Higher Risk Of Coronary Heart Disease Research Articles

The association of cortisol/testosterone ratio and sleep quality with coronary heart disease: A case-control study in Chinese rural population.

There were limited studies that have probed into the combined effect of the cortisol/testosterone (C/T) ratio as a biomarker of stress and Pittsburgh Sleep Quality Index (PSQI) on coronary heart disease (CHD). This research aimed to explore the association of C/T ratio and PSQI with the risk of CHD in a rural Chinese population, as well as the interaction and combined effect between C/T ratio and PSQI on CHD. A case-control study was performed including 307 individuals without CHD and 307 patients drawn from Henan Rural Cohort. Logistic regression was utilized to survey the independent and joint effects of the C/T ratio and PSQI on CHD. To estimate the interaction impact of the C/T ratio and sleep quality (PSQI) on CHD, a cross-product term was introduced in the generalized linear model. Higher C/T ratio and PSQI index scores are related to increased odds ratio for CHD (Odds ratios (ORs) and 95% confidence interval (CI) were 1.17 (1.07, 1.29), p-trend<0.001; 1.16 (1.09, 1.22), respectively). The odds ratio of C/T ratio for CHD increased with increasing PSQI in women (pinteraction=0.018) and total population (pinteraction=0.033). The combined group of high C/T ratio and high PSQI had the highest risk of CHD (Total: OR=7.53, 95% CI: 4.12-13.76). The risk of CHD was associated with low testosterone levels, high C/T ratios, and high PSQI scores. Additionally, poor sleep quality aggravated the effect of high C/T ratio on coronary heart disease.

Abstract P221: Intake of Ultra-Processed Foods in Relation to Cardiovascular Disease Incidence in US Men and Women With Diabetes Mellitus

Introduction: Recent evidence suggests that intake of ultra-processed foods (UPF) is related to unfavorable cardio-metabolic risk profiles among generally healthy populations. However, evidence on the relationship between UPF intake and cardiovascular disease (CVD) among patients with type 2 diabetes (T2D) is lacking. Hypothesis: We assessed the hypothesis that higher intake of dietary UPF is associated with higher risks of CVD among individuals with T2D. Methods: We prospectively followed 13,272 men and women participating in the Health Professionals Follow-Up Study (HPFS) and Nurses’ Health Study (NHS) with T2D at baseline and during follow-up (HPFS: 1986-2018; NHS: 1980-2014). Diet was repeatedly assessed using validated food frequency questionnaires every 2-4 years. UPF were categorized according to the Nova classification. CVD was defined as fatal and non-fatal coronary heart disease (CHD) (including nonfatal myocardial infarction, coronary artery bypass graft surgery, and coronary angioplasty and stent) and fatal and non-fatal stroke. Associations of UPF consumption with risks of CVD were assessed using Cox regression. Results: During 165,761 person-years of follow-up, 1,826 total CHD and 529 total stroke were identified and confirmed. After adjusting for demographics, lifestyle, medical history, dietary factors, and diabetes medication use, higher total intake of UPF was associated with higher risk of CHD. The multivariable-adjusted HRs (95% CIs) were 1.20 (1.02, 1.43) ( P trend = 0.03) when comparing the highest and lowest quintiles (Q5 vs. Q1) or 1.03 (1.01, 1.04) for each 1 serving/day increment of UPF. No association between UPF intake and risk of stroke was observed (Q5 vs. Q1: 0.92 (0.67, 1.24)). These results were consistent across subgroups in analyses stratified by age, sex, BMI, diet quality, physical activity, smoking, diabetes medication use, or diabetes duration. In addition, compared with participants who had a stable or decreased consumption of UPF (≤0 change in UPF) from pre- to post-diabetes diagnosis, participants who increased consumption of UPF (&gt;0 increment of UPF intake) after diabetes diagnosis had a 15% (1%, 31%) higher risk of CHD. Conclusions: Among participants with T2D, higher dietary UPF consumption was associated with a higher risk of CHD, but not stroke. These results provide further support for the current recommendations to limit UPF consumption for the prevention of CHD among patients with diabetes.

Abstract MP60: Prediabetes and Undiagnosed Diabetes Predisposing Women to Excess Risk of Cardiovascular Disease

Objective: Women with type 2 diabetes (T2DM) have a 25-50% higher risk of cardiovascular disease (CVD) than their men counterparts. The reasons for this sex disparity are incompletely understood. We sought to examine if pre-diabetes (preDM) and undiagnosed T2DM are associated with a greater magnitude of CVD risk in women than in men. Methods: We pooled CVD-free individuals (N=18,745) from the Atherosclerosis Risk in Communities, the Multi-Ethnic Study of Atherosclerosis, and the Jackson Heart Study. CVD outcomes included incident coronary heart disease (CHD) (myocardial infarction, CHD death, or cardiac procedures including percutaneous coronary interventions, bypass surgery, or coronary revascularization), stroke (ischemic or hemorrhagic stroke), and a composite atherosclerotic CVD (ASCVD) (any CHD condition or stroke). Multivariable Cox models examined the outcomes associated with preDM (fasting glucose [FG] 100-125 mg/dL or HbA1c 5.7-6.4%) or undiagnosed T2DM (FG ≥126 mg/dL or HbA1c ≥6.5% and without a DM diagnosis or anti-diabetes medication use) adjusted for age, race/ethnicity, education, BMI, blood pressure, total cholesterols, smoking, anti-hypertensive and lipid-lowering medications, and cohort indicator. An interaction term sex x preDM or undiagnosed DM was added to models to test the sex modifying effect. We consider p-interaction&lt;0.2 as significant. Results: During a median follow-up of 17 years, the adjusted model showed that preDM was significantly associated with a higher risk of CHD (Hazard ratio 1.09, 95%CI 1.04-1.14), stroke (1.08, 1.04-1.13), and ASCVD (1.09, 1.04-1.14) in women, but not in men (1.04, 0.99-1.1 for CHD, 1.03, 0.98-1.08 for stroke, and 1.03, 0.98-1.09 for ASCVD, respectively). Undiagnosed T2DM was significantly associated with the risk of CHD (1.27, 1.16-1.4 in women and 1.17, 1.05-1.3 in men), stroke (1.32, 1.21-1.45 in women and 1.2, 1.09-1.32 in men), and ASCVD (1.27, 1.16-1.4 in women and 1.15, 1.03-1.29 in men) in both sexes but with more pronounced effect in women (P-interactions ≤0.11). In racial-stratified analysis, a higher magnitude of CVD risk associated with preDM or undiagnosed DM was also found in non-Hispanic (NH) white women and NH-black women than in their men counterparts. Conclusions: PreDM and undiagnosed DM predispose women to excess CVD risk, possibly due to women’s higher susceptibility to metabolic dysfunction at a lower glucose level and the prolonged unmanaged time for risk factors relative to men. T2DM screening and risk factor control should be enhanced in both sexes to reduce future CVD risk, particularly in women.

Abstract 41: Comprehensive Plasma Metabolomic Risk Scores to Predict Incident Coronary Heart Disease Events

Introduction: Integrating multiple metabolomics signatures related to coronary heart disease (CHD) into a metabolomic risk score (MRS) may contribute to improving the risk prediction beyond traditional risk factors, although applications of the MRS remain underdetermined, especially in people at usual risk. Hypothesis: We analyzed associations of plasma metabolites with the risk of CHD to develop MRS for predicting risk of incident CHD by incorporating comprehensive metabolic pathways among women at usual risk from the Nurses’ Health Study (NHS). We also tested whether changes in CHD-related plasma metabolites were associated with significant reductions in atherosclerotic cardiovascular disease (ASCVD) risk scores among participants in the POUNDS Lost trial. Methods: Untargeted metabolomics profiling was performed to measure plasma metabolites at baseline in a prospective nested case-control of 762 incident cases of CHD (fatal CHD and nonfatal myocardial infarction) and 762 matched controls identified over 10-14 years of follow-up time in NHS. An MRS of CHD risk was created based on metabolites that were selected through conditional logistic regression with the elastic net procedure. The POUNDS Lost trial included adults with overweight/obesity who consumed weight-loss diets with different macronutrient intakes. We measured untargeted plasma metabolomics signatures at baseline, 6 months, and 2 years to calculate changes in response to the dietary interventions. The primary outcome in the POUNDS Lost trial was the reduction of 10-year ASCVD risk scores calculated by the validated pooled cohort equations. Results: Various plasma metabolites (such as gut-microbiota-related and others in the pathways of ceramides, phospholipids, and polyamine metabolism) were associated with the risk of incident CHD ( P FDR &lt;0.05). We developed MRS for CHD combining 122 metabolites and found that the highest quartile (Q4) was associated with 11.3 times (95% CI: 6.88, 18.6) higher risk of CHD, as compared to the lowest quartile (Q1), even after adjusting for covariates including common CHD risk factors (such as a family history of MI, lifestyle factors, obesity, diabetes, hypertension, and dyslipidemia). Every 1 SD increment of MRS was associated with an adjusted RR of 3.23 (95% CI 2.62, 3.97) for CHD events. In the POUNDS Lost, diet-intervention-induced changes in CHD-related metabolites, particularly those in ceramide pathways, were significantly associated with reductions in the ASCVD risk score at 6 months and 2 years. Conclusions: Comprehensive metabolomic scores were strongly related to the risk of incident CHD among women without prior CHD. Dietary interventions may modify the unfavorable relations between CHD-risk-related metabolites and ASCVD risk. Further studies in other populations are warranted to validate the performance of MRS in predicting ASCVD events.

Abstract 21: Ultra-Processed Food Consumption is Associated With Higher Coronary Heart Disease Risk in United States Women From Two Large Prospective Cohorts

Introduction: Ultra-processed foods (UPF) are associated with cardiovascular disease (CVD) in European populations. Evidence is limited from U.S. populations, for specific UPF subgroups, and in the diet quality context. Hypothesis: We hypothesized that U.S. women with higher UPF intake have higher CVD risk and evaluated this association by UPF subgroup and diet quality. Methods: Women from the Nurses' Health Study (NHS; n=75,639; 30-55y) and NHSII (n=90,770; 25-42y) with complete dietary intake data and without CVD/cancer at baseline were prospectively followed (1984-2014 and 1991-2015). Diet, demographics, lifestyle, and medical history were assessed every 2-4y using validated food frequency questionnaires and follow-up questionnaires. NOVA-classified UPF (% of energy) included ten subgroups: bread and cereals; sauces, spreads, and condiments; sweet snacks and desserts; savory snacks; sugar-sweetened beverages; animal-based products; ready-to-eat/heat dishes; yogurt and dairy desserts; hard liquors, and artificially sweetened beverages. The Alternative Healthy Eating Index (AHEI) measured diet quality. Primary outcomes were non-fatal myocardial infarction, fatal coronary heart disease (CHD), and non-fatal/fatal stroke. Multivariable-adjusted Cox regression estimated the associations of cumulatively-averaged UPF and subgroup intake quintiles with CVD risk. Each cohort was analyzed separately, and data were meta-analyzed (fixed effects models). Results: We identified 7,659 CVD cases (CHD=3,889; stroke=3,855) in NHS during 2,002,986 person-years of follow-up, and 1,588 CVD cases (CHD=807; stroke=786) in NHSII during 2,308,569 person-years. Pooled multivariable-adjusted hazard ratios [HRs (95%CIs)] of CVD, CHD, and stroke for the highest quintile of UPF intake ( vs. lowest) were 1.11 (1.04, 1.19; p-trend =0.002), 1.18 (1.08, 1.30; p-trend &lt;0.001), and 1.05 (0.95, 1.15; p-trend =0.37), respectively. Positive associations remained for participants with higher diet quality (AHEI above the sample median): CVD [HR=1.15 (1.05, 1.25; p-trend =0.009)] and CHD [HR=1.24 (1.09, 1.41; p-trend =0.007)]. Values of I 2 were non-significant. For UPF subgroups, intake for the highest quintile of sugar-sweetened beverages and animal-based products was significantly associated with higher risk of CVD, CHD, and stroke. Significant inverse associations were noted for bread and cereals and yogurt and dairy dessert with CVD, CHD, and stroke, for savory snacks with CHD, and for ready-to-eat/heat dishes with stroke. Conclusion: U.S. women with long-term higher total UPF intake had a higher CHD risk, even with a high-quality diet. Sugary drinks and animal-based products were predominant for CVD risk. Some UPF subgroups may contain beneficial components, warranting more nuanced food subgroup analyses. Replication is needed in racially/ethnically-diverse populations.

Abstract P667: Association of Number of Calcified Coronary Arteries and Cardiovascular Outcomes Stratified by Calcification Volume: The Multi-Ethnic Study of Atherosclerosis (MESA)

Background: Coronary artery calcium (CAC) is a risk factor for atherosclerotic cardiovascular disease (ASCVD). Data suggests number of vessels with CAC independently improves risk prediction but impact by CAC volume remains unknown. Methods: Using data from 3256 MESA participants with CAC&gt;0 and clinical follow-up, we evaluated the association between number of arteries with CAC and risk for coronary heart disease (CHD), myocardial infarction (MI), and CVD events stratified by CAC volume (above/below median) using multivariable-adjusted Cox proportional hazards models. Results: Mean age was 63.3 years (SD 9.5) with 1363 (41.9%) women. There were 1079 (33%) with single-vessel, 822 (25%) with 2-vessel, and 1355 (42%) with 3-4 vessel CAC. Median CAC volume was 84.7 [IQR 24.5, 267.2] mm 3 . CAC in 3-4 vessels was independently associated with higher CHD risk ( Figure ) compared to 1-vessel (HR 2.01, 95% CI 1.1-3.6; p=0.018) and 2-vessels (HR 1.69, 95% CI 1.0-2.8; p=0.04) for lower CAC volumes, with similar findings for MI and CVD outcomes ( Table ). Conclusions: Number of arteries with CAC independently increases risk for ASCVD events only for those with lower CAC volumes.

The association between meat intake and the risk of coronary heart disease in Korean men using the Framingham risk score: A prospective cohort study

Background and aimsResearch suggests that meat intake may increase the risk of coronary heart disease (CHD), but most studies take place in Western countries, where the types and amount of meat products consumed differ from those in Asian countries. We aimed to identify the association between meat intake and CHD risk in Korean male adults, using the Framingham risk score. Methods and resultsWe used data from the Korean Genome and Epidemiology Study (KoGES) Health Examinees (HEXA) study, including 13,293 Korean male adults. We estimated the association of meat intake with ≥20% 10-year CHD risk using Cox proportional hazards regression models to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs). Subjects with the highest total meat intake had a 53% (model 4: HR 1.53, 95% CI 1.05–2.21) increased 10-year CHD risk compared to those with the lowest intake. Those with the highest red meat intake had a 55% (model 3: HR 1.55, 95% CI 1.16–2.06) increased 10-year CHD risk compared to those with the lowest intake. No association was observed between poultry or processed meat intake and 10-year CHD risk. ConclusionsConsumption of total meat and red meat was associated with a higher risk of CHD in Korean male adults. Further studies are needed to provide criteria for the appropriate meat intake by meat type to reduce CHD risk.

White blood cells and coronary heart disease: A mendelian randomization study.

Background: The causal direction and magnitude of the associations between blood cell count and coronary heart disease (CHD) remain uncertain due to susceptibility of reverse causation and confounding. This study aimed to investigate the associations between blood cell count and CHD using Mendelian randomization (MR). Methods: In this two-sample MR study, we identified independent blood cell count associated genetic variants from a genome-wide association studies (GWAS) among European ancestry individuals. Summary level data of CHD was obtained from a GWAS consisting of 547261 subjects. Methods of inverse variance weighted (IVW), Mendelian Randomization-Egger (MR-Egger), weighted median, and outlier test (MR-PRESSO) were conducted to investigate the associations between blood cell and CHD. Results: Among all cardiovascular outcomes of interest, blood cell counts were only associated with CHD. Our findings indicated that white blood cell count and neutrophil cell count were significantly associated with increased risk of CHD [odds ratio (OR) = 1.07, 95% confidence interval (CI), 1.01-1.14; OR = 1.09, 1.02-1.16). However, there was no significant association between monocyte cell count, basophil cell count, lymphocyte cell count, eosinophil cell count, and CHD (p > 0.05). The results after excluding outliers were consistent with main results and the sensitivity analyses showed no evidence of pleiotropy (MR-Egger intercept, p > 0.05). Conclusion: Our MR study suggested that greater white blood cell count and neutrophil cell count were associated with a higher risk of CHD. Future studies are still warranted to validate the results and investigate the mechanisms underlying these associations.

The negative association between serum albumin levels and coronary heart disease risk in adults over 45 years old: a cross-sectional survey

This study aimed to assess the correlation between serum albumin levels and coronary heart disease (CHD) risk in adults aged over 45 years. This cross-sectional study used the non-institutionalized US population from the National Health and Nutrition Examination Survey (NHANES 2011–2018) as the sample source. Multiple logistic regression was performed to evaluate the association between serum albumin levels and CHD risk. Smooth curve fitting was performed to explore potential nonlinear relationships. When nonlinear relationships were found, a recursive algorithm was used to calculate inflection points. Additionally, a piecewise logistic regression model was constructed. After adjusting for confounders, multiple logistic regression and smooth curve fitting indicated an inverse association between serum albumin levels and CHD risk [OR = 0.970, 95% CI = (0.948, 0.992)]. Subgroup analysis revealed that the negative correlation was statistically significant in the population of female patients, over 60 years, with hypertension, without diabetes. There was a correlation between serum albumin levels and CHD risk. Lower serum albumin levels were associated with a higher CHD risk.

Dietary inflammatory index and cardiovascular disease risk in Hispanic women from the Women’s Health Initiative

BackgroundTo evaluate the association between the dietary inflammatory index (DII®) and incident cardiovascular disease (CVD) in Hispanic women from the Women’s Health Initiative (WHI), and to determine if body mass index (BMI) interacted with the DII scores.MethodsSecondary analysis of baseline dietary data and long-term CVD outcomes among 3,469 postmenopausal women who self-identified as Hispanic enrolled in WHI. DII scores were calculated from self-administered food frequency questionnaires. The CVD outcomes included coronary heart disease (CHD) and stroke. Stratified Cox regression models were used to assess the relationship between DII scores and CVD in women with and without obesity. Models were adjusted for age, lifestyle risk factors, known risk factors, and neighborhood socioeconomic status.ResultsThe incidence of CHD was 3.4 and 2.8% for stroke after a median follow-up of 12.9 years. None of the DIIs were associated with CVD risk in this sample of Hispanic women. BMI interacted with the DII (p < 0.20) and stratified models showed that the associations between the DII and CVD were only significant in women with overweight (p < 0.05). In this group, higher DII scores were associated with a higher risk of CHD (HR 1.27; 95% CI: 1.08, 1.51) and a higher risk of stroke (HR 1.32; 95% CI: 1.07, 1.64).ConclusionAmong postmenopausal Hispanic women with overweight, greater adherence to pro-inflammatory diets was associated with higher risk of CVD. Additional research is needed to understand how to promote long-term heart-healthy dietary habits to reduce inflammation and prevent CVD in at-risk Hispanic women.

Milk intake, lactase persistence genotype, plasma proteins and risks of cardiovascular events in the Swedish general population

To investigate the associations of milk intake (non-fermented and fermented milk), lactase persistence (LCT-13910 C/T) genotype (a proxy for long-term non-fermented milk intake), and gene-milk interaction with risks of cardiovascular disease (CVD) and CVD mortality. Also, to identify the CVD-related plasma proteins and lipoprotein subfractions associated with milk intake and LCT-13910 C/T genotype. The prospective cohort study included 20,499 participants who were followed up for a mean of 21 years. Dietary intake was assessed using a modified diet history method. Cox proportional hazards regression models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). After adjusting for sociodemographic and lifestyle factors, higher non-fermented milk intake was significantly associated with higher risks of coronary heart disease (CHD) and CVD mortality, whereas higher fermented milk intake was significantly associated with lower risks of CVD and CVD mortality. The genotype associated with higher milk (mainly non-fermented) intake was positively associated with CHD (CT/TT vs. CC HR = 1.27; 95% CI: 1.03, 1.55) and CVD (HR = 1.22; 95% CI: 1.05, 1.42). The association between rs4988235 genotype and CVD mortality was stronger in participants with higher milk intake than among participants with lower intake (P for interaction < 0.05). Furthermore, leptin, HDL, and large HDL were associated with non-fermented milk intake, while no plasma proteins or lipoprotein subfractions associated with fermented milk intake and LCT-13910 C/T genotype were identified. In conclusion, non-fermented milk intake was associated with higher risks of CHD and CVD mortality, as well as leptin and HDL, whereas fermented milk intake was associated with lower risks of CVD and CVD mortality.

Traumatic brain injury and risk of heart failure and coronary heart disease: A nationwide population-based cohort study.

This study examined the long-term risks of heart failure (HF) and coronary heart disease (CHD) following traumatic brain injury (TBI), focusing on gender differences. Data from Taiwan's National Health Insurance Research Database included 29,570 TBI patients and 118,280 matched controls based on propensity scores. The TBI cohort had higher incidences of CHD and HF (9.76 vs. 9.07 per 1000 person-years; 4.40 vs. 3.88 per 1000 person-years). Adjusted analyses showed a significantly higher risk of HF in the TBI group (adjusted hazard ratio = 1.08, 95% CI = 1.01-1.17, P = 0.031). The increased CHD risk in the TBI cohort became insignificant after adjustment. Subgroup analysis by gender revealed higher HF risk in men (aHR = 1.14, 95% CI = 1.03-1.25, P = 0.010) and higher CHD risk in women under 50 (aHR = 1.32, 95% CI = 1.15-1.52, P < 0.001). TBI patients without beta-blocker therapy may be at increased risk of HF. Our results suggest that TBI increases the risk of HF and CHD in this nationwide cohort of Taiwanese citizens. Gender influences the risks differently, with men at higher HF risk and younger women at higher CHD risk. Beta-blockers have a neutral effect on HF and CHD risk.

Replacing Sedentary Behavior Time With Physical Activities, Recommended Physical Activity, and Incident Coronary Heart Disease

ObjectiveTo prospectively analyze the associations with coronary heart disease (CHD) risk of reallocating time from sedentary behavior to various physical activities using the isotemporal substitution model, particularly according to whether the participants meet the recommended physical activity level. MethodsWe included 455,298 UK Biobank participants free of CHD at baseline (March 13, 2006, to October 10, 2010). Sedentary behavior time was quantified by summing up the time spent on television watching, computer (not at work), and driving. Physical activities were categorized as daily-life activities (walking for pleasure, light do-it-yourself, and heavy do-it-yourself) and structured exercise (strenuous sports and other exercise). ResultsDuring a median follow-up of 11 years, 20,162 incident CHD cases were documented. Sedentary behavior time was significantly associated with a higher risk of CHD, independent of physical activity. Replacing 30 min/d of sedentary behavior with an equal time of various physical activities was associated with a 3% to 12% risk reduction of CHD. Replacing 1 h/d of sedentary behavior with different types of physical activities was associated with a 6% to 23% risk reduction of CHD. Sedentary behavior to strenuous sports reallocations showed the largest benefit. Reallocations of sedentary behavior to various physical activities showed particularly greater benefits among those who did not meet the physical activity recommendations. ConclusionsReplacing sedentary behavior time with various daily-life activities or structured exercise is associated with significant reductions in CHD risk.

Lost Therapeutic Benefit of Delayed Low-Density Lipoprotein Cholesterol Control in Statin-Treated Patients and Cost-Effectiveness Analysis of Lipid-Lowering Intensification

ObjectivesAttainment of low-density lipoprotein cholesterol (LDL-C) therapeutic goals in statin-treated patients remains suboptimal. We quantified the health economic impact of delayed lipid-lowering intensification from an Australian healthcare and societal perspective. MethodsA lifetime Markov cohort model (n = 1000) estimating the impact on coronary heart disease (CHD) of intensifying lipid-lowering treatment in statin-treated patients with uncontrolled LDL-C, at moderate to high risk of CHD with no delay or after a 5-year delay, compared with standard of care (no intensification), starting at age 40 years. Intensification was tested with high-intensity statins or statins + ezetimibe. LDL-C levels were extracted from a primary care cohort. CHD risk was estimated using the pooled cohort equation. The effect of cumulative exposure to LDL-C on CHD risk was derived from Mendelian randomization data. Outcomes included CHD events, quality-adjusted life-years (QALYs), healthcare and productivity costs, and incremental cost-effectiveness ratios (ICERs). All outcomes were discounted annually by 5%. ResultsOver the lifetime horizon, compared with standard of care, achieving LDL-C control with no delay with high-intensity statins prevented 29 CHD events and yielded 30 extra QALYs (ICERs AU$13 205/QALY) versus 22 CHD events and 16 QALYs (ICER AU$20 270/QALY) with a 5-year delay. For statins + ezetimibe, no delay prevented 53 CHD events and gave 45 extra QALYs (ICER AU$37 271/QALY) versus 40 CHD events and 29 QALYs (ICER of AU$44 218/QALY) after a 5-year delay. ConclusionsDelaying attainment of LDL-C goals translates into lost therapeutic benefit and a waste of resources. Urgent policies are needed to improve LDL-C goal attainment in statin-treated patients.

Multi-trajectories of systolic and diastolic hypertension and coronary heart disease in middle-aged and older adults.

This study aimed to investigate multi-trajectories of systolic and diastolic hypertension and assess their association with the risk of coronary heart disease (CHD) in middle-aged and older Chinese adults. The study cohort comprised 4,102 individuals aged 40-75 years with records of at least four systolic blood pressure (SBP) and diastolic blood pressure (DBP). A group-based multi-trajectory model was adopted to identify multi-trajectories of systolic and diastolic hypertension, followed by a logistic model to assess the independent associations between these trajectories and CHD risk. The multinomial logistic model was used to evaluate the impact of baseline covariates on trajectory groups. Six distinct trajectories for systolic and diastolic hypertension were identified which represent distinct stages of hypertension and were characterized as low-stable, low-increasing, medium-decreasing, medium-increasing-decreasing, isolated systolic hypertension phase, and high-decreasing. Compared with the low-stable group, the adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were 2.23 (1.34-3.70) for the medium-increasing-decreasing group and 1.87 (1.12-3.11) for the high-decreasing group after adjustment for baseline covariates. Compared with the low-increasing group, the ORs and 95% CIs were 1.88 (1.06-3.31) for the medium-increasing-decreasing group. Age, gender, drinking, body mass index (BMI), triglyceride (TG), and fasting plasma glucose (FPG) were independent predictors for trajectory groups 4 and 6. Novel, clinically defined multi-trajectories of systolic and diastolic hypertension were identified. Middle-aged and older adults with medium-increasing-decreasing or high-decreasing blood pressure trajectories are potentially critical periods for the development of CHD. Preventing adverse changes in hypertension status and reducing the high risk of CHD is necessary for people in distinct trajectory groups.

Abstract 13938: Metabolically Healthy Obese and Incident Coronary Heart Disease in Adult Cancer Survivors

Introduction: There is a paucity of data on the combined association of metabolic health status and obesity with coronary heart disease (CHD) in adult cancer survivors who are at excess risk of CHD associated with potentially harmful side effects from some cancer therapies. Long-term cardiovascular health among adult cancer survivors who are metabolically healthy obese (MHO), metabolically unhealthy non-obese (MUN), and metabolically unhealthy obese (MUO) as compared to those who are metabolically healthy non-obese (MHN) remains uncertain. Hypothesis: The hypothesis of this study was that adult cancer survivors who are MHO, MUN, MUO would have higher risk of CHD as compared to those who are MHN. Methods: Data on metabolic health status and incident CHD among adult cancer survivors (n=2,336) were abstracted from the National Health Insurance Service-Health Screening Cohort, 2002-2019 along with information on confounding variables (sociodemographic factors, health status, health behavior, and family history of heart disease). Obesity was defined as body mass index≥25.0 kg/m 2 and the participants were considered metabolically unhealthy if they met more than three out of the five (fasting serum glucose, blood pressure, triglyceride, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol) criteria for worsened metabolic health. Cox proportional hazards model adjusted for the confounding variables was used to compute hazard ratios (HR) and 95% confidence intervals (95% CI) for incident CHD according to the metabolic health and obesity categories. Results: Among adult cancer survivors, those who are MHO (HR=2.80; 95% CI: 1.65-4.76), MUN (HR=2.58; 95%: 1.12-5.97), and MUO (HR=4.88; 95% CI: 2.27-10.5) had higher risk of incident CHD as compared to those who are MHN. Conclusions: Adult cancer survivors who are MHO should also be of a clinical concern. Excess body weight and metabolic health status should be concurrently managed to reduce the risk of developing CHD among adult cancer survivors.

Development and Validation of a Coronary Heart Disease Risk Prediction Model in Snorers with Hypertension: A Retrospective Observed Study.

To develop and validate a risk prediction model for coronary heart disease (CHD) in snorers with hypertension, including traditional and new risk factors. Twenty factors were evaluated in the records of 2810 snorers with hypertension. Training (70%) and validation (30%) sets were created by random allocation of data, and a new nomogram model was developed. The model's discrimination and calibration were measured by calculating the area under the receiver operating curve (AUC) and creating calibration charts. The performance of the nomogram model was compared with that of the Prediction for ASCVD Risk in China (China-PAR) and Framingham models by decision curve analysis. An optimal cutoff point for the risk score in the training set was computed to stratify patients. In the nomogram model, the AUCs for predicting CHD at 5, 7 and 9 years in the training set were 0.706 (95% confidence interval [CI] 0.649-0.763), 0.703 (95% CI 0.655-0.751) and 0.669 (95% CI 0.593-0.744), respectively. The respective AUCs were 0.682 (95% CI 0.607-0.758), 0.689 (95% CI 0.618-0.760) and 0.664 (95% CI 0.539-0.789) in the validation set. The calibration chart showed that the predicted events from the nomogram score were close to the observed events. Decision curve analysis indicated that the nomogram score was slightly better than the Prediction for ASCVD Risk in China (China-PAR) and Framingham models for predicting the risk of CHD in snorers with hypertension. A cutoff point was identified for being CHD-free (a nomogram score of ≤121), which could be helpful for the early identification of individuals at high-risk of CHD. The nomogram score predicts the risk probability of CHD in snorers with hypertension at 5, 7 and 9 years, and shows good capability in terms of discrimination and calibration. It may be a useful tool for identifying individuals at high risk of CHD.

Association between fine particulate matter and coronary heart disease: A miRNA microarray analysis

Several studies have reported an association between residential surrounding particulate matter with an aerodynamic diameter ≤2.5 μm (PM2.5) and coronary heart disease (CHD). However, the underlying biological mechanism remains unclear. To fill this research gap, this study enrolled a residentially stable sample of 942 patients with CHD and 1723 controls. PM2.5 concentration was obtained from satellite-based annual global PM2.5 estimates for the period 1998–2019. MicroRNA microarray and pathway analysis of target genes was performed to elucidate the potential biological mechanism by which PM2.5 increases CHD risk. The results showed that individuals exposed to high PM2.5 concentrations had higher risks of CHD than those exposed to low PM2.5 concentrations (odds ratio = 1.22, 95% confidence interval: 1.00, 1.47 per 10 μg/m3 increase in PM2.5). Systolic blood pressure mediated 6.6% of the association between PM2.5 and CHD. PM2.5 and miR-4726-5p had an interaction effect on CHD development. Bioinformatic analysis demonstrated that miR-4726-5p may affect the occurrence of CHD by regulating the function of RhoA. Therefore, individuals in areas with high PM2.5 exposure and relative miR-4726-5p expression have a higher risk of CHD than their counterparts because of the interaction effect of PM2.5 and miR-4726-5p on blood pressure.

Association of lung function with the risk of cardiovascular diseases and all-cause mortality in patients with diabetes: Results from NHANES III 1988-1994.

ObjectiveThe potential effects of pulmonary dysfunction on cardiovascular diseases (CVD) and all-cause mortality are receiving attention. The current study aimed to explore whether reduced lung function predicts CVD and all-cause mortality in people with diabetes.MethodsA total of 1,723 adults with diabetes (mean age 60.2 years) were included in the National Health and Nutrition Examination Survey (NHANES III). Death outcomes were ascertained by linkage to the database records through 31 December 2015. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for coronary heart disease (CHD), CVD, and all-cause mortalities. We conducted stratified analyses based on age, body mass index (BMI), history of hypertension, and dyslipidemia.ResultsDuring a mean follow-up of 14.62 years (25,184 person-year), a total of 1,221 deaths were documented, of which 327 were CHD, 406 were CVD, and 197 were cancer. After multi-factor adjustment, participants with lower FEV1 and FVC had a higher risk of CHD, CVD, and all-cause mortality. This association was also found in lower FVC and a higher risk of cancer mortality [HR: 3.85 (1.31–11.32); P for trend = 0.040], but the association of FEV1 was attenuated after adjustment for covariates [HR:2.23 (0.54–9.17); P for trend = 0.247]. In subgroup analysis, we found that the adverse associations of FEV1 and FVC with CVD mortality were observed in subgroups of age, BMI, and history of hypertension and dyslipidemia.ConclusionDeclined lung function was associated with a higher risk of CVD and all-cause mortality in people with diabetes. Lung function tests, especially FEV1 and FVC, should be encouraged to provide prognostic and predictive information for the management of CVD and all-cause mortality in patients with diabetes.

The risk of cardiovascular diseases after miscarriage, stillbirth, and induced abortion: a systematic review and meta-analysis.

Miscarriage and stillbirth have been included in cardiovascular disease (CVD) risk guidelines, however heterogeneity in exposures and outcomes and the absence of reviews assessing induced abortion, prevented comprehensive assessment. We aimed to perform a systematic review and meta-analysis of the risk of cardiovascular diseases for women with prior pregnancy loss (miscarriage, stillbirth, and induced abortion). Observational studies reporting risk of CVD, coronary heart disease (CHD), and stroke in women with pregnancy loss were selected after searching MEDLINE, Scopus, CINAHL, Web of Knowledge, and Cochrane Library (to January 2020). Data were extracted, and study quality were assessed using the Newcastle-Ottawa Scale. Pooled relative risk (RR) and 95% confidence intervals (CIs) were calculated using inverse variance weighted random-effects meta-analysis.Twenty-two studies involving 4 337 683 women were identified. Seven studies were good quality, seven were fair and eight were poor. Recurrent miscarriage was associated with a higher CHD risk (RR = 1.37, 95% CI: 1.12-1.66). One or more stillbirths was associated with a higher CVD (RR = 1.41, 95% CI: 1.09-1.82), CHD (RR = 1.51, 95% CI: 1.04-1.29), and stroke risk (RR = 1.33, 95% CI: 1.03-1.71). Recurrent stillbirth was associated with a higher CHD risk (RR = 1.28, 95% CI: 1.18-1.39). One or more abortions was associated with a higher CVD (RR = 1.04, 95% CI: 1.02-1.07), as was recurrent abortion (RR = 1.09, 95% CI: 1.05-1.13). Women with previous pregnancy loss are at a higher CVD, CHD, and stroke risk. Early identification and risk factor management is recommended. Further research is needed to understand CVD risk after abortion.