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The Journal of Clinical Psychiatry|October 13, 2015
Sudden cardiac death in young adults with previous hospital-based psychiatric inpatient and outpatient treatment: a nationwide cohort study from DenmarkBjarke Risgaard, Kristine Waagstein, Bo Gregers Winkel, et al.
International Journal of Cardiology|April 7, 2024
Familial clustering of unexplained heart failure - A Danish nationwide cohort studyCharlotte Glinge, Sara Rossetti, Louise Bruun Oestergaard, et al.
Resuscitation|April 6, 2024
Toxicological profile using mass spectrometry in sudden cardiac arrest survivors admitted to a tertiary centreNiels Kjær Stampe, Charlotte Glinge, Brian Schou Rasmussen, et al.
Journal of the American Heart Association|January 5, 2019
Systems Genetics Approaches in Rat Identify Novel Genes and Gene Networks Associated With Cardiac ConductionMichiel E Adriaens, Elisabeth M Lodder, Aida Moreno-Moral, et al.
JACC. Clinical Electrophysiology|May 16, 2018
Sudden Cardiac Death: Pharmacotherapy and Proarrhythmic Drugs: A Nationwide Cohort Study in DenmarkBjarke Risgaard, Bo Gregers Winkel, Reza Jabbari, et al.
International Journal of Cardiology|July 26, 2021
Clopidogrel, prasugrel, and ticagrelor for all-comers with ST-segment elevation myocardial infarctionMia Ravn Jacobsen, Thomas Engstrøm, Christian Torp-Pedersen, et al.
International Journal of Cardiology|February 17, 2017
Sudden cardiac death and coronary disease in the young: A nationwide cohort study in DenmarkSára Zachariasardóttir, Bjarke Risgaard, Frederik Nybye Ågesen, et al.
European Heart Journal. Acute Cardiovascular Care|October 9, 2023
Discovery of plasma proteins associated with ventricular fibrillation during first ST-elevation myocardial infarction via proteomicsNiels Kjær Stampe, Maud Eline Ottenheijm, Lylia Drici, et al.
Journal of the American Heart Association|February 19, 2020
Potassium Disturbances and Risk of Ventricular Fibrillation Among Patients With ST-Segment-Elevation Myocardial InfarctionMia Ravn Jacobsen, Reza Jabbari, Charlotte Glinge, et al.
Frontiers in Physiology|November 25, 2021
Combined In-silico and Machine Learning Approaches Toward Predicting Arrhythmic Risk in Post-infarction PatientsMary M Maleckar, Lena Myklebust, Julie Uv, et al.
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