👤 Tomas Robyns

Ageing endurance athletes have a higher prevalence of coronary artery disease (CAD) on coronary CT angiography (CCTA) than healthy controls, despite similarly low conventional cardiovascular risk. The predictive value of lipoprotein(a) [Lp(a)] for CAD in these low-risk individuals remains unclear. The Master@Heart study included 558 men (aged 45-70 years) without known cardiovascular risk factors: 191 lifelong athletes, 191 late-onset athletes, and 176 healthy controls. CCTA assessed coronary artery calcification (CAC) and plaques. The association between Lp(a) and subclinical CAD was assessed using logistic regression analysis to estimate odds ratios (ORs), adjusted for cardiovascular risk factors. Lp(a) was analysed dichotomously (<125 vs. >125 nmol/L) and continuously (per 10 nmol/L increase). 76 participants (13.6%) had elevated Lp(a) levels (>125 nmol/L). Elevated Lp(a) was significantly associated with age-specific CAC percentile≥75 (OR 1.80, p=0.049) and ≥1 mixed plaque (OR 1.76, p=0.046). Other CAD measures all tended to be more prevalent in those with elevated Lp(a). In the continuous analysis, Lp(a) was significantly associated with CAC>100 (OR 1.03, p=0.045), CAC percentile≥75 (OR 1.04, p=0.014), and ≥1 mixed or non-calcified plaque (OR 1.03, p=0.029).Lp(a) and prevalence of elevated Lp(a) were similar across lifelong athletes, late-onset athletes, and controls (p=0.586 and p=0.724, respectively). No significant interaction was found between Lp(a) and the exercise groups in predicting CAD. Lp(a) is independently associated with subclinical CAD in ageing endurance athletes and healthy controls, despite similarly low conventional cardiovascular risk. Lp(a) does not explain the higher CAD prevalence in lifelong athletes compared to controls, but may enhance risk stratification in this low-risk population. Show less

Knowledge on the influence of specific genotypes on the phenotypic expression of hypertrophic cardiomyopathy (HCM) is emerging. The objective of this study was to evaluate the genotype-phenotype relation in HCM patients and to construct a score to predict the genetic yield based to improve counseling. Unrelated HCM patients who underwent genetic testing were included in the analysis. Multivariate logistic regression was performed to identify variables that predict a positive genetic test. A weighted score was constructed based on the odds ratios. In total, 378 HCM patients were included of whom 141 carried a mutation (global yield 37%), 181 were mutation negative and 56 only carried a variant of unknown significance. We identified age at diagnosis <45 years, familial HCM, familial sudden death, arrhythmic syncope, maximal wall thickness ≥20 mm, asymmetrical hypertrophy and the absence of negative T waves in the lateral ECG leads as significant predictors of a positive genetic test. When we included these values in a risk score we found very high correlation between the score and the observed genetic yield (Pearson r = 0.98). MYBPC3 mutation carriers more frequently suffered sudden cardiac death compared to troponin complex mutations carriers (p = 0.01) and a similar trend was observed compared to MYH7 mutation carriers (p = 0.08) and mutation negative patients (p = 0.11). To conclude, a simple score system based on clinical variables can predict the genetic yield in HCM index patients, aiding in counseling HCM patients. MYBPC3 mutation carriers had a worse outcome regarding sudden cardiac death. Show less