Coronary Artery Disease Mortality Research Articles

Abstract 4134922: Trends in Coronary Artery Disease-Related Mortality in Adults with Hyperlipidemia in the United States: A CDC WONDER Database Analysis

Background: Coronary artery disease (CAD), related to high blood lipid levels, is a significant contributor to adult mortality in the United States. This study examines the patterns of CAD-related deaths associated with high lipid levels in adults aged 25 and above, with a specific focus on variations related to geography, gender, and race/ethnicity from 1999 to 2020. Methods: This study employed a comprehensive retrospective analysis using death certificate data from the CDC WONDER database, covering 21 years from 1999 to 2020. We calculated age-adjusted mortality rates (AAMRs), annual percent change (APC), and average annual percentage change (AAPC) per 100,000 persons, categorized by year, gender, race/ethnicity, and geographic regions. This approach ensured a robust and reliable analysis of the trends in CAD-related deaths associated with high lipid levels. Results: Between 1999 and 2020, CAD in individuals with high levels of lipids resulted in 407,667 deaths among adults aged 25 and above in the United States. The majority of these deaths occurred in medical facilities (40.1%) and at home (37.3%). The AAMR for CAD in individuals with high lipid levels increased from 4.1 in 1999 to 12.1 in 2020, showing an AAPC of 4.44 (95% CI: 3.69 to 5.48, p < 0.000001). Men had a higher AAMR (12.4) than women (5.6), and both sexes experienced significant increases over time. Disparities in AAMRs by race/ethnicity revealed the highest rates among Whites (8.9), followed by American Indians/Alaska Natives (8.6), Blacks (7.3), Hispanics (6.5), and Asians/Pacific Islanders (5.9). The most significant increase was observed in Blacks (AAPC: 5.07, p < 0.000001). This detailed breakdown of the disparities in CAD mortality rates among different racial and ethnic groups provides a clear picture of the health inequalities that need to be addressed. Conclusion: This study emphasizes the discrepancies in CAD mortality related to high lipid levels among adults in the United States based on race, gender, and geographic location. The consistent rise in AAMRs between 1999 and 2020 emphasizes the necessity for specific public health interventions to tackle these increasing inequalities.

Abstract 4148070: Clonal Hematopoeisis of Indeterminate Potential and Risk of Autopsy-defined Sudden Cardiac Death

Introduction: Clonal hematopoiesis of indeterminate potential (CHIP) has been associated with an increased risk of coronary artery disease (CAD) and cardiovascular (CV) mortality. Whether CHIP may affect myocardium beyond promoting CAD, or its potential association with sudden cardiac death (SCD), the most feared manifestation of CV disease, is unknown. Research Questions/Hypothesis: We hypothesize that CHIP-mutant macrophages infiltrate the myocardium and are associated with autopsy-defined arrhythmic death. Goals/Aims: (1) determine rate of CHIP at time of death in an unselected, countywide study of all incident sudden deaths; (2) evaluate whether CHIP-mutant macrophages infiltrate into myocardium; and (3) evaluate potential association of CHIP with autopsy-confirmed arrhythmic causes among countywide sudden deaths Methods/Approach: We used autopsy to adjudicate arrhythmic from non-arrhythmic (PE, stroke, overdose, tamponade) causes in 1,148 sudden deaths and 141 trauma control deaths in San Francisco County from 2011-23. DNA was extracted from frozen blood samples collected at time of death from 399 consented cases. Sequencing of 22 CHIP-associated genes was performed to ~2000x mean target coverage. All pathogenic/likely pathogenic CHIP variants at >2% variant allele frequency (VAF) were considered CHIP+. DNA was then isolated from left ventricular (LV) tissue sampled at autopsy in all CHIP+ blood cases and sequenced as above. Results: Of 399 consented cases, 70 blood samples (17.5%) were CHIP+ (range 2%-39.6%; mean age 70.6 years vs. 58.1 years for CHIP-). The most frequent mutant genes were DNMT3A, TET2, and ASXL1. Proportion of arrhythmic causes among sudden deaths was similar for CHIP+ vs. CHIP- cases (36 of 70 [52%] vs. 171 of 329 [51%]). Sequencing of available LV tissue from 61 CHIP+ blood cases revealed 67% (n=41) harbored the same CHIP mutation identified in blood at >0.2% VAF (range 0.2%-4.3%). Proportion of arrhythmic causes among sudden deaths was significantly higher in cases where both blood and LV were CHIP+ (24 of 41 [58.5%] vs. 5 of 19 [26.3%] CHIP+ blood/CHIP- LV, p=0.02). Conclusions: Prevalence of CHIP positivity at sudden death is similar to published studies and correlated with age. CHIP+ status in myocardial tissue but not peripheral blood was associated with arrhythmic causes of sudden death, suggesting a direct tissue effect of CHIP-mutant macrophages.

Abstract 4138718: Teen Pregnancy and Risk of Premature Major Adverse Cardiovascular Events

Introduction: Teen pregnancy (TP), defined as pregnancy between 10 and 19 years, is associated with adverse pregnancy outcomes and perpetuates socioeconomic disadvantage, but the impact in later life is not well studied. We investigated the association of TP with premature major adverse cardiovascular events (PMACE) Methods: We used data from the National Health and Nutrition Examination Survey 1999–2018. Surveys were linked with the National Death Index to ascertain mortality records. Only adult females aged 20 years and older were included in the analysis. Participants were divided into 3 groups based on age at their first life birth: 19 or younger (TP), 20 and above (non-TP), and nulliparous women (NP). TP was ascertained by age at first life birth ≤ 19 years, and PMACE was defined as any self-reported diagnosis of coronary artery disease, stroke, heart failure, or all-cause mortality occurring before age 65. We assessed the association between these groups and PMACE using univariate and multivariate logistic regression models. Result: Among 19,737 (weighted frequency of 83,450,668) adult females, 24.2% had a history of TP, 54.3% had a history of non-TP and 21.5% were NP. Compared with NP females, females with TP had a higher odd of PMACE with an unadjusted odd ratio of 3.75 (95%CI, 2.80 - 5.01) versus 2.07 (1.55 – 2.75) among non-TP. Adjusting for age, race, alcohol use, smoking, and social determinants of health factors such as income, educational status, insurance status, and food insecurity, TP remained independently associated with higher odds of PMACE with an adjusted odd ratio of 1.66 (95%CI, 1.19 – 2.30); p=0.003, but this association was not statistically significant among non-TP females with aOR 1.32 (0.95 – 1.84); p=0.10. Conclusion: Teen pregnancy was associated with higher likelihood of PMACE. This association may be indicative of the enduring impact of social determinants of health factors associated with teen pregnancy into adulthood.

Abstract 4138332: Lipoprotein (a), Triglyceride-Glucose Index and Incident Atherosclerotic Cardiovascular Disease (ASCVD): Analysis of the UK Biobank

Background: The triglyceride-glucose index (TyG), an inexpensive novel surrogate marker for insulin resistance, and lipoprotein (a) [Lp(a)] are both risk factors for atherosclerotic cardiovascular disease (ASCVD). However, it is uncertain whether TyG modifies the relationship of Lp(a) with incident ASCVD. Objective: To investigate the relationship of Lp(a) and TyG with the risk of incident ASCVD. Methods: We included UK Biobank participants without ASCVD at enrollment. Baseline TyG was calculated as ln[fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]. We classified TyG values as high (≥75th percentile) or low (<75th percentile), and Lp(a) levels, in nmol/L, as <125 or ≥125. Participants were then stratified into four groups: Group-1: Low TyG with Lp(a), <125, Group-2: Low TyG with Lp(a) ≥125, Group-3: High TyG with Lp(a) <125, and Group-4: High TyG with Lp(a) ≥125. We used multivariable Cox regression to estimate the risk of ASCVD (a composite of peripheral arterial disease, coronary artery disease, myocardial infarction, ischemic stroke, and cardiovascular mortality) of TyG and Lp(a) adjusted for the other, and in the four combination groups. Results: Eligible participants (N=254,377) had a mean (SD) age of 56.0 (8.1) years, and 53.2% were female. The median follow-up was 14.6 years. In separate models additionally adjusted for cardiovascular risk factors (see Figure legend), the hazard ratio (HR [95% CI]) for ASCVD was 1.18(1.13–1.23) for Lp(a) ≥125 nmol/L (vs. <125 nmol/L), adjusted for TyG, and 1.09(1.05–1.13) for high TyG (vs. low), adjusted for Lp(a). A statistically significant interaction between TyG and Lp(a) was observed in the fully adjusted model (p <0.001). Compared to Group-1 (low TyG with Lp(a) <125nmol/L), the adjusted HR (95% CI) of incident ASCVD in Group-2, -3 and -4 were: 1.07(1.04–1.13), 1.15 (1.09–1.21) and 1.34(1.25–1.44), respectively (Figure). Conclusions: These findings demonstrate that TyG and Lp(a) are associated with incident ASCVD risk independently of each other. Moreover, TyG modified the effect of Lp(a) on ASCVD, suggesting that insulin resistance may amplify the atherogenic, inflammatory, and/or thrombotic effects of Lp(a), thereby further increasing ASCVD risk.

Abstract 4138730: Analysis of Coronary Artery Disease and COPD Mortality in Older Adults in the United States, 1999-2020: CDC Data on Geographic, Gender, and Racial Trends in Mortality

Background: The coexistence of coronary artery disease (CAD) and Chronic Obstructive Pulmonary Disease (COPD) represents a major health challenge for older adults in the United States. This study designed to examine the variations in mortality rates associated with CAD and COPD among individuals aged 65 and above from 1999 to 2020. Methods: Using the CDC WONDER database, a retrospective analysis was conducted on death certificate data from 1999 to 2020. Age-adjusted mortality rates (AAMRs) per 100,000 persons were calculated, and trends were evaluated using Average Annual Percentage Change (AAPC) and Annual Percentage Change (APC). The data were stratified by year, sex, race/ethnicity, and geographical region. Results: Between 1999 and 2020, coronary artery disease (CAD) and Chronic Obstructive Pulmonary Disease (COPD) were responsible for 881,875 deaths among adults aged 65 and older in the United States. The majority of these deaths occurred in medical facilities (40.3%) and in the decedents' homes (28.3%). The overall Age-Adjusted Mortality Rate (AAMR) decreased from 119.4 in 1999 to 86.9 in 2020, with an Annual Percent Change (APC) of -1.65 (p < 0.000001). Notably, AAMRs moderately decreased from 1999 to 2018 (APC: -2.13, p = 0.025195), followed by a significant increase from 2018 to 2020 (APC: 2.95, p = 0.296341). Men had notably higher AAMRs than women (men: 139.8; women: 67.4), with both sexes experiencing almost equal declines over the study period. In terms of race, Whites had the highest AAMRs (106.5), followed by Native Americans (87.3), Blacks (60.7), Hispanics (51.0), and Asians (30.4). While all racial groups experienced decrease in AAMR , the decline was more signficance in Asians [AAPC: -3.26, (CI: -4.30 to -2.27) (p-value < 0.000001)]. Geographically, AAMRs varied widely among states, with the highest mortality rates observed in the Midwestern region. Nonmetropolitan areas generally had higher AAMRs than metropolitan areas, and both showed decreases from 1999 to 2020, with greater declines in metropolitan areas. Figure 1 Conclusion: This research emphasizes the temporal trends and demographic discrepancies in mortality rates linked to CAD and COPD among older adults aged 65 and above in the United States. Despite an overall decrease in mortality rates, the recent rise necessitates additional investigation and focused interventions to address inequalities and improve outcomes in affected demographic groups.

Association between triglyceride-glucose index and in-hospital all-cause mortality under different glucose metabolism status among patients with coronary artery disease

BackgroundThis current study aimed to investigate the relationship between the triglyceride-glucose (TyG) index and in-hospital all-cause mortality of coronary artery disease (CAD) in patients with different glucose metabolic statuses.MethodsParticipants were divided into three groups according to tertiles of the TyG index. Glucose metabolic status was classified as normal glucose regulation, pre-diabetes mellitus, and diabetes mellitus (DM). The primary outcome was in hospital all-cause mortality.ResultsWe observed a significant relationship between the TyG index and in-hospital deaths of patients with CAD in this study. After adjusting for multiple factors in the logistic regression model, the TyG index was still an independent risk factor, and the T3 group (OR, 2.311; 95% CI = 1.237–4.317; P = 0.009) was correlated with a 2.311-fold risk compared with the T1 group. In the subgroup analysis of different glucose metabolic status, the T3 group (OR, 1.541; 95% CI: 1.013–2.344; P = 0.043) were associated with a significantly higher risk of in-hospital deaths in CAD patients with DM.ConclusionsAn increased TyG index was correlated with a higher risk of in-hospital all-cause mortality. Our study indicated that TyG index could be a valuable predictor of in-hospital death of CAD patients, especially for individuals with DM.

Trends in coronary artery disease mortality among adults with diabetes: Insights from CDC WONDER (1999–2020)

BackgroundCoronary artery disease (CAD) in diabetes mellitus (DM) is a significant cause of mortality among US adults. This study investigates trends in CAD-related mortality in adults aged 25 and older with DM, focusing on geographic, gender, and racial/ethnic disparities from 1999 to 2020. MethodsA retrospective analysis was conducted using death certificate data from the CDC WONDER database from 1999 to 2020. Age-adjusted mortality rates (AAMRs), annual percent change (APC), and average annual percentage change (AAPC) were calculated per 100,000 persons, stratified by year, sex, race/ethnicity, and geographical region. ResultsCAD in DM accounted for 1,462,279 deaths among US adults aged 25+. Most deaths occurred in medical facilities (44.2 %) and at home (29.3 %). The overall AAMR for CAD in DM-related deaths decreased from 36.3 in 1999 to 31.7 in 2020, with an AAPC of −0.96 (95 % CI: −1.29 to −0.77, p < 0.000001). Men had higher AAMRs (41.6) compared to women (22.6), with a more significant decrease in women (AAPC: −2.10, p < 0.000001) than in men (AAPC: −0.34, p = 0.001200). Racial/ethnic disparities showed the highest AAMRs in American Indians/Alaska Natives (43.6), followed by Blacks (37.8), Hispanics (33.8), Whites (29.7), and Asians/Pacific Islanders (22.5). The most significant decrease was in Hispanics (AAPC: −1.64, p < 0.000001). Geographically, AAMRs ranged from 13.7 in Nevada to 51.3 in West Virginia, with the highest mortality observed in the Midwest (AAMR: 34.5). Nonmetropolitan areas exhibited higher AAMRs (35.2) than metropolitan areas (29.7), with a more pronounced decrease in metropolitan areas (AAPC: −1.22, p < 0.000001) compared to nonmetropolitan areas (AAPC: −0.03, p = 0.854629). ConclusionThe notable increase in mortality rates associated with CAD among patients with DM from 2018 to 2020 presents a substantial concern that necessitates targeted public health interventions to ensure equitable access to cardiovascular care.

Correlation between LDL/HDL-cholesterol ratio and long term prognosis after acute coronary syndrome and severity of coronary artery disease

Abstract Introduction Dyslipidaemia is an important correctable risk factor for coronary artery disease (CAD). Many studies have confirmed that the lower the low-density lipoprotein cholesterol (LDL-C) levels are, the lower is the CAD morbidity and mortality rates (1). However, many patients who achieved low levels of LDL-C still experience a major adverse cardiovascular event (MACE) because of the other residual risk factors. Therefore, there is a constant need for better stratification of patients who are at higher risk for novel MACE following their first acute coronary syndrome (ACS). Evidence increasingly suggests that the ratio of LDL-C/HDL-C might be a new and better marker of cardiovascular disease, as it simultaneously evaluates the levels of both LDL-C and HDL-C (2). Purpose The aim of this study was to investigate the prediction value of LDL-C/HDL-C ratio for long term prognosis after ACS as well as its correlation with CAD severity. Methods We included patients hospitalized at out centre with ACS from January 2017 to January 2024. Demographic data, data on LDL-C and HDL-C levels on admission and calculated Syntax score were used. Syntax score is a comprehensive angiographic scoring system which determines complexity by using coronary anatomy and lesion characteristics (3). Follow-up data were collected either by clinical follow-up visits or by telephone interviews. The MACE was defined as the composite of cardiovascular death, acute coronary syndrome and need for elective or urgent percutaneous or surgical revascularization. Results This registry-based study included 2471 patients with ACS, median age of 64 (interquartile range 56-73) years, 31% female. Total of 1099 patients (44%) had non-ST elevation ACS and 1372 (54%) had ST elevation myocardial infarction (STEMI). Median Syntax score was 13 (IQR 7-20.5), with 1494 (61%) patients having low Syntax score (≤16), 508 (21%) patients medium (16-22), and 448 (18%) high score (&amp;gt;22), respectively. Median follow up was 17 (3-27) months. LDL-C/HDL-C ratio correlated significantly with cardiovascular death, with weak coefficient (2.94 vs. 2.54 p&amp;lt;0.001; rho=0.102, p&amp;lt;.0001), however did not correlate with MACE (2.88 vs. 2.92, p=0.188, rho=0.06, p=0.77). This remained identical when tested for patients with STEMI and non-STE ACS. In addition, LDL-C/HDL-C ratio did not correlate with CAD severity as assessed with Syntax score (low 2.92 vs. medium 2.83 vs. high 2.86, p=0.597; rho=0.4, p=0.09). Conclusion Our data suggest that LDL-C/HDL-C ratio cannot be used as a relevant predictor of post-ACS long-term MACE or cardiovascular death, nor it can be correlated with CAD severity. Further studies are needed to establish the real value of LDL-C/HDL-C ratio as a post-ACS predictor.

Trends in risk factor prevalence in young adults experiencing acute coronary syndrome

Abstract Introduction While for many decades the prevalence of coronary artery disease (CAD) and acute coronary syndrome (ACS) has been declining, it seems as this trend has reached a plateau, mostly in developing countries, but also in developed countries due to reasons such as immigration and unhealthy lifestyle concomitant to the pandemic of obesity and metabolic syndrome. Still, CAD remains the leading cause of death globally. Preventive cardiology guidelines addressed adequate control of traditional risk factors in order to reduce CAD burden, mortality and morbidity but to lesser extent fewer resources were invested for the younger population in their third or fourth decade for implementing this practical guideline. As global obesity pandemic emerged over the past decades, it emphasizes the need to re-evaluating risk factors, particularly the role of obesity and metabolic syndrome, in contributing to the rising incidence of ACS among the younger population. Purpose The study aims to analyze trends in risk factors among young adult which presented with ACS from 2005 to 2022. Results may inform targeted interventions and deepen understanding of ACS pathophysiology and severity. Methods The study encompassed 712 patients hospitalized between 2005 and 2022. Comparable groups were analyzed, including temporal changes, ST-elevation myocardial infarction (STEMI) vs. non-ST-elevation myocardial infarction (NSTEMI), different age groups, and various ethnicities. Categorical values were thoroughly examined, yielding insightful results. Results Temporal changes revealed that patients presenting with ACS before 2014 exhibited a higher incidence of Dyslipidemia and familial history (p=0.002 and p=0.005). Conversely, in the latter period, overweight and diabetes were more significant (p&amp;lt;0.001 and p=0.0176). In the STEMI vs. NSTEMI group, smoking was more prevalent in the STEMI group (p=0.0449), while diabetes, Dyslipidemia, and hypertension were more significant for the NSTEMI group (p=0.022, p=0.009, p&amp;lt;0.001). For the age group, the only observed difference was in hypertension for the 40-45 and 45-50 age group (p=0.0463). In the ethnicity group, individuals of Arab origin exhibited higher rates of smoking and familial cardiac background (p&amp;lt;0.001 and p=0.03), while in the non-Arab group, obesity was more significant (p&amp;lt;0.001). Conclusion The observed changes in the distribution of risk factors among patients with CAD align with global trends, indicating an increase in obesity. Belonging to the overweight population, prior to obesity, pose a prominent risk factor for ACS. Smoking remains a significant factor, with higher rates in patients presenting with STEMI, aligning previous research and re-emphasize the importance of prevention. Different demographic groups may exhibit distinct risk factors contributing to the common endpoint of CAD. Tailored intervention strategies considering diverse risk profiles are essential for effective coronary disease prevention.

Trends and Disparities in Coronary Artery Disease and Obesity-Related Mortality in the United States From 1999-2022.

Almost half of the US adult population has obesity, which predisposes to atherosclerosis and can lead to poor prognosis in coronary artery disease (CAD). We aim to identify CAD and obesity-related mortality trends among adults in the United States stratified by age, sex, race and geographical location. The CDC-WONDER database was used to extract death certificate data for adults aged ≥ 25 years. Crude mortality rates (CMR) and age-adjusted mortality rates (AAMRs) per 100,000 persons were calculated, and temporal trends were described by calculating annual percent change (APC) and the average APC (AAPC) in the rates using Joinpoint regression analysis. From 1999 to 2022, a total of 273,761 CAD and obesity-related deaths were recorded in the United States. The AAMR increased consistently from 1999 to 2018 (APC: 4.3, 95% confidence interval (CI): 3.4-4.9) and surged thereafter till 2022 (APC: 11.4; 95% CI: 7.7-19.1). During the COVID-19 pandemic (2020-2022), AAMR almost doubled that of the rest of the study period. Additionally, the AAMR for males was nearly twice that of females. Non-Hispanic (NH) Blacks or African Americans displayed the highest AAMR, followed by NH Whites, Hispanic or Latino, and other NH populations. AAMRs showed minimal variation by census regions. Rural areas exhibited a higher AAMR (AAMR: 5.9, 95% CI: 5.8-5.9) than urban areas (AAMR: 4.4, 95% CI: 4.4-4.5). We observed increasing trends in CAD and obesity-related deaths throughout the study period reaching a peak during the COVID-19 pandemic.

Precision phenotyping from routine laboratory parameters for out of hospital survival prediction in an all comers prospective PCI registry

Out-of-hospital mortality in coronary artery disease (CAD) is particularly high and established adverse event prediction tools are yet to be available. Our study aimed to investigate whether precision phenotyping can be performed using routine laboratory parameters for the prediction of out-of-hospital survival in a CAD population treated by percutaneous coronary intervention (PCI). All patients treated by PCI and discharged alive in a tertiary center between January 2016 – December 2022 that have been included prospectively in the local registry were analyzed. 115 parameters from the PCI registry and 266 parameters derived from routine laboratory testing were used. An extreme gradient-boosted decision tree machine learning (ML) algorithm was trained and used to predict all-cause and cardiovascular-cause survival. A total of 4027 patients with 4981 PCI hospitalizations were randomly included in the 70% training dataset and 1729 patients with 2160 PCI hospitalizations were randomly included in the 30% validation dataset. All-cause and cardiovascular cause mortality was 17.5% and 12.2%. The integrated area under the receiver operator characteristic curve for prediction of all-cause and cardiovascular cause mortality by the ML on the validation dataset was 0.844 and 0.837, respectively (all p < 0.001). Parameters reflecting renal function (first and maximum serum creatinine), hematologic function (mean corpuscular hemoglobin concentration, platelet distribution width), and inflammatory status (lymphocyte per monocyte ratio) were among the most important predictors. Accurate out-of-hospital survival prediction in CAD can be achieved using routine laboratory parameters. ML outperformed clinical risk scores in predicting out-of-hospital mortality in a prospective all-comers PCI population and has the potential to precisely phenotype patients.

Geographical variations and predictors of coronary artery disease mortality in Turkiye: an environmental and behavioral analysis

ObjectiveThis study aims to analyze the geographical variations and identify key environmental and behavioral predictors of coronary artery disease (CAD) mortality in Turkiye.MethodsA 10-year longitudinal province-level data was used to identify change trajectories of CAD mortality. Environmental determinants (such as air quality and climatic conditions) and behavioral factors of alcohol consumption and smoking were examined for their association with CAD mortality change trajectories using Ordinal Logistic Regression models.ResultsThe study revealed significantly different trajectoriesof CAD mortality across Turkiye. Environmental factors, particularly air quality (Particulate Matter-10 variation) and climatic conditions (humidity and temperature variations), were heavily associated with the level of CAD mortality. Behavioral factors, notably alcohol consumption and smoking, also exhibited a significantly positive association. Humidity, sunlight, and temperature remained as key predictors of CAD after controlling for smoking and alcohol consumption.ConclusionThe study underscores the importance of addressing environmental and lifestyle factors in CAD management and prevention strategies. The findings suggest the necessity for region-specific interventions and public health policies tailored to the unique characteristics of each province in Turkiye. This research contributes to a deeper understanding of the multifactorial nature of CAD mortality, providing valuable insights for future research to investigate causal associations, healthcare planning, and policy-making.Trial registrationOur study has been registered in ClinicalTrials.GOV system with a procotol ID of CAD001.

Does Adopting Western Low-density Lipoprotein Cholesterol Targets Expose Indians to a Higher Risk of Cardiovascular Events? Expert Opinion From the Lipid Association of India.

Adverse cardiovascular (CV) events have declined in Western countries due at least in part to aggressive risk factor control, including dyslipidemia management. The American and European (Western) dyslipidemia treatment guidelines have contributed significantly to the reduction in atherosclerotic cardiovascular disease (ASCVD) incidence in the respective populations. However, their direct extrapolation to Indian patients does not seem appropriate for the reasons described below. In the US, mean low-density lipoprotein cholesterol (LDL-C) levels have markedly declined over the last 2 decades, correlating with a proportional reduction in CV events. Conversely, poor risk factor control and dyslipidemia management have led to increased CV and coronary artery disease (CAD) mortality rates in India. The population-attributable risk of dyslipidemia is about 50% for myocardial infarction, signifying its major role in CV events. In addition, the pattern of dyslipidemia in Indians differs considerably from that in Western populations, requiring unique strategies for lipid management in Indians and modified treatment targets. The Lipid Association of India (LAI) recognized the need for tailored LDL-C targets for Indians and recommended lower targets compared to Western guidelines. For individuals with established ASCVD or diabetes with additional risk factors, an LDL-C target of <50 mg/dL was recommended, with an optional target of ≤30 mg/dL for individuals at extremely high risk. There are several reasons that necessitate these lower targets. In Indian subjects, CAD develops 10 years earlier than in Western populations and is more malignant. Additionally, Indians experience higher CAD mortality despite having lower basal LDL-C levels, requiring greater LDL-C reduction to achieve a comparable CV event reduction. The Indian Council for Medical Research-India Diabetes study described a high prevalence of dyslipidemia among Indians, characterized by relatively lower LDL-C levels, higher triglyceride levels, and lower high-density lipoprotein cholesterol (HDL-C) levels compared to Western populations. About 30% of Indians have hypertriglyceridemia, aggravating ASCVD risk and complicating dyslipidemia management. The levels of atherogenic triglyceride-rich lipoproteins, including remnant lipoproteins, are increased in hypertriglyceridemia and are predictive of CV events. Hypertriglyceridemia is also associated with higher levels of small, dense LDL particles, which are more atherogenic, and higher levels of apolipoprotein B (Apo B), reflecting a higher burden of circulating atherogenic lipoprotein particles. A high prevalence of low HDL-C, which is often dysfunctional, and elevated lipoprotein(a) [Lp(a)] levels further contribute to the heightened atherogenicity and premature CAD in Indians. Considering the unique characteristics of atherogenic dyslipidemia in Indians, lower LDL-C, non-HDL-C, and Apo B goals compared to Western guidelines are required for effective control of ASCVD risk in Indians. South Asian ancestry is identified as a risk enhancer in the American lipid management guidelines, highlighting the elevated ASCVD risk of Indian and other South Asian individuals, suggesting a need for more aggressive LDL-C lowering in such individuals. Hence, the LDL-C goals recommended by the Western guidelines may be excessively high for Indians and could result in significant residual ASCVD risk attributable to inadequate LDL-C lowering. Further, the results of Mendelian randomization studies have shown that lowering LDL-C by 5-10 mg/dL reduces CV risk by 8-18%. The lower LDL-C targets proposed by LAI can yield these incremental benefits. In conclusion, Western LDL-C targets may not be suitable for Indian subjects, given the earlier presentation of ASCVD at lower LDL-C levels. They may result in greater CV events that could otherwise be prevented with lower LDL-C targets. The atherogenic dyslipidemia in Indian individuals necessitates more aggressive LDL-C and non-HDL-C lowering, as recommended by the LAI, in order to stem the epidemic of ASCVD in India.

Role of lymphocyte-to-monocyte ratio as a predictive marker for diabetic coronary artery disease: A cross-sectional study.

The lymphocyte to monocyte ratio (LMR) is considered a marker of systemic inflammation in cardiovascular disease and acts as predictor of mortality in coronary artery disease. To investigate the predictive role of LMR in diabetic coronary artery disease patients. This cross-sectional study was conducted at tertiary care super-specialty hospital at New Delhi, India. A total of 200 angiography-proven coronary artery disease (CAD) patients were enrolled and grouped into two categories: Group I [CAD patients with type 2 diabetes mellitus (T2DM) and glycated hemoglobin (HbA1c) levels ≥ 6.5%], and Group II (CAD patients without T2DM and HbA1c levels < 6.5%). Serum lipoproteins, HbA1c, and complete blood count of enrolled patients were analyzed using fully automatic analyzers. The logistic regression analysis showed an odds ratio of 1.48 (95%CI: 1.28-1.72, P < 0.05) for diabetic coronary artery disease patients (Group I) in unadjusted model. After adjusting for age, gender, diet, smoking, and hypertension history, the odds ratio increased to 1.49 (95%CI: 1.29-1.74, P < 0.01) in close association with LMR. Further adjustment for high cholesterol and triglycerides yielded the same odds ratio of 1.49 (95%CI: 1.27-1.75, P < 0.01). Receiver operating characteristic curve analysis revealed 74% sensitivity, 64% specificity, and 0.74 area under the curve (95%CI: 0.67-0.80, P < 0.001), suggesting moderate predictive accuracy for diabetic CAD patients. LMR showed positive association with diabetic coronary artery disease, with moderate predictive accuracy. These findings have implications for improving CAD management in diabetics, necessitating further research and targeted interventions.

Impact of New-Onset Diabetes after Transplantation on Cardiovascular Risk and Mortality in Korea: A Nationwide Population-Based Study.

Limited data are available on the adverse effects of new-onset diabetes after transplantation (NODAT) in solid organ transplantation (TPL) other than kidney. This study aimed to identify the risk of complications associated with NODAT in recipients of kidney, liver, or heart TPL. Using the Korean National Health Insurance Service database, recipients of kidney, liver, or heart TPL between 2009 and 2015 were identified. The incidence of coronary artery disease (CAD), cerebrovascular accident (CVA), and malignancy was compared across groups with NODAT, pretransplant diabetes mellitus (DM), and without DM using Cox regression analysis. A total of 9,632 kidney, liver, or heart TPL recipients were included. During the median follow-up of 5.9 years, NODAT independently increased the incidence of CAD (hazard ratio [HR], 2.46; 95% confidence interval [CI], 1.39 to 4.30) and overall mortality (HR, 1.48; 95% CI, 1.14 to 1.95) compared to the reference group even after adjustment for confounders; this was more prominent in kidney TPL than in liver TPL. The risk of CVA was significantly increased by pretransplant DM but not by NODAT in both kidney and liver TPL (HR, 2.47; 95% CI, 1.68 to 3.65; and HR, 3.18; 95% CI, 1.07 to 9.48, respectively). NODAT increased the risk of malignancy in the crude model, which lost its statistical significance after confounder adjustment. NODAT independently increases the risk of CAD and mortality after TPL, which is more evident in kidney recipients. There was no additional increased risk of CVA or malignancy with NODAT in solid organ TPL.

Risk Factors for Heart Failure and Coronary Artery Disease Mortality Based on the National Vital Statistics During a 25-Year Follow-up in Japan - NIPPON DATA90.

Prevention of heart failure (HF) is a public health issue. Using the National Vital Statistics, we explored risk factors for HF and coronary artery disease (CAD) mortality. Altogether, 7,556 Japanese individuals aged ≥30 years in 1990 were followed over 25 years; of these, 139 and 154 died from HF and CAD, respectively. In multivariable Cox proportional hazard analysis, common risk factors for CAD and HF mortality were hypertension (hazard ratio [HR] 1.48 [95% confidence interval {CI} 1.00-2.20] and 2.31 [95% CI 1.48-3.61], respectively), diabetes (HR 2.52 [95% CI 1.63-3.90] and 2.07 [95% CI 1.23-3.50], respectively), and current smoking (HR 2.05 [95% CI 1.27-3.31) and 1.86 [95% CI 1.10-3.15], respectively). Specific risk factors for CAD were male sex, chronic kidney disease, history of cardiovascular disease, and both abnormal T and Q waves, with HRs (95% CIs) of 1.75 (1.05-2.92), 1.78 (1.19-2.66), 2.50 (1.62-3.88), and 11.4 (3.64-36.0), respectively. Specific factors for HF were current drinking (HR 0.43; 95% CI 0.24-0.78) and non-high-density lipoprotein cholesterol (non-HDL-C; HR 0.81; 95% CI 0.67-0.98). There was an inverse association between non-HDL-C and HF in those aged ≥65 years (HR 0.71; 95% CI 0.56-0.90), but not in those aged <65 years. We identified common risk factors for HF and CAD deaths; a history of cardiovascular disease was a specific risk for CAD.

Monocyte/lymphocyte ratio as a risk factor of cardiovascular and all-cause mortality in coronary artery disease with low-density lipoprotein cholesterol levels below 1.4 mmol/L: A large longitudinal multicenter study

Monocyte/lymphocyte ratio as a risk factor of cardiovascular and all-cause mortality in coronary artery disease with low-density lipoprotein cholesterol levels below 1.4 mmol/L: A large longitudinal multicenter study

The prognostic value of mean platelet volume in patients with coronary artery disease: An updated systematic review with meta-analyses.

Mean platelet volume (MPV) is a widely available laboratory index, however its prognostic significance in patients with coronary artery disease (CAD) is still unclear. We intended to investigate and pool the evidence on the prognostic utility of admission MPV in predicting clinical outcomes in patients with CAD. PubMed, Web of Science, and Scopus were the major databases used for literature search. The risk of bias was assessed using the quality in prognostic factor studies. We used random-effects pairwise analysis with the Knapp and Hartung approach supported further with permutation tests and prediction intervals (PIs). We identified 52 studies with 47,066 patients. A meta-analysis of nine studies with 14,864 patients demonstrated that one femtoliter increase in MPV values was associated with a rise of 29% in the risk of long-term mortality (hazard ratio [HR] 1.29, 95% confidence interval [CI] 1.22-1.37) in CAD as a whole. The results were further supported with PIs, permutation tests and leave-one-out sensitivity analyses. MPV also demonstrated its stable and significant prognostic utility in predicting long-term mortality as a linear variable in patients treated with percutaneous coronary intervention (PCI) and presented with acute coronary syndrome (ACS) (HR 1.29, 95% CI 1.20-1.39, and 1.29, 95% CI 1.19-1.39, respectively). The meta-analysis found robust evidence on the link between admission MPV and the increased risk of long-term mortality in patients with CAD patients, as well as in patients who underwent PCI and patients presented with ACS.

The synergistic effect of the atherogenic index of plasma and hyperuricemia on the prediction of coronary chronic total occlusion lesion: an observational cross-sectional study.

The atherogenic index of plasma (AIP) and hyperuricemia (HUA) have been shown to be closely associated with morbidity and mortality of coronary artery disease. However, studies targeting predictive value of AIP and HUA for chronic total occlusion (CTO) lesions are still lacking. In total, 5,238 patients meeting the eligibility criteria were recruited in this analysis. CTO was defined as the condition of lesions without forward blood flow and with over three months of occlusion time. AIP was calculated as log10 [triglycerides (mmol/L)/high-density lipoprotein cholesterol (mmol/L)]. HUA was defined based on sex-specific criteria: serum uric acid 420 and 360 μmol/L for males and females, respectively. CTO lesions were presented in 907 (17.3%) patients. Compared with patients showing lower AIP levels and non-HUA, the CTO lesion risks increased by 5.225 and 2.765 times in patients with higher AIP levels and HUA. Patients with AIP >0.15 and HUA exhibited the greatest CTO incidence (odds ratio 11.491; 95% confidence interval 9.019-14.641, P < 0.001). In addition, AIP combined with HUA had significantly increased effects (a 38.5% increase in CTO risk) relative to the sum of respective effects. Patients having higher AIP levels and HUA exhibited the highest CTO incidence, in comparison with patients who have the increased single index. AIP combined with HUA displayed significant synergistic effect on the prediction of CTO lesion.

Study on the management effect of chronic disease intelligent information management platform in post percutaneous coronary intervention patients.

In 2019, approximately 330 million individuals in China were affected by cardiovascular diseases, with 11.4 million cases specifically attributed to coronary artery disease (CAD). A national public health report indicated that the mortality rate for CAD ranged from 121.59 to 130.14 per 100,000 individuals in 2019. The treatments for CAD include lifestyle changes, medications, percutaneous coronary intervention (PCI) and coronary artery bypass grafting. To investigate the management effect of a digital health program in patients with coronary artery disease (CAD) after percutaneous coronary intervention (PCI). This retrospective study compares blood pressure, blood glucose, low-density lipoprotein cholesterol (LDL-C), medication adherence, lifestyle modification, and readmission rate between digital health users and traditional follow-up in post-PCI CAD patients. In this study of 698 CAD patients, the 6-month readmission rate of all patients was 27.4%, with digital health users showing lower rates than those in traditional follow-up (22.6% vs. 32.1%, p= 0.005). Digital health users had significantly higher target achievements rates in blood pressure (79.7% vs. 54.7%, p< 0.001), blood glucose (98.9% vs. 82.5%, p< 0.001) and LDL-C level (71.3% vs. 52.7%, p< 0.001) at 6-month post-PCI. The digital health group had more patients adopting lifestyle changes, including quitting smoking, maintaining a healthy diet, and exercising regularly. In risk factor analysis, digital health utilization (OR = 0.60, 95%CI: 0.40-0.90, p= 0.014) and multivessel disease (double: OR = 1.72, 95%CI: 1.09-2.72, p= 0.02; triple: OR = 2.59, 95%CI: 1.61-4.17, p< 0.001) were independent predictors of CAD-related cardiovascular readmissions. Post-PCI patients using digital health platforms exhibited improved blood pressure, glucose, and LDL-C control, greater treatment adherence, enhanced lifestyle changes, and reduced six-month readmission rates versus those with traditional follow-up.