Disease.

BACKGROUND: Free radical scavengers have failed to improve patient outcomes, promoting the concept that clinically important oxidative stress may be mediated by alternative mechanisms. We sought to examine the association of emerging aminothiol markers of nonfree radical mediated oxidative stress with clinical outcomes. METHODS AND RESULTS: Plasma levels of reduced (cysteine and glutathione) and oxidized (cystine and glutathione disulphide) aminothiols were quantified by high performance liquid chromatography in 1411 patients undergoing coronary angiography (mean age 63 years, male 66%). All patients were followed for a mean of 4.7 ± 2.1 years for the primary outcome of all-cause death (n=247). Levels of cystine (oxidized) and glutathione (reduced) were associated with risk of death (P<0.001 both) before and after adjustment for covariates. High cystine and low glutathione levels (>+1 SD and <-1 SD, respectively) were associated with higher mortality (adjusted hazard ratio [HR], 1.63; 95% confidence interval [CI], 1.19-2.21; HR, 2.19; 95% CI, 1.50-3.19; respectively) compared with those outside these thresholds. Furthermore, the ratio of cystine/glutathione was also significantly associated with mortality (adjusted HR, 1.92; 95% CI, 1.39-2.64) and was independent of and additive to high-sensitivity C-reactive protein level. Similar associations were found for other outcomes of cardiovascular death and combined death and myocardial infarction. CONCLUSIONS: A high burden of oxidative stress, quantified by the plasma aminothiols, cystine, glutathione, and their ratio, is associated with mortality in patients with coronary artery disease, a finding that is independent of and additive to the inflammatory burden. Importantly, these data support the emerging role of nonfree radical biology in driving clinically important oxidative stress.

Circulating CD34+ progenitor cells and risk of mortality in a population with coronary artery disease.

RATIONALE: Low circulating progenitor cell numbers and activity may reflect impaired intrinsic regenerative/reparative potential, but it remains uncertain whether this translates into a worse prognosis. OBJECTIVES: To investigate whether low numbers of progenitor cells associate with a greater risk of mortality in a population at high cardiovascular risk. METHODS AND RESULTS: Patients undergoing coronary angiography were recruited into 2 cohorts (1, n=502 and 2, n=403) over separate time periods. Progenitor cells were enumerated by flow cytometry as CD45(med+) blood mononuclear cells expressing CD34, with additional quantification of subsets coexpressing CD133, vascular endothelial growth factor receptor 2, and chemokine (C-X-C motif) receptor 4. Coefficient of variation for CD34 cells was 2.9% and 4.8%, 21.6% and 6.5% for the respective subsets. Each cohort was followed for a mean of 2.7 and 1.2 years, respectively, for the primary end point of all-cause death. There was an inverse association between CD34(+) and CD34(+)/CD133(+) cell counts and risk of death in cohort 1 (ß=-0.92, P=0.043 and ß=-1.64, P=0.019, respectively) that was confirmed in cohort 2 (ß=-1.25, P=0.020 and ß=-1.81, P=0.015, respectively). Covariate-adjusted hazard ratios in the pooled cohort (n=905) were 3.54 (1.67-7.50) and 2.46 (1.18-5.13), respectively. CD34(+)/CD133(+) cell counts improved risk prediction metrics beyond standard risk factors. CONCLUSIONS: Reduced circulating progenitor cell counts, identified primarily as CD34(+) mononuclear cells or its subset expressing CD133, are associated with risk of death in individuals with coronary artery disease, suggesting that impaired endogenous regenerative capacity is associated with increased mortality. These findings have implications for biological understanding, risk prediction, and cell selection for cell-based therapies.

Elevated Levels of Serum Fibrin and Fibrinogen Degradation Products Are Independent Predictors of Larger Coronary Plaques and Greater Plaque Necrotic Core.

BACKGROUND: Co-existence of vulnerable plaque and pro-thrombotic state may provoke acute coronary events. It was hypothesized that elevated serum levels of fibrin and fibrinogen degradation products (FDP) are associated with larger total plaque and necrotic core (NC) areas. METHODS AND RESULTS: Seventy-five patients presenting with stable anginal symptoms (69%) or stabilized acute coronary syndrome (ACS; 31%), and found to have non-obstructive coronary artery disease (CAD) with a fractional flow reserve >0.8, were studied. Invasive virtual histology intravascular ultrasound (VH-IVUS) was performed in 68 LAD arteries, 6 circumflex arteries, and 1 right coronary artery. Serum FDP levels were measured using ELISA technique. Plaque volumetrics and composition were assessed in each VH-IVUS frame and averaged. The median age of patients was 56 (47-63) years; 52% were men and 23% had diabetes. The average length of coronary artery studied was 62 mm. After adjustment for systemic risk factors, medications, CRP levels and ACS, male gender (P<0.001) and serum FDP levels (P=0.02) were independent predictors of a larger NC area. Older age (P<0.001), male gender (P<0.0001) and increased serum FDP level (P=0.03) were associated with a larger plaque area. CONCLUSIONS: In patients with CAD, a higher serum level of FDP is independently associated with larger plaques and greater plaque NC.

Implications of Diagnosis Through a Machine Learning Algorithm on Management of People With Familial Hypercholesterolemia.

Background: Familial hypercholesterolemia (FH) is an underdiagnosed genetic condition that leads to premature cardiovascular disease. Flag, Identify, Network, and Deliver (FIND) FH is a machine learning algorithm (MLA) developed by the Family Heart Foundation that identifies high-risk individuals in the electronic medical record for targeted FH screening. Objectives: The purpose of this study was to characterize the FH diagnostic coding status of patients detected by a MLA screening and assess for correlations with patterns in medical management and cardiovascular outcomes. Methods: We applied the FIND FH MLA to a retrospective, cross-sectional cohort within one large academic medical center. Individual patient charts were manually reviewed and stratified by diagnosis status. Variables including baseline characteristics, medical history, family history, laboratory values, medications, and cardiovascular outcomes were compared across diagnosis status. Results: The MLA identified 471 patients over 5.5 years with a high probability for FH. 121 (26%) previously undiagnosed patients met criteria for having "likely FH." Those with established FH diagnoses (n = 32) had significantly more lipid panel monitoring, prescriptions for non-statin or combination lipid-lowering agents, visits with a cardiologist, and frequency of coronary artery calcium score (CACS) testing or lipoprotein(a) testing than undiagnosed patients with likely FH. The 2 groups had no significant differences in having had prior major adverse cardiovascular events. The remaining 318 patients were classified as having "suspected FH." Conclusions: These findings suggest that implementation of a MLA approach such as FIND FH may be feasible for identifying undiagnosed individuals living with FH, as well as addressing treatment disparities in this population at increased cardiovascular risk.

Primary care clinician engagement in implementing a machine-learning algorithm for targeted screening of familial hypercholesterolemia.

Objective: To assess the impact of a multi-pronged educational approach on the knowledge, attitudes, and behaviors regarding Familial Hypercholesterolemia (FH) management at a large academic medical center with the aim of empowering primary care clinicians (PCC) to diagnose and treat FH. Methods: A comprehensive educational program for PCCs on FH management was developed and piloted from July 2022 to March 2024. Components of our intervention included: 1. Implementation of a novel clinical decision support tool in the electronic medical record for FH management, 2. Development and dissemination of an interactive educational website focused on FH and its management, 3. Delivery of virtual instructional sessions to increase awareness of the tool, provide education on its use, and obtain support from institutional leadership, and 4. Direct outreach to a pilot subset of PCCs whose patients had been detected using the validated FIND FH® machine learning algorithm. Participating clinicians were surveyed at baseline before the intervention and after the educational session. Results: 70 PCC consented to participate in the study with a survey completion rate of 79 % (n = 55) and 42 % (n = 23) for the baseline and follow-up surveys, respectively. Objective PCC knowledge scores improved from 40 to 65 % of responders correctly responding to at least 2/3rds of survey questions. Despite the fact that 87 % identified PCC's as most effective for early detection of FH, 100 % of PCCs who received direct outreach chose to defer care to an outpatient cardiologist over pursuing workup in the primary care setting. Conclusion: Empowering PCCs in management of FH serves as a key strategy in addressing this underdiagnosed and undertreated potentially life-threatening condition. A systems-based approach to addressing these aims may include leveraging EMR-based clinical decision support models and cross-disciplinary educational partnerships with medical specialists.

Investigation of 95 variants identified in a genome-wide study for association with mortality after acute coronary syndrome.

BACKGROUND: Genome-wide association studies (GWAS) have identified new candidate genes for the occurrence of acute coronary syndrome (ACS), but possible effects of such genes on survival following ACS have yet to be investigated. METHODS: We examined 95 polymorphisms in 69 distinct gene regions identified in a GWAS for premature myocardial infarction for their association with post-ACS mortality among 811 whites recruited from university-affiliated hospitals in Kansas City, Missouri. We then sought replication of a positive genetic association in a large, racially diverse cohort of myocardial infarction patients (N = 2284) using Kaplan-Meier survival analyses and Cox regression to adjust for relevant covariates. Finally, we investigated the apparent association further in 6086 additional coronary artery disease patients. RESULTS: After Cox adjustment for other ACS risk factors, of 95 SNPs tested in 811 whites only the association with the rs6922269 in MTHFD1L was statistically significant, with a 2.6-fold mortality hazard (P = 0.007). The recessive A/A genotype was of borderline significance in an age- and race-adjusted analysis of the entire combined cohort (N = 3095; P = 0.052), but this finding was not confirmed in independent cohorts (N = 6086). CONCLUSIONS: We found no support for the hypothesis that the GWAS-identified variants in this study substantially alter the probability of post-ACS survival. Large-scale, collaborative, genome-wide studies may be required in order to detect genetic variants that are robustly associated with survival in patients with coronary artery disease.

The role of C-reactive protein as a risk predictor of coronary atherosclerosis: implications from the JUPITER trial.

Much controversy surrounds the use of high-sensitivity C-reactive protein (hs-CRP) as a marker of cardiovascular (CV) risk. Although data regarding the association of hs-CRP with CV disease is extensive and consistent, its role in clinical practice remains unclear. The American Heart Association (AHA) recently published a scientific statement regarding criteria for evaluation of novel markers of CV risk. This article provides a comprehensive review of data regarding hs-CRP as a risk marker for CV disease in the context of these AHA criteria. The impact of the JUPITER trial on the utility of hs-CRP as a risk marker is emphasized. The review concludes with an evidence-based statement regarding the current role of hs-CRP in CV risk prediction.

Alcohol and the heart: an ounce of prevention.

OPINION STATEMENT: Moderate alcohol intake is beneficial to the heart and cardiovascular system. A J- or U-shaped response has been shown in the majority of studies examining alcohol's effect on cardiovascular mortality and downstream cardio-metabolic effects, with heavy alcohol intake associated with worse outcomes. These effects apply to individuals with and without underlying coronary artery disease. However, care must be taken in defining "moderate" intake between the sexes. Males appear to have a wider therapeutic window and can afford 2 to 3 drinks per day whereas women should limit intake to 1 to 2 drinks per day (a "drink" being classified as 10 to 14 grams of alcohol). More than half of alcohol's cardioprotective effects can be attributed to its effect on lipoproteins, specifically an increase in high-density lipoprotein. Interestingly, the risk of cardiovascular mortality in former heavy drinkers has been shown to ultimately approach the risk seen in lifelong abstainers.

Optimizing the Potential for Telehealth in Cardiovascular Care (in the Era of COVID-19): Time Will Tell.

Before the coronavirus disease 2019 (COVID-19) pandemic, use of telehealth services had been limited in cardiovascular care. Potential benefits of telehealth include improved access to care, more efficient care management, reduced costs, the ability to assess patients within their homes while involving key caretakers in medical decisions, maintaining social distance, and increased patient satisfaction. Challenges include changes in payment models, issues with data security and privacy, potential depersonalization of the patient-clinician relationship, limitations in the use of digital health technologies, and the potential impact on disparities, including socioeconomic, gender, and age-related issues and access to technology and broadband. Implementation and expansion of telehealth from a policy and reimbursement practice standpoint are filled with difficult decisions, yet addressing these are critical to the future of health care.

Natural Approaches in Diabetes Management: A Review of Diet, Exercise, and Natural Products.

Diabetes mellitus (DM) is a highly prevalent condition that causes significant morbidity and mortality in the United States and worldwide. Conventional therapies include lifestyle modification, oral pharmacological agents, and subcutaneous insulin. Emerging data suggest that natural approaches to the treatment of DM may help supplement current therapies for further glycemic control. Herein, we review the evidence of several natural modalities for DM treatment. We describe the pathophysiology of diabetes and its complications, provide an overview of current pharmacologic treatments, and finally, discuss natural approaches to diabetes management. Specifically, we will describe on the utility of diet, physical activity, and common natural products in the treatment of DM and focus on recent, high-quality studies. Adverse effects and potential interactions of each therapy will be highlighted where applicable.

Biomarkers to Predict Cardiovascular Death.

This article reviews biomarkers that have been shown to identify subjects at increased risk for cardiovascular death within the general population, in those with established coronary artery disease, and in those with heart failure. Use of biomarkers for risk stratification for sudden cardiac death continues to evolve. It seems that a multimarker strategy for risk stratification using simple measures of circulating proteins and usual clinical risk factors, particularly in patients with known coronary artery disease, can be used to identify patients at near-term risk of death. Whether similar strategies in the general population will prove to be cost-effective needs to be investigated.

Cardiovascular disease risk reduction in diabetes through conventional and natural approaches.

Type 2 diabetes mellitus (DM) is a significant cause of premature complications and mortality in patients with cardiovascular disease (CVD). In addition to lifestyle modifications, conventional treatment of DM consists of oral hypoglycemic agents, insulin sensitizers, and subcutaneous insulin. In diabetic individuals with or at risk for CVD, aspirin and statin therapy reduce CVD morbidity and mortality. Several natural or herbal supplements have shown potential benefit in patients with CVD and DM. We provide an overview of the current guidelines for treatment of DM and CVD. We then review the literature to describe the efficacy of natural approaches to CVD risk reduction in diabetic patients, with a focus on physical activity, dietary modification, and natural/herbal supplements. Activity and diet improve cardiovascular outcomes in patients with CVD and DM. Natural and herbal supplements have potential for benefit but require further research to determine their efficacy and safety.

Changes in truncal obesity and fat distribution predict arterial health.

BACKGROUND: Truncal obesity is associated with metabolic syndrome and cardiovascular risk. Although vascular health is influenced by weight, it is not known whether changes in fat distribution modulate arterial function. OBJECTIVE: We assessed how changes in truncal (android) fat at 1 year affect arterial stiffness and endothelial function. METHODS: We recruited 711 healthy volunteers (235 males, age 48 ± 11 years) into the Emory Predictive Health Study; 498 returned at 1 year. Measurements included anthropometric and chemistry panels, fat mass using dual-energy X-ray absorptiometry, arterial stiffness indices (pulse wave velocity [PWV], augmentation index [AIx], and subendocardial viability ratio [SEVR]; Sphygmocor), flow-mediated dilation (FMD), and reactive hyperemia index (Endo-PAT). RESULTS: At baseline, measures of body mass correlated with PWV, AIx, SEVR, and FMD. In a multivariable analysis including body mass index (BMI) and traditional risk factors, BMI remained an independent predictor of PWV, AIx, SEVR, and FMD. In a model including BMI and measures of fat distribution, android fat remained an independent predictor of PWV (ß = 0.31, P = .004), AIx (ß = 0.24, P = .008), and SEVR (ß = -0.41, P < .001). The 1-year change in android fat correlated negatively with change in SEVR (ß = -0.13, P = .005) and FMD (ß = -0.13, P = .006) after adjustment for change in gynoid fat. CONCLUSION: In addition to BMI, android fat is a determinant of arterial stiffness, independent of traditional risk factors. Changes in android fat over time are associated with simultaneous changes in vascular function, indicating fat distribution's effect on vascular health.

Pathway-Specific Aggregate Biomarker Risk Score Is Associated With Burden of Coronary Artery Disease and Predicts Near-Term Risk of Myocardial Infarction and Death.

BACKGROUND: Inflammation, coagulation, and cell stress contribute to atherosclerosis and its adverse events. A biomarker risk score (BRS) based on the circulating levels of biomarkers C-reactive protein, fibrin degradation products, and heat shock protein-70 representing these 3 pathways was a strong predictor of future outcomes. We investigated whether soluble urokinase plasminogen activator receptor (suPAR), a marker of immune activation, is predictive of outcomes independent of the aforementioned markers and whether its addition to a 3-BRS improves risk reclassification. METHODS AND RESULTS: C-reactive protein, fibrin degradation product, heat shock protein-70, and suPAR were measured in 3278 patients undergoing coronary angiography. The BRS was calculated by counting the number of biomarkers above a cutoff determined using the Youden's index. Survival analyses were performed using models adjusted for traditional risk factors. A high suPAR level ≥3.5 ng/mL was associated with all-cause death and myocardial infarction (hazard ratio, 1.83; 95% confidence interval, 1.43-2.35) after adjustment for risk factors, C-reactive protein, fibrin degradation product, and heat shock protein-70. Addition of suPAR to the 3-BRS significantly improved the C statistic, integrated discrimination improvement, and net reclassification index for the primary outcome. A BRS of 1, 2, 3, or 4 was associated with a 1.81-, 2.59-, 6.17-, and 8.80-fold increase, respectively, in the risk of death and myocardial infarction. The 4-BRS was also associated with severity of coronary artery disease and composite end points. CONCLUSIONS: SuPAR is independently predictive of adverse outcomes, and its addition to a 3-BRS comprising C-reactive protein, fibrin degradation product, and heat shock protein-70 improved risk reclassification. The clinical utility of using a 4-BRS for risk prediction and management of patients with coronary artery disease warrants further study.

Physical activity in the prevention of coronary heart disease: implications for the clinician.

Cardiovascular disease (CVD) continues to be a leading cause of death worldwide. Because regular physical activity (PA) independently decreases the risk of coronary heart disease (CHD) while also having a positive, dose-related impact on other cardiovascular (CV) risk factors, it has increasingly become a focus of CHD prevention. Current guidelines recommend 30 min of moderate-intensity PA 5 days a week, but exercise regimens remain underused. PA adherence can be fostered with a multilevel approach that involves active individual participation, physician counselling and health coaching, community involvement, and policy change, with incorporation of cardiac rehabilitation for patients requiring secondary prevention. Viewing exercise quantity as a vital sign, prescribing PA like a medication, and using technology, such as smartphone applications, encourage a global shift in focus from CVD treatment to prevention. Community-wide, home-based and internet-based prevention initiatives may also offer a developing pool of resources that can be tapped into to promote education and PA compliance. This review summarises the underlying rationale, current guidelines for and recommendations to cultivate a comprehensive focus in the endorsement of PA in the primary and secondary prevention of CHD.

Comprehensive Cardiovascular Risk Reduction and Cardiac Rehabilitation in Diabetes and the Metabolic Syndrome.

The epidemic of obesity has contributed to a growing burden of metabolic syndrome (MetS) and diabetes mellitus (DM) worldwide. MetS is defined as central obesity along with associated factors such as hypertriglyceridemia, low high-density lipoprotein cholesterol, hyperglycemia, and hypertension. MetS and DM are associated with significant cardiovascular morbidity and mortality. Healthy behavioural modification is the cornerstone for reducing the atherosclerotic cardiovascular disease burden in this population. Comprehensive, multidisciplinary cardiac rehabilitation (CR) programs reduce mortality and hospitalizations in patients with MetS and DM. Despite this benefit, patients with MetS and DM are less likely to attend and complete CR because of numerous barriers. Implementation of innovative CR delivery models might improve utilization of CR and cardiovascular outcomes in this high-risk population.

Novel biomarkers for cardiovascular risk assessment: current status and future directions.

Cardiovascular disease (CVD) is the leading cause of mortality in the modern world. Traditional risk algorithms may miss up to 20% of CVD events. Therefore, there is a need for new cardiac biomarkers. Many fields of research are dedicated to improving cardiac risk prediction, including genomics, transcriptomics and proteomics. To date, even the most promising biomarkers have only demonstrated modest associations and predictive ability. Few have undergone randomized control trials. A number of biomarkers are targets to new therapies aimed to reduce cardiovascular risk. Currently, some of the most promising risk prediction has been demonstrated with panels of multiple biomarkers. This article reviews the current state and future of proteomic biomarkers and aggregate biomarker panels.