Coronary Heart Disease Events Research Articles

Treatment patterns and adherence to lipid-lowering drugs during eight-year follow-up after a coronary heart disease event

Background and aimsProper prescription and high adherence to intensive lipid lowering drugs (LLD) in patients with coronary heart disease (CHD) is crucial and strongly recommended. The aim of this study is to investigate long-term treatment patterns and adherence to LLD following hospitalization for a CHD event. MethodsPatients admitted to two Norwegian hospitals with a CHD event from 2011-2014 (N=1094) attended clinical examination and completed a questionnaire, median 16 months later. Clinical data were linked to pharmacy dispensing data from 2010-2020. The proportions using high-intensity statin therapy (atorvastatin 40/80 mg or rosuvastatin 20/40 mg) and non-statin LLD after the CHD event were assessed. Adherence was evaluated by proportion of days covered (PDC) and gaps in treatment. ResultsMedian age at hospitalization was 63 (IQR 12) years, 21% were female. Altogether, 1054 patients (96%) were discharged with a statin prescription, while treatment was dispensed in 85% within the following 90 days. During median 8 (SD 2.5) years follow-up, the proportion using high-intensity statin therapy ranged 62-68%, whereas the use of ezetimibe increased from 4-26 %. PDC <0.8 was found in 22% of statin users and 26% of ezetimibe users. The proportions with a treatment gap exceeding 180 days were 22% for statins and 28% for ezetimibe. Smoking at hospitalization and negative affectivity were significantly associated with reduced statin adherence, regardless of adherence measure. ConclusionsIn this long-term follow-up of patients with CHD, less than 70% used high-intensity statin therapy with only small changes over time, and only 25% used additional treatment with ezetimibe. We identified factors associated with reduced statin adherence that may be target for interventions.

Causal association of TSH with ischemic heart diseases and heart failure: A 2-sample Mendelian randomization study.

Thyroid dysfunction is associated with the risk of cardiovascular disease; however, whether plasma thyroid-stimulating hormone (TSH) levels in subjects with euthyroidism affect the risk of cardiovascular disease remains unclear. This study aimed to investigate the causal association between plasma TSH levels and cardiovascular diseases, particularly ischemic heart disease and heart failure (HF). Summary statistics from the Integrative Epidemiology Unit Open genome-wide association studies Project and FinnGen consortium were used to investigate the causal relationship between plasma TSH levels and the risk of cardiovascular diseases. Two-sample Mendelian randomization analysis using inverse-variance weighting as the primary method was performed. The MR Pleiotropy RESidual Sum and Outlier and leave-one-out methods were used to ensure the robustness of our findings. Genetically determined plasma TSH levels were associated with major coronary heart disease events (OR 1.0557, 95% CI 1.0141-1.0991), all-cause HF (OR 0.9587, 95% CI 0.9231-0.9956), and HF + non-ischemic cardiomyopathy (OR 0.9318, 95% CI 0.8786-0.9882). After the Bonferroni correction, the causation described above disappeared. In the secondary analysis, genetically determined higher TSH levels were associated with a higher risk for unstable angina pectoris (OR 1.0913, 95% CI 1.0350-1.1507), but were associated with a lower risk for HF + overweight (OR 0.9265, 95% CI 0.8821-0.9731). These results were further validated using sensitivity analysis. Our findings show that increased plasma TSH levels in patients with euthyroidism may increase the risk of unstable angina pectoris but reduce the risk of HF in overweight patients. This evidence indicates that plasma TSH levels may need to be carefully controlled in specific patients.

Subclinical vascular composites predict clinical cardiovascular disease, stroke, and dementia: The Multi-Ethnic Study of Atherosclerosis (MESA)

Background and aimsSubclinical cardiovascular disease (CVD) measures may reflect biological pathways that contribute to increased risk for coronary heart disease (CHD) events, stroke, and dementia beyond conventional risk scores. MethodsThe Multi-Ethnic Study of Atherosclerosis (MESA) followed 6814 participants (45–84 years of age) from baseline in 2000–2002 to 2018 over 6 clinical examinations and annual follow-up interviews. MESA baseline subclinical CVD procedures included: seated and supineblood pressure, coronary calcium scan, radial artery tonometry, and carotid ultrasound. Baseline subclinical CVD measures were transformed into z-scores before factor analysis to derive composite factor scores. Time to clinical event for all-cause CVD, CHD, stroke and ICD code-based dementia events were modeled using Cox proportional hazards models reported as area under the curve (AUC) with 95% Confidence Intervals (95%CI) at 10 and 15 years of follow-up. All models included all factor scores together, and adjustment for conventional risk scores for global CVD, stroke, and dementia. ResultsAfter factor selection, 24 subclinical measures aggregated into four distinct factors representing: blood pressure, atherosclerosis, arteriosclerosis, and cardiac factors. Each factor significantly predicted time to CVD events and dementia at 10 and 15 years independent of each other and conventional risk scores. Subclinical vascular composites of atherosclerosis and arteriosclerosis best predicted time to clinical events of CVD, CHD, stroke, and dementia. These results were consistent across sex and racial and ethnic groups. ConclusionsSubclinical vascular composites of atherosclerosis and arteriosclerosis may be useful biomarkers to inform the vascular pathways contributing to events of CVD, CHD, stroke, and dementia.

Health and Economic Value of Eliminating Socioeconomic Disparities in US Youth Physical Activity

There are considerable socioeconomic status (SES) disparities in youth physical activity (PA) levels. For example, studies show that lower-SES youth are less active, have lower participation in organized sports and physical education classes, and have more limited access to PA equipment. To determine the potential public health and economic effects of eliminating disparities in PA levels among US youth SES groups. An agent-based model representing all 6- to 17-year-old children in the US was used to simulate the epidemiological, clinical, and economic effects of disparities in PA levels among different SES groups and the effect of reducing these disparities. Anthropometric measures (eg, body mass index) and the presence and severity of risk factors associated with weight (stroke, coronary heart disease, type 2 diabetes, or cancer), as well as direct and indirect cost savings. This model, representing all 50 million US children and adolescents 6 to 17 years old, found that if the US eliminates the disparity in youth PA levels across SES groups, absolute overweight and obesity prevalence would decrease by 0.826% (95% CI, 0.821%-0.832%), resulting in approximately 383 000 (95% CI, 368 000-399 000) fewer cases of overweight and obesity and 101 000 (95% CI, 98 000-105 000) fewer cases of weight-related diseases (stroke and coronary heart disease events, type 2 diabetes, or cancer). This would result in more than $15.60 (95% CI, $15.01-$16.10) billion in cost savings over the youth cohort's lifetime. There are meaningful benefits even when reducing the disparity by just 25%, which would result in $1.85 (95% CI, $1.70-$2.00) billion in direct medical costs averted and $2.48 (95% CI, $2.04-$2.92) billion in productivity losses averted. For every 1% in disparity reduction, total productivity losses would decrease by about $83.8 million, and total direct medical costs would decrease by about $68.7 million. This study quantified the potential savings from eliminating or reducing PA disparities, which can help policymakers, health care systems, schools, funders, sports organizations, and other businesses better prioritize investments toward addressing these disparities.

The Extents of Coronary Heart Disease and the Severity of Newly Developed Dry Eye Disease: A Nationwide Cohort Study.

This study aimed to evaluate the potential association between coronary heart disease (CHD) severity and the subsequent dry eye disease (DED) with a different severity through the use of the National Health Insurance Research Database (NHIRD) of Taiwan. A retrospective cohort study was conducted. The CHD population was further divided into a severe CHD that had received coronary artery bypass graft (CABG) surgery group and a mild CHD that had received medicine group, then matched with a 1:2 ratio, and 29,852 and 14,926 CHD patients were put into the severe CHD and mild CHD groups, respectively. The primary outcomes were the development of DED and severe DED after CHD diagnosis. The Cox proportional hazards regression was used to produce the adjusted hazard ratio (aHR) and 95% confidence interval (CI) of DED and severe DED between groups. There were 3440 and 1276 DED cases in the mild CHD and severe CHD groups, respectively. And another 37 and 48 severe CHD events were observed in the mild and severe CHD groups, respectively. The incidence of severe DED in the severe CHD group was significantly higher compared to the mild CHD group (aHR: 5.454, 95% CI: 1.551-7.180, p = 0.0001). The cumulative probabilities of DED and severe DED were significantly higher in the severe CHD group than the mild CHD group (both p < 0.0001). In the subgroup analysis, the correlation between severe CHD and DED was higher in the patients aged older than 70 years (p < 0.0001). In conclusion, severe CHD is associated with a higher incidence of severe DED with a higher cumulative incidence.

Gene expression profiling in elderly patients with familial hypercholesterolemia with and without coronary heart disease

Background and aimsElderly familial hypercholesterolemia (FH) patients are at high risk of coronary heart disease (CHD) due to high cholesterol burden and late onset of effective cholesterol-lowering therapies. A subset of these individuals remains free from any CHD event, indicating the potential presence of protective factors. Identifying possible cardioprotective gene expression profiles could contribute to our understanding of CHD prevention and future preventive treatment. Therefore, this study aimed to investigate gene expression profiles in elderly event-free FH patients. MethodsExpression of 773 genes was analysed using Nanostring Metabolic Pathways Panel, in peripheral blood mononuclear cells (PBMCs) from FH patients ≥65 years without CHD (FH event-free, n = 44) and with CHD (FH CHD, n = 39), and from healthy controls ≥70 years (n = 39). ResultsNone of the genes were differentially expressed between FH patients with and without CHD after adjusting for multiple testing. However, at nominal p < 0.05, we found 36 (5%) differentially expressed genes (DEGs) between the two FH groups, mainly related to lipid metabolism (e.g. higher expression of ABCA1 and ABCG1 in FH event-free) and immune responses (e.g. lower expression of STAT1 and STAT3 in FH event-free). When comparing FH patients to controls, the event-free group had fewer DEGs than the CHD group; 147 (19%) and 219 (8%) DEGs, respectively. ConclusionsElderly event-free FH patients displayed a different PBMC gene expression profile compared to FH patients with CHD. Differences in gene expression compared to healthy controls were more pronounced in the CHD group, indicating a less atherogenic gene expression profile in event-free individuals. Overall, identification of cardioprotective factors could lead to future therapeutic targets.

Polygenic risk and incident coronary heart disease in a large multiethnic cohort

ObjectiveMany studies support the notion that polygenic risk scores (PRS) improve risk prediction for coronary heart disease (CHD) beyond conventional risk factors. However, PRS are not yet considered risk-enhancing factor in guidelines. Our objective was to determine the predictive performance of a commercially available PRS (CARDIO inCode-Score®) compared with the Pooled Cohorts Equations (PCE) in a contemporary, multi-ethnic cohort. MethodsParticipants (n = 63,070; 67 % female; 18 % non-European) without prior CHD were followed from 2007 through 12/31/2022. The association between the PRS and incident CHD was assessed using Cox regression adjusting for genetic ancestry and risk factors. Event rates were estimated by categories of PCE and by low/intermediate/high genetic risk within PCE categories; risk discrimination and net reclassification improvement (NRI) were also assessed. ResultsThere were 3,289 incident CHD events during 14 years of follow-up. Adjusted hazard ratio (aHR) for incident CHD per 1 SD increase in PRS was 1.18 (95 % CI:1.14–1.22), and the aHR for the upper vs lower quintile of the PRS was 1.66 (95 % CI:1.49–1.86). The association was consistent in both sexes, in European participants compared with all minority groups combined and was strongest in the first 5 years of follow-up. The increase in the C-statistic was 0.004 (0.747 vs. 0.751; p < 0.0001); the NRI was 2.4 (0.9–3.8) for the entire cohort and 9.7 (7.5–12.0) for intermediate PCE risk individuals. After incorporating high genetic risk, a further 10 percent of participants at borderline/intermediate PCE risk would be candidates for statin therapy. ConclusionInclusion of polygenic risk improved identification of primary prevention individuals who may benefit from more intensive risk factor modification.

Impact of coronary artery calcium on mortality and cardiovascular events in metabolic syndrome and diabetes among younger adults.

Whether coronary artery calcium (CAC) testing in younger individuals with metabolic syndrome (MetS) and diabetes mellitus (DM) helps predict cardiovascular disease (CVD) and death independent of traditional risk factors (RFs) remains less clear. We pooled data obtained from 5174 individuals aged 38-55 years from the CARDIA (Coronary Artery Risk Development in Young Adults; n = 3047, year 20) and MESA (Multi-Ethnic Study of Atherosclerosis; n = 2127, Visit 1) studies who completed computed tomography of CAC. The mean age (SD) of participants (44.7% men) was 47.3 (4.2) years. Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HRs) of CVD, coronary heart disease (CHD), and all-cause death. There were 1085 participants (21.0%) with prevalent CAC at baseline. A total of 461 (8.9%) had DM, 1025 (19.8%) had MetS without DM, and 3688 (71.3%) had neither condition. Over a median follow-up of 14.2 years, 256 (5.0%) participants died, and 304 (5.9%) CVD and 188 (3.6%) CHD events occurred. The CAC score was independently associated with incident CVD in those with DM (HR: 95% CI; 1.22: 1.08-1.38), MetS (1.18: 1.08-1.31), and neither condition (1.36: 1.26-1.46). The corresponding HRs for CAC ≥ 100 were 2.70 (1.25-5.83), 3.29 (1.87-5.79), and 6.30 (4.02-9.86), respectively. Similar associations for CHD and death were found. The impact of CAC ≥ 100 on CVD and CHD was lower in the presence of DM (P interaction < 0.05). The association of CAC with all outcomes in individuals with DM remained significant after adjusting with haemoglobin A1c levels. Coronary artery calcium score is independently associated with cardiovascular events and death over nearly 15 years after screening at ages 38-55 years, with a less pronounced impact on CVD and CHD events in the presence of DM.

Aspirin for the Primary Prevention of Cardiovascular Diseases in Patients with Chronic Kidney Disease: An Updated Meta-analysis.

Chronic kidney disease is associated with increased risk of cardiovascular diseases (CVD). This meta-analysis aims to evaluate the efficacy and safety of aspirin administered for primary prevention of CVD in patients with chronic kidney disease. PubMed, Scopus, Web of Science, CENTRAL and Clinicaltrials.gov were systematically searched from inception to 22 June 2023. Randomized controlled trials (RCTs) and cohort studies evaluating aspirin as primary prevention of CVD in chronic kidney disease were included. Meta-analysis was conducted using random-effects models. Overall, 11 studies (6 RCTs and 5 cohort studies) with 24,352 patients were included. The meta-analysis of RCTs indicated that aspirin was associated with lower risk of major adverse cardiovascular events [hazard ratio (HR): 0.79; 95% confidence intervals (CI): 0.64-0.97] and higher risk of major bleeding [risk ratio (RR): 1.35; 95% CI 1.15-1.58]. Incorporating observational evidence led to statistically non-significant findings in terms of risk of both cardiovascular events (pooled HR: 0.97; 95% CI 0.75-1.25; low certainty) and major bleeding (pooled RR: 1.21; 95% CI 0.99-1.48; moderate certainty). No statistically significant differences between aspirin and placebo were observed in the outcomes of mortality, coronary heart disease, stroke and renal events. RCT evidence points to a possible benefit in cardiovascular event reduction from aspirin administration, at the cost of increased major bleeding risk. This finding was not confirmed when the existing observational evidence was incorporated. Further research should determine the most appropriate subpopulation of chronic kidney disease patients that would benefit the most from prophylactic aspirin therapy. The study protocol has been prospectively registered and is publicly available from: https://doi.org/10.17504/protocols.io.261ged63jv47/v1 .

The association of lipoprotein(a) and coronary artery calcium in asymptomatic patients: a systematic review and meta-analysis.

Lipoprotein(a) [Lp(a)] is an atherogenic lipid particle associated with increased risk for coronary heart disease (CHD) events. Coronary artery calcium (CAC) score is a tool to diagnose subclinical atherosclerosis and guide clinical decision-making for primary prevention of CHD. Studies show conflicting results concerning the relationship between Lp(a) and CAC in asymptomatic populations. We conducted a meta-analysis to evaluate the association of Lp(a) and CAC in asymptomatic patients. We systematically searched PubMed, Embase, and Cochrane until April 2023 for studies evaluating the association between Lp(a) and CAC in asymptomatic patients. We evaluated CAC > 0 Agatston units, and CAC ≥ 100. Lp(a) was analysed as a continuous or dichotomous variable. We assessed the association between Lp(a) and CAC with pooled odds ratios (OR) adopting a random-effects model. A total of 23 105 patients from 18 studies were included in the meta-analysis with a mean age of 55.9 years, 46.4% female. Elevated Lp(a) increased the odds of CAC > 0 [OR 1.31; 95% confidence intervals (CI) 1.05-1.64; P = 0.02], CAC ≥100 (OR 1.29; 95% CI 1.01-1.65; P = 0.04; ), and CAC progression (OR 1.43; 95% CI 1.20-1.70; P < 0.01; ). For each increment of 1 mg/dL in Lp(a) there was a 1% in the odds of CAC > 0 (OR 1.01; 95% CI 1.01-1.01; P < 0.01). Our findings of this meta-analysis suggest that Lp(a) is positively associated with a higher likelihood of CAC. Higher Lp(a) levels increased the odds of CAC >0. These data support the concept that Lp(a) is atherogenic, although with high heterogeneity and a low level of certainty. CRD42023422034. Asymptomatic patients with elevated Lp(a) had 31% higher chances of having any coronary calcification (CAC > 0) and 29% higher chances of having more advanced calcification (CAC > 100). It increased the chances of having progression of coronary calcification over time by 43%. For each 1 mg/dL of Lp(a) there was an increment of 1% chance of having coronary calcification.

Aspirin and Cardiovascular Risk in Individuals With Elevated Lipoprotein(a): The Multi-Ethnic Study of Atherosclerosis.

Effective therapies for reducing cardiovascular disease (CVD) risk in people with elevated lipoprotein(a) are lacking, especially for primary prevention. Because of the potential association of lipoprotein(a) with thrombosis, we evaluated the relationship between aspirin use and CVD events in people with elevated lipoprotein(a). We used data from the MESA (Multi-Ethnic Study of Atherosclerosis), a prospective cohort study of individuals free of baseline cardiovascular disease. Due to potential confounding by indication, we matched aspirin users to nonusers using a propensity score based on CVD risk factors. We then evaluated the association between aspirin use and coronary heart disease (CHD) events (CHD death, nonfatal myocardial infarction) stratified by baseline lipoprotein(a) level (threshold of 50 mg/dL) using Cox proportional hazards models with adjustment for CVD risk factors. After propensity matching, the study cohort included 2183 participants, including 1234 (57%) with baseline aspirin use and 423 (19%) with lipoprotein(a) >50 mg/dL. Participants with lipoprotein(a) >50 mg/dL had a higher burden of CVD risk factors, more frequent aspirin use (61.7% versus 55.3%, P=0.02), and higher rate of incident CHD events (13.7% versus 8.9%, P<0.01). Aspirin was associated with a significant reduction in CHD events among those with elevated lipoprotein(a) (hazard ratio, 0.54 [95% CI, 0.32-0.94]; P=0.03). Those with lipoprotein(a) >50 mg/dL and aspirin use had similar CHD risk as those with lipoprotein(a) ≤50 mg/dL regardless of aspirin use. Aspirin use was associated with a significantly lower risk for CHD events in participants with lipoprotein(a) >50 mg/dL without baseline CVD. The results of this observational propensity-matched study require confirmation in studies with randomization of aspirin use.

Association of GAL-8 promoter methylation levels with coronary plaque inflammation

Background and aimsCoronary heart disease (CHD) is a condition that carries a high risk of mortality and is associated with aging. CHD is characterized by the chronic inflammatory response of the coronary intima. Recent studies have shown that the methylation level of blood mononuclear cell DNA is closely associated with adverse events in CHD, but the roles and mechanisms of DNA methylation in CHD remain elusive. Methods and resultsIn this study, the DNA methylation status within the epigenome of human coronary tissue in the sudden coronary death (SCD) group and control (CON) group of coronary heart disease was analyzed using the Illumina® Infinium Methylation EPIC BeadChip (850 K chip), resulting in the identification of a total of 2553 differentially methylated genes (DMGs). The differentially methylated genes were then subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and significant differential DNA methylation was found. Among the differentially hypomethylated genes were GAL-8, LTF, and RFPL3, while the highly methylated genes were TMEM9B, ANK3, and C6orF48. These genes were mainly enriched in 10 significantly enriched pathways, such as cell adhesion junctions, among which the differentially methylated gene GAL-8 was involved in inflammatory pathway signaling. For functional analysis of GAL-8, we first examined the differences in GAL-8 promoter methylation levels among different subgroups of human coronary tissue in the CON, CHD, and SCD groups using pyrophosphate sequencing. The results revealed reduced GAL-8 promoter methylation levels in the SCD group, while the difference between the CHD and CON groups was not statistically significant (P > 0.05). The reduced GAL-8 promoter methylation level was associated with upregulated GAL-8 expression, which led to increased expression of the inflammatory markers TNF-α, IL-1β, MCP-1, MIP-2, MMP-2, and MMP-9. This enhanced inflammatory response contributed to the accumulation of foam cells, thickening of the intima of human coronary arteries, and increased luminal stenosis, which promoted the occurrence of sudden coronary death. Next, we found that GAL-8 promoter methylation levels in PBMC were consistent with human coronary tissue. The unstable angina group (UAP) had significantly lower GAL-8 promoter methylation levels than stable angina (SAP) and healthy controls (CON) (P < 0.05), and there was a significant correlation between reduced GAL-8 promoter methylation levels and risk factors for coronary heart disease. These findings highlight the association between decreased GAL-8 promoter methylation and the presence of coronary heart disease risk factors. ROC curve analysis suggests that methylation of the GAL 8 promoter region is an independent risk factor for CHD. In conclusion, our study confirmed differential expression of GAL-8, LTF, MUC4D, TMEM9B, MYOM2, and ANK3 genes due to DNA methylation in the SCD group. We also established the consistency of GAL-8 promoter methylation alterations between human coronary tissue and patient peripheral blood monocytes. The decreased methylation level of the GAL-8 promoter may be related to the increased expression of GAL-8 and the coronary risk factors. ConclusionsAccordingly, we hypothesized that reduced levels of GAL-8 promoter methylation may be an independent risk factor for adverse events in coronary heart disease.

C-reactive protein modifies lipoprotein(a)-related risk for coronary heart disease: the BiomarCaRE project.

Recent investigations have suggested an interdependence of lipoprotein(a) [Lp(a)]-related risk for cardiovascular disease with background inflammatory burden. The aim the present analysis was to investigate whether high-sensitive C-reactive protein (hsCRP) modulates the association between Lp(a) and coronary heart disease (CHD) in the general population. Data from 71 678 participants from 8 European prospective population-based cohort studies were used (65 661 without/6017 with established CHD at baseline; median follow-up 9.8/13.8 years, respectively). Fine and Gray competing risk-adjusted models were calculated according to accompanying hsCRP concentration (<2 and ≥2 mg/L). Among CHD-free individuals, increased Lp(a) levels were associated with incident CHD irrespective of hsCRP concentration: fully adjusted sub-distribution hazard ratios [sHRs (95% confidence interval)] for the highest vs. lowest fifth of Lp(a) distribution were 1.45 (1.23-1.72) and 1.48 (1.23-1.78) for a hsCRP group of <2 and ≥2 mg/L, respectively, with no interaction found between these two biomarkers on CHD risk (Pinteraction = 0.82). In those with established CHD, similar associations were seen only among individuals with hsCRP ≥ 2 mg/L [1.34 (1.03-1.76)], whereas among participants with a hsCRP concentration <2 mg/L, there was no clear association between Lp(a) and future CHD events [1.29 (0.98-1.71)] (highest vs. lowest fifth, fully adjusted models; Pinteraction = 0.024). While among CHD-free individuals Lp(a) was significantly associated with incident CHD regardless of hsCRP, in participants with CHD at baseline, Lp(a) was related to recurrent CHD events only in those with residual inflammatory risk. These findings might guide adequate selection of high-risk patients for forthcoming Lp(a)-targeting compounds.

Association of 20-Year Longitudinal Depressive Symptoms With Left Ventricular Geometry Outcomes in the Coronary Artery Risk Development in Young Adults Study: A Role for Androgens?

Depression is a risk factor for coronary heart disease and left ventricular hypertrophy (LVH) is a potent predictor of coronary heart disease events. Whether depression is associated with LVH has received limited investigation. This study assessed cross-sectional and 20-year longitudinal associations of depressive symptoms with LVH outcomes after accounting for important known confounders. From 5115 participants enrolled in 1985-1986 in the Coronary Artery Risk Development in Young Adults Study, 2533 had serial measures of depressive symptoms and subsequent echocardiography to measure normal LV geometry, concentric remodeling, and LVH. The primary exposure variable was trajectories of the Center for Epidemiologic Studies Depression (CES-D) scale score from 1990-1991 to 2010-2011. Multivariable polytomous logistic regression was used to assess associations of trajectories with a composite LV geometry outcome created using echocardiogram data measured in 2010-2011 and 2015-2016. Sex-specific conflicting results led to exploratory models that examined potential importance of testosterone and sex hormone-binding globulin. Overall CES-D and Somatic subscale trajectories had significant associations with LVH for female participants only. Odds ratios for the subthreshold (mean CES-D ≈ 14) and stable (mean CES-D ≈ 19) groups were 1.49 (95% confidence interval = 1.05-2.13) and 1.88 (95% confidence interval = 1.16-3.04), respectively. For female participants, sex hormone-binding globulin was inversely associated with LVH, and for male participants, bioavailable testosterone was positively associated with concentric geometry. Findings from cross-sectional and longitudinal regression models for female participants, but not male ones, and particularly for Somatic subscale trajectories suggested a plausible link among depression, androgens, and LVH. The role of androgens to the depression-LVH relation requires additional investigation in future studies.

High alpha-2-macroglobulin levels are a risk factor for cardiovascular disease events: A Moli-sani cohort study

Backgroundα2-macroglobulin (α2M) is a versatile endopeptidase inhibitor that plays a role in cell growth, inflammation and coagulation. α2M is an inhibitor of key coagulation enzyme thrombin. Hypercoagulability due to an excess of thrombin production can cause thrombotic events. Therefore, we investigated the association of α2M levels and cardiovascular events in a subset of the general Italian population. MethodsWe determined α2M levels in the baseline samples of a prospective cohort (n = 19,688; age: 55 ± 12 years; 47.8 % men) of the Moli-sani study and investigated the association with the cardiovascular events (n = 432, 2.2 %) in the median follow-up period of 4.3 years. Hazard ratios (HR) with 95 % confidence intervals (CI) were calculated by multivariable Cox regression and adjusted for a large panel of confounding factors. Resultsα2M levels above the 90th percentile were significantly associated with cardiovascular disease (CVD) events after full adjustment for age, sex, current smoking, BMI, oral contraceptive use, cardiovascular diseases, hypertension, hypercholesterolemia, diabetes and history of cancer (HR: 1.36; CI: 1.06–1.74). Moreover, high α2M was associated with coronary heart disease (CHD; HR: 1.47; CI: 1.12–1.91), but not stroke. Stratification for CVD at baseline showed that high α2M levels are associated with CHD events in subjects without CVD at baseline (HR: 1.40; CI: 1.00–1.95) and subjects with CVD at baseline (HR: 1.58; CI: 1.02–2.44). ConclusionWe show in a prospective cohort that high levels of α2M could be a risk factor for cardiovascular events, especially coronary heart disease events.

Serum Exosomal MicroRNA-186-5p Positively Correlates with Lipid Indexes, Coronary Stenosis Degree, and Major Adverse Cardiovascular Events in Coronary Heart Disease.

Our previous study finds that exosomal microRNA (miR)-186-5p promotes viability and invasion of vascular smooth muscle cells to accelerate atherosclerosis via inactivating phosphoinositide 3 kinase/protein kinase B/mammalian target of rapamycin pathway. Subsequently, this study aimed to identify the linkage of serum exosomal miR-186-5p with clinical features and major adverse cardiovascular events (MACE) in coronary heart disease (CHD) patients. Serum exosomal miR-186-5p was quantified in 175 CHD patients and 50 healthy controls (HCs) via reverse transcription quantitative polymerase chain reaction. Our study revealed that serum exosomal miR-186-5p was enhanced in CHD patients vs. HCs (P < 0.001). In CHD patients, serum exosomal miR-186-5p was positively correlated with total cholesterol (P = 0.002) and low-density lipoprotein cholesterol (P = 0.003). Elevated serum exosomal miR-186-5p was linked with increased Gensini score (P = 0.028) and stenosis degree categorized by the Gensini score (P = 0.018). Regarding MACE, the 1-year and 2-year accumulating MACE rate was 6.6% and 15.6%, respectively. Serum exosomal miR-186-5p was elevated in CHD patients with MACE vs. those without (P = 0.042). By Kaplan-Meier curves and log-rank analyses, serum exosomal miR-186-5p > 1.000 (P = 0.404) and > 1.610 (P = 0.328) was not related to accumulating MACE. While serum exosomal miR-186-5p > 3.390 exhibited a correlative trend with increased accumulating MACE, but not achieving statistical significance (P = 0.071). The 1-year and 2-year accumulating MACE rate of patients with serum exosomal miR-186-5p > 3.390 was 11.5% and 21.5%, respectively; while the rate was 3.3% and 11.5% in patients with serum exosomal miR-186-5p ≤ 3.390, accordingly. Conclusively, serum exosomal miR-186-5p positively associates with lipid level, coronary stenosis degree, and the risk of MACE in CHD patients.

Sex differences in risk factors for coronary heart disease events: a prospective cohort study in Iran

We investigated sex-specific associations and their differences between major cardiovascular risk factors and the risk of incident coronary heart disease (CHD) and hard CHD (defined as nonfatal myocardial infarction and CHD death). A total of 7518 (3377 men) participants from the Tehran Lipid and Glucose Study were included. Cox models were used to estimate the hazard ratios (HRs) and women-to-men ratios of HRs for CHD events associated with each risk factor. During 20 years of follow-up (1999–2018), 1068 (631 men) and 345 (238 men) new cases of CHD and hard CHD, respectively, were documented. In total population, the incidence rates per 1000 person-years were 9.5 (9.0–10.1) and 2.9 (2.6–3.2) for CHD and hard CHD, respectively. Hypertension, diabetes, pre-diabetes, and a high waist-to-hip ratio (WHR) were associated with a greater HR of hard CHD in women than men; the women-to-men HRs were 2.85 [1.36–5.98], 1.92 [1.11–3.31], 2.04 [1.09–3.80] and 1.42 [1.10–1.82], respectively. Diabetes was associated with a higher HR of CHD in women than men (ratio of HRs 1.49 (1.10–2.01). In conclusion, we found that hypertension, diabetes, pre-diabetes, and high WHR conferred a greater excess risk of CHD events in women than in men, suggesting that Iranian women may require greater attention for the prevention of CHD events.

Association of trajectory of body shape index with all-cause and cause-specific mortality: 18 years follow-up.

The current study aimed to examine how the trajectory of a body shape index (ABSI) could predict mortality in a prospective cohort of 5587 participants. A Growth Mixture Model (GMM) was employed to identify ABSI and body shape trajectories spanning from 2000 to 2018. Multivariate Cox regression models with hazard ratio (HR) and 95% confidence intervals (CIs) were built to assess the association of death from all-cause and cardiovascular disease (CVD) with ABSI and body shape trajectories. We found that individuals with a low ABSI-marked increase (Class II) and high ABSI-marked increase trajectory (Class III) had a higher risk of all-cause (adjusted HR for Class II, 1.37; 95%CI, 1.04-1.79; adjusted HR for Class III, 1.42; 95%CI, 1.05-1.91) and non- CVD mortality (adjusted HR for Class II, 1.38; 95%CI, 1.00-1.91; adjusted HR for Class III, 1.42; 95%CI, 1.00-2.05) as well as an increased risk of CVD (adjusted HR for Class II, 1.40; 95%CI, 1.14-1.71; adjusted HR for Class III, 1.42; 95%CI, 1.13-1.78) and coronary heart disease (CHD) (adjusted HR for Class II, 1.52; 95%CI, 1.18-1.96; adjusted HR for Class III, 1.47; 95%CI, 1.11-1.95. The trajectories of body shape phenotypes did not show any significant associations with mortality, CVD, or CHD events. ABSI trajectories might be associated with subsequent risk of mortality and CVD events.

Serum lipoprotein(a) and reclassification of coronary heart disease risk; application of prediction in a cross-sectional analysis of an ongoing Iranian cohort

IntroductionRecent studies have introduced elevated lipoprotein(a) (Lp(a)) as a risk factor for coronary heart disease (CHD). This study investigated whether the addition of Lp(a) as a novel biomarker to the Framingham Risk Score (FRS) model improves CHD risk prediction.MethodsThe study included 1101 Iranian subjects (443 non-diabetic and 658 diabetic patients) who were followed for 10 years (2003–2013). Lp(a) levels and CHD events were recorded for each participant.ResultsThe Net Reclassification Index (NRI) after adding Lp(a) to the FRS model was 19.57% and the discrimination slope was improved (0.160 vs. 0.173). The Akaike Information Criterion (AIC), a measure of model complexity, decreased significantly after adding Lp(a) to the FRS model (691.9 vs. 685.4, P value: 0.007).ConclusionsThe study concluded that adding Lp(a) to the FRS model improves CHD risk prediction in an Iranian population without making the model too complex. This could help clinicians to better identify individuals who are at risk of developing CHD and to implement appropriate preventive measures.

Subclinical Vascular Risk Composites Predict Cardiovascular Disease, Stroke, and Dementia: The Multi‐Ethnic Study of Atherosclerosis (MESA)

AbstractBackgroundSubclinical cardiovascular disease (CVD) measures may reflect biological pathways that contribute to increased risk for CVD events and dementia beyond conventional risk scores. Therefore, we examined whether subclinical CVD biomarkers: 1) dissociate into composites representing distinct pathologic pathways that 2) predict future risk of clinical CVD, stroke, and dementia‐related outcomes in a diverse longitudinal cohort.MethodMESA followed 6,814 participants (45‐84 years of age) from baseline in 2000‐2002 to 2018 over 6 clinical examinations and annual follow‐up interviews. Baseline subclinical CVD biomarkers were transformed into z‐scores before factor analysis to derive composite factor scores. Time to clinical CVD events (coronary heart disease (CHD) and stroke) and dementia were modeled using Cox proportional hazards models reported as area under the curve (AUC) with 95% Confidence Intervals (95%CI). Global cognitive decline was measured by change in the Cognitive Abilities Screening Instrument from 2010‐12 to 2019‐2021, modeled by linear mixed models, and reported as beta estimates and standard error (SE). Cognitive status was adjudicated in 2019‐2021 as cognitively normal, mild cognitive impairment (MCI) and dementia from Uniform Data Set v3 tests and informant interview and modeled with multinomial logistic regression reported as odds ratios (OR). All models included all factor scores together and adjustment for conventional risk scores: Framingham risk scores for CVD or stroke or Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) for dementia.ResultSubclinical CVD measures aggregated into four distinct factors representing: blood pressure, arterial stiffness, atherosclerosis, and cardiac remodeling (Table 1). Each factor significantly predicted CVD events and dementia independent of each other and conventional risk scores (Figure). Atherosclerosis best predicted time to clinical events of CHD [AUC(95%CI) = 0.73(0.71‐0.75)], stroke [AUC(95%CI) = 0.75(0.70‐0.78)], and dementia [AUC(95%CI) = 0.74(0.71‐0.77)]. Arterial stiffness was the only the factor significantly associated with both cognitive decline (b = ‐0.95, SE = 0.11, p&lt;0.0001), a higher odds of MCI [OR(95%CI) = 1.10(1.01‐1.21)] and dementia [OR(95%CI) = 1.79(1.37‐2.35)] (Table 2). These results were consistent across sex and racial/ethnic groups.ConclusionSubclinical vascular factor composites of arterial stiffness and atherosclerosis shown to independently predict both CVD events and dementia may be useful biomarkers to inform the vascular pathways contributing to Alzheimer’s disease and related dementia etiologies.