We present a case of multiple arrhythmias in a 3-year-old child who was presented to the emergency department with emesis. Initial vital signs were significant for a heart rate from 40 to 60 beats per minute with stable blood pressure. An electrocardiogram showed complete atrioventricular block with a junctional escape rhythm of 40 to 55 bpm that subsequently progressed to atrial flutter/fibrillation and then to a junctional escape rhythm. She was given intravenous atropine, resulting in acceleration of the junctional rhythm. Sinus rhythm resumed with a prolonged PR interval a few hours later with normalization of the electrocardiogram the following day. Routine laboratory tests, toxicology screens, and tests for other cardiac medications in the home were negative. However, at 20 hours after presentation, her digoxin level was 2.9 ng/mL. Parents denied that the child had access to any digoxin-containing substances. This case illustrates that digoxin toxicity can manifest with multiple arrhythmias and that recognition of this can be very difficult, especially when there is no witness to ingestion. Clinicians should be suspicious for digoxin toxicity when a child presents with persistent emesis, altered level of consciousness, and bradyarrhythmias with or without hemodynamic instability.
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http://dx.doi.org/10.1097/01.pec.0000221343.19249.57 | DOI Listing |
Cureus
January 2025
Emergency Medicine, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, USA.
Anticholinergic toxicity typically presents with symptoms of cutaneous vasodilation, delirium, mydriasis, urinary retention, hyperthermia, anhidrosis, and tachycardia. This case report presents a 68-year-old female patient who exhibited some of these signs and symptoms after ingesting an unknown quantity of dicyclomine. However, she displayed one notable exception to the classic toxidrome.
View Article and Find Full Text PDFGenes (Basel)
January 2025
Institute of Clinical Medicine, V.N. Vinogradov Faculty Therapeutic Clinic, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Background: Myocardial disease is an important component of the wide field of cardiovascular disease. However, the phenomenon of multiple myocardial diseases in a single patient remains understudied.
Aim: To investigate the prevalence and impact of myocarditis in patients with genetic cardiomyopathies and to evaluate the outcomes of myocarditis treatment in the context of cardiomyopathies.
Children (Basel)
January 2025
Department of Pediatrics, Division of Neonatology and Neonatal Intensive Medicine, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.
Background/objectives: Cardiac rhabdomyoma (CR), the most frequently occurring fetal cardiac tumor, is often an early marker of tuberous sclerosis complex (TSC). This study evaluates outcomes of fetuses with prenatally diagnosed cardiac tumors managed at a single tertiary center.
Methods: Medical records of fetuses diagnosed with cardiac tumors between 2009 and 2024 were retrospectively reviewed.
Biomedicines
December 2024
1st Cardiology Department, General Hospital of Athens "Hippokration", University of Athens Medical School, 11528 Athens, Greece.
Atrial fibrillation (AF) is the most common cardiac arrhythmia encountered in clinical practice and is associated with significant morbidity and mortality. Even though catheter ablation has emerged as an available and effective treatment for AF, recurrence remains a significant challenge. This review presents the existing evidence on the prognostic role of microRNAs (miRNAs) in the prediction of AF recurrence after catheter ablation.
View Article and Find Full Text PDFBioengineering (Basel)
January 2025
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Atrial fibrillation (AF) is the most common persistent arrhythmia, and it is crucial to develop generalizable automatic AF detection methods. However, supervised AF detection is often limited in performance due to the difficulty in obtaining labeled data. To address the gap between limited labeled data and the requirements for model robustness and generalization in single-lead ECG AF detection, we proposed a semi-supervised contrastive learning method named MLMCL for AF detection.
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