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Background: Transcatheter mitral valve replacement (TMVR) offers a valuable treatment option for inoperable patients suffering from a degenerated mitral valve after previous ring annuloplasty. Dynamic obstruction of the left ventricular outflow tract(LVOT) is a procedural risk with detrimental consequences and can be estimated upfront using a multi-slice computed tomography(MSCT) derived 3D computational model(3DCM). This study explored the accuracy of pre-procedural neo-LVOT prediction in TMVR using 3DCMs of multiple cardiac phases. Methods: We obtained both pre- and post-procedural MSCT scans of a patient who underwent uncomplicated TMVR and derived 3DCMs from each cardiac phase. Virtual implantations of the deployed valve were performed and neo-LVOT dimensions were semi-automatically calculated in the pre-procedural models and matched with the post-procedural models. Predicted and post-procedural neo-LVOTs were compared between 3DCMs. Results: From cardiac phases 20–70%, 11 matched 3DCM pairs were generated. The mean difference between predicted and post-TMVR neo-LVOT area was 3 ± 23 mm2. The intra-class correlation coefficient for absolute agreement between predicted and post-procedural neo-LVOT area was 0.86 (95%CI 0.56–0.96, p < 0.001). Conclusion: 3DCMs could accurately predict post-TMVR neo-LVOT dimensions in a patient with a pre-existing mitral annular ring. Prospective research is warranted to demonstrate the accuracy of these models in larger samples and different mitral annular phenotypes.

Background Anomalous coronary artery originating from the opposite sinus of Vasalva with interarterial course (ACAOS-IAC) is associated with sudden cardiac death (SCD) in young athletes. If identified in adulthood prognosis is usually more benign, resulting in a dilemma regarding revascularization. Methods This is a retrospective observational single-center study, including adults with ACAOS-IAC. Medical records between 2012 and 2019 were reviewed for management approach, mortality, cardiac death and coronary related adverse events. Coronary computed tomographic angiography (CCTA) were reviewed. We provide a literature review in regard to clinical outcome. Results We identified 40 patients with ACAOS-IAC (mean age 51). Presentation was acute in 7/40 (18%). Ischemia detection with single photon emission tomography (SPECT), cardiac magnetic resonance (CMR) or dobutamine stress echocardiography were performed in 25/40 (63%) patients. Ischemia in the vascular territory of the anomaly was present in 2/25 (8%). In 39/40 (98%) patients were treated expectative. During median follow-up of 2.7 years (IQR 1.5–5.3) no cardiovascular death was observed. Mortality occurred in 1/40 (3%) and coronary related adverse events in 2/40 (5%). We identified 20 studies describing 1194 patients. Revascularization was performed in 376/1154 (32.6%) patients. Mortality stratified for clinical management was 23/431 (5.3%) in the non-revascularization versus 16/253 (6.3%) in the revascularization group during 4.0 years follow-up (weighted median). Cause of death was cardiovascular in 10/596 (1.7%) in 4.2 years (weighted median) follow up. Conclusions Both revascularization and non-invasive management have good prognosis in adults with ACAOS-IAC during early follow up. There is need for guidelines and long-term surveillance.

Background The need for new permanent pacemaker implantation (PPI) after Transcatheter Aortic Valve Implantation (TAVI) remains a critical issue. Membranous Septum (MS) length is associated with PPI after TAVI. The aim of this study was to identify different MS thresholds for the contemporary THV-platforms. Methods This retrospective, case-control study enrolled all patients who underwent a successful TAVI procedure with contemporary THV-platforms in the Erasmus University Medical Center between January 2016 and March 2020. The follow-up period for new PPI was 30 days. MS-length was determined by Computed Tomography. Results The study consisted 653 TAVI patients with median age 80.6 years (IQR 74.7–84.8). New PPI occurred in 120 patients (18.4%). Patients with new PPI had a shorter MS-length (2.9 mm (IQR 2.3–4.3) vs. 4.2 mm (IQR 2.9–5.7), p < 0.001). MS-length < 3 mm identified a high-risk phenotype with 30.3% PPI-rate (OR 6.5 [95%CI 2.9–14.9]), MS-length 3–6 mm an intermediate-risk phenotype with 15.4% PPI-rate (OR 2.7 [95%CI 1.2–6.2]) and MS > 6 mm a low-risk phenotype with a 6.3% PPI-rate (reference). For the Lotus valve, there was no significant difference in PPI-rates between the high-risk (45.8%, OR 3.5 [95%CI 0.8–15.1]) and low-risk group (20%). By multivariate analysis MS-length, Agatston-score, use of Lotus valve, and ECG with first-degree AV block, RBBB or bifascular block were independent predictors for new PPI. Conclusion MS-length was an independent predictor for new PPI post-TAVI. Three phenotypes were found based on MS-length. MS < 3 mm was universally associated with a high risk for new PPI (>30%). MS > 6 mm represented a low-risk phenotype with PPI-rate < 10%. PPI-rate varied per THV type in the intermediate phenotype. PPI-rate with Lotus was high regardless of MS-length.

Background Although the descending aortic diameter is larger in smokers, data about thoracic aortic growth is missing. Our aim is to present the distribution of thoracic aortic growth in smokers and to compare it with literature of the general population. Methods Current and ex-smokers aged 50–70 years from the longitudinal Danish Lung Cancer Screening Trial, were included. Mean and 95th percentile of annual aortic growth of the ascending aortic (AA) and descending aortic (DA) diameters were calculated with the first and last non-contrast computed tomography scans during follow-up. Determinants of change in aortic diameter over time were investigated with linear mixed models. Results A total of 1987 participants (56% male, mean age 57.4 ± 4.8 years) were included. During a median follow-up of 48 months, mean AA and DA growth rates were comparable between males (AA 0.12 ± 0.31 mm/year and DA 0.10 ± 0.30 mm/year) and females (AA 0.11 ± 0.29 mm/year and DA 0.13 ± 0.27 mm/year). The 95th percentile ranged from 0.42 to 0.47 mm/year, depending on sex and location. Aortic growth was comparable between current and ex-smokers and aortic growth was not associated with pack-years. Our findings are consistent with aortic growth rates of 0.08 to 0.17 mm/years in the general population. Larger aortic growth was associated with lower age, increased height, absence of medication for hypertension or hypercholesterolemia and lower Agatston scores. Conclusions This longitudinal study of smokers in the age range of 50–70 years shows that ascending and descending aortic growth is approximately 0.1 mm/year and is consistent with growth in the general population.