Aims Our aim was to complete an audit loop and identify whether implementing a paediatric ECG checklist improved the documentation and therefore the quality of paediatric ECG interpretation. We designed a paediatric ECG and education proforma in a Paediatric Emergency Department and incorporated it into daily practice. Methods We audited the medical records of children presenting with clinical indications for ECG. We included 40 records before and 40 records after the introduction of a paediatric ECG interpretation checklist. Results We assessed 10 items of documentation of which 8 related to the wave-form. Recording of these ranged from 0-65% before and from 95-100% after the checklist. Conclusion An intervention to introduce a paediatric ECG checklist, including education proforma, demonstrated significant improvement in the interpretation and documentation of a paediatric ECG. We recommend the use of this checklist in primary care and hospital settings.
Download full-text PDF |
Source |
---|
Front Pediatr
January 2025
Division of Pediatric Cardiology, Division of Pediatrics, Children's Mercy Hospital, University of Missouri-Kansas City, Kansas City, MO, United States.
Background: In adolescents and adults with tetralogy of Fallot (TOF), right ventricle (RV) electromechanical dyssynchrony (EMD) due to right bundle branch block (RBBB) is associated with reduced exercise capacity and RV dysfunction. While the development of RBBB following surgical repair of tetralogy of Fallot (rTOF) is a frequent sequela, it is not known whether EMD is present in every patient immediately following rTOF. The specific timing of the onset of RBBB following rTOF therefore provides an opportunity to assess whether acute RBBB is associated with the simultaneous acquisition of EMD.
View Article and Find Full Text PDFCurr Neuropharmacol
January 2025
Department of Pharmacology, School of Medicine University of Zagreb, Zagreb, Croatia.
This review explores the therapeutic potential of the stable gastric pentadecapeptide BPC 157 in addressing electrolyte imbalances, specifically hyperkalemia, hypokalemia, hypermagnesemia, and hyperlithemia. In hyperkalemia, BPC 157 demonstrated a comprehensive counteractive effect against KCl overdose (intraperitoneally, intragastrically, and in vitro), effectively mitigating symptoms such as muscular weakness, hypertension, sphincter dysfunction, arrhythmias, and lethality. It also counteracted the adverse effects of succinylcholine and magnesium overdose, including systemic muscle paralysis, arrhythmias, and hyperkalemia.
View Article and Find Full Text PDFJ Surg Res
January 2025
Department of Thoracic and Cardiovascular Surgery, Chonnam National University Hospital and Medical School, Gwangju, Republic of Korea; Extracorporeal Circulation Research Team, Chonnam National University Hospital, Gwangju, Republic of Korea. Electronic address:
Introduction: Cold static storage (CSS) and normothermic ex-situ preservation are the most widely used donor heart preservation techniques worldwide. The current study compares both CSS and normothermic ex-situ preservation methods in terms of graft performance, morphologic changes, and acute immune response in an experimental model.
Method And Materials: Twenty rats underwent heterotopic abdominal heart transplantation after 2 h of CSS (group 1; n = 10) or normothermic ex-situ perfusion (group 2; n = 10).
Children (Basel)
December 2024
School of Medicine, University of Crete, 71 003 Heraklion, Crete, Greece.
Background: Screening for cardiovascular disease (CVD) and its associated risk factors in childhood facilitates early detection and timely preventive interventions. However, limited data are available regarding screening tools and their diagnostic yield when applied in unselected pediatric populations.
Aims: To evaluate the performance of a CVD screening program, based on history, 12-lead ECG and phonocardiography, applied in primary school children.
Children (Basel)
December 2024
Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, FL 32224, USA.
Artificial intelligence (AI) is revolutionizing healthcare by offering innovative solutions for diagnosis, treatment, and patient management. Only recently has the field of pediatric cardiology begun to explore the use of deep learning methods to analyze electrocardiogram (ECG) data, aiming to enhance diagnostic accuracy, expedite workflows, and improve patient outcomes. This review examines the current state of AI-enhanced ECG interpretation in pediatric cardiology applications, drawing insights from adult AI-ECG research given the progress in this field.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!