Association of Coronary Artery Atherosclerosis With Brain White Matter Hyperintensity

Background and Purpose: We aim to determine, in healthy high-risk adults, the association between subclinical coronary artery disease and white matter hyperintensity (WMH) volume and location, independent of atherosclerotic risk factors. Methods: Seven hundred eighty-two asymptomatic first-degree relatives of index cases with early-onset coronary artery disease (<60 years old) from GeneSTAR (Genetic Study of Atherosclerosis Risk) with contemporaneous coronary computed tomography angiography and brain magnetic resonance imaging were analyzed. Multilevel mixed-effects linear regression models, accounting for family structure, evaluated the association of total WMH volume and 3 regions (deep WMH, periventricular WMH [PVWMH], or borderzone [cuff]) with markers of coronary artery disease. Separate models were created for total WMH, deep WMH, PVWMH, and cuff volumes, each, as dependent variables, across coronary computed tomography angiography variables, adjusted for covariates. Results: Mean age was 51 years ±10, with 58% women and 39% African American people. Participants with any coronary plaque had 52% larger WMH volumes than those without plaque (95% CI, 0.24–0.59). Per 1% greater coronary plaque volume, total WMH volumes were 0.07% larger (95% CI, 0.04–0.10). Every 1% higher total coronary plaque volume was associated with 5.03% larger deep WMH volume (95% CI, 4.67–5.38), 5.10% PVWMH larger volume (95% CI, 4.72–5.48), and 2.74% larger cuff volume (95% CI, 2.38–3.09) with differences in this association when comparing deep WMH to PVWMH ( P interaction, 0.001) or cuff ( P interaction, <0.001), respectively. Conclusions: In healthy, high-risk individuals, the presence and volume of coronary artery plaque are associated with larger WMH volumes, appearing the strongest for PVWMH. These findings in high-risk families suggest a disease relationship in 2 different vascular beds, beyond traditional risk factors, possibly due to genetic predisposition.

Quantified coronary plaque volume provides superior risk stratification up to 10 years

Background Automated plaque quantification derived from coronary CT angiogragphy datasets provides exact and reliable assessment of coronary atherosclerosis burden. Purpose To investigate the potential for category based reclassification of patients based upon quantified coronary plaque volume in patients with 10 years of follow-up. Methods Coronary PV was quantified with dedicated software in 1577 patients with suspected coronary artery disease. Cardiac death and acute coronary syndrome were defined as endpoint. Patients were initially classified as low, intermediate or high risk based upon the Morise score. Quantified PV was used to reclassify patients as shown in Figure 1 Panel A. The applied cutoffs (PV=0, PV0–110.5 mm3 and PV&gt;110.5mm3) were established by previous work of our group. Categorical net reclassification improvement was used to compare the initial and updated patient stratification. Results Patients were followed for 10.4 years. The combined endpoint occurred in 59 patients, of whom 36 suffered from cardiac death, 18 had non-fatal myocardial infarction and 5 presented with unstable angina requiring recascularisation. The Morise score classified the majority of patients as intermediate risk patients (71%) and smaller proportions as low risk (21.9%) or high risk (7.1%). Quantified PV based reclassification resulted in reclassification of 800 (51%) patients. Of those, the majority was classified into a lower risk category (n=502). Calculation of the categorical NRI proved a significantly superior risk stratification when compared to the initial risk groups (0.48 with 95% CI 0.13 and 0.68, p&lt;0.001). The reclassification matrix is shown in Figure 1 Panel B. After reclassification, the estimated 10-year event rates for low, intermediate and high risk patients were 0.6% (95% CI 0 and 1.3%), 4.8% (95% CI 2.4 and 7.2%) and 11.3% (95% CI 6.6 and 13.9%) respectively. Conclusion Quantified coronary PV permits an effective and useful approach to reclassify patients with suspected coronary artery disease into superior risk categories. Funding Acknowledgement Type of funding source: None

Preliminary Pilot Study of Combined Effects of Physical Activity and Achievement of LDL-Cholesterol Target on Coronary Plaque Volume Changes in Patients with Acute Coronary Syndrome

Background: We investigated the combined effects of physical activity (PA) and aggressive low-density lipoprotein cholesterol (LDL-C) reduction on the changes in coronary plaque volume (PV) in patients with acute coronary syndrome (ACS) using volumetric intravascular ultrasound (IVUS) analysis. Methods: We retrospectively analyzed data from two different prospective clinical trials that involved 101 ACS patients who underwent percutaneous coronary intervention (PCI) and assessed the non-culprit sites of PCI lesions using IVUS at baseline and at the follow-up. After PCI, all the patients participated in early phase II comprehensive cardiac rehabilitation. Patients were divided into four groups based on whether the average daily step count, measured using a pedometer, was 7000 steps of more and whether the follow-up LDL-C level was <70 mg/dL. At the time of follow-up, we examined the correlation of changes in the PV with LDL-C and PA. Results: The baseline characteristics of the four study groups were comparable. At the follow-up, plaque regression in both the achievement group (PA and LDL-C reduction) was higher than that in the other three groups. In addition, plaque reduction independently correlated with increased PA and reduction in LDL-C level. Conclusions: Combined therapy of intensive PA and achievement of LDL-C target retarded coronary PV in patients with ACS.

P3380Longitudinal assessment of coronary atherosclerosis according to baseline and changes of serum hemoglobin level

Introduction Little is known regarding the impact of serum hemoglobin level changes (Δ hemoglobin) on coronary plaque volume. This study evaluated the association between Δ hemoglobin and coronary plaque volume change (PVC) using serial coronary computed tomographic angiography (CCTA). Methods A total of 830 subjects (61±10 years, 51.9% male) who underwent serial CCTA with available hemoglobin levels were analyzed from the Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography IMaging (PARADIGM) registry. The median inter-scan period was 3.2 (2.5 to 4.4) years. Quantitative assessment of coronary plaques was performed at both scans. All participants were stratified into four groups based on the quartile of baseline hemoglobin levels. Annualized PVC was defined as total PVC divided by inter-scan period. Plaque progression (PP) was defined as plaque volume at follow-up minus plaque volume at index >0. Results Baseline total plaque volume (mm3) was not different among all groups (group I [lowest]: 34.1 (0.0–127.4) vs. group II: 28.8 (0.0–123.0) vs. group III: 49.9 (5.6–135.0) vs. group IV [highest]: 34.3 (0.0–130.7); p=0.235). During follow-up, Δ hemoglobin was related to annualized PVC (β:−0.114; p=0.001) and PP (odds ratio: 0.868; 95% confidence interval: 0.770–0.978; p=0.020). Multiple linear regression models showed that Δ hemoglobin significantly impacted on annualized PVC in only the composite of I and II groups. Conclusion Based on serial CCTA findings, Δ hemoglobin independently impacted on coronary PVC in individuals with low to normal baseline hemoglobin level.