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INTRODUCTION: This prospective, single-arm, crossover pharmacodynamic study assessed the effect of Bayer® low-dose enteric-coated aspirin 81 mg tablets (LD EC-ASA) (Bayer AG, Leverkusen, North Rhine-Westphalia, Germany) compared to Vazalore® low-dose phospholipid-aspirin liquid-filled 81 mg capsules (LD PL-ASA) (PLx Pharma Inc., Sparta, NJ, USA) on platelet reactivity with respect to aspirin reaction units (ARU). METHODS: Forty-seven healthy volunteers were recruited. Platelet function was evaluated with the VerifyNow™ ARU assay (Werfen, Bedford, MA, USA) and assessed post-initiation of Bayer® LD EC-ASA daily for 14 days, with a washout period of 28 days, followed by Vazalore® LD PL-ASA daily for 14 days, again followed by ARU testing. RESULTS: Participants on LD EC-ASA had a mean ARU score of 426, with 19.1% of participants having an ARU > 550; patients on LD PL-ASA derived a mean ARU score of 435, with 14.9% achieving an ARU > 550. There were no significant differences in aspirin resistance (ARU > 550) according to the formulation (Bayer® LD EC-ASA vs. Vazalore® LD PL-ASA) used. Aspirin resistance was independent of ethnicity regardless of the formulation used. In addition, there were no significant associations between body surface area (BSA) and Bayer® LD EC-ASA ARU value (p value 0.788) or Vazalore® LD PL-ASA ARU value (p value 0.477). No patients experienced any serious adverse events or treatment-emergent adverse events. CONCLUSIONS: There were no significant differences in aspirin resistance between Bayer® LD EC-ASA and Vazalore® LD PL-ASA. This dedicated pharmacodynamic study could potentially be informative and applicable for Trinidadian patients on dual antiplatelet therapy (DAPT). Further studies are required to confirm these exploratory findings. TRIAL REGISTRATION: ClinicalTrials.gov identifier, NCT06228820, prospectively registered 1/18/2024.
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The Tityus trinitatis, a black scorpion species endemic to the fauna of Trinidad, has been implicated in envenomation with devastating clinical sequelae such as acute pancreatitis and major adverse cardiovascular events. We present the first in-Caribbean case of a 59-year-old Caribbean South Asian male with human immunodeficiency virus who presented with a non-ST-segment-elevation acute coronary syndrome after being stung, which was managed with comprehensive, guideline-directed medical therapy. The clinician should be cognizant of scorpion-induced acute coronary syndrome (ACS) as a potential sequela of envenomation and its clinical management.
Assuntos
Síndrome Coronariana Aguda , Picadas de Escorpião , Humanos , Masculino , Síndrome Coronariana Aguda/induzido quimicamente , Síndrome Coronariana Aguda/etiologia , Pessoa de Meia-Idade , Picadas de Escorpião/complicações , Picadas de Escorpião/tratamento farmacológico , Animais , Eletrocardiografia , Escorpiões , Trinidad e TobagoRESUMO
In the evolution of modern medicine, artificial intelligence (AI) has been proven to provide an integral aspect of revolutionizing clinical diagnosis, drug discovery, and patient care. With the potential to scrutinize colossal amounts of medical data, radiological and histological images, and genomic data in healthcare institutions, AI-powered systems can recognize, determine, and associate patterns and provide impactful insights that would be strenuous and challenging for clinicians to detect during their daily clinical practice. The outcome of AI-mediated search offers more accurate, personalized patient diagnoses, guides in research for new drug therapies, and provides a more effective multidisciplinary treatment plan that can be implemented for patients with chronic diseases. Among the many promising applications of AI in modern medicine, medical imaging stands out distinctly as an area with tremendous potential. AI-powered algorithms can now accurately and sensitively identify cancer cells and other lesions in medical images with greater accuracy and sensitivity. This allows for earlier diagnosis and treatment, which can significantly impact patient outcomes. This review provides a comprehensive insight into diagnostic, therapeutic, and ethical issues with the advent of AI in modern medicine.