Publications by authors named "Michiel Winter"

Coronary artery disease (CAD) affects over 200 million individuals globally, accounting for approximately 9 million deaths annually. Patients living with diabetes mellitus exhibit an up to fourfold increased risk of developing CAD compared to individuals without diabetes. Furthermore, CAD is responsible for 40 to 80 percent of the observed mortality rates among patients with type 2 diabetes.

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Article Synopsis
  • The study focused on identifying imaging biomarkers for pre-clinical cardiomyopathy in healthy people with genetic variants linked to hypertrophic cardiomyopathy (HCM) or dilated cardiomyopathy (DCM).
  • Out of 40,169 participants, 13 cardiac magnetic resonance (CMR) measurements were found to be linked to atrial fibrillation (AF) and 15 with heart failure (HF), with specific measurements correlating differently with HCM and DCM genetic risk.
  • The findings suggest that certain CMR measurements, particularly from the right side of the heart, can indicate early changes in heart function in individuals with HCM genetic variants, while left ventricular measures relate to DCM genetic risks
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Background: Patients with stable chest pain suspected of coronary artery disease (CAD) usually undergo multiple diagnostic tests to confirm or rule out obstructive CAD. Some tests may not effectively assess the presence of CAD, precluding optimal treatment. A diagnostic strategy of upfront computed tomography coronary angiography (CTCA) combined with optimal medical therapy (OMT) tailored to the extent of CAD may be superior to standard care in preventing major adverse cardiac events.

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Guideline-directed medical therapy (GDMT) has clear benefits on morbidity and mortality in patients with heart failure; however, GDMT use remains low. In the multicenter, open-label, investigator-initiated ADMINISTER trial, patients (n = 150) diagnosed with heart failure and reduced ejection fraction (HFrEF) were randomized (1:1) to receive usual care or a strategy using digital consults (DCs). DCs contained (1) digital data sharing from patient to clinician (pharmacotherapy use, home-measured vital signs and Kansas City Cardiomyopathy Questionnaires); (2) patient education via a text-based e-learning; and (3) guideline recommendations to all treating clinicians.

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Background: Remote monitoring devices for atrial fibrillation are known to positively contribute to the diagnostic process and therapy compliance. However, automatic algorithms within devices show varying sensitivity and specificity, so manual double-checking of electrocardiographic (ECG) recordings remains necessary.

Objective: The purpose of this study was to investigate the validity of the KardiaMobile algorithm within the Dutch telemonitoring program (HartWacht).

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This paper addresses the challenge of integrating wearable activity trackers (WATs) into cardiovascular disease care. Despite evidence supporting the use of trackers for monitoring and promoting physical activity, implementation challenges persist in clinical settings. The paper emphasizes the lack of systematic, evidence-based implementation approaches for integrating trackers.

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Aims: Many heart failure (HF) patients do not receive optimal guideline-directed medical therapy (GDMT) despite clear benefit on morbidity and mortality outcomes. Digital consults (DCs) have the potential to improve efficiency on GDMT optimization to serve the growing HF population. The investigator-initiated ADMINISTER trial was designed as a pragmatic multicenter randomized controlled open-label trial to evaluate efficacy and safety of DC in patients on HF treatment.

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Background: The Apple Watch (AW) is the first commercially available wearable device with built-in electrocardiogram (ECG) electrodes to perform a single-lead ECG to detect atrial fibrillation (AF).

Methods: Patients with AF who were scheduled for electrical cardioversion (ECV) were included in this study. The AW ECGs were obtained pre-ECV and post-ECV.

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This was a head-to-head comparative study on different electrocardiogram (ECG)-based smartwatches and devices for atrial fibrillation detection. We prospectively included 220 patients scheduled for electrical cardioversion and recorded ECGs with 3 different devices (Withings Move ECG, Apple Watch 5, Kardia Mobile 6-leads) as well as the standard 12-lead ECG (gold standard), both before and after cardioversion. All atrial fibrillation detection algorithms had high accuracy (sensitivity and specificity: 91-99%) but were hampered by uninterpretable recordings (20-24%).

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Background: Various electrocardiogram (ECG)-based devices are available for home monitoring, but the reliability in adults with CHD is unknown. Therefore, we determined the accuracy of different ECG-based devices compared to the standard 12-lead ECG in adult CHD.

Methods And Results: This is a single-centre, prospective, cross-sectional study in 176 consecutive adults with CHD (54% male, age 40 ± 16.

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Cardiac exercise stress testing (CEST) is an important diagnostic tool in daily cardiology practice. However, during intense physical activity microdroplet aerosols, potentially containing SARS-CoV-2 particles, can persist in a room for a long time. This poses a potential infection risk for the medical staff involved in CEST, as well as for the patients entering the same room afterwards.

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Article Synopsis
  • Chest CT (ULDCT) was evaluated against chest X-ray (CXR) to see which better impacts health outcomes for patients with suspected lung disease in the emergency department.
  • A randomized clinical trial included 2418 patients, measuring their health status 28 days later using a specific health score, along with hospital admission rates and lengths of stay.
  • Results showed that while ULDCT provided slightly better health scores and found more incidental issues, overall short-term health and admissions were similar to those using CXR, suggesting ULDCT isn't necessary for routine use in these cases.
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The number of inherited heart disease (IHD) studies using artificial intelligence (AI) has increased rapidly over the last years. In this scoping review, we aimed to present an overview of the current literature available on the applicability of AI within the field of IHD. The literature search resulted in eighteen articles in which an AI model was trained and tested, mostly for diagnostic and predictive purposes.

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Background: Patients undergoing invasive cardiothoracic procedures are prone for pre-procedural anxiety and depression. Patient education is known to reduce anxiety. This study was performed to assess the effect of Virtual Reality (VR) as a means to educate patients to reduce pre-procedural anxiety in adult patients undergoing percutaneous closure of a patent foramen ovale (PFO) or atrial septal defect (ASD).

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Article Synopsis
  • eHealth programs can effectively lower systolic blood pressure by an average of 3.87 mmHg at 6 months and 5.68 mmHg at 12 months compared to usual care.
  • High intensity interventions are more effective but also more expensive, increasing costs by €170 at 6 months and €342 at 12 months.
  • Programs with a larger participant volume and those using eHealth as a partial replacement for usual care show lower costs without sacrificing effectiveness.
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Aims: There is limited quantitative evidence on the effect of symptom-driven telemonitoring for cardiac arrhythmias on patient-reported outcomes. We evaluated the effect of a symptom-driven remote arrhythmia monitoring programme on the patient-reported health-related quality of life (HRQoL), sense of safety, physical limitations, and self-management.

Methods And Results: This was an observational retrospective longitudinal study of the symptom-driven HartWacht-telemonitoring programme using a remote single-lead electrocardiogram monitoring system.

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Introduction: An increased focus on shared decision-making and patient empowerment in cardiology and on patient outcomes such as quality of life (QoL), depression, and anxiety underline the importance of high-quality patient education. Studies focusing on digital means of patient education performed in other disciplines of medicine demonstrated its positive effect in these areas. Therefore, a review of the current literature was performed to (i) evaluate the status of innovative, digitalized means of patient education in cardiology and (ii) assess the impact of digital patient education on outcome parameters (i.

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Background: Phospholamban (PLN) p.Arg14del mutation carriers are known to develop dilated and/or arrhythmogenic cardiomyopathy, and typical electrocardiographic (ECG) features have been identified for diagnosis. Machine learning is a powerful tool used in ECG analysis and has shown to outperform cardiologists.

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Background: Adults with congenital heart disease (ACHD) often suffer from deterioration related to cardiac arrhythmias, hypertension (HT) or heart failure (HF), frequently occurring between planned visits. Mobile health (mHealth) could improve management through remote monitoring by enabling swift therapeutic response and detecting new diagnoses.

Methods: We performed a prospective study employing mHealth in ACHD patients, weekly monitoring heart rhythm, weight and blood pressure.

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Background: The purpose of this prospective randomised controlled trial was to assess whether home-based, self-selected exercise training is safe, results in high compliance and improves exercise capacity in symptomatic adults with congenital heart disease (CHD).

Methods: Forty adults with moderate or severe CHD (40 ± 12 years, 56% male, New York Heart Association [NYHA] II/III 37/3) were randomly assigned, stratified by CHD complexity, either to home-based exercise training or usual care. The exercise training protocol consisted of three exercise sessions per week for six consecutive months.

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Objectives: In the VAL-SERVE (Valsartan in Systemic Right Ventricle) trial, three-year valsartan treatment improved systemic ventricular function only in symptomatic patients with congenitally or with an atrial switch corrected transposition of the great arteries. The aim of the current study was to investigate the longer-term clinical outcomes after valsartan treatment.

Methods: From 2006 to 2009, 88 adults were randomly allocated 1:1 to either valsartan or placebo for three consecutive years.

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Background: Scarce data on crowdfunding report a maximal funding of €10.000,-, and state that research is needed to attract attention of larger granting organizations. The aims of this project were 1) to fund an eHealth study in grown-up congenital heart disease (GUCH) patients 2) to contemplate on critical success factors.

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Mobile health (mHealth), an advanced form of eHealth is expected to drastically change the field of traditional healthcare in the near future as wearables and mobile applications are rapidly increasing in number. The majority of patients with congenital heart disease (CHD) now reach adulthood and this relative young patient population seems particularly suited for mHealth, as they require lifelong follow-up, experience high morbidity burden, and were raised in this digital era. In patients with acquired heart disease the potential of eHealth has been demonstrated, yet data are still inconclusive.

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The number of grown-up congenital heart disease (GUCH) patients is steadily increasing. Unfortunately, the majority of these patients suffer from late sequelae, with heart failure being the most common cause of death. Exercise training is beneficial and safe in patients with acquired heart failure, as well as in asymptomatic GUCH patients.

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