Abstract Background In patients with chronic angina-like chest pain, the probability of coronary artery disease (CAD) is estimated by symptoms, age, and sex according to the Genders clinical model. ...We investigated the incremental value of circulating biomarkers over the Genders model to predict functionally significant CAD in patients with chronic chest pain. Methods In 527 patients (60.4 years, standard deviation, 8.9 years; 61.3% male participants) enrolled in the European Ev aluation of In tegrated Cardiac I maging (EVINCI) study, clinical and biohumoral data were collected. Results Functionally significant CAD—ie, obstructive coronary disease seen at invasive angiography causing myocardial ischemia at stress imaging or associated with reduced fractional flow reserve (FFR < 0.8), or both—was present in 15.2% of patients. High-density lipoprotein (HDL) cholesterol, aspartate aminotransferase (AST) levels, and high-sensitivity C-reactive protein (hs-CRP) were the only independent predictors of disease among 31 biomarkers analyzed. The model integrating these biohumoral markers with clinical variables outperformed the Genders model by receiver operating characteristic curve (ROC) (area under the curve AUC, 0.70 standard error (SE), 0.03 vs 0.58 SE, 0.03, respectively, P < 0.001) and reclassification analysis (net reclassification improvement, 0.15 SE, 0.07; P = 0.04). Cross-validation of the ROC analysis confirmed the discrimination ability of the new model (AUC, 0.66). As many as 56% of patients who were assigned to a higher pretest probability by the Genders model were correctly reassigned to a low probability class (< 15%) by the new integrated model. Conclusions The Genders model has a low accuracy for predicting functionally significant CAD. A new model integrating HDL cholesterol, AST, and hs-CRP levels with common clinical variables has a higher predictive accuracy for functionally significant CAD and allows the reclassification of patients from an intermediate/high to a low pretest likelihood of CAD.
Assessment and Significance of Left Ventricular Mass by Cardiovascular Magnetic Resonance in Hypertrophic Cardiomyopathy Iacopo Olivotto, Martin S. Maron, Camillo Autore, John R. Lesser, Luigi Rega, ...Giancarlo Casolo, Marcello De Santis, Giovanni Quarta, Stefano Nistri, Franco Cecchi, Carol J. Salton, James E. Udelson, Warren J. Manning, Barry J. Maron, Left ventricular (LV) mass was assessed by cardiovascular magnetic resonance in 264 patients with hypertrophic cardiomyopathy (HCM), and compared with LV mass in 606 healthy control subjects. The LV mass index in HCM patients significantly exceeded that of control subjects, but was within normal range in 56 patients (21%), and only mildly increased in 18 (16%). Left ventricular mass was weakly related to maximal LV thickness (r2 = 0.38; p < 0.001). During follow-up, markedly increased LV mass index proved a more sensitive predictor of outcome than extreme maximal wall thickness. In distinction to prior perceptions, increased LV mass is not required to establish the clinical diagnosis of HCM.
Novel high-sensitivity assay can detect very low levels of circulating cardiac troponin (hs-cTnT) in apparently healthy subjects. Within normal range, higher levels are associated with coronary ...artery disease (CAD) and cardiac abnormalities commonly associated to traditional risk factors (RFs) for CAD. Therefore, we investigated the relation between circulating hs-cTnT and CAD in patients with a spectrum of RF burden aiming to assess the added value of hs-cTnT to identify “outlier” patients with CAD despite a low RF burden. Hs-cTnT was measured in 525 stable patients without previous diagnosis of ischemic heart disease with 0 to 1 RF, excluded diabetes, (low-RF group, n = 263) or ≥2 RFs (multiple-RF group, n = 262) and without CAD (segment involvement score = 0) or diffuse CAD (segment involvement score >5) at coronary computed tomography angiography. Outlier patients with diffuse CAD despite low-RF burden had similar extent, severity, and plaque composition than patients with multiple RFs. Overall, hs-cTnT was measurable in 81% of patients with median value of 6.0 ng/L. In both groups, hs-cTnT concentration was higher in patients with CAD than in patients with normal coronary arteries (p <0.0001). Hs-cTnT was more accurate to detect patients with CAD in the low-RF group than in the multiple-RF group (p = 0.04). In multivariate analysis, higher level of hs-cTnT (>6 ng/L) was independently associated with CAD in low-RF group only. Despite very low circulating concentrations, hs-cTnT may identify with a good accuracy the outlier patients with diffuse CAD despite low-RF burden.
Abstract Objectives The authors performed a meta-analysis to evaluate the predictive value of late gadolinium enhancement (LGE) cardiac magnetic resonance for ventricular tachyarrhythmia in ischemic ...cardiomyopathy (ICM) and nonischemic cardiomyopathy (NICM) patients with ventricular dysfunction. Background The use of LGE to detect myocardial fibrosis and its related arrhythmic substrate is well established. Several recent studies have described the predictive value of LGE for ventricular tachyarrhythmias; however, their validity is limited by small sample size and low number of events. Methods MEDLINE and the Cochrane Library electronic databases were systematically searched to identify studies that applied LGE in ICM and NICM patients with ventricular dysfunction and reported arrhythmic clinical outcomes (sudden death, aborted sudden death, ventricular tachycardia, ventricular fibrillation, and appropriate implantable cardioverter-defibrillator ICD therapy, including antitachycardia pacing). A meta-analysis was performed to determine pooled odds ratios (ORs) for these arrhythmic events. Results Nineteen studies that evaluated 2,850 patients with 423 arrhythmic events over a mean/median follow-up of 2.8 years were identified. The composite arrhythmic endpoint was reached in 23.9% of patients with a positive LGE test (annualized event rate of 8.6%) versus 4.9% of patients with a negative LGE test (annualized event rate of 1.7%; p < 0.0001). LGE correlated with arrhythmic events in the different patient groups. In the overall population, the pooled OR was 5.62 (95% confidence interval CI: 4.20 to 7.51), with no significant differences between ICM and NICM patients. In a subgroup of 11 studies (1,178 patients) with mean ejection fraction (EF) ≤30%, the pooled OR for the arrhythmic events increased to 9.56 (95% CI: 5.63 to 16.23), with a negative likelihood ratio of 0.13 (95% CI: 0.06 to 0.30). Conclusions LGE is a powerful predictor of ventricular arrhythmic risk in patients with ventricular dysfunction, irrespective of ICM and NICM etiology. The prognostic power of LGE is particularly strong in patients with severely depressed EF, which suggests its potential to improve patient selection for ICD implantation.
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