Search

Background: Myocarditis have variable clinical presentation, evolution and prognosis. Aim of our study was to evaluate the value of speckle tracking echocardiography and cardiac magnetic resonance (CMR) in the short‐term prediction of supraventricular arrhythmias (SVA) in patients with acute myocarditis. Methods: Seventy patients (mean age 31±14 years old) with acute myocarditis and preserved left ventricular ejection fraction (LVEF) were enrolled. Longitudinal systolic strain (LS) of the left ventricle (LV), mechanical dispersion (MD) and CMR with quantitative measurement of delayed enhancement (DE) were performed in a subset of 43 patients. Logistic regression and ROC analysis were used to identify predictors of SVA Results: Only LS measured at sup‐epicardial, mid‐wall and sub‐endocardial level of the apical 4‐chamber view was significantly lower in patients with SVA, while MD was marginally prolonged in this setting. A value of LS > ‐ 16.1% measured at LV mid‐wall in the apical 4‐chamber view (ROC‐AUC.75, Sensitivity 63%, Specificity 85%) was the most accurate measure to identify patients with SVA. DE mass was also helpful with a ROC‐AUC.76; a DE‐Mass > 18.9 gr. had a Sensitivity 63% and a Specificity 77%, to identify patients at risk of SVA. Conclusions: Both DE mass and LS were associated with higher risk of SVA in patients with acute myocarditis and preserved LVEF. However, LS measured at the mid‐wall level and limited to LV segments included in the apical 4‐chamber view was the most accurate measure and did not show interaction with DE mass. [ABSTRACT FROM AUTHOR]

Objectives: To analyze left ventricular (LV) myocardial deformation and contractile reserve (CR) in asymptomatic patients with severe aortic regurgitation (AR) at rest and during exercise, and their correlation with functional capacity. Background: The natural history of chronic AR is characterized by a prolonged silent phase before onset of symptoms and overt LV dysfunction. Assessment of LV systolic function and contractile reserve has an important role in the decision‐making of AR asymptomatic patients. Methods: Standard echo, lung ultrasound, and LV 2D speckle tracking strain were performed at rest and during exercise in asymptomatic patients with severe AR and in age‐ and sex‐comparable healthy controls. Results: 115 AR patients (male sex 58.2%; 52.3 ± 18.3 years) and 55 controls were enrolled. Baseline LV ejection fraction was comparable between the groups. Resting LV global longitudinal strain (GLS) and myocardial work efficiency (MWE) were significantly reduced in AR (GLS‐15.8 ± 2.8 vs −21.4 ± 4.4; P <.001). Patients with AR and CR− showed reduced resting LV GLS and MWE and increased B‐lines. MWE was closely related to peak effort watts, VO2, LV E/e′, and B‐lines, at a multivariable analysis. Both GLS and MWE were strong independent predictors of CR. A resting LV GLS cutoff of −12% differentiated CR+ and CR− (78% sensitivity and 84% specificity). Conclusions: The lower resting values of LV GLS and MWE in severe AR asymptomatic patients suggest an early subclinical myocardial damage that seems to be closely associated with lower exercise capacity, greater pulmonary congestion, and blunted LV contractile reserve during stress. [ABSTRACT FROM AUTHOR]

We assessed whether macrophage colony-stimulating factor (M-CSF) levels are associated with left ventricular systolic dysfunction (LVSD) in patients with acute myocardial infarction (AMI). We studied 56 patients with AMI (mean age: 67 ± 12 years) and identified those with clinical (Killip class >II) or echocardiographic signs (ejection fraction ≤45%) of LVSD. We evaluated the established cardiovascular risk factors and measured several cardiovascular biomarkers, including M-CSF. Serum M-CSF concentrations (pg/mL) were significantly increased in patients with both clinical and echocardiographic signs of LVSD (460 ± 265 vs 290 ± 210, P = .0103 and 493 ± 299 vs 287 ± 174, P = .0028, respectively). We found a significant inverse association between M-CSF and ejection fraction (r = −.351, P = .0079). Logistic regression analysis revealed that, among all evaluated clinical and biochemical parameters, the stronger predictor of LVSD was M-CSF (odds ratios 2.1, 95% confidence interval 1.1-2.9, P = .0168). This is the first study reporting plasma M-CSF levels as independent determinants of low LV ejection fraction and clinical LV dysfunction in patients with AMI. [ABSTRACT FROM PUBLISHER]