Introduction: Adverse drug events (ADEs) are associated with poor outcomes and increased costs but may be prevented with prediction tools. With the National Institute of Health All of Us (AoU) database, we employed machine learning (ML) to predict selective serotonin reuptake inhibitor (SSRI)-associated bleeding.
Methods: The AoU program, beginning in 05/2018, continues to recruit ≥ 18 years old individuals across the United States.
Background: There are no clear dosing recommendations when using apixaban for venous thromboembolism (VTE) treatment in patients with severe or end-stage renal disease; clinical trials excluded patients with a creatinine clearance (CrCl) <25 mL/min or on dialysis. This study compares bleeding rates in patients with severe or end-stage renal disease taking standard versus reduced dose apixaban for VTE treatment.
Materials And Methods: This was a multicenter, retrospective cohort study using electronic medical records between January 1, 2013, and August 31, 2021.
Diabetes complications remain a leading cause of death, which may be due to poor glycemic control resulting from medication nonadherence. The relationship between adherence status and HbA1c (glycemic control) has not been well-studied for clinical pharmacist interventions. This study evaluated medication adherence, patient satisfaction, and HbA1c, in a collaborative pharmacist-endocrinologist diabetes clinic over 6 months.
View Article and Find Full Text PDFBackground: In 2012 U.S. diabetes costs were estimated to be $245 billion, with $176 billion related to direct diabetes treatment and associated complications.
View Article and Find Full Text PDFObjective: To report a case of foodborne botulism and subsequent use of the investigational heptavalent botulism antitoxin (H-BAT).
Case Summary: A 60-year-old man was hospitalized with blurred vision, diplopia, and dysarthria. On hospital day 2, the patient was transferred to the intensive care unit for progressive fatigable weakness with ptosis, dysphagia, dysarthria, and nausea.