Residual Coronary Artery Disease Risk Research Articles

Lipoprotein(a): A Residual Cardiovascular Risk Factor in Statin-Treated Stroke Survivors: Insights From the SPARCL Trial

BackgroundIn the SPARCL (Stroke Prevention by Aggressive Reduction in Cholesterol levels) trial, atorvastatin (80 mg/d) was compared to placebo in patients with recent stroke or transient ischemic attack (TIA) and no known coronary artery disease. ObjectivesThis study aimed to assess the contribution of lipoprotein(a) [Lp(a)] to subsequent cerebrovascular and cardiovascular events in stroke/TIA survivors. MethodsLp(a) levels and apolipoprotein(a) [apo(a)] isoform size were determined by liquid-chromatography mass spectrometry in samples collected at baseline from 2,814 SPARCL participants (1,418 randomized to atorvastatin and 1,396 to placebo). Within each treatment arm, patients in the highest quartile (≥84.0 nmol/L) were compared with those in the lowest quartiles of Lp(a) concentrations. Patients in the lowest quartile (≤25.9 Kringle IV domains) of apo(a) isoform sizes were compared with those in the highest quartiles. Multivariable-adjusted HRs were calculated using Cox proportional regression models. ResultsThere was no significant association between Lp(a) concentrations or apo(a) isoform sizes and the risk of recurrent stroke, the primary outcome of SPARCL, or cerebrovascular events in patients randomized to atorvastatin or placebo. In contrast, in patients randomized to atorvastatin, elevated Lp(a) concentrations and short apo(a) isoforms were positively and independently associated with an increased risk of coronary events (HR: 1.607 [95% CI: 1.007-2.563] and HR: 2.052 [95% CI: 1.303-3.232]). No such association was found in patients randomized to placebo (HR: 1.025 [95% CI: 0.675-1.555] and HR: 1.097 [95% CI: 0.735-1.637]). ConclusionsLp(a) contributes to the residual coronary artery disease risk of statin-treated stroke/TIA survivors, paving the way for use of therapies targeting Lp(a) in this population with stroke. (Lipitor In The Prevention Of Stroke, For Patients Who Have Had A Previous Stroke [SPARCL]; NCT00147602)

Atherogenic index of plasma predicts coronary artery disease severity and major adverse cardiac events in absence of conventional risk factors.

Various overlapping risk factors lead to coronary artery disease (CAD). The atherogenic index of plasma (AIP) is a marker for CAD severity and progression. However, little is known about its contribution to the residual risk of CAD observed in the absence of all typical risk factors. A prospective cohort study of 366 Indian patients undergoing coronary computed tomography (CT) angiography and diagnosed with stable CAD. Diabetes, hypertension, hypercholesterolemia, smoking, previous CAD, alcohol or lipid-lowering medication intake, renal, liver or thyroid dysfunction were exclusion criteria. Coronary stenosis was graded using the CAD-reporting and data system (CAD-RADS™) system. Lipid profile, HbA1c, uric acid, highly sensitive C-reactive protein (hsCRP) and anthropometric measurements were taken. AIP, triglyceride/high-density lipoprotein cholesterol (HDLc) and total cholesterol (Tc)/HDLc ratios were calculated. Independent predictors of CAD severity and the occurrence of major adverse cardiac events (MACE) during 2.57 (0.52) years of follow-up were identified using logistic regression and Cox proportional hazards regression. Sixty patients experienced a MACE during a cumulative 887.03 person-years. HbA1c, uric acid, hsCRP, Tc/HDLc and AIP were independent predictors of severe coronary lesions (CAD-RADS 4,5) on multivariate analysis with odds ratio 4.52 (2.37-8.61), 1.41 (1.08-1.84), 1.33 (1.09-1.62), 1.76 (1.27-2.44) and 1.29 (1.11-1.50), respectively. Only AIP and Tc/HDLc were independent predictors of MACE with hazard ratios of 1.41 (1.20-1.65) and 1.78 (1.33-2.39) besides patient age and CAD severity. AIP is associated with both the severity of CAD and the occurrence of MACE within 3 years. It could serve as an effective marker of residual risk of CAD in patients devoid of traditional risk factors. Lipid-profile ratios, such as AIP are cost-effective and accessible parameters suitable for low and middle-income settings.

Abstract 11578: Genome-Wide Pleiotropy Analysis of Coronary Artery Disease and Pneumonia

Introduction: Pneumonia correlates strongly with coronary artery disease (CAD) risk, and influenza vaccination reduces CAD risk in trials. Elucidating shared pathways may elucidate novel insights regarding residual CAD risk. Hypothesis: Genetic alleles exhibit pleiotropy for pneumonia and CAD, and may be leveraged for causal inference. Methods: We performed genome-wide pleiotropy analyses CAD and pneumonia with the PLACO method using summary statistics from CARDIoGRAMplusC4D (CAD) and FinnGen v4 (pneumonia). For genes near independently replicated SNPs (in UK and Mass General Brigham Biobanks) and expressed in GTEx v8 tissues, we examined the causal effects of index and interacting (by STRING) gene expression with CAD and pneumonia through Mendelian randomization (MR). Lastly, we examined for interactions between prioritized SNPs and smoking status on incident CAD and pneumonia risks. Results: Among 115 SNPs with significant genetic pleiotropy between CAD and pneumonia, 90 of them were replicated, and nearby genes ( ADAMTS7 , IL6R ) showed heritable gene expression. Across tissues, increased ADAMTS7 expression consistently showed decreased risk for CAD and increased risk for pneumonia, and increased IL6R expression showed increased risk for CAD and decreased risk for pneumonia. Among genes that interacted closely with ADAMTS7 and IL6R , NLRP3 similarly demonstrated significant causal effects on CAD and pneumonia in the same directions as that of ADAMTS7 . Sensitivity analysis using multiple MR methods yielded consistent results. The presence of ADAMTS7 p.Ser214Pro conferred a significantly reduced risk of CAD among non-smokers but not those who ever smoked ( P interaction 0.01) and a significantly increased risk of pneumonia only among those who ever smoked ( P interaction 0.0003). Conclusions: Genetic immune-inflammatory axes of CAD linked to respiratory infections implicate ADAMTS7 and IL6R , and related genes.

A specific plasma lipid signature associated with high triglycerides and low HDL cholesterol identifies residual CAD risk in patients with chronic coronary syndrome

Background and aimsElevated triglycerides (TG) and low high-density lipoprotein cholesterol (HDL-C) define a specific lipid profile associated with residual coronary artery disease (CAD) risk independently of total cholesterol and low-density lipoprotein cholesterol (LDL-C) levels. Aim of the present study was to assess whether TG/HDL-C ratio, coronary atherosclerosis and their change over time are characterized by a specific lipidomic profiling in stable patients with chronic coronary syndrome (CCS). MethodsTG/HDL-C ratio was calculated in 193 patients (57.8 ± 7.6 years, 115 males) with CCS characterized by clinical, bio-humoral profiles and cardiac imaging. Patient-specific plasma targeted lipidomics was defined through a high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) strategy. Patients underwent coronary computed tomography angiography (CTA) and an individual CTA risk score, combining extent, severity, composition, and location of plaques, was calculated. All patients entered a follow-up (6.39 ± 1.17 years), including clinical, lipidomics and coronary CTA assessments. ResultsPatients were divided in groups according to baseline TG/HDL-C quartiles: IQ (<1.391), IIQ (1.392–2.000), IIIQ (2.001–3.286), and IVQ (≥3.287). A specific pattern of altered lipids, characterized by reduced plasma levels of cholesterol esters, phosphatidylcholines and sphingomyelins, was associated with higher TG/HDL-C both at baseline and follow-up (IVQ vs IQ). The CTA risk score increased over time and this lipid signature was also associated with higher CTA score at follow-up. ConclusionsIn stable CCS, a specific lipidomic signature identifies those patients with higher TG/HDL- C ratio and higher CTA score over time, suggesting possible molecular pathways of residual CAD risk not tackled by current optimal medical treatments.

Imaging and Targeting Coronary Artery Inflammation.

Significance: Coronary artery disease (CAD) continues to be a leading cause of morbidity and mortality across the world despite significant progress in the prevention, diagnosis, and treatment of atherosclerotic disease. Recent Advances: The focus of the cardiovascular community has shifted toward seeking a better understanding of the inflammatory mechanisms driving residual CAD risk that is not modulated by current therapies. Significant progress has been achieved in revealing both proinflammatory and anti-inflammatory mechanisms, and how shift of the balance in favor of the former can drive the development of disease. Critical Issues: Advances in the noninvasive detection of coronary artery inflammation have been forthcoming. These advances include multiple imaging modalities, with novel applications of computed tomography both with and without positron emission tomography, and experimental ultrasound techniques. These advances will enable better selection of patients for anti-inflammatory treatments and assessment of treatment response. The rapid advancement in pharmaceutical design has enabled the production of specific antibodies against inflammatory pathways of atherosclerosis, with modest success to date. The pursuit of demonstrating the efficacy and safety of novel anti-inflammatory and/or proinflammatory resolution therapies for atherosclerotic CAD has become a major focus. Future Directions: This review seeks to provide an update of the latest evidence of all three of these highly related but disparate areas of inquiry: Our current understanding of the key mechanisms by which inflammation contributes to coronary artery atherosclerosis, the evidence for noninvasive assessment of coronary artery inflammation, and finally, the evidence for targeted therapies to treat coronary inflammation for the reduction of CAD risk. Antioxid. Redox Signal. 34, 1217-1243.

Optimal Non-invasive Strategies to Reduce Recurrent Atherosclerotic Cardiovascular Disease Risk.

Cardiovascular disease (CVD) remains the leading cause of death worldwide, with coronary artery disease (CAD) responsible for the vast majority of these deaths. Incidence is increasing in developing countries, and prevalence is increasing globally as populations age. Once CAD is manifest, recurrent event risk remains high. Multiple therapeutic avenues have had significant recent developments, including diet, low-density lipoprotein cholesterol management, triglycerides, hypoglycemic agents, antiplatelet agents, and oral anticoagulants. Combined approaches involving specific, tailored lifestyle, and pharmacological interventions will provide the most effective strategy for reducing the risk of recurrent CVD events. Here, we review risk prediction and non-invasive non-pharmacologic and pharmacologic approaches to mitigate residual coronary artery disease risk.

Effect of eicosapentaenoic acid/docosahexaenoic acid on coronary high-intensity plaques detected with non-contrast T1-weighted imaging (the AQUAMARINE EPA/DHA study): study protocol for a randomized controlled trial

BackgroundDespite the success of HMG-CoA reductase inhibitor (statin) therapy in reducing atherosclerotic cardiovascular events, a residual risk for cardiovascular events in patients with coronary artery disease (CAD) remains. Long-chain n-3 polyunsaturated fatty acids (LC n-3 PUFAs), especially eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), are promising anti-atherosclerosis agents that might reduce the residual CAD risk. Non-contrast T1-weighted imaging (T1WI) with cardiac magnetic resonance (CMR) less invasively identifies high-risk coronary plaques as high-intensity signals. These high-intensity plaques (HIPs) are quantitatively assessed using the plaque-to-myocardium signal intensity ratio (PMR). Our goal is to assess the effect of EPA/DHA on coronary HIPs detected with T1WI in patients with CAD on statin treatment.Methods/designThis prospective, controlled, randomized, open-label study examines the effect of 12 months of EPA/DHA therapy and statin treatment on PMR of HIPs detected with CMR and computed tomography angiography (CTA) in patients with CAD. The primary endpoint is the change in PMR after EPA/DHA treatment. Secondary endpoints include changes in Hounsfield units, plaque volume, vessel area, and plaque area measured using CTA. Subjects are randomly assigned to either of three groups: the 2 g/day EPA/DHA group, the 4 g/day EPA/DHA group, or the no-treatment group.DiscussionThis trial will help assess whether EPA/DHA has an anti-atherosclerotic effect using PMR of HIPs detected by CMR. The trial outcomes will provide novel insights into the effect of EPA/DHA on high-risk coronary plaques and may provide new strategies for lowering the residual risk in patients with CAD on statin therapy.Trial registrationThe University Hospital Medical Information Network (UMIN) Clinical Trials Registry, ID: UMIN000015316. Registered on 2 October 2014.

Different Lipid Variables Predict Incident Coronary Artery Disease in Patients With Type 1 Diabetes With or Without Diabetic Nephropathy: The FinnDiane Study

To study the ability of lipid variables to predict incident coronary artery disease (CAD) events in patients with type 1 diabetes at different stages of nephropathy. Patients (n = 3,520) with type 1 diabetes and available lipid profiles participating in the Finnish Diabetic Nephropathy Study (FinnDiane) were included in the study. During a follow-up period of 10.2 years (8.6-12.0), 310 patients suffered an incident CAD event. Apolipoprotein B (ApoB)/ApoA-I ratio was the strongest predictor of CAD in normoalbuminuric patients (hazard ratio 1.43 [95% CI 1.17-1.76] per one SD increase), and ApoB was the strongest in macroalbuminuric patients (1.47 [1.19-1.81]). Similar results were seen when patients were stratified by sex or glycemic control. LDL cholesterol was a poor predictor of CAD in women, normoalbuminuric patients, and patients with HbA1c below the median (8.3%, 67 mmol/L). The current recommended triglyceride cutoff of 1.7 mmol/L failed to predict CAD in normoalbuminuric patients, whereas the cohort median 0.94 mmol/L predicted incident CAD events. In patients with type 1 diabetes, the predictive ability of the lipid variables differed substantially depending on the patient's sex, renal status, and glycemic control. In normoalbuminuric patients, the ratios of atherogenic and antiatherogenic lipoproteins and lipids were the strongest predictors of an incident CAD event, whereas in macroalbuminuric patients, no added benefit was gained from the ratios. Current treatment recommendations may need to be revised to capture residual CAD risk in patients with type 1 diabetes.

Robust association of the LPA locus with low-density lipoprotein cholesterol lowering response to statin treatment in a meta-analysis of 30 467 individuals from both randomized control trials and observational studies and association with coronary artery disease outcome during statin treatment

The LPA single-nucleotide polymorphism rs10455872 has been associated with low-density lipoprotein cholesterol (LDLc) lowering response to statins in several randomized control trials (RCTs) and is a known coronary artery disease (CAD) marker. However, it is unclear what residual risk of CAD this marker may have during statin treatment. Using electronic medical records linked to the GoDARTS genotyped population, we identified over 8000 patients on statins in Tayside, Scotland. We replicated the findings of the RCTs, with the G allele of rs10455872 being associated with a 0.10 mmol/l per allele poorer reduction in LDLc in response to statin treatment, and conducted a meta-analysis with previously published RCTs (P = 1.46 × 10, n = 30 467). We showed an association between rs10455872 and CAD in statin-treated individuals and have replicated this finding in the Utrecht Cardiovascular Pharmacogenetics study (combined odds ratio 1.41, 95% confidence interval 1.17-1.68, P = 4.5 × 10, n = 8822) suggesting that statin treatment does not abrogate this well-established genetic risk for CAD. Furthermore, in a Cox proportional hazards model with LDLc measured time dependently, we demonstrated that the relationship between CAD and rs10455872 was independent of LDLc during statin treatment. Individuals with the G allele of rs10455872, which represents approximately one in seven patients, have a higher risk of CAD than the majority of the population even after treatment with statins; and therefore represent a vulnerable group requiring an alternative medication in addition to statin treatment.

Therapeutic Approaches to the Regulation of Metabolism of High-Density Lipoprotein

High-density lipoprotein (HDL) and low-density lipoprotein (LDL) particles transport cholesterol in plasma and play an important role in cellular cholesterol homeostasis, which influences cell function. The risk of coronary artery disease (CAD) associated with high levels of LDL-cholesterol (LDL-C) can be reduced by treatment with statins, which reduce LDL-C levels by inhibiting cellular cholesterol synthesis. However, patients who are treated with high doses of statins, especially secondary CAD prevention, regardless of their resulting LDL-C levels, are still at high risk of CAD. Therefore, there has been growing interest in HDL-directed therapies. Inhibitors of cholesteryl ester transfer protein (CETP) substantially increase HDL-C levels (by 31-138%). However, it is still unclear whether or not CETP inhibitors can reduce the risk of CAD associated with low HDL-C levels, while reconstituted HDL or apolipoprotein A-I mimetic peptides increase the functionality of HDL. Low levels of HDL-C are often complicated with metabolic disorders, including hypertriglyceridemia, metabolic syndrome, and type 2 diabetes mellitus, and lifestyle changes are effective for correcting these conditions. Physical activity and exercise training increase HDL-C levels, especially HDL2-C levels, by multiple mechanisms. Therefore, although using HDL-directed therapies that increase HDL-C levels and/or improve the function of HDL is a reasonable approach for reducing the residual risk of CAD as a complement to LDL-C-lowering therapy, lifestyle modifications including exercise to improve metabolic disorders should be considered as the first option.

Reducing Residual Risk for Patients on Statin Therapy: The Potential Role of Combination Therapy

Cholesterol-lowering therapy with 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase inhibitors, or statins, has been established as an effective method of reducing death and myocardial infarction among patients with coronary artery disease (CAD). However, a significant number of patients receiving statin therapy continue to have high residual risk. An important clinical challenge exists in reducing residual CAD risk with optimal therapies without increasing adverse effects. Combination therapy appears most appropriate for patients with a high rate of events of residual risk despite optimal statin therapy. This article discusses the role of combination therapy in managing CAD and in achieving optional targets in high-risk patient populations.