Early markers of atrial fibrillation recurrence after pulmonary vein isolation

Background: Postprocedural atrial extrasystole (AES) frequency predicts atrial fibrillation (AF) recurrence after pulmonary vein isolation (PVI) in patients with paroxysmal AF. However, the predictive value of preprocedural AES frequency is unknown. We investigate whether preprocedural AES frequency is a feasible marker to predict (timing of) AF recurrence after PVI. Methods: Patients (N = 684) with paroxysmal or persistent AF undergoing first-time PVI were evaluated for (a) the frequency of AES/day on Holter recordings without AF prior to PVI, (b) AF episodes during the 90 days blanking period, and (c) AF recurrences afterward. The correlation between AES/day and both development and timing of AF recurrences was tested. Results: Preprocedural AES/day was similar in patients with paroxysmal (66 [20-295] AES/day) and persistent AF (115 [12-248] AES/day, P =.915). During the blanking period, 302 (44.2%) patients showed AF episodes. AF recurred in 379 (55.4%) patients at 203 (105-400) days after PVI. AF recurred more frequently in patients with persistent (N = 104 [69.3%]) than in patients with paroxysmal AF (N = 275 [51.5%], P <.001). Frequency of AES prior to PVI was not correlated with development (P =.203) or timing (P =.478) of AF recurrences. AF recurrences occurred both more frequently (P <.001) and earlier (P <.000) in patients with AF during the blanking period. Conclusion: AES/day prior to PVI is not correlated with (timing of) AF during the blanking period or AF recurrences, and is therefore not a feasible marker for AF recurrences in patients with PAF. AF during the blanking period is correlated with AF recurrence

Intraoperative inducibility of atrial fibrillation does not predict early postoperative atrial fibrillation

Background--Early postoperative atrial fibrillation (EPoAF) is associated with thromboembolic events, prolonged hospitalization, and development of late PoAF (LPoAF). It is, however, unknown if EPoAF can be predicted by intraoperative AF inducibility. The aims of this study are therefore to explore (1) the value of intraoperative inducibility of AF for development of both EPoAF and LPoAF and (2) the predictive value of de novo EPoAF for recurrence of LPoAF. Methods and Results--Patients (N=496, 75% male) undergoing cardiothoracic surgery for coronary and/or valvular heart disease were included. AF induction was attempted by atrial pacing, before extracorporeal circulation. All patients were on continuous rhythm monitoring until discharge to detect EPoAF. During a follow-up period of 2 years, LPoAF was detected by ECGs and Holter recordings. Sustained AF was inducible in 56% of patients. There was no difference in patients with or without AF before surgery (P=0.159), or between different types of surgery (P=0.687). In patients without a history of AF, incidence of EPoAF and LPoAF was 37% and 2%, respectively. EPoAF recurred in 58% patients with preoperative AF, 53% developed LPoAF. There were no correlations between intraoperative inducibility and EPoAF or LPoAF (P > 0.05). EPoAF was not correlated with LPoAF in patients without a history of AF (P=0.116), in contrast to patients with AF before surgery (P < 0.001). Conclusions--Intraoperative AF inducibility does not predict development of either EPoAF or LPoAF. In patients with AF before surgery, EPoAF is correlated with LPoAF recurrences. This correlation is absent in patients without AF before surgery

Vascular complications with a plug-based vascular closure device after transcatheter aortic valve replacement: Predictors and bail-outs

Background: The MANTA vascular closure device (VCD) is dedicated to large bore access closure and associated with favorable results in selected study populations. Anatomical predictors for access site complications are lacking. Aim: To evaluate MANTA in a real-world population and identify predictors for vascular complications. Methods: All patients undergoing transfemoral transcatheter aortic valve replacement (TAVR) between January 2016 and May 2020 with MANTA closure were included. Baseline characteristics were collected, pre-procedural computed tomography and post-deployment femoral angiograms were analyzed for anatomical differences. The primary endpoint was a composite of access site related major and minor vascular complications at 30 days follow-up according to the VARC-2 definitions. Secondary endpoints included bleeding, time to hemostasis, procedural length and incomplete arteriotomy closure or arterial occlusion by angiography. A Cox proportional hazards model was used to compare all-cause mortality for patients with and without an access site complication. Results: The 512 patients underwent TAVR with MANTA access closure. Median age was 80 (IQR 75–85), 53% was male, median BMI was 26.4 kg/m2 (IQR 23.4–29.7). Access site related major- or minor vascular complication occurred in 20 (4%) and 23 (4%) of patients respectively. Median time to hemostasis was 42 s (IQR 28–98). Post deployment angiogram showed an occlusion in 24 patients (5%), incomplete closure in 60 patients (12%) or both in three patients (1%). Of these 87 patients, 36 (41%) had a vascular complication. Femoral artery diameter (OR 0.70 [0.53–0.93]), low- (OR 3.47 [1.21–10.00]) and high (OR 2.43 [1.16–5.10]) arteriotomies were independent predictors for vascular complications. Conclusion: In this contemporary TAVR population, access-site related complications occurred in 8% of patients and were mainly due to percutaneous closure device failure. Small artery diameter and off-target punctures were independent predictors

Simplified trans-axillary aortic valve replacement under local anesthesia – A single center early experience

Background: The axillary artery is an alternative route for patients with comorbidities and unfavorable femoral arteries who need transcatheter aortic valve replacement (TAVR). Simplified trans-axillary transcatheter aortic valve replacement (TAx-TAVR) implies a completely percutaneous approach under local anesthesia and arteriotomy closure with vascular closure techniques. Herein, we report on early experience with simplified TAx-TAVR under local anesthesia. Methods: We enrolled all consecutive patients who underwent simplified TAx-TAVR in our center. Main study parameter was the incidence of axillary access related major vascular complications within 30 days. Secondary parameters included a composite early safety endpoint, axillary access-site related vascular/bleeding complications and short-term mortality. Post TAVR axillary stent patency was evaluated during follow-up by CT-analysis. Results: Between July 2018 and April 2020, Tax-TAVR was attempted in 35 patients with a mean age of 79 years. Local anesthesia and conscious sedation were used in 91.4% (n = 32) and 8.6% (n = 3) respectively. A covered stent was needed for complete axillary hemostasis in 44.1% (n = 15). Device success was achieved in 91.2% (n = 31/34). The 30-day axillary artery major vascular and ≥major bleeding complication rates were 14% (n = 5) and 11% (n = 4). The early safety endpoint was reached in 22.9% (n = 8). Mortality rates at 30 days and six months were 2.9% and 11.6%. Computed tomography (CT) confirmed axillary stent patency during follow-up in 82% (n = 9/11). Conclusions: In patients with high/prohibitive surgical risk and unsuitable femoral access, simplified TAx-TAVR under local anesthesia offers a valuable alternative for transfemoral TAVR but requires advanced access site management techniques including covered stents. Our data suggest an unmet clinical need for dedicated TAx closure devices

Precision medicine in interventional cardiology

Precision medicine has recently become widely advocated. It revolves around the individual patient, taking into account genetic, biomarker, phenotypic or psychosocial characteristics and uses biological, mechanical and/or personal variables to optimise individual therapy. In silico testing, such as the Virtual Physiological Human project, is being promoted to predict risk and to test treatments and medical devices. It combines artificial intelligence and computational modelling to select the best therapeutic option for the individual patient