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  1. Article ; Online: Top stories on Brugada syndrome.

    Wilde, Arthur A M

    Heart rhythm

    2023  Volume 21, Issue 1, Page(s) 126–127

    MeSH term(s) Humans ; Brugada Syndrome/diagnosis ; Brugada Syndrome/therapy ; Electrocardiography
    Language English
    Publishing date 2023-12-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2229357-7
    ISSN 1556-3871 ; 1547-5271
    ISSN (online) 1556-3871
    ISSN 1547-5271
    DOI 10.1016/j.hrthm.2023.09.026
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Risk Stratification in Brugada Syndrome: How Low Can We Go?

    Wilde, Arthur A M / Saenen, Johan

    Circulation

    2023  Volume 148, Issue 20, Page(s) 1556–1558

    MeSH term(s) Humans ; Brugada Syndrome/diagnosis ; Brugada Syndrome/therapy ; Prospective Studies ; Prognosis ; Risk Assessment
    Language English
    Publishing date 2023-11-13
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80099-5
    ISSN 1524-4539 ; 0009-7322 ; 0069-4193 ; 0065-8499
    ISSN (online) 1524-4539
    ISSN 0009-7322 ; 0069-4193 ; 0065-8499
    DOI 10.1161/CIRCULATIONAHA.123.066697
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book: Founder mutations in inherited cardiac diseases in the Netherlands

    Wilde, Arthur A.M. / Tintelen, J. Peter van

    2014  

    Keywords Founder mutations ; Genetics ; Cardiovascular abnormalities ; Hereditary cardiovascular diseases ; Cardiology ; Heart disease ; Genome ; DNA ; Genetic modifiers ; Cardiogenetics
    Language English
    Size IX, 102 S. : Ill., graph. Darst., 279 mm x 210 mm, 294 g
    Publisher Bohn Stafleu van Loghum
    Publishing place Houten
    Publishing country Netherlands
    Document type Book
    HBZ-ID HT018598953
    ISBN 978-90-368-0704-3 ; 90-368-0704-2
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    2015 A 1244 available for loan (reading room) Lesesaal EG

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  4. Article: The Dutch Idiopathic Ventricular Fibrillation Registry: progress report on the quest to identify the unidentifiable.

    Verheul, Lisa M / Groeneveld, Sanne A / Stoks, Job / Hoeksema, Wiert F / Cluitmans, Matthijs J M / Postema, Pieter G / Wilde, Arthur A M / Volders, Paul G A / Hassink, Rutger J

    Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation

    2024  

    Abstract: Background: Idiopathic ventricular fibrillation (iVF) is a rare cause of sudden cardiac arrest and, by definition, a diagnosis of exclusion. Due to the rarity of the disease, previous and current studies are limited by their retrospective design and ... ...

    Abstract Background: Idiopathic ventricular fibrillation (iVF) is a rare cause of sudden cardiac arrest and, by definition, a diagnosis of exclusion. Due to the rarity of the disease, previous and current studies are limited by their retrospective design and small patient numbers. Even though the incidence of iVF has declined owing to the identification of new disease entities, an important subgroup of patients remains.
    Aim: To expand the existing Dutch iVF Registry into a large nationwide cohort of patients initially diagnosed with iVF, to reveal the underlying cause of iVF in these patients, and to improve arrhythmia management.
    Methods: The Dutch iVF Registry includes sudden cardiac arrest survivors with an initial diagnosis of iVF. Clinical data and outcomes are collected. Outcomes include subsequent detection of a diagnosis other than 'idiopathic', arrhythmia recurrence and death. Non-invasive electrocardiographic imaging is used to investigate electropathological substrates and triggers of VF.
    Results: To date, 432 patients have been included in the registry (median age at event 40 years (interquartile range 28-52)), 61% male. During a median follow-up of 6 (2-12) years, 38 patients (9%) received a diagnosis other than 'idiopathic'. Eleven iVF patients were characterised with electrocardiographic imaging.
    Conclusion: The Dutch iVF Registry is currently the largest of its kind worldwide. In this heterogeneous population of index patients, we aim to identify common functional denominators associated with iVF. With the implementation of non-invasive electrocardiographic imaging and other diagnostic modalities (e.g. echocardiographic deformation, cardiac magnetic resonance), we advance the possibilities to reveal pro-fibrillatory substrates.
    Language English
    Publishing date 2024-04-23
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2211468-3
    ISSN 1876-6250 ; 1568-5888 ; 0929-7456
    ISSN (online) 1876-6250
    ISSN 1568-5888 ; 0929-7456
    DOI 10.1007/s12471-024-01870-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Is it safe to give birth with an activated implantable cardioverter-defibrillator: A multicentre observational study.

    van der Stuijt, Willeke / Kooiman, Kirsten M / de Veld, Jolien A / Pepplinkhuizen, Shari / Olde Nordkamp, Louise R A / Oudijk, Martijn A / Wilde, Arthur A M / Smeding, Lonneke / Knops, Reinoud E

    BJOG : an international journal of obstetrics and gynaecology

    2024  

    Abstract: Objective: Data and guidelines are lacking, so implantable cardioverter-defibrillators (ICDs) are often deactivated during labour to prevent inappropriate shocks. This study aimed to ascertain the safety of an activated ICD during labour.: Design: An ...

    Abstract Objective: Data and guidelines are lacking, so implantable cardioverter-defibrillators (ICDs) are often deactivated during labour to prevent inappropriate shocks. This study aimed to ascertain the safety of an activated ICD during labour.
    Design: An observational study was performed.
    Setting: Dutch hospitals.
    Population or sample: A total of 41 childbirths were included of 26 patients who gave birth between February 2009 and November 2018 after receiving an ICD in our tertiary hospital. Five of these childbirths were attended by the research team between December 2018 and August 2020, during which the ICD remained active.
    Methods: Groups were made based on ICD status during labour. Patients who gave birth with an activated ICD at least once were stratified to the activated ICD group. Patients' files were checked and patients received a questionnaire about childbirth perceptions and treatment preferences. The differences in ordinal data resulting from the questionnaire were calculated using a chi-square or Fisher's exact test.
    Main outcome measures: Primary outcome was inappropriate ICD therapy and occurrence of ventricular arrhythmias requiring treatment.
    Results: During the 41 childbirths, no inappropriate shocks or ventricular arrhythmias occurred during labour. All patients in the activated ICD group (n = 13) preferred this setting, while 8 of the 13 patients in the deactivated ICD group preferred activation (p = 0.002). Reasons included avoiding hemodynamic monitoring, magnet placement, or labour induction to facilitate technician availability.
    Conclusions: This study shows no evidence that labour and birth in women with an activated ICD are unsafe, as there were no ventricular arrhythmias or inappropriate therapy. In addition, most patients prefer an activated ICD during labour.
    Language English
    Publishing date 2024-02-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2000931-8
    ISSN 1471-0528 ; 0306-5456 ; 1470-0328
    ISSN (online) 1471-0528
    ISSN 0306-5456 ; 1470-0328
    DOI 10.1111/1471-0528.17777
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Prevalence of Short-Coupled Ventricular Fibrillation in a Large Cohort of Dutch Patients With Idiopathic Ventricular Fibrillation.

    Groeneveld, Sanne A / van der Ree, Martijn H / Mulder, Bart A / Balt, Jippe / Wilde, Arthur A M / Postema, Pieter G / Hassink, Rutger J

    Circulation

    2022  Volume 145, Issue 18, Page(s) 1437–1439

    MeSH term(s) Arrhythmias, Cardiac ; Electrocardiography ; Humans ; Prevalence ; Ventricular Fibrillation/epidemiology
    Language English
    Publishing date 2022-05-02
    Publishing country United States
    Document type Letter ; Research Support, Non-U.S. Gov't
    ZDB-ID 80099-5
    ISSN 1524-4539 ; 0009-7322 ; 0069-4193 ; 0065-8499
    ISSN (online) 1524-4539
    ISSN 0009-7322 ; 0069-4193 ; 0065-8499
    DOI 10.1161/CIRCULATIONAHA.121.057878
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Importance of Validating Guideline Recommendations.

    Wilde, Arthur A M

    Circulation journal : official journal of the Japanese Circulation Society

    2020  Volume 84, Issue 12, Page(s) 2136–2137

    MeSH term(s) Brugada Syndrome ; Humans ; Japan ; Risk Assessment
    Language English
    Publishing date 2020-10-27
    Publishing country Japan
    Document type Journal Article ; Comment
    ZDB-ID 2068090-9
    ISSN 1347-4820 ; 1346-9843
    ISSN (online) 1347-4820
    ISSN 1346-9843
    DOI 10.1253/circj.CJ-20-1047
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Toward advanced diagnosis and management of inherited arrhythmia syndromes: Harnessing the capabilities of artificial intelligence and machine learning.

    Asatryan, Babken / Bleijendaal, Hidde / Wilde, Arthur A M

    Heart rhythm

    2023  Volume 20, Issue 10, Page(s) 1399–1407

    Abstract: The use of advanced computational technologies, such as artificial intelligence (AI), is now exerting a significant influence on various aspects of life, including health care and science. AI has garnered remarkable public notice with the release of deep ...

    Abstract The use of advanced computational technologies, such as artificial intelligence (AI), is now exerting a significant influence on various aspects of life, including health care and science. AI has garnered remarkable public notice with the release of deep learning models that can model anything from artwork to academic papers with minimal human intervention. Machine learning, a method that uses algorithms to extract information from raw data and represent it in a model, and deep learning, a method that uses multiple layers to progressively extract higher-level features from the raw input with minimal human intervention, are increasingly leveraged to tackle problems in the health sector, including utilization for clinical decision support in cardiovascular medicine. Inherited arrhythmia syndromes are a clinical domain where multiple unanswered questions remain despite unprecedented progress over the past 2 decades with the introduction of large panel genetic testing and the first steps in precision medicine. In particular, AI tools can help address gaps in clinical diagnosis by identifying individuals with concealed or transient phenotypes; enhance risk stratification by elevating recognition of underlying risk burden beyond widely recognized risk factors; improve prediction of response to therapy, and further prognostication. In this contemporary review, we provide a summary of the AI models developed to solve challenges in inherited arrhythmia syndromes and also outline gaps that can be filled with the development of intelligent AI models.
    Language English
    Publishing date 2023-07-12
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2229357-7
    ISSN 1556-3871 ; 1547-5271
    ISSN (online) 1556-3871
    ISSN 1547-5271
    DOI 10.1016/j.hrthm.2023.07.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Pushing prognostic boundaries in Brugada syndrome: Trying to predict the unpredictable.

    Asatryan, Babken / Postema, Pieter G / Wilde, Arthur A M

    Heart rhythm

    2023  Volume 20, Issue 10, Page(s) 1368–1369

    MeSH term(s) Humans ; Brugada Syndrome/diagnosis ; Brugada Syndrome/therapy ; Prognosis ; Ventricular Fibrillation ; Death, Sudden, Cardiac ; Electrocardiography
    Language English
    Publishing date 2023-07-13
    Publishing country United States
    Document type Editorial ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 2229357-7
    ISSN 1556-3871 ; 1547-5271
    ISSN (online) 1556-3871
    ISSN 1547-5271
    DOI 10.1016/j.hrthm.2023.07.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Counterpoint: Ablation in long QT syndrome.

    Wilde, Arthur A M / Ackerman, Michael J

    Heart rhythm

    2023  Volume 20, Issue 12, Page(s) 1785–1786

    MeSH term(s) Humans ; Long QT Syndrome/surgery ; Ventricular Fibrillation/surgery ; Electrocardiography
    Language English
    Publishing date 2023-09-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2229357-7
    ISSN 1556-3871 ; 1547-5271
    ISSN (online) 1556-3871
    ISSN 1547-5271
    DOI 10.1016/j.hrthm.2023.09.018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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