Objectives: We sought to assess the impact of echocardiographic and hemodynamic grading of paravalvular leakage (PVL) after transcatheter aortic valve implantation (TAVI) on the prediction of 5‐year mortality. PVL after TAVI is known to influence outcome after TAVI. Yet, present available data of long‐term outcomes and especially the comparison of different modalities for measurement of PVL is little.Methods: We performed a retrospective single‐center cohort study and compared the prognostic value of echocardiographic PVL grading as well as the aortic regurgitation index (ARI) pre‐ and post‐TAVI. Univariable and multivariable Cox proportional regression analysis generated hazard ratios for mortality.Results: A total of 464 patients underwent TAVI at our center between August 2012 and Decemebr 2014, with self‐expandable CoreValve (11%) or balloon‐expandable Sapien XT (47.4%) and Sapien 3 (41.6) valves. Overall 5‐year mortality was 52.4% (243/464). Echocardiographic classes of PVL at discharge showed a significant (p = 0.002) association with 5‐year mortality, mild PVL remained as an independent predictor for 5‐year mortality in multivariable analysis (hazard ratio: 1.642 [95% confidence interval: 1.235–2.182]; p = 0.001). Grades of PVL as assessed during the procedure by ARI (below the previously defined cut‐off of 25) did not show a significant association with 5‐year mortality (p = 0.417 and p = 0.995, respectively).Conclusions: Even mild PVL assessed by echocardiography was an independent predictor for 5‐year survival, whereas hemodynamic measurements did not help to identify PVLs that are relevant to 5‐year survival.

Aims: We sought to assess the need for permanent pacemaker implantation (PPI) in patients with QRS <120 ms in electrocardiogram (ECG) after transcatheter aortic valve implantation (TAVI). Methods and results: We retrospectively analysed 1139 consecutive patients who underwent transfemoral TAVI between 2008 and 2016, receiving different valve types. All patients were surveyed by continuous ECG monitoring for 48 h, 12-lead ECGs starting immediately after procedure, as well as 24-h Holter recording the day before discharge. Indication for PPI was at the discretion of the attending physician. Among 760 patients with QRS <120 ms prior to the TAVI procedure, 400 patients showed QRS <120 ms immediately after procedure, whereas 360 patients had QRS ≥120 ms. In the group with QRS <120 ms, PPI was performed in 34 patients [8.5%; 95% confidence interval (CI) 5.6–11.2%] during the first week. Eight of the PPIs in the group with QRS <120 ms (2%; CI 0.8–3.5%) fulfilled Class I indications for PPI after TAVI, whereas 26 PPIs had different indications [left bundle branch block, sick sinus, low-grade atrioventricular (AV) block]. Complete AV block developed in three patients of the group of QRS <120 ms (0.75%; CI 0.0–1.7%), which in all cases occurred after the 48 h-surveillance period. During 1-year follow-up, 11 PPIs were performed (2.8%; CI 1.2–4.5%), thereof three PPI for Class I indications including one complete AV block. Conclusion: In patients with QRS duration <120 ms immediately after TAVI, the risk for complete AV block was low during the first week after TAVI and 1-year follow-up.

Background: Permanent pacemaker implantation (PPI) after transcatheter valve implantation (TAVI) is a common complication. Pre-existing right bundle branch block (RBBB) is a strong risk factor for PPI after TAVI. However, a patient-specific approach for risk stratification in this subgroup has not yet been established. Methods: We investigated TAVI patients with pre-existing RBBB to stratify risk factors for PPI and 1-year-mortality by detailed analysis of ECG data, RBBB morphology and degree of calcification in the implantation area assessed by computed tomography angiography. Results: Between 2010 and 2018, 2129 patients underwent TAVI at our institution. Among these, 98 pacemaker-naïve patients with pre-existing RBBB underwent a TAVI procedure. PPI, because of relevant conduction disturbances (CD), was necessary in 43 (43.9%) patients. PPI was more frequently indicated in women vs. men (62.1% vs. 32.8%, p = 0.004) and in men treated with a self-expandable vs. a balloon-expandable valve (58.3% vs. 26.5%, p = 0.035). ECG data (heart rhythm, PQ, QRS, QT) and RBBB morphology had no influence on PPI rate, whereas risk for PPI increased with the degree of calcification in the left septal His-/left bundle branch-area to a 9.375-fold odds for the 3rd tertile of calcification (1.639–53.621; p = 0.012). Overall, 1-year-mortality was comparable among patients with or without PPI (14.0% vs. 16.4%; p = 0.697). Conclusions: Patients with RBBB undergoing TAVI have a high risk of PPI. Among this subgroup, female patients, male patients treated with self-expandable valve types, patients with high load/degree of non-coronary LVOT calcification and patients with atrial fibrillation need enhanced surveillance for CD after procedure.

Objective: Atrial cardiomyopathy (ACM) is associated with development of AF, left atrial (LA) thrombogenesis, and stroke. Diagnosis of ACM is feasible using both echocardiographic LA strain imaging and measurement of the amplified p-wave duration (APWD) in digital 12-lead-ECG. We sought to determine the thresholds of LA global longitudinal strain (LA-GLS) and APWD that identify patients with AF at risk for LA appendage (LAA) thrombogenesis. Methods: One hundred and twenty-eight patients with a history of AF were included. Left atrial appendage maximal flow velocity (LAA-Vel, in TEE), LA-GLS (TTE), and APWD (digital 12-lead-ECG) were measured in all patients. ROC analysis was performed for each method to determine the thresholds for LA-GLS and the APWD, enabling diagnosis of patients with LAA-thrombus. Results: Significant differences in LA-GLS were found during both rhythms (SR and AF) between the thrombus group and control group: LA-GLS in SR: 14.3 ± 7.4% vs. 24.6 ± 9.0%, p < 0.001 and in AF: 11.4 ± 4.2% vs. 16.1 ± 5.0%, p = 0.045. ROC analysis revealed a threshold of 17.45% for the entire cohort (AUC 0.82, sensitivity: 84.6%, specificity: 63.6%, Negative Predictive Value (NPV): 94.3%) with additional rhythm-specific thresholds: 19.1% in SR and 13.9% in AF, and a threshold of 165 ms for APWD (AUC 0.90, sensitivity: 88.5%, specificity: 75.5%, NPV: 96.2%) as optimal discriminators of LAA-thrombus. Moreover, both LA-GLS and APWD correlated well with the established contractile LA-parameter LAA-Vel in TEE (r = 0.39, p < 0.001 and r = −0.39, p < 0.001, respectively). Conclusion: LA-GLS and APWD are valuable diagnostic predictors of left atrial thrombogenesis in patients with AF.