Henri Gruwez

ID: 4550527 PPG-DERIVED BURDEN-SURVIVAL CURVES AFTER AF ABLATION REVEAL RECURRENCE AND BURDEN DIFFERENCES BETWEEN ABLATION TECHNIQUES

Michiel De Wever, Jonas Erzeel, Marnicq Van Es, Henri Gruwez et autres

Recurrence of atrial tachyarrhythmia after AF ablation is common, while conventional ECG-based follow-up is intermittent and may inadequately capture recurrence, burden and symptoms over time. Smartphone-based photoplethysmography (PPG) may enable scalable longitudinal monitoring in routine care.

Safety and Efficacy of Stand-Alone and Hybrid Thoracoscopic Atrial Fibrillation Ablation

Luca Aerts, Michal J. Kawczynski, Niels J. Verberkmoes, Thomas J. van Brakel et autres

OBJECTIVES: This study aimed to evaluate the long-term efficacy and safety of isolated and hybrid thoracoscopic atrial fibrillation (AF) ablation using a bipolar irrigated radiofrequency clamp in a multicentre registry. METHODS: A retrospective multicentre registry of patients undergoing AF ablation using the …

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1- and 2-stage hybrid atrial fibrillation ablation using a biparietal irrigated radiofrequency clamp: A dual-center cohort analysis

Luca Aerts, Henri Gruwez, Michiel De Wever, Daniel Ezzat et autres

Background Hybrid thoracoscopic ablation (HA), by using a biparietal irrigated radiofrequency (RF) device for epicardial ablation combined with endocardial techniques has emerged as a promising treatment for atrial fibrillation (AF). However, findings from the endocardial validation are lacking. Objective This study aimed …

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Artificial intelligence shows comparable or improved performance to traditional risk models in predicting atrial fibrillation after cryptogenic stroke

Femke Wouters, Myrte Barthels, Julie Vranken, C. J. P. P. Smeets et autres

Background and Aims Detecting subclinical atrial fibrillation (AF) and initiating anticoagulation therapy are critical for secondary stroke prevention after cryptogenic stroke. This study aimed to evaluate the effectiveness of traditional AF risk scores commonly used in clinical practice and compare with an …

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Artificial intelligence-predicted ECG age gap as a biomarker: bias-adjusted correlation with mortality and cardiovascular risk factors

Myrte Barthels, Elisa Verhofstadt, Henri Gruwez, Laurent Pison et autres

Abstract Aims Artificial intelligence models can estimate a person’s age from ECG. The gap between the predicted ECG age and chronological age, predicted age deviation (PAD), has been associated with cardiovascular risk factors and mortality. However, regression bias causes PAD to correlate …

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ID: 4342169 DEEP LEARNING-BASED IDENTIFICATION OF LATENT PAROXYSMAL AF FROM REAL-WORLD SMARTPHONE ACQUIRED PPG IN SINUS RHYTHM

Myrte Barthels, Thomas De Cooman, Pieter M. Vandervoort, Henri Gruwez et autres

ID: 4320087 AI-PREDICTED ECG AGE GAP AS A BIOMARKER: BIAS-ADJUSTED CORRELATION WITH MORTALITY AND CARDIOVASCULAR RISK FACTORS

Myrte Barthels, Elisa Verhofstadt, Henri Gruwez, Pieter M. Vandervoort et autres

The gap between artificial intelligence (AI) derived ECG age and chronological age (Δage) has been correlated with cardiovascular risk factors and mortality. However, bias due to regression-towards-the-mean results in an age-Δage correlation which affects the relationship between Δage and these age-related variables.

Home Urinary Sodium Measurements as a Predictor of Heart Failure Stability After Acute Heart Failure Hospitalization

Evelyne Meekers, Pieter Martens, Jeroen Dauw, Marie Miseur et autres

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Home-based Urinary Sodium Monitoring via Point-of-Care Testing for Personalized Diuretic Titration in Heart Failure Management: The EASY-STOP study

Evelyne Meekers, Pieter Martens, Ruben Knevels, Marie Miseur et autres

AIMS: Loop diuretics alleviate symptoms in heart failure (HF), but despite recommendations for dynamic dosing, implementation in practice remains challenging. The EASY-STOP trial investigated whether ambulatory urinary sodium monitoring using a point-of-care sensor could guide diuretic down-titration. METHODS AND RESULTS: This prospective, …

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Telecardiology unleashed: probing the depths of effectiveness in remote monitoring and telemedicine applications for acute cardiac conditions

Walter De Wever, Henri Gruwez, Sebastiaan Dhont, Laurent Pison et autres

Telecardiology has emerged as a promising approach in acute cardiac care through advancements in digital health technologies. This review explores the current evidence of telemedicine applications in acute coronary syndrome, arrhythmias, and acute heart failure. Telecardiology strategies are already implemented in clinical …

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Ultra-short-term heart rate variability using a photoplethysmography-based smartphone application: a TeleCheck-AF subanalysis

Henrike A. K. Hillmann, Astrid N L Hermans, Monika M. Gawalko, Johanna Müller‐Leisse et autres

Abstract Aims Autonomic nervous system activation plays an important role in the pathophysiology of atrial fibrillation (AF). It can be determined using heart rate variability (HRV). We aimed to evaluate the feasibility of using photoplethysmography (PPG) recordings for the assessment of the …

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Improving atrial fibrillation or flutter detection and management by smartphone-based photoplethysmography rhythm monitoring following cardiac surgery: a pragmatic randomized trial

Henri Gruwez, Nicolas De Melio, Paulien Vermunicht, Leen Van Langenhoven et autres

AIMS: Atrial fibrillation (AF) and atrial flutter (AFL) after cardiac surgery are common and associated with adverse outcomes. The increased risk related to AF or AFL may extend beyond discharge. This study aims to determine whether photoplethysmography (PPG)-based smartphone monitoring to detect …

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