Electrophysiology (EP) procedures are nowadays the gold-standard method for tachyarrhythmia treatment with impressive success rates, but also with a considerable risk of complications, mainly vascular. A systematic review and meta-analysis was performed to evaluate the safety of ultrasound (US)-guided femoral vein access in EP procedures compared to the traditional anatomic landmark-guided method. We searched Pubmed (MEDLINE), Embase, Web of Science, and Cochrane electronic databases for relevant entries, dated from January 1st, 2000 to June 30th, 2021. Only observational studies and randomized controlled trials were included in this analysis. Data extraction included study details, patient characteristics, procedure details, and all types of vascular complications. Complications were classified as major if any intervention, prolongation of hospitalization, or readmission was required. 9 studies (1 randomized controlled trial and 8 observational), with 7858 participants (3743 in the US-guided group, 4115 in the control group), were included in the meta-analysis. Overall vascular complication rates were significantly decreased in the US-guided group compared to the control group (1.2 versus 3.2%, RR = 0.38, 95% CI, 0.27–0.53), in all EP procedures. Sub-group analysis of AF ablation procedures yielded similar results (RR 0.41, 95% CI, 0.29–0.58, p < 0.00001). The event reduction effect was significant for both major and minor vascular complications. US-guided vascular access in EP procedures is associated with significantly reduced vascular complications, compared to the standard anatomic landmark-guided approach, regardless of procedure complexity.

Background: In the PRESERVE‐EF study, a two‐step sudden cardiac death (SCD) risk stratification approach to detect post‐myocardial infarction (MI) patients with left ventricle ejection fraction (LVEF) ≥40% at risk for major arrhythmic events (MAEs) was used. Seven noninvasive risk factors (NIRFs) were extracted from a 24‐h ambulatory electrocardiography (AECG) and a 45‐min resting recording. Patients with at least one NIRF present were referred for invasive programmed ventricular stimulation (PVS) and inducible patients received an Implantable Cardioverter ‐ Defibrillator (ICD).Methods: In the present study, we evaluated the performance of the NIRFs, as they were described in the PRESERVE‐EF study protocol, in predicting a positive PVS. In the PRESERVE‐EF study, 152 out of 575 patients underwent PVS and 41 of them were inducible. For the present analysis, data from these 152 patients were analyzed.Results: Among the NIRFs examined, the presence of signal averaged ECG‐late potentials (SAECG‐LPs) ≥ 2/3 and non‐sustained ventricular tachycardia (NSVT) ≥1 eposode/24 h cutoff points were important predictors of a positive PVS study, demonstrating in the logistic regression analysis odds ratios 2.285 (p = .027) and 2.867 (p = .006), respectively. A simple risk score based on the above cutoff points in combination with LVEF < 50% presented high sensitivity but low specificity for a positive PVS.Conclusion: Cutoff points of NSVT ≥ 1 episode/24 h and SAECG‐LPs ≥ 2/3 in combination with a LVEF < 50% were important predictors of inducibility. However, the final decision for an ICD implantation should be based on a positive PVS, which is irreplaceable in risk stratification.

Atrial fibrillation (AF) is the most common arrhythmia. myAlgos is an mHealth disease management system consisting of physician-oriented platform and patient-oriented smartphone app. Our purpose was to assess the usability of myAlgos by physicians and patients and the effect of myAlgos on the quality of life (QoL) in patients with paroxysmal AF (PAF). Physicians rated the platform with the Post-Study System Usability Questionnaire (PSSUQ). Patients rated the app with the mHealth App Usability Questionnaire (MAUQ). The e-medicine Platform for Optimizing the Workflow in hEaRt Diseases (emPOWERD-AF) study investigated the effect of myAlgos in PAF patients randomized to full/control version. QoL was measured by the Atrial Fibrillation Effect on QualiTy-of-life (AFEQT) and 5-level EQ-5D (EQ-5D-5L) questionnaires. myAlgos got a PSSUQ score of 2.52 ± 0.36 by five physicians and a MAUQ score of 79.9% by 33 patients. In emPOWERD-AF, 80 patients were randomized 1:1 (58.1 ± 8.7 years, 66% male). The median AFEQT change at 6 months was +2.63% in full version users and −1.63% in controls ( p < .001). The myAlgos platform and app were easy-to-use and improved QoL in patients.

Early identification of patients at risk for paroxysmal atrial fibrillation (PAF) is essential to attain optimal treatment and a favorable prognosis. We compared the performance of a beat-to-beat (B2B) P-wave analysis with that of standard P-wave indices (SPWIs) in identifying patients prone to PAF. To this end, 12-lead ECG and 10 min vectorcardiogram (VCG) recordings were obtained from 33 consecutive, antiarrhythmic therapy naïve patients, with a short history of low burden PAF, and from 56 age- and sex-matched individuals with no AF history. For both groups, SPWIs were calculated, while the VCG recordings were analyzed on a B2B basis, and the P-waves were classified to a primary or secondary morphology. Wavelet transform was used to further analyze P-wave signals of main morphology. Univariate analysis revealed that none of the SPWIs performed acceptably in PAF detection, while five B2B features reached an AUC above 0.7. Moreover, multivariate logistic regression analysis was used to develop two classifiers—one based on B2B analysis derived features and one using only SPWIs. The B2B classifier was found to be superior to SPWIs classifier; B2B AUC: 0.849 (0.754–0.917) vs. SPWIs AUC: 0.721 (0.613–0.813), p value: 0.041. Therefore, in the studied population, the proposed B2B P-wave analysis outperforms SPWIs in detecting patients with PAF while in sinus rhythm. This can be used in further clinical trials regarding the prognosis of such patients.

The identification of patients prone to atrial fibrillation (AF) relapse after catheter ablation is essential for better patient selection and risk stratification. The current prospective cohort study aims to validate a novel P-wave index based on beat-to-beat (B2B) P-wave morphological and wavelet analysis designed to detect patients with low burden AF as a predictor of AF recurrence within a year after successful catheter ablation. From a total of 138 consecutive patients scheduled for AF ablation, 12-lead ECG and 10 min vectorcardiogram (VCG) recordings were obtained. Univariate analysis revealed that patients with higher B2B P-wave index had a two-fold risk for AF recurrence (HR: 2.35, 95% CI: 1.24–4.44, p: 0.010), along with prolonged P-wave, interatrial block, early AF recurrence, female gender, heart failure history, previous stroke, and CHA₂DS₂-VASc score. Multivariate analysis of assessable predictors before ablation revealed that B2B P-wave index, along with heart failure history and a history of previous stroke or transient ischemic attack, are independent predicting factors of atrial fibrillation recurrence. Further studies are needed to assess the predictive value of the B2B index with greater accuracy and evaluate a possible relationship with atrial substrate analysis.

Background: Electrocardiographic non‐invasive risk factors (NIRFs) have an important role in the arrhythmic risk stratification of post‐myocardial infarction (post‐MI) patients with preserved or mildly reduced left ventricular ejection fraction (LVEF). However, their specific relation to left ventricular systolic function remains unclear. We aimed to evaluate the association between NIRFs and LVEF in the patients included in the PRESERVE‐EF trial.Methods: We studied 575 post‐MI ischemia‐free patients with LVEF≥40% (mean age: 57.0 ± 10.4 years, 86.2% men). The following NIRFs were evaluated: premature ventricular complexes, non‐sustained ventricular tachycardia (NSVT), late potentials (LPs), prolonged QTc, increased T‐wave alternans, reduced heart rate variability, and abnormal deceleration capacity with abnormal turbulence.Results: There was a statistically significant relationship between LPs (Chi‐squared = 4.975; p < .05), nsVT (Chi‐squared = 5.749, p < .05), PVCs (r= −.136; p < .01), and the LVEF. The multivariate linear regression analysis showed that LPs (p = .001) and NSVT (p < .001) were significant predictors of the LVEF. The results of the multivariate logistic regression analysis indicated that LPs (OR: 1.76; 95% CI: 1.02–3.05; p = .004) and NSVT (OR: 2.44; 95% CI: 1.18–5.04; p = .001) were independent predictors of the mildly reduced LVEF: 40%–49% versus the preserved LVEF: ≥50%.Conclusion: Late potentials and NSVT are independently related to reduced LVEF while they are independent predictors of mildly reduced LVEF versus the preserved LVEF. These findings may have important implications for the arrhythmic risk stratification of post‐MI patients with mildly reduced or preserved LVEF.