Incidence of systemic inflammatory response syndrome and patient outcome following transcatheter edge-to-edge mitral valve repair.

OBJECTIVES: Systemic inflammatory response syndrome (SIRS) is a common finding after cardiovascular interventions. Data on the incidence of SIRS and its impact on outcome in patients undergoing transcatheter edge-to-edge mitral valve repair (MV-TEER) for mitral regurgitation (MR) is lacking. METHODS: From January 2013 to December 2020, 373 patients with moderate or severe MR undergoing MV-TEER were included. SIRS was defined as at least two of the following criteria within 48 h after the procedure: leucocyte count > 12.0 or < 4.0 × 109/l, respiratory rate > 20 breaths per minute or PaCO2 ≤ 4.3 kPa/32 mmHg, heart rate > 90 bpm and temperature > 38.0 °C or < 36.0 °C. The primary endpoint was 3-years all-cause mortality. RESULTS: SIRS was observed in 49.6% (185/373) of patients. Patients who developed SIRS presented more frequently with NYHA III/IV at baseline [SIRS: 82.4% (149/185) vs. no SIRS: 79.0% (147/188); p = 0.029]. Patients who developed SIRS spent more days on ICU (p < 0.001) and overall length of stay was longer (p < 0.001). Relevant residual MR, defined as MR ≥ III in-hospital, was present more often in patients who developed SIRS [SIRS: 11.3% (20/177) vs. no SIRS: 3.93% (7/178), p = 0.036]. At 3 years, all-cause mortality in the entire population was 33.5% (125/373) with an increased all-cause mortality in patients with SIRS compared to patients without SIRS (HR 1.49, [CI 95% 1.04, 2.13]; p = 0.0264). In the multivariate analysis development of SIRS (HR 1.479 [CI 95% 1.016, 2.154]; p = 0.041) was identified as predictor for 3-years all-cause mortality. CONCLUSIONS: SIRS is a common finding after MV-TEER occurring in approximately half of patients. SIRS after MV-TEER was associated with a longer in-hospital stay. In addition, we observed an increased 3-years all-cause mortality in patients with SIRS.

Combined telemonitoring and telecoaching for heart failure improves outcome.

Telemedicine has been shown to improve the outcome of heart failure (HF) patients in addition to medical and device therapy. We investigate the effectiveness of a comprehensive telehealth programme in patients with recent hospitalisation for HF on subsequent HF hospitalisations and mortality compared to usual care in a real-world setting. The telehealth programme consists of daily remote telemonitoring of HF signs/symptoms and regular individualised telecoaching sessions. Between January 2018 and September 2020, 119,715 patients of a German health insurer were hospitalised for HF and were eligible for participation in the programme. Finally, 6065 HF patients at high risk for re-hospitalisation were enroled. Participants were retrospectively compared to a propensity score matched usual care group (n = 6065). Median follow-up was 442 days (IQR 309-681). Data from the health insurer was used to evaluate outcomes. After one year, the number of hospitalisations for HF (17.9 vs. 21.8 per 100 patient years, p < 0.001), all-cause hospitalisations (129.0 vs. 133.2 per 100 patient years, p = 0.015), and the respective days spent in hospital (2.0 vs. 2.6 days per year, p < 0.001, and 12.0 vs. 13.4, p < 0.001, respectively) were significantly lower in the telehealth than in the usual care group. Moreover, participation in the telehealth programme was related to a significant reduction in all-cause mortality compared to usual care (5.8 vs. 11.0 %, p < 0.001). In a real-life setting of ambulatory HF patients at high risk for re-hospitalisation, participation in a comprehensive telehealth programme was related to a reduction of HF hospitalisations and all-cause mortality compared to usual care.

Cardiologist-Directed Sedation Management in Patients Undergoing Transvenous Lead Extraction: A Single-Centre Retrospective Analysis.

BACKGROUND: The demand for transvenous lead extraction (TLE) has increased. In line with this, the safety of such procedures has also increased. Traditionally, TLE is performed under resource-intensive general anaesthesia. This study aims to evaluate the safety and outcomes of Cardiologist-lead deep sedation for TLE. METHODS: We retrospectively analysed 328 TLE procedures performed under deep sedation from 2016 to 2019. TLE procedures were performed by experienced electrophysiologists. Sedation was administered by a specifically trained cardiologist (bolus midazolam/fentanyl and propofol infusion). Procedural sedation data including blood pressure, medication administration and sedation time were collected. Complications related to sedation and the operative component of the procedure were analysed retrospectively. RESULTS: The sedation-associated complication rate during TLE was 22.0%. The most common complication (75% of complications) was hypotension requiring noradrenaline, followed by bradycardia requiring atropine (13% of complications). Additionally, the unplanned presence of an anaesthesiologist was needed in one case (0.3%). Deep sedation was achieved with midazolam (mean dose 42.9 ± 26.5 µg/kg), fentanyl (mean dose 0.4 ± 0.6 µg/kg) and propofol (mean dose 3.5 ± 1.2 mg/kg/h). There was no difference in medication dosage between those with a sedation-associated complication and those without. Sedation-associated complications appeared significantly more in patients with reduced LVEF (p = 0.01), renal impairment (p = 0.01) and a higher American Society of Anaesthesiologists (ASA) class (p = 0.01). CONCLUSION: Deep sedation for TLE can be safely performed by a specifically trained cardiologist, with a transition to general anaesthesia required in only 0.3% of cases. We continue to recommend the on-call availability of an anaesthesiologist and cardiac surgeon in case of major complications.

Incidence and Predictors of Ventricular Arrhythmias in Transthyretin Amyloid Cardiomyopathy.

BACKGROUND: Wild-type transthyretin amyloid cardiomyopathy (wtATTR-CM) is characterized by heart failure, conduction abnormalities and arrhythmias. The incidence of ventricular arrhythmias, particularly ventricular tachycardias (VTs), in wtATTR-CM is unclear. With the development of targeted therapies and improved overall prognosis, there is an unmet need to identify patients at high risk for VTs who might benefit from ICD therapy. METHODS: Between 2017 and 2022, 72 patients diagnosed with wtATTR-CM were prospectively evaluated for the presence of ventricular arrhythmias using a Holter ECG. VTs were defined as >3 consecutive beats with a heart rate > 100 beats per minute originating from a ventricle. RESULTS: The incidence of VTs was 44% (n = 32/72) in unselected wtATTR-CM patients. Patients with VT showed significantly more severe left ventricular (LV) hypertrophy (septum diameter 21 ± 2.6 vs. 19 ± 3.0 mm, p = 0.006), reduced LV ejection fraction (47 ± 8 vs. 52 ± 8%, p = 0.014) and larger left atria (32 ± 7 vs. 28 ± 6 mm2, p = 0.020), but no differences in cardiac markers such as NTproBNP and troponin. In a multivariable model, LV hypertrophy (LV mass indexed, OR = 1.02 [1.00-1.03], p = 0.031), LV end-diastolic diameter (OR = 0.85 [0.74-0.98], p = 0.021) and LV end-systolic diameter (OR = 1.19 [1.03-1.349], p = 0.092) were predictive for VT occurrence with an area under the receiver operating characteristic of 0.76 [0.65-0.87]. CONCLUSIONS: The incidence of ventricular arrhythmia in wtATTR-CM is high and is associated with an advanced stage of left ventricular disease. Further studies are needed evaluating the role of VTs in predicting sudden cardiac death and the benefit of ICD therapy in wtATTR-CM.

Machine learning identifies pathophysiologically and prognostically informative phenotypes among patients with mitral regurgitation undergoing transcatheter edge-to-edge repair.

AIMS: Patients with mitral regurgitation (MR) present with considerable heterogeneity in cardiac damage depending on underlying aetiology, disease progression, and comorbidities. This study aims to capture their cardiopulmonary complexity by employing a machine-learning (ML)-based phenotyping approach. METHODS AND RESULTS: Data were obtained from 1426 patients undergoing mitral valve transcatheter edge-to-edge repair (MV TEER) for MR. The ML model was developed using 609 patients (derivation cohort) and validated on 817 patients from two external institutions. Phenotyping was based on echocardiographic data, and ML-derived phenotypes were correlated with 5-year outcomes. Unsupervised agglomerative clustering revealed four phenotypes among the derivation cohort: Cluster 1 showed preserved left ventricular ejection fraction (LVEF; 56.5 ± 7.79%) and regular left ventricular end-systolic diameter (LVESD; 35.2 ± 7.52 mm); 5-year survival in Cluster 1, hereinafter serving as a reference, was 60.9%. Cluster 2 presented with preserved LVEF (55.7 ± 7.82%) but showed the largest mitral valve effective regurgitant orifice area (0.623 ± 0.360 cm2) and highest systolic pulmonary artery pressures (68.4 ± 16.2 mmHg); 5-year survival ranged at 43.7% (P-value: 0.032). Cluster 3 was characterized by impaired LVEF (31.0 ± 10.4%) and enlarged LVESD (53.2 ± 10.9 mm); 5-year survival was reduced to 38.3% (P-value: <0.001). The poorest 5-year survival (23.8%; P-value: <0.001) was observed in Cluster 4 with biatrial dilatation (left atrial volume: 312 ± 113 mL; right atrial area: 46.0 ± 8.83 cm2) although LVEF was only slightly reduced (51.5 ± 11.0%). Importantly, the prognostic significance of ML-derived phenotypes was externally confirmed. CONCLUSION: ML-enabled phenotyping captures the complexity of extra-mitral valve cardiac damage, which does not necessarily occur in a sequential fashion. This novel phenotyping approach can refine risk stratification in patients undergoing MV TEER in the future.

Iliofemoral artery predilation prior to transfemoral transcatheter aortic valve implantation in patients with aortic valve stenosis and advanced peripheral artery disease.

OBJECTIVES: To investigate the feasibility and safety of percutaneous transluminal angioplasty (PTA) of the iliofemoral arteries (IFA) before transfemoral transcatheter aortic valve implantation (Tf-TAVI) in patients with advanced peripheral artery disease (PAD). BACKGROUND: Although Tf-TAVI represents the access of choice, alternative vascular access routes are preferred for patients displaying advanced PAD. PTA of the IFA represents a less invasive option, broadening the spectrum of patients eligible for Tf-TAVI. METHODS: All patients requiring PTA of the IFA before Tf-TAVI, between 2012 and 2021, were included. Primary efficacy endpoint was the rate of successful transcatheter heart valve (THV) delivery and implantation. Primary safety endpoint was the rate of PTA and access-site-related vascular complications, procedural- and in-hospital complications. RESULTS: Among 2726 Tf-TAVI procedures, 59 patients required IFA predilation. Successful THV delivery and implantation was achieved in 57 (96.6%) patients, respectively. Sheath placement was achieved in 59 (100%) patients with only one minor dissection and no major vascular complications following iliofemoral PTA. Regarding access site complications, two (3.4%) vessel perforations and one (1.7%) vessel rupture were observed, with eight (13.5%) patients requiring unplanned endovascular interventions. There was one intraprocedural death due to THV-induced vessel laceration, while in-hospital all-cause mortality was 8.5% in the present high-risk patient cohort. CONCLUSIONS: Predilation of IFA is safe and effective in patients with advanced PAD. Careful preprocedural planning is paramount in improving procedural safety and efficacy. This strategy has the potential to broaden the spectrum of patients eligible for Tf-TAVI.

Echocardiographic evaluation of left ventricular function using an automated analysis algorithm is feasible for beginners and experts: comparison with invasive and non-invasive methods.

AIMS: Echocardiographic measurement of left ventricular function using a user-friendly automated three-dimensional algorithm is highly attractive as it promises quick and accurate diagnosis, circumventing limitations associated with visual estimation or manual biplane measurements. We sought to assess the feasibility and correlation of such automated analysis with clinically established methods. METHODS: A total of 198 patients undergoing transthoracic echocardiography (TTE) with assessment of left ventricular parameters by automated software algorithm (Philips 3D-Heartmodel; 3D-HM) which additionally had either left ventricular angiography (LVA) or cardiac magnetic resonance (CMR) within 24 h of the TTE examination were analyzed. Left ventricular parameters (left ventricular end-diastolic volume, LVEDV, left ventricular end-systolic volume, LVESV as well as left ventricular ejection fraction, LVEF) were compared between 3D-HM, CMR and LVA. RESULTS: Correlation of left ventricular measurements was overall good to excellent and stronger for CMR (EF r = 0.824) than for LVA (EF r = 0.746). Unexperienced and expert clinicians yielded comparable good results. For CMR, highest correlation was detected in patients with BMI < 25 and excellent image quality. High agreement was seen between 3D-HM and CMR or LVA when stratifying patients according to heart failure categories. CONCLUSIONS: Echocardiographic quantification of left ventricular parameters using a software-based algorithm correlated well with established invasive and non-invasive modalities in the clinical setting, even for unexperienced clinicians. Such automated approaches are promising as they allow a reliable, more observer-independent as well as reproducible assessment of left ventricular function.

The impact of extra-valvular cardiac damage on mid-term clinical outcome following transcatheter aortic valve replacement in patients with severe aortic stenosis.

Aims: To quantify extra-valvular cardiac damage associated with severe aortic valve stenosis (AS), a novel staging model was proposed. This study aimed to validate this model in patients undergoing transcatheter aortic valve replacement (TAVR) as well as to assess its prognostic impact. Methods and results: Based on echocardiographic findings, the following stages were applied: isolated AS (stage 0), left ventricular (LV) damage (stage 1), left atrial or mitral valve damage (stage 2), pulmonary hypertension or tricuspid regurgitation (stage 3), or right ventricular dysfunction (stage 4). The primary endpoint was 2-year all-cause mortality. The distribution across stages was 0.8% at stage 0, 7.5% at stage 1, 63.3% at stage 2, 18.3% at stage 3, and 10.1% at stage 4. All-cause mortality increased at all stages 1-4 (12.1%, 18.2%, 26.6%, and 28.2%; p = 0.023). In the multivariate model, the stage of cardiac damage, age, New York Heart Association (NYHA) class III/IV, peripheral artery disease, and previous pacemaker were independent predictors of the primary endpoint. Conclusions: Patients treated for severe AS show a high prevalence of extra-valvular cardiac damage. An increase in stage is associated with higher 2-year all-cause mortality. The application of this staging model may add value to current treatment algorithms.

Artificial intelligence-enabled phenotyping of patients with severe aortic stenosis: on the recovery of extra-aortic valve cardiac damage after transcatheter aortic valve replacement.

OBJECTIVE: A novel artificial intelligence-based phenotyping approach to stratify patients with severe aortic stenosis (AS) prior to transcatheter aortic valve replacement (TAVR) has been proposed, based on echocardiographic and haemodynamic data. This study aimed to analyse the recovery of extra-aortic valve cardiac damage in accordance with this novel stratification system following TAVR. METHODS: The proposed phenotyping approach was previously established employing data from 366 patients with severe AS from a bicentric registry. For this consecutive study, echocardiographic follow-up data, obtained on day 147±75.1 after TAVR, were available from 247 patients (67.5%). RESULTS: Correction of severe AS by TAVR significantly reduced the proportion of patients suffering from concurrent severe mitral regurgitation (from 9.29% to 3.64%, p value: 0.0015). Moreover, pulmonary artery pressures were ameliorated (estimated systolic pulmonary artery pressure: from 47.2±15.8 to 43.3±15.1 mm Hg, p value: 0.0079). However, right heart dysfunction as well as the proportion of patients with severe tricuspid regurgitation remained unchanged. Clusters with persistent right heart dysfunction ultimately displayed 2-year survival rates of 69.2% (95% CI 56.6% to 84.7%) and 74.6% (95% CI 65.9% to 84.4%), which were significantly lower compared with clusters with little or no persistent cardiopulmonary impairment (88.3% (95% CI 83.3% to 93.5%) and 85.5% (95% CI 77.1% to 94.8%)). CONCLUSIONS: This phenotyping approach preprocedurally identifies patients with severe AS, who will not recover from extra-aortic valve cardiac damage following TAVR and whose survival is therefore significantly reduced. Importantly, not the degree of pulmonary hypertension at initial presentation, but the irreversibility of right heart dysfunction determines prognosis.

The 10-year horizon: Survival and structural valve degeneration in first-generation transcatheter aortic valves.

BACKGROUND: Transcatheter aortic valve replacement is an established treatment for high- or intermediate-risk patients with symptomatic aortic valve stenosis. As more low-risk patients are being treated, transcatheter heart valve durability is gaining importance. Data on structural valve deterioration beyond 8 years after transcatheter aortic valve replacement is limited. AIM: To evaluate the outcomes of transcatheter aortic valve replacement in high-risk patients with a follow-up of ≥10 years, focusing on survival and structural valve deterioration, according to the European Association of Percutaneous Cardiovascular Interventions/European Society of Cardiology/European Association for Cardio-Thoracic Surgery definitions. METHODS: Only patients with a follow-up of ≥ 10 years were included in this study (n=510). Using serial echocardiographic data, the cumulative incidences of structural valve deterioration and bioprosthetic valve failure were analysed. Receiver operating characteristic analysis was used for predictor assessment. RESULTS: Mean age was 79.6±6.7 years, with a mean logistic EuroSCORE of 19.8±12.7%. Immediate procedural mortality was 2.9%, and 30-day mortality was 7.8%. Kaplan-Meier-estimated survival at 10 years was 10.3±1.5%. At 10 years, the cumulative incidences of severe and moderate structural valve deterioration were 4.3% and 13%, respectively, for the total population. The cumulative incidence of bioprosthetic valve failure at 10 years was 9.0%. There was a significant difference in the rates of structural valve deterioration and bioprosthetic valve failure depending on valve type: structural valve deterioration, SAPIEN 8.9% vs CoreValve 2.2% at 10 years (P=0.001); bioprosthetic valve failure, SAPIEN 13.9% vs CoreValve 6.7% at 10 years (P=0.021). CONCLUSIONS: Structural valve deterioration and bioprosthetic valve failure of early transcatheter heart valves was low at 10 years. The identified differences between valve types must be validated using current-generation devices in younger patients.

Prognostic implications of impaired longitudinal left ventricular systolic function assessed by tissue Doppler imaging prior to transcatheter aortic valve implantation for severe aortic stenosis.

Change in longitudinal left ventricular (LV) systolic function serves as an early marker of the deleterious effect of aortic stenosis (AS) and other cardiac comorbidities on cardiac function. We explored the prognostic value of tissue Doppler imaging (TDI)-derived longitudinal LV systolic function, defined by the peak systolic average of lateral and septal mitral annular velocities (average S') among symptomatic patients with severe AS undergoing transcatheter aortic valve implantation (TAVI). 297 consecutive patients with severe AS undergoing TAVI at three european centers with available average S' at preprocedural echocardiography were retrospectively included. The primary endpoint was the Kaplan Meier estimate of all-cause mortality. After a median 18 months (IQR 12-18) follow-up, 36 (12.1%) patients had died. Average S' was associated with all-cause mortality (per 1 cm/sec decrease: HR 1.29, 95%CI 1.03-1.60, p = 0.025), the cut-off of 6.5 cm/sec being the most accurate. Patients with average S' < 6.5 cm/sec (55.2%) presented characteristics of more advanced LV remodeling and functional impairment along with higher burden of cardiac comorbidities, and experienced higher all-cause mortality (17.6% vs. 7.5%, p = 0.007), also when adjusted for in-study outcome predictors (adj-HR: 2.69, 95%CI 1.22-5.93, p = 0.014). Results were consistent among patients with preserved ejection fraction, normal-flow AS, high-gradient AS and in those without LV hypertrophy. Longitudinal LV systolic function assessed by average S' is independently associated with long-term all-cause mortality among TAVI patients. An average S' below 6.5 cm/sec best defines clinically meaningful reduced longitudinal systolic function and may aid clinical risk stratification in these patients.

Harnessing feature extraction capacities from a pre-trained convolutional neural network (VGG-16) for the unsupervised distinction of aortic outflow velocity profiles in patients with severe aortic stenosis.

Aims: Hypothesizing that aortic outflow velocity profiles contain more valuable information about aortic valve obstruction and left ventricular contractility than can be captured by the human eye, features of the complex geometry of Doppler tracings from patients with severe aortic stenosis (AS) were extracted by a convolutional neural network (CNN). Methods and results: After pre-training a CNN (VGG-16) on a large data set (ImageNet data set; 14 million images belonging to 1000 classes), the convolutional part was employed to transform Doppler tracings to 1D arrays. Among 366 eligible patients [age: 79.8 ± 6.77 years; 146 (39.9%) women] with pre-procedural echocardiography and right heart catheterization prior to transcatheter aortic valve replacement (TAVR), good quality Doppler tracings from 101 patients were analysed. The convolutional part of the pre-trained VGG-16 model in conjunction with principal component analysis and k-means clustering distinguished two shapes of aortic outflow velocity profiles. Kaplan-Meier analysis revealed that mortality in patients from Cluster 2 (n = 40, 39.6%) was significantly increased [hazard ratio (HR) for 2-year mortality: 3; 95% confidence interval (CI): 1-8.9]. Apart from reduced cardiac output and mean aortic valve gradient, patients from Cluster 2 were also characterized by signs of pulmonary hypertension, impaired right ventricular function, and right atrial enlargement. After training an extreme gradient boosting algorithm on these 101 patients, validation on the remaining 265 patients confirmed that patients assigned to Cluster 2 show increased mortality (HR for 2-year mortality: 2.6; 95% CI: 1.4-5.1, P-value: 0.004). Conclusion: Transfer learning enables sophisticated pattern recognition even in clinical data sets of limited size. Importantly, it is the left ventricular compensation capacity in the face of increased afterload, and not so much the actual obstruction of the aortic valve, that determines fate after TAVR.

Impact of Tele-Coaching During the COVID-19 Pandemic on Risk-Reduction Behavior of Patients with Heart Failure.

Introduction: Our study assessed the effectiveness of tele-coaching over written information in educating patients with chronic heart failure (CHF) at high risk of hospitalization about corona virus disease 2019 (COVID-19). We analyzed the impact on number of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and self-reported behavior change. Methods: In April 2020, a tele-coaching module and written summary about COVID-19, risk-reduction measures for prevention of COVID-19, and appropriate consultation of medical attention during the pandemic were integrated into an established tele-coaching program. Three hundred seventy-eight patients who had received both tele-coaching and written information 3 weeks earlier were interviewed using a structured questionnaire and compared with 1,748 patients who had only received written information at this point. Results: Tele-coaching had no short-term effect on numbers of SARS-CoV-2 infections. However, patients receiving tele-coaching reported significantly more behavioral changes, including increased room ventilation (88% vs. 78%, p < 0.0001), surface cleaning (80% vs. 70%, p = 0.0006), wearing of face masks (59% vs. 51%, p = 0.013), and reduced usage of public transport (77% vs. 68%, p = 0.0003), despite no observed difference in recall about risk-reduction measures. Moreover, tele-coaching improved patients' knowledge about how to seek medical help in an emergency (46% vs. 36%, p = 0.0006), with a significant reduction in self-reported doctors' appointments (304 vs. 413 per 1,000 patients, p = 0.002) and hospital visits (50 vs. 87 per 1,000, p = 0.033) during the first peak of the pandemic. Conclusion: In a population of patients with CHF at high risk of hospitalization, COVID-19-specific tele-coaching effectively supported behavioral changes and significantly reduced face-to-face medical contacts in a short-term follow-up period.

Subphenotyping of Patients With Aortic Stenosis by Unsupervised Agglomerative Clustering of Echocardiographic and Hemodynamic Data.

OBJECTIVES: The aim of this retrospective analysis was to categorize patients with severe aortic stenosis (AS) according to clinical presentation by applying unsupervised machine learning. BACKGROUND: Patients with severe AS present with heterogeneous clinical phenotypes, depending on disease progression and comorbidities. METHODS: Unsupervised agglomerative clustering was applied to preprocedural data from echocardiography and right heart catheterization from 366 consecutively enrolled patients undergoing transcatheter aortic valve replacement for severe AS. RESULTS: Cluster analysis revealed 4 distinct phenotypes. Patients in cluster 1 (n = 164 [44.8%]), serving as a reference, presented with regular cardiac function and without pulmonary hypertension (PH). Accordingly, estimated 2-year survival was 90.6% (95% CI: 85.8%-95.6%). Clusters 2 (n = 66 [18.0%]) and 4 (n = 91 [24.9%]) both comprised patients with postcapillary PH. Yet patients in cluster 2 with preserved left and right ventricular structure and function showed a similar survival as those in cluster 1 (2-year survival 85.8%; 95% CI: 76.9%-95.6%), whereas patients in cluster 4 with dilatation of all heart chambers and a high prevalence of mitral and tricuspid regurgitation (12.5% and 14.8%, respectively) died more often (2-year survival 74.9% [95% CI: 65.9%-85.2%]; HR for 2-year mortality: 2.8 [95% CI: 1.4-5.5]). Patients in cluster 3, the smallest (n = 45 [12.3%]), displayed the most extensive disease characteristics (ie, left and right heart dysfunction together with combined pre- and postcapillary PH), and 2-year survival was accordingly reduced (77.3% [95% CI: 65.2%-91.6%]; HR for 2-year mortality: 2.6 [95% CI: 1.1-6.2]). CONCLUSIONS: Unsupervised machine learning aids in capturing complex clinical presentations as observed in patients with severe AS. Importantly, structural alterations in left and right heart morphology, possibly due to genetic predisposition, constitute an equally sensitive indicator of poor prognosis compared with high-grade PH.

Anatomical reasons for failure of dual-filter cerebral embolic protection application in TAVR: A CT-based analysis.

BACKGROUND: The dual-filter Sentinel™ Cerebral Protection System (Sentinel-CPS) is increasingly used during transcatheter aortic valve replacement (TAVR). However, complex vascular anatomy may challenge Sentinel-CPS deployment. AIM OF THE STUDY: We sought to investigate the impact of anatomic features of the aortic arch and the supra-aortic arteries on technical device failure of Sentinel-CPS application. METHODS: Analysis of the multislice computed tomography pre-TAVR aortograms of all patients undergoing TAVR with Sentinel-CPS between 2016 and 2020 (n = 92) was performed. We investigated the impact of aortic arch anatomy, configuration, and the angles of the supra-aortic arteries, including the determination of vascular tortuosity index on device failure of Sentinel-CPS application. RESULTS: The Sentinel-CPS was applied successfully in 83 patients (90.2%). Device failure in nine patients (9.8%) was due to the infeasibility to perform correct deployment of both filters (n = 7) and to obtain peripheral radial access (n = 2). Patients with a failure of Sentinel-CPS application had a higher right subclavian tortuosity index (217 [92-324] vs. 150 [42-252], p = .046), a higher brachiocephalic tortuosity index (27 [5-51] vs. 10 [0-102], p = 0.033) and a larger angulation of the brachiocephalic artery (59° [22-80] vs. 39° [7-104], p = .014) compared with patients with successful application. A brachiocephalic angle more than 59° was predictive for device failure. No differences in aortic arch anatomy or common carotid artery tortuosity were detected between the groups. CONCLUSIONS: Brachiocephalic tortuosity was found to be associated with failure of Sentinel-CPS application. Filter-based usage should be avoided in TAVR patients with a brachiocephalic angle more than 59°.

Role of the Ambulatory Assessed Apnea-Hypopnea Index for Predicting Recurring Atrial Fibrillation After Ablation Therapy.

Catheter ablation is an effective treatment for atrial fibrillation (AF). Obstructive sleep apnea (OSA) is a known risk factor for recurrent AF. The apnea-hypopnea index (AHI) is a measurement tool to screen patients for OSA. We sought to evaluate if the ambulatory assessed AHI is associated with AF recurrence following AF catheter ablation. 187 patients with paroxysmal (n = 155) or early persistent (n = 32) AF presenting for catheter ablation were included in the study. AHI was determined prior to ablation using an ambulatory screening device. All patients underwent pulmonary vein isolation (PVI). In patients with early persistent AF (17%) additional ablation of complex fractionated atrial electrograms (CFAE) was performed. Clinical follow-up was available after 3 and 12 months including 7-day Holter-ECG. All 187 patients (60.3 ± 11.4 years, 64.2% male) completed the 3 months follow-up and 170 patients the 12 months follow-up. A pathological AHI ≥15 was found in 45/187 (24.1%) patients. Additional CFAE did not differ between patients with an AHI ≥15 and AHI <15 (p = 0.663). After 3 months, 12/41 (29.3%) patients with AHI ≥15 showed recurrent AF compared to 24/146 (16.4%) patients with AHI <15 (p = 0.066). After 12 months, AHI ≥15 was associated with a significant higher rate of AF recurrence of 47.4% (18/38) versus 26.5% (35/132) in patients with AHI <15 (p = 0.014). In the logistic regression analysis AHI ≥15 was an independent predictor of recurrent AF at 12 months (p = 0.011). In conclusion, ambulatory assessed AHI ≥15 is associated with increased risk for AF recurrence following catheter ablation. OSA screening should be performed in AF patients as it might influence catheter ablation success.

Gender and career in cardiology-a cross-sectional study.

BACKGROUND: The proportion of women as leading physicians in cardiology in university medicine has stagnated and the share of women in senior positions in cardiology is low compared with other medical specialist fields. Here, we analyze the typical barriers for women as doctors in cardiology and point to issues that make the discipline less attractive for both genders. METHODS: In a cross-sectional study, a standardized online questionnaire was sent to 3873 members of the German Cardiac Society (DGK). Answers from 567 (278 women, 289 men) were analyzed, using comparisons between groups, correlation analyses, and tests of normal distribution. RESULTS: For 47.4% of respondents (52.0%, of women; 42.8%, of men; p = 0.049), training had lasted longer than anticipated. Average monthly gross income (full-time work) differed significantly between women and men as specialists (p = 0.004) and assistant doctors (p = 0.030). Of women, 32.1% had experienced sexual harassment in the workplace. The main arguments against a career in university medicine were an extremely competitive working climate (66.7% of women, 63.2% of men), lack of work-life balance (66.7% women, 55.3% men), and excessive workload (57.8% women, 62.5% men). As strategies to increase job attractiveness, both mentioned measures to improve the work-life balance, and the flexibility of working times and improved financial provision. Women asked for gender balance at management level (76.3% vs. 32.9% of men) and opportunities for sharing management tasks (82.4% vs. 57.9%). Flatter hierarchies were requested by more men (67.1 vs. 54.8%). CONCLUSION: Further development of the work culture in cardiology seems necessary. In order to increase the attractiveness of the field overall and to provide equal opportunities in cardiology, more targeted support should be provided to young doctors and more flexibility introduced into work.

The Genetic Makeup of the Electrocardiogram.

The electrocardiogram (ECG) is one of the most useful non-invasive diagnostic tests for a wide array of cardiac disorders. Traditional approaches to analyzing ECGs focus on individual segments. Here, we performed comprehensive deep phenotyping of 77,190 ECGs in the UK Biobank across the complete cycle of cardiac conduction, resulting in 500 spatial-temporal datapoints, across 10 million genetic variants. In addition to characterizing polygenic risk scores for the traditional ECG segments, we identified over 300 genetic loci that are statistically associated with the high-dimensional representation of the ECG. We established the genetic ECG signature for dilated cardiomyopathy, associated the BAG3, HSPB7/CLCNKA, PRKCA, TMEM43, and OBSCN loci with disease risk and confirmed this association in an independent cohort. In total, our work demonstrates that a high-dimensional analysis of the entire ECG provides unique opportunities for studying cardiac biology and disease and furthering drug development. A record of this paper's transparent peer review process is included in the Supplemental Information.