Atherosclerotic Carotid Plaque Composition and Incident Stroke and Coronary Events

BackgroundIncreasing evidence suggests that atherosclerotic plaque composition rather than plaque size is linked to ischemic cardiovascular events, yet largescale population-based data in asymptomatic individuals remain scarce.ObjectivesThis study sought to investigate carotid plaque composition in relation to incident stroke and coronary heart disease (CHD) in a population-based setting.MethodsBetween 2007 and 2012, 1,349 persons (mean age 72 years, 49.5% women) from the population-based Rotterdam Study who were free from a history of stroke or CHD, in whom carotid ultrasonography showed subclinical atherosclerosis, and who underwent high-resolution magnetic resonance imaging of the carotid arteries to assess plaque characteristics. These included the presence of specific plaque components (intraplaque hemorrhage [IPH], lipid-rich necrotic core, and calcification), and measures of plaque size (maximum plaque thickness and presence of stenosis of more than 30%). Individuals were continuously followed for the occurrence of stroke or CHD until January 1, 2015. The authors used Cox regression models to assess the association of the plaque characteristics with the incidence of stroke and CHD, with adjustments for age, sex, and cardiovascular risk factors.ResultsDuring a median of 5.1 years’ follow-up for stroke and 4.8 years for CHD, 51 individuals had a stroke and 83 developed CHD. Independent of maximum plaque thickness and cardiovascular risk factors, the presence of IPH was associated with incident stroke and CHD (fully adjusted hazard ratio: 2.42 [95% confidence interval: 1.30 to 4.50], and 1.95 [95% confidence interval: 1.20 to 3.14]). Presence of a lipid-rich necrotic core and calcification were not associated with stroke or CHD.ConclusionsThe presence of IPH in the carotid atherosclerotic plaque is an independent risk factor for stroke and CHD. These findings indicate the promise of IPH as a marker of plaque vulnerability in healthy persons with subclinical atherosclerosis.     

Elevated serum bilirubin may significantly reduce coronary heart disease risk in females: A prospective cohort study

Background and aimsThere is still inconsistent evidence over the protective effect of total bilirubin on the development of coronary heart disease (CHD). Therefore, we aimed to investigate the association between bilirubin in population subtypes and the risks of CHD between different gender and menstruation subgroups.Methods and resultsIn this prospective cohort study, 29,750 participants free of CHD with an average age of 47 ± 14 years were recruited at baseline; of these, 720 CHD first-attack cases were collected after 7-years of follow up. The covariate-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) of CHD with 95% confidence intervals (CIs). The serum bilirubin concentration was quarterly stratified based on the distribution of healthy population without CHD onset. The HRs of incident CHD decreased with elevated bilirubin in females (ρ trend<0.05), but not males. In postmenopausal females, compared with the lowest quartile of total bilirubin, the adjusted HRs for the third and fourth quartiles were 0.64 (95% CI: 0.45, 0.93) and 0.59 (95% CI: 0.42, 0.86), the adjusted HRs in the third and fourth quartiles of direct bilirubin were 0.56 (0.39, 0.82) and 0.56 (0.38, 0.81), and for indirect bilirubin, corresponding HR in the highest quartile was 0.56 (0.38, 0.83).ConclusionElevated serum bilirubin was inversely associated with adjusted HRs of CHD in females, especially postmenopausal females. The relationship between elevated direct bilirubin and reduced HRs of CHD may be closer than indirect bilirubin in postmenopausal females.     

CT Coronary Angiography and Dynamic CT Myocardial Perfusion for Detection of Cardiac Allograft Vasculopathy

BackgroundCardiac allograft vasculopathy (CAV) is a major obstacle limiting long-term graft survival. Effective noninvasive surveillance modalities reflecting both coronary artery and microvascular components of CAV are needed.ObjectivesThe authors evaluated the diagnostic performance of dynamic computed tomography–myocardial perfusion imaging (CT-MPI) and coronary computed tomography angiography (CCTA) for CAV.MethodsA total of 63 heart transplantation patients underwent combined CT-MPI and CCTA plus invasive coronary angiography (ICA) with intravascular ultrasonography (IVUS) between December 2018 and October 2021. The median interval between CT-MPI and heart transplantation was 4.3 years. Peak myocardial blood flow (MBF) of the whole myocardium (MBF_global) and minimum MBF (MBF_min) among the 16 segments according to the American Heart Association model, except the left ventricular apex, were calculated from CT-MPI. CCTA was assessed qualitatively, and the degree of coronary artery stenosis was recorded. CAV was diagnosed based on both ICA (ISHLT criteria) and IVUS. Patients were followed up for a median time of 2.3 years after CT-MPI and a median time of 5.7 years after transplantation.ResultsAmong the 63 recipients, 35 (55.6%) had diagnoses of CAV. The median MBF_global and MBF_min were significantly lower in patients with CAV (128.7 vs 150.4 mL/100 mL/min; P = 0.014; and 96.9 vs 122.8 mL/100 mL/min; P < 0.001, respectively). The combined use of coronary artery stenosis on CCTA and MBF_min showed the highest diagnostic performance with an area under the curve of 0.886 (sensitivity: 74.3%, specificity: 96.4%, positive predictive value: 96.3%, and negative predictive value: 75.0%).ConclusionsThe combination of CT-MPI and CCTA demonstrated excellent diagnostic performance for the detection of CAV. One-stop evaluation of the coronary artery and microvascular components involved in CAV using combined CCTA and CT-MPI may be a potent noninvasive screening method for early detection of CAV.     

1-Year Outcomes of Angina Management Guided by Invasive Coronary Function Testing (CorMicA)

ObjectivesThe aim of this study was to test the hypothesis that invasive coronary function testing at time of angiography could help stratify management of angina patients without obstructive coronary artery disease.BackgroundMedical therapy for angina guided by invasive coronary vascular function testing holds promise, but the longer-term effects on quality of life and clinical events are unknown among patients without obstructive disease.MethodsA total of 151 patients with angina with symptoms and/or signs of ischemia and no obstructive coronary artery disease were randomized to stratified medical therapy guided by an interventional diagnostic procedure versus standard care (control group with blinded interventional diagnostic procedure results). The interventional diagnostic procedure–facilitated diagnosis (microvascular angina, vasospastic angina, both, or neither) was linked to guideline-based management. Pre-specified endpoints included 1-year patient-reported outcome measures (Seattle Angina Questionnaire, quality of life [EQ-5D]) and major adverse cardiac events (all-cause mortality, myocardial infarction, unstable angina hospitalization or revascularization, heart failure hospitalization, and cerebrovascular event) at subsequent follow-up.ResultsBetween November 2016 and December 2017, 151 patients with ischemia and no obstructive coronary artery disease were randomized (n = 75 to the intervention group, n = 76 to the control group). At 1 year, overall angina (Seattle Angina Questionnaire summary score) improved in the intervention group by 27% (difference 13.6 units; 95% confidence interval: 7.3 to 19.9; p < 0.001). Quality of life (EQ-5D index) improved in the intervention group relative to the control group (mean difference 0.11 units [18%]; 95% confidence interval: 0.03 to 0.19; p = 0.010). After a median follow-up duration of 19 months (interquartile range: 16 to 22 months), major adverse cardiac events were similar between the groups, occurring in 9 subjects (12%) in the intervention group and 8 (11%) in the control group (p = 0.803).ConclusionsStratified medical therapy in patients with ischemia and no obstructive coronary artery disease leads to marked and sustained angina improvement and better quality of life at 1 year following invasive coronary angiography. (Coronary Microvascular Angina [CorMicA]; NCT03193294)     

The association between Chinese Visceral Adipose Index and coronary heart disease: A cohort study in China

Background and aimsThe purpose of this study is to explore the relationship between Chinese visceral adipose index (CVAI) and the risk of coronary heart disease (CHD) in Chinese through a large cohort study.Methods and resultsThis study included 42,165 adults who were without CHD at baseline and who completed at least one annual follow-up between 2009 and 2016. We used the Cox proportional hazards model to estimate Hazard Ratios (HRs) and 95% Confidence Intervals (CIs) for the association between CVAI and risk of CHD. During the median follow-up of 3.36 years (154,808 person years), 520 participants developed CHD, including 374 males and 146 females. Compared with the first quartile of CVAI, the risk of CHD was significantly increased in the fourth quartile of CVAI in multivariate model (HR [95% CI]: 9.92 [5.45, 18.04], P < 0.001). Sensitivity analysis by excluding incident CHD developed in the first two years of follow-up reinforced our results. Gender stratification analyses showed that the relationship between CVAI and CHD risk was higher in males than that in females. The restricted cubic spline showed a non-linear dose-response relationship between CVAI and CHD risk. In addition, CVAI was associated with CHD risk in the subgroups of participants without T2DM, without hypertension, and without fatty liver.ConclusionCVAI was significantly associated with the risk of CHD. Individuals should keep CVAI at normal level to prevent CHD.     

Alignment of Transcatheter Aortic-Valve Neo-Commissures (ALIGN TAVR): Impact on Final Valve Orientation and Coronary Artery Overlap

ObjectivesThe aim of this study was to evaluate the impact of initial deployment orientation of SAPIEN 3, Evolut, and ACURATE-neo transcatheter heart valves on their final orientation and neocommissural overlap with coronary arteries.BackgroundCoronary artery access and redo transcatheter aortic valve replacement (TAVR) following initial TAVR may be influenced by transcatheter heart valve orientation. In this study the impact of transcatheter heart valve deployment orientation on commissural alignment was evaluated.MethodsPre-TAVR computed tomography and procedural fluoroscopy were analyzed in 828 patients who underwent TAVR (483 SAPIEN 3, 245 Evolut, and 100 ACURATE-neo valves) from March 2016 to September 2019 at 5 centers. Coplanar fluoroscopic views were coregistered to pre-TAVR computed tomography to determine commissural alignment. Severe overlap between neocommissural posts and coronary arteries was defined as 0° to 20° apart. The SAPIEN 3 had 1 commissural post crimped at 3, 6, 9, and 12 o’clock. The Evolut “Hat” marker and ACURATE-neo commissural post at deployment were classified as center back (CB), inner curve (IC), outer curve (OC), or center front (CF) and matched with final orientation.ResultsInitial SAPIEN 3 crimped orientation had no impact on commissural alignment. Evolut “Hat” at OC or CF at initial deployment had less severe overlap than IC or CB (p < 0.001) against the left main (15.7% vs. 66.0%) and right coronary (7.1% vs. 51.1%) arteries. Tracking Evolut “Hat” at OC of the descending aorta (n = 107) improved OC at deployment from 70.2% to 91.6% (p = 0.002) and reduced coronary artery overlap by 36% to 60% (p < 0.05). ACURATE-neo commissural post at CB or IC during deployment had less coronary artery overlap compared to CF or OC (p < 0.001), with intentional alignment successful in 5 of 7 cases.ConclusionsThis is the first systematic evaluation of commissural alignment in TAVR. More than 30% to 50% of cases had overlap with 1 or both coronary arteries. Initial SAPIEN 3 orientation had no impact on alignment, but specific initial orientations of Evolut and ACURATE improved alignment. Optimizing valve alignment to avoid coronary artery overlap will be important in coronary artery access and redo TAVR.     

Prognostic Value of Stress Dynamic Computed Tomography Perfusion With Computed Tomography Delayed Enhancement

ObjectivesThis study sought to evaluate the prognostic value of stress dynamic computed tomography (CT) perfusion (CTP) with CT delayed enhancement (CTDE) in patients with suspected or known coronary artery disease (CAD) and in subgroups of patients with stent, heavy calcification, or stenosis.BackgroundThe prognostic value of stress dynamic CTP with CTDE is unknown.MethodsParticipants were 540 patients with suspected or known CAD. Major adverse cardiac event(s) (MACE) consisted of cardiac death, nonfatal myocardial infarction, unstable angina, or hospitalization for congestive heart failure. Ischemic score was calculated by scoring the reduction of normalized myocardial blood flow in 16 segments excluding areas of myocardial scarring. Ischemic perfusion defect (IPD) was defined as Ischemic score ≥4. Scar score was also calculated by scoring the transmural extent of scarring in each segment on CTDE.ResultsDuring a median follow-up of 2.9 years, 43 MACEs occurred. By adding IPD to obstructive CAD (≥50% stenosis) on coronary CT angiography, the concordance index for predicting MACEs increased from 0.73 to 0.82 in patients with suspected CAD (p = 0.028) and from 0.61 to 0.73 in patients with known CAD (p = 0.004). IPD and scar score of ≥4 were independent predictors when adjusted for each other in patients with suspected (adjusted hazard ratios: 7.5 [p < 0.001] and 3.0 [p = 0.034], respectively) or known CAD (adjusted hazard ratios: 4.4 [p = 0.001] and 3.2 [p = 0.024], respectively). Patients with IPD had a higher annualized event rate than those without IPD in subgroups of those with stent (11.5% vs. 2.6%; p < 0.001), heavy calcification (13.3% vs. 3.1%; p < 0.001), 50% to 69% stenosis (8.8% vs. 1.0%; p < 0.001), or ≥70% stenosis (12.4% vs. 3.6%; p < 0.001).ConclusionsStress dynamic CTP with CTDE had incremental prognostic value over CT angiography in each group with suspected or known CAD and was prognostically useful in subgroups of patients with stent, heavy calcification, or obstructive CAD. IPD and myocardial scarring may play complementary roles in prognostic stratification.     

Interplay of Coronary Artery Calcium and Risk Factors for Predicting CVD/CHD Mortality: The CAC Consortium

ObjectivesThis study sought to evaluate the association and burden of coronary artery calcium (CAC) with long-term, cause-specific mortality across the spectrum of baseline risk.BackgroundAlthough CAC is a known predictor of short-term, all-cause mortality, data on long-term and cause-specific mortality are inadequate.MethodsThe CAC Consortium cohort is a multicenter cohort of 66,636 participants without coronary heart disease (CHD) who underwent CAC testing. The following risk factors (RFs) were considered: 1) current cigarette smoking; 2) dyslipidemia; 3) diabetes mellitus; 4) hypertension; and 5) family history of CHD.ResultsDuring the 12.5-years median follow-up, 3,158 (4.7%) deaths occurred; 32% were cardiovascular disease (CVD) deaths. Participants with CAC scores ≥400 had a significantly increased risk for CHD and CVD mortality (hazard ratio [HR]: 5.44; 95% confidence interval [CI]: 3.88 to 7.62; and HR: 4.15; 95% CI: 3.29 to 5.22, respectively) compared with CAC of 0. Participants with ≥3 RFs had a smaller increased risk for CHD and CVD mortality (HR: 2.09; 95% CI: 1.52 to 2.85; and HR: 1.84; 95% CI: 1.46 to 2.31, respectively) compared with those without RFs. Across RF strata, CAC added prognostic information. For example, participants without RFs but with CAC ≥400 had significantly higher all-cause, non-CVD, CVD, and CHD mortality rates compared with participants with ≥3 RFs and CAC of 0.ConclusionsAcross the spectrum of RF burden, a higher CAC score was strongly associated with long-term, all-cause mortality and a greater proportion of deaths due to CVD and CHD. Absence of CAC identified people with a low risk over 12 years of follow-up, with most deaths being non-CVD in nature, regardless of RF burden.     

Long-Term Changes in Gut Microbial Metabolite Trimethylamine N-Oxide and Coronary Heart Disease Risk

BackgroundA gut-microbial metabolite, trimethylamine N-oxide (TMAO), has been associated with coronary atherosclerotic burden. No previous prospective study has addressed associations of long-term changes in TMAO with coronary heart disease (CHD) incidence.ObjectivesThe purpose of this study was to investigate whether 10-year changes in plasma TMAO levels were significantly associated with CHD incidence.MethodsThis prospective nested case-control study included 760 healthy women at baseline. Plasma TMAO levels were measured both at the first (1989 to 1990) and the second (2000 to 2002) blood collections; 10-year changes (Δ) in TMAO were calculated. Incident cases of CHD (n = 380) were identified after the second blood collection through 2016 and were matched to controls (n = 380).ResultsRegardless of the initial TMAO levels, 10-year increases in TMAO from the first to second blood collection were significantly associated with an increased risk of CHD (relative risk [RR] in the top tertile: 1.58 [95% confidence interval (CI): 1.05 to 2.38]; RR per 1-SD increment: 1.33 [95% CI: 1.06 to 1.67]). Participants with elevated TMAO levels (the top tertile) at both time points showed the highest RR of 1.79 (95% CI: 1.08 to 2.96) for CHD as compared with those with consistently low TMAO levels. Further, we found that the ΔTMAO-CHD relationship was strengthened by unhealthy dietary patterns (assessed by the Alternate Healthy Eating Index) and was attenuated by healthy dietary patterns (p interaction = 0.008).ConclusionsLong-term increases in TMAO were associated with higher CHD risk, and repeated assessment of TMAO over 10 years improved the identification of people with a higher risk of CHD. Diet may modify the associations of ΔTMAO with CHD risk.     

Comparing Risk Scores in the Prediction of Coronary and Cardiovascular Deaths: Coronary Artery Calcium Consortium

ObjectivesThis study compared risk discrimination for the prediction of coronary heart disease (CHD) and cardiovascular disease (CVD) deaths for the Pooled Cohort Equations (PCE), the MESA (Multi-Ethnic Study of Atherosclerosis) Risk Score (with and without coronary artery calcium [CAC]), and of simple addition of CAC to the PCE.BackgroundThe PCE predict 10-year risk of atherosclerotic CVD events, and the MESA Risk Score predicts risk of CHD. Their comparative performance for the prediction of fatal events is poorly understood.MethodsWe evaluated 53,487 patients ages 45 to 79 years from the CAC Consortium, a retrospective cohort study of asymptomatic individuals referred for clinical CAC scoring. Risk discrimination was measured using C-statistics.ResultsMean age was 57 years, 35% were women, and 39% had CAC of 0. There were 421 CHD and 775 CVD deaths over a mean 12-year follow-up. In the overall study population, discrimination with the MESA Risk Score with CAC and the PCE was almost identical for both outcomes (C-statistics: 0.80 and 0.79 for CHD death, 0.77 and 0.78 for CVD death, respectively). Addition of CAC to the PCE improved risk discrimination, yielding the largest C-statistics. The MESA Risk Score with CAC and the PCE plus CAC showed the best discrimination among the 45% of patients with 5% to 20% estimated risk. Secondary analyses by estimated CVD risk strata showed modestly improved risk discrimination with CAC also among low- and high-estimated risk groups.ConclusionsOur findings support the current guideline recommendation to use, among available risk scores, the PCE for initial risk assessment and to use CAC for further risk assessment in a broad borderline and intermediate risk group. Also, in select individuals at low or high estimated risk, CAC modestly improved discrimination. Studies in unselected populations will lead to further understanding of the potential value of tools combining risk scores and CAC for optimal risk assessment.     

Overall dietary variety and adherence to the Mediterranean diet show additive protective effects against coronary heart disease

Background and aimAlong with the increasing evidence of the cardioprotective effects of the Mediterranean Diet (MD), the scientific interest and advocacy of dietary variety as a potentially healthy eating habit gradually faded, until its complete oblivion in the latest European cardiovascular prevention guidelines. Our study aims to investigate whether dietary variety adds to the “Mediterranean-ness” of the diet in protecting against coronary heart disease (CHD).Methods and resultsIn this case–control Italian study, data on eating habits were collected from 178 patients with CHD and 155 healthy controls, primarily males, frequency matched for age and gender, using the Food Frequency Questionnaire (FFQ) of the European Prospective Investigation into Cancer and Nutrition. Adherence to MD was estimated from FFQ by the Mediterranean Diet Score (MDS), an index developed by Trichopoulou (2003) ranging from 0 to 9, with higher scores indicating a stricter adherence. Overall dietary variety was computed from FFQ as a count of single food items consumed at least once a month. Associations between MDS or overall dietary variety and coronary status were evaluated by logistic regression models adjusted for BMI, physical activity, smoking, education, and caloric intake; the Odds Ratio (OR) for CHD for each 1.5-point increase in MDS was 0.76 [IC 95% 0.59; 0.98], whereas the OR for CHD for each 15-item increase in dietary variety was 0.62 [IC 95% 0.46; 0.84]. Remarkably, adherence to MD and overall dietary variety were independently associated with a significantly reduced chance of CHD.ConclusionDietary Mediterranean-ness and overall dietary variety exhibit additive cardioprotective effects.     

Interplay of Risk Factors and Coronary Artery Calcium for CHD Risk in Young Patients

ObjectivesThe aim of this study was to examine prevalence, predictors, and impact of coronary artery calcium (CAC) across different risk factor burdens on the prevalence of obstructive coronary artery disease (CAD) and future coronary heart disease (CHD) risk in young patients.BackgroundThe interplay of risk factors and CAC for predicting CHD in young patients aged ≤45 years is not clear.MethodsThe study included 3,691 symptomatic patients (18-45 years of age) from the WDHR (Western Denmark Heart Registry) undergoing coronary computed tomographic angiography. CHD events were myocardial infarction and late revascularization.ResultsDuring a median of 4.1 years of follow-up, 57 first-time CHD events occurred. In total, 3,180 patients (86.1%) had CAC = 0 and 511 patients (13.9%) had CAC >0. Presence of CAC increased with number of risk factors (odds ratio: 4.5 [95% CI: 2.7-7.3] in patients with >3 vs 0 risk factors). The prevalence of obstructive CAD at baseline and the rate of future CHD events increased in a stepwise manner with both higher CAC and number of risk factors. The CHD event rate was lowest at 0.5 (95% CI: 0.1-3.6) per 1,000 person-years in patients with 0 risk factors and CAC = 0. Among patients with >3 risk factors, the event rate was 3.1 (95% CI: 1.0-9.7) in patients with CAC = 0 compared with 36.3 (95% CI: 17.3-76.1) in patients with CAC >10.ConclusionsIn young patients, there is a strong interplay between CAC and risk factors for predicting the presence of obstructive CAD and for future CHD risk. In the presence of risk factors, even a low CAC score is a high-risk marker. These results demonstrate the importance of assessing risk factors and CAC simultaneously when assessing risk in young patients.     

Cognitive Decline Before and After Incident Coronary Events

BackgroundPrevious studies have suggested that coronary heart disease (CHD) may be associated with accelerated cognitive decline. However, the temporal pattern of cognitive decline before and after incident CHD remains largely unknown.ObjectivesThe purpose of this study was to determine the cognitive trajectory before and after incident CHD diagnosis in a national representative cohort age ≥50 years.MethodsThis study included 7,888 participants (mean age 62.1 ± 10.2 years) with no history of stroke or incident stroke during follow-up from the English Longitudinal Study of Ageing. Participants underwent a cognitive assessment at baseline (wave 1, 2002 to 2003), and at least 1 other time point (from wave 2 [2004 to 2005] to wave 8 [2016 to 2017]). Incident CHD was identified as a diagnosis of myocardial infarction and/or angina during follow-up.ResultsIncident CHD was associated with accelerated cognitive decline during a median follow-up of 12 years. The annual rate of cognitive decline before CHD diagnosis among individuals who experienced incident CHD was similar to that of participants who remained CHD-free throughout follow-up. No short-term cognitive decline was observed in participants with CHD diagnosis after the event. In the years following CHD diagnosis, global cognition, verbal memory, and temporal orientation scores declined significantly faster than they did before the event, after multivariable adjustment. Sensitivity analyses yielded similar results.ConclusionsIncident CHD is associated with accelerated cognitive decline after, but not before, the event. Attention should be drawn to the long-term cognitive deterioration related to CHD. Careful monitoring of cognitive function is warranted in CHD patients in the years following the event.     

Diet-Derived Circulating Antioxidants and Risk of Coronary Heart Disease: A Mendelian Randomization Study

BackgroundPreviously, observational studies have identified associations between higher levels of dietary-derived antioxidants and lower risk of coronary heart disease (CHD), whereas randomized clinical trials showed no reduction in CHD risk following antioxidant supplementation.ObjectivesThe purpose of this study was to investigate possible causal associations between dietary-derived circulating antioxidants and primary CHD risk using 2-sample Mendelian randomization (MR).MethodsSingle-nucleotide polymorphisms for circulating antioxidants (vitamins E and C, retinol, β-carotene, and lycopene), assessed as absolute levels and metabolites, were retrieved from the published data and were used as genetic instrumental variables. Summary statistics for gene-CHD associations were obtained from 3 databases: the CARDIoGRAMplusC4D consortium (60,801 cases; 123,504 control subjects), UK Biobank (25,306 cases; 462,011 control subjects), and FinnGen study (7,123 cases; 89,376 control subjects). For each exposure, MR analyses were performed per outcome database and were subsequently meta-analyzed.ResultsAmong an analytic sample of 768,121 individuals (93,230 cases), genetically predicted circulating antioxidants were not causally associated with CHD risk. For absolute antioxidants, the odds ratio for CHD ranged between 0.94 (95% confidence interval [CI]: 0.63 to 1.41) for retinol and 1.03 (95% CI: 0.97 to 1.10) for β-carotene per unit increase in ln-transformed antioxidant values. For metabolites, the odds ratio ranged between 0.93 (95% CI: 0.82 to 1.06) for γ-tocopherol and 1.01 (95% CI: 0.95 to 1.08) for ascorbate per 10-fold increase in metabolite levels.ConclusionsEvidence from our study did not support a protective effect of genetic predisposition to high dietary-derived antioxidant levels on CHD risk. Therefore, it is unlikely that taking antioxidants to increase blood antioxidants levels will have a clinical benefit for the prevention of primary CHD.     

Coronary CT Angiography in Patients With Non-ST-Segment Elevation Acute Coronary Syndrome

BackgroundIn patients with non–ST-segment elevation acute coronary syndrome (NSTEACS), coronary pathology may range from structurally normal vessels to severe coronary artery disease.ObjectivesThe purpose of this study was to test if coronary computed tomography angiography (CTA) may be used to exclude coronary artery stenosis ≥50% in patients with NSTEACS.MethodsThe VERDICT (Very Early Versus Deferred Invasive Evaluation Using Computerized Tomography in Patients With Acute Coronary Syndromes) trial (NCT02061891) evaluated the outcome of patients with confirmed NSTEACS randomized 1:1 to very early (within 12 h) or standard (48 to 72 h) invasive coronary angiography (ICA). As an observational component of the trial, a clinically blinded coronary CTA was conducted prior to ICA in both groups. The primary endpoint was the ability of coronary CTA to rule out coronary artery stenosis (≥50% stenosis) in the entire population, expressed as the negative predictive value (NPV), using ICA as the reference standard.ResultsCoronary CTA was conducted in 1,023 patients—very early, 2.5 h (interquartile range [IQR]: 1.8 to 4.2 h), n = 583; and standard, 59.9 h (IQR: 38.9 to 86.7 h); n = 440 after the diagnosis of NSTEACS was made. A coronary stenosis ≥50% was found by coronary CTA in 68.9% and by ICA in 67.4% of the patients. Per-patient NPV of coronary CTA was 90.9% (95% confidence interval [CI]: 86.8% to 94.1%) and the positive predictive value, sensitivity, and specificity were 87.9% (95% CI: 85.3% to 90.1%), 96.5% (95% CI: 94.9% to 97.8%) and 72.4% (95% CI: 67.2% to 77.1%), respectively. NPV was not influenced by patient characteristics or clinical risk profile and was similar in the very early and the standard strategy group.ConclusionsCoronary CTA has a high diagnostic accuracy to rule out clinically significant coronary artery disease in patients with NSTEACS.     

Prognostic Implications of Plaque Characteristics and Stenosis Severity in Patients With Coronary Artery Disease

BackgroundAlthough the presence of ischemia is a key prognostic factor in patients with coronary artery disease, the presence of high-risk plaque characteristics (HRPC) is also associated with increased risk of cardiovascular events. Limited data exist regarding the prognostic implications of combined information on physiological stenosis severity assessed by fractional flow reserve (FFR) and plaque vulnerability by coronary computed tomography angiography (CTA)–defined HRPC.ObjectivesThe current study aimed to evaluate the: 1) association between physiological stenosis severity and coronary CTA-defined HRPC; and 2) prognostic implications of coronary CTA-defined HRPC according to physiological stenosis severity in patients with coronary artery disease.MethodsA total of 772 vessels (299 patients) evaluated by both coronary CTA and FFR were analyzed. The presence and number of HRPC (minimum lumen area <4 mm², plaque burden ≥70%, low attenuating plaque, positive remodeling, napkin-ring sign, or spotty calcification) were assessed using coronary CTA images. The risk of vessel-oriented composite outcome (VOCO) (a composite of vessel-related ischemia-driven revascularization, vessel-related myocardial infarction, or cardiac death) at 5 years was compared according to the number of HRPC and FFR categories.ResultsThe proportion of lesions with ≥3 HRPC was significantly decreased according to the increase in FFR values (58.6%, 46.5%, 36.8%, 15.7%, and 3.5% for FFR ≤0.60, 0.61 to ≤0.70, 0.71 to ≤0.80, 0.81 to ≤0.90, and >0.90, respectively; overall p value <0.001). Both FFR and number of HRPC showed significant association with the estimated risk of VOCO (p = 0.008 and p = 0.023, respectively). In the FFR >0.80 group, lesions with ≥3 HRPC showed significantly higher risk of VOCO than those with <3 HRPC (15.0% vs. 4.3%; hazard ratio: 3.964; 95% confidence interval: 1.451 to 10.828; p = 0.007). However, there was no significant difference in the risk of VOCO according to HRPC in the FFR ≤0.80 group. By multivariable analysis, the presence of ≥3 HRPC was independently associated with the risk of VOCO in the FFR >0.80 group.ConclusionsPhysiological stenosis severity and the number of HRPC were closely related, and both components had significant association with the risk of clinical events. However, the prognostic implication of HRPC was different according to FFR. Integration of both physiological stenosis severity and plaque vulnerability would provide better prognostic stratification of patients than either individual component alone, especially in patients with FFR >0.80. (Clinical Implication of 3-vessel Fractional Flow Reserve [3V FFR-FRIENDS study]; NCT01621438)     

Radiomics-Based Precision Phenotyping Identifies Unstable Coronary Plaques From Computed Tomography Angiography

ObjectivesThe aim of this study was to precisely phenotype culprit and nonculprit lesions in myocardial infarction (MI) and lesions in stable coronary artery disease (CAD) using coronary computed tomography angiography (CTA)-based radiomic analysis.BackgroundIt remains debated whether any single coronary atherosclerotic plaque within the vulnerable patient exhibits unique morphology conferring an increased risk of clinical events.MethodsA total of 60 patients with acute MI prospectively underwent coronary CTA before invasive angiography and were matched to 60 patients with stable CAD. For all coronary lesions, high-risk plaque (HRP) characteristics were qualitatively assessed, followed by semiautomated plaque quantification and extraction of 1,103 radiomic features. Machine learning models were built to examine the additive value of radiomic features for discriminating culprit lesions over and above HRP and plaque volumes.ResultsCulprit lesions had higher mean volumes of noncalcified plaque (NCP) and low-density noncalcified plaque (LDNCP) compared with the highest-grade stenosis nonculprits and highest-grade stenosis stable CAD lesions (NCP: 138.1 mm³ vs 110.7 mm³ vs 102.7 mm³; LDNCP: 14.2 mm³ vs 9.8 mm³ vs 8.4 mm³; both P_trend < 0.01). In multivariable linear regression adjusted for NCP and LDNCP volumes, 14.9% (164 of 1,103) of radiomic features were associated with culprits and 9.7% (107 of 1,103) were associated with the highest-grade stenosis nonculprits (critical P < 0.0007) when compared with highest-grade stenosis stable CAD lesions as reference. Hierarchical clustering of significant radiomic features identified 9 unique data clusters (latent phenotypes): 5 contained radiomic features specific to culprits, 1 contained features specific to highest-grade stenosis nonculprits, and 3 contained features associated with either lesion type. Radiomic features provided incremental value for discriminating culprit lesions when added to a machine learning model containing HRP and plaque volumes (area under the receiver-operating characteristic curve 0.86 vs 0.76; P = 0.004).ConclusionsCulprit lesions and highest-grade stenosis nonculprit lesions in MI have distinct radiomic signatures compared with lesions in stable CAD. Within the vulnerable patient may exist individual vulnerable plaques identifiable by coronary CTA-based precision phenotyping.     

Changes in Myocardial Native T1 and T2 After Exercise Stress: A Noncontrast CMR Pilot Study

ObjectivesThis study assessed changes in myocardial native T₁ and T₂ values after supine exercise stress in healthy subjects and in patients with suspected ischemia as potential imaging markers of ischemia.BackgroundWith emerging data on the long-term retention of gadolinium in the body and brain, there is a need for an alternative noncontrast cardiovascular magnetic resonance (CMR)−based myocardial ischemia assessment.MethodsTwenty-eight healthy adult subjects and 14 patients with coronary artery disease (CAD) referred for exercise stress and/or rest single-photon emission computed tomography/myocardial perfusion imaging (SPECT/MPI) for evaluation of chest pain were prospectively enrolled. Free-breathing myocardial native T₁ and T₂ mapping were performed before and after supine bicycle exercise stress using a CMR-compatible supine ergometer positioned on the MR table. Differences in T_{1 rest}, T_{2 rest} and T_{1 post-exercise}, T_{2 post-exercise} values were calculated as T₁ and T₂ reactivity, respectively.ResultsThe mean exercise intensity was 104 W, with exercise duration of 6 to 12 min. After exercise, native T₁ was increased in healthy subjects (p < 0.001). T₁ reactivity, but not T₂ reactivity, correlated with the rate−pressure product as the index of myocardial blood flow during exercise (r = 0.62; p < 0.001). In patients with CAD, T₁ reactivity was associated with the severity of myocardial perfusion abnormality on SPECT/MPI (normal: 4.9%; quartiles: 3.7% to 6.3%, mild defect: 1.2%, quartiles: 0.08% to 2.5%; moderate defect: 0.45%, quartiles: −0.35% to 1.4%; severe defect: 0.35%, quartiles: −0.44% to 0.8%) and had similar potential as SPECT/MPI to detect significant CAD (>50% diameter stenosis on coronary angiography). The area under the receiver-operating characteristic curve was 0.80 versus 0.72 (p = 0.40). The optimum cutoff value of T₁ reactivity for predicting flow-limiting stenosis was 2.5%, with a sensitivity of 83% and a specificity of 92%, a negative predictive value of 96%, a positive predictive value of 71%, and an area under the curve of 0.86.ConclusionsFree-breathing stress/rest native T₁ mapping, but not T₂ mapping, can detect physiological changes in the myocardium during exercise. Our feasibility study in patients shows the potential of this technique as a method for detecting myocardial ischemia in patients with CAD without using a pharmacological stress agent.     

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.     

Machine Learning Adds to Clinical and CAC Assessments in Predicting 10-Year CHD and CVD Deaths

ObjectivesThe aim of this study was to evaluate whether machine learning (ML) of noncontrast computed tomographic (CT) and clinical variables improves the prediction of atherosclerotic cardiovascular disease (ASCVD) and coronary heart disease (CHD) deaths compared with coronary artery calcium (CAC) Agatston scoring and clinical data.BackgroundThe CAC score provides a measure of the global burden of coronary atherosclerosis, and its long-term prognostic utility has been consistently shown to have incremental value over clinical risk assessment. However, current approaches fail to integrate all available CT and clinical variables for comprehensive risk assessment.MethodsThe study included data from 66,636 asymptomatic subjects (mean age 54 ± 11 years, 67% men) without established ASCVD undergoing CAC scanning and followed for cardiovascular disease (CVD) and CHD deaths at 10 years. Clinical risk assessment incorporated the ASCVD risk score. For ML, an ensemble boosting approach was used to fit a predictive classifier for outcomes, followed by automated feature selection using information gain ratio. The model-building process incorporated all available clinical and CT data, including the CAC score; the number, volume, and density of CAC plaques; and extracoronary scores; comprising a total of 77 variables. The overall proposed model (ML all) was evaluated using a 10-fold cross-validation framework on the population data and area under the curve (AUC) as metrics. The prediction performance was also compared with 2 traditional scores (ASCVD risk and CAC score) and 2 additional models that were trained using all the clinical data (ML clinical) and CT variables (ML CT).ResultsThe AUC by ML all (0.845) for predicting CVD death was superior compared with those obtained by ASCVD risk alone (0.821), CAC score alone (0.781), and ML CT alone (0.804) (p < 0.001 for all). Similarly, for predicting CHD death, AUC by ML all (0.860) was superior to the other analyses (0.835 for ASCVD risk, 0.816 for CAC, and 0.827 for ML CT; p < 0.001).ConclusionsThe comprehensive ML model was superior to ASCVD risk, CAC score, and an ML model fitted using CT variables alone in the prediction of both CVD and CHD death.