Non invasive assessment of right ventricle in patients with operated tetralogy of Fallot

The objective of this study was to evaluate right ventricular function in patients with right ventricular volume overload in patients with (tetralogy of Fallot, and pulmonary atresia + VSD ) underwent corrective surgery; with echocardiography measure that can be easily applied; and to study the relationship between ProBNP and the contractile function of the right ventricle, dilated right atrium, and the consequences of pulmonary insufficiency . Methods: The study included 50 patients (50% males, mean age 30.64 ± 13.30 years) with prior cardiac surgical intervention of TDF (90%) or pulmonary atresia + VSD (10%). (49 pz) have performed a cardiac MRI and clinical evaluation, (47 pz) echocardiogram, (48 pz) ECG, (34 pz) a cardiopulmonary exercise testing, (29 pz) a dosage of ProBNP. Results: The S-wave velocity (p <0.0001), the TAPSE (p <0.0001) correlated significantly with RVEF estimated by cardiac MRI. The VO2 max was 27.93 ± 12.91 ml / kg / min, 15% of patients had VE/VCO2 The peak> 35. ProBNP correlated positively and significantly with the area of the right atrium (p = 0.0001), and negative and significant with VO2 max (p = 0.04). Those who have increased pulmonary insufficiency (PVR fraction> 30%) have a significantly increased RVED volume (p = 0.01), reduced VO2 max (p = 0.04), and lower ejection fraction of LV (p = 0.02) than the group of patients with PVR ≤ 30. Conclusion: The TAPSE and S-wave velocity are fundamental and may become the technique of choice for routine assessment of RV systolic function in adult patients with TOF. The monitoring of the Pro BNP is probably a choice, given the simplicity and their information that correlate with the test cardiopulmonary. In view of the ventricular-ventricular interaction, so measures to maintain or restore the functioning of the pulmonary valve could preserve biventricular function.

L'Amiloidosi transtiretino correlata ereditaria: profilo clinico, fisiopatologico e storia naturale

Background. Hereditary transthyretin (TTR)-related amyloidosis (ATTR) is mainly considered a neurologic disease. We assessed the phenotypic and genotypic spectrum of ATTR in a non-endemic, Caucasian area and evaluated prevalence, genetic background and disease profile of cases with an exclusively cardiac phenotype, highlighting possible hints for the differential diagnosis with hypertrophic cardiomyopathy (HCM) and senile systemic amyloidosis (SSA) Methods and Results. In this Italian multicenter study, 186 patients with ATTR were characterized at presentation. Thirty patients with SSA and 30 age-gender matched HCM patients were used for comparison. Phenotype was classified as: exclusively cardiac (n= 31, 17%), exclusively neurologic (n= 46, 25%), mixed cardiac/neurologic (n=109, 58%). Among the 8 different mutations responsible for an exclusively cardiac phenotype, Ile68Leu was the most frequent (23/31). Five patients with an exclusively cardiac phenotype developed mild abnormalities at neurological examination but no symptoms during a 36 [14−50] month follow-up. Exclusively cardiac phenotype was characterized by male gender, age > 65 years, heart failure symptoms, concentric left ventricular (LV) “hypertrophy” and moderately depressed LV ejection fraction. This profile was similar to SSA but relatively distinct from HCM. Compared to patients with a mixed phenotype, patients with a exclusively cardiac phenotype showed a more pronounced cardiac involvement on both echocardiogram and ECG. Conclusion. A clinically relevant subset of Caucasian ATTR patients present with an exclusively cardiac phenotype, mimicking HCM or SSA. Echocardiographic and ECG findings are useful to differentiate ATTR from HCM but not from SSA. The role of liver transplantation in these patients is questionable.

A simple voltage/mass index increases the suspicion of amyloidotic cardiomyopathy: an electrocardiographic and echocardiographic study of 767 patients with increased left ventricular wall thickness due to different causes

Background-Amyloidotic cardiomyopathy (AC) can mimic true left ventricular hypertrophy (LVH), including hypertrophic cardiomyopathy (HCM) and hypertensive heart disease (HHD). We assessed the diagnostic value of combined electrocardiographic/echocardiographic indexes to identify AC among patients with increased echocardiographic LV wall thickness due to either different etiologies of amyloidosis or HCM or HHD. Method-First, we studied 469 consecutive patients: 262 with biopsy/genetically proven AC (with either AL or transthyretin (TTR)-related amyloidosis); 106 with HCM; 101 with HHD. We compared the diagnostic performance of: low QRS voltage, symmetric LVH, low QRS voltage plus interventricular septal thickness >1.98 cm, Sokolow index divided by the cross-sectional area of LV wall, Sokolow index divided by body surface area indexed LV mass (LVMI), Sokolow index divided by LV wall thickness, Sokolow index divided by (LV wall/height^2.7); peripheral QRS score divided by LVMI, Peripheral QRS score divided by LV wall thickness, Peripheral QRS score divided by LV wall thickness indexed to height^2.7, total QRS score divided by LVMI, total QRS score divided by LV wall thickness; total QRS score divided by (LV wall/height^2.7). We tested each criterion, separately in males and females, in the following settings: AC vs. HCM+HHD; AC vs. HCM; AL vs. HCM+HHD; AL vs. HCM; TTR vs. HCM+HHD; TTR vs. HCM. Results-Low QRS voltage showed high specificity but low sensitivity for the identification of AC. All the combined indexes had a higher diagnostic accuracy, being total QRS score divided by LV wall thickness or by LVMI associated with the best performances and the largest areas under the ROC curve. These results were validated in 298 consecutive patients with AC, HCM or HHD. Conclusions-In patients with increased LV wall thickness, a combined ECG/ echocardiogram analysis provides accurate indexes to non-invasively identify AC. Total QRS score divided by LVMI or LV wall thickness offers the best diagnostic performance.

Development and validation of an echocardiography score for diagnosis of cardiac masses

Background Echocardiography is the cornerstone in the evaluation of cardiac masses and provides accurate characterization. Despite, its accuracy in diagnosis of cardiac masses (CM) remains challenging and, up to date, no validated diagnostic algorithm is validated. Purpose The aim of our study was to evaluate the diagnostic accuracy of echocardiography, to identify the echocardiographic predictors of malignancy and to develop and then validate a multiparametric echocardiographic score that could be used to estimate the likelihood of the histological nature of a CM. Materials and methods The final sample consisted of 273 consecutive patients who had a 2D-echocardiographic evaluation and a histologic diagnosis. Logistic regression was performed to evaluate the ability of echocardiographic findings to discriminate benign versus malignant masses, then a scoring system was developed and validated in a separate test cohort. Results Of the 322 patients initially included in the Bologna Cardiac Masses Registry, 13 with a poor acoustic window, 27 with no histological examination patients and 9 extra-cardiac masses were excluded. In the remaining 273 patients, classical 2-D echocardiogram identified 249 masses with a diagnostic accuracy of 88%. A weighted score [Diagnostic Echocardiographic Mass (DEM) Score] ranging from 0 to 9 was obtained from 6 variables: infiltration, polylobate mass, moderate-severe pericardial effusion. The AUC for the score was 0.965 (95% CI [0.938-0.993]). In a logistic regression analysis using the DEM score as a predictor, the likelihood of malignant CM increased more than 4 times for a 1-unit increase in the score (OR=4.468; 95% CI 2.733-7.304). A score < 3 denoted a high probability of a benign diagnosis, and a score ≥ 5 points corresponded to a higher risk of malignancy. Conclusion 2D-Echocardiography provides a high diagnostic accuracy in identifying cardiac masses and our multiparametric echocardiographic score could be useful to predict the histological nature of cardiac masses.