J Investig Med High Impact Case Rep
January 2025
We describe a 30-year-old Caribbean-Black woman with a clinical presentation suggestive of a transient ischemic attack (TIA) with no conventional cerebrovascular risk factors, albeit with a newly diagnosed quadricuspid aortic valve (QAV) with moderate aortic regurgitation (AR). Although QAV is a recognized congenital cardiac defect, its association with TIA remains elusive. This case highlights the importance of considering potential atypical etiologies, such as QAV, in the evaluation and management of young patients presenting with cerebrovascular events.
View Article and Find Full Text PDFBackground: Acute aluminum phosphide (ALP) poisoning presents a significant global medical challenge, particularly in regions where it is commonly used as a pesticide. Despite medical advancements, mortality rates from ALP poisoning remain high. Glucose-insulin-potassium (GIK) infusion therapy has emerged as a potential treatment for ALP poisoning due to its ability to counteract its toxic effects on metabolism and heart function.
View Article and Find Full Text PDFJ Community Hosp Intern Med Perspect
November 2024
Background: The objective of this article was to explore the use of ChatGPT as a clinical support tool for common arrhythmias.
Methods: This study assessed the feasibility of using ChatGPT as an AI decision-support tool for common rhythm disturbances. The study was conducted using retrospective data collected from electronic medical records (EMRs) of patients with documented rhythm disturbances.
We examined whether neighborhood-level socioeconomic disadvantage per the Area Deprivation Index (ADI) was associated with maternal cardiovascular health (CVH) in early pregnancy per the American Heart Association Life's Essential 8 (LE8). This is a cross-sectional analysis from the prospective Nulliparous Pregnancy Outcomes Study-Monitoring Mothers-to-Be Heart Health Study (nuMoM2b-HHS) cohort. The exposure was the ADI in tertiles (T) from least (T1) to most (T3) socioeconomic disadvantage.
View Article and Find Full Text PDFBackground: This study presents a comprehensive evaluation of the performance of various large language models in generating responses for ophthalmology emergencies and compares their accuracy with the established United Kingdom's National Health Service 111 online system.
Methods: We included 21 ophthalmology-related emergency scenario questions from the NHS 111 triaging algorithm. These questions were based on four different ophthalmology emergency themes as laid out in the NHS 111 algorithm.