Management of type 1 diabetes during physical activity and exercise remains challenging despite advancements in diabetes technology, including continuous glucose monitoring (CGM) and automated insulin delivery (AID) systems. Approach to the patient as a health care provider (HCP) involves careful consideration of numerous patient-specific goals and factors including a patient's motivations for regular physical activity and exercise, patient baseline characteristics and exercise self-management knowledge base, features of the activity types being planned and/or performed, the timing of the various activities in relation to meals and insulin dosing, and the type of insulin therapy and other medications that may be used. Here we present a novel systematic approach to the patient and guidelines for clinical consultation using a "Who, What, When, Where, Why, and How" approach and consideration of the 4 key phases of exercise management: before, during, after, and between episodes - described here as Prepare, Perform, Stabilize, and Study. We offer this information using a case-based approach to illustrate these important considerations.
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http://dx.doi.org/10.1210/clinem/dgaf136 | DOI Listing |
Am J Speech Lang Pathol
March 2025
Communication Disorders and Sciences, University of Oregon, Eugene.
Purpose: Medically tailored transitional foods (TFs) may be a clinically viable alternative to pureed consistency for individuals requiring texture-modified foods. However, little remains known about the performance of TFs during the swallow. The purpose of this investigation was to describe oropharyngeal swallowing physiology in patients with dysphagia during consumption of TFs as compared to pureed solids.
View Article and Find Full Text PDFJMIR Med Inform
March 2025
LynxCare Inc, Leuven, Belgium.
Background: Processing data from electronic health records (EHRs) to build research-grade databases is a lengthy and expensive process. Modern arthroplasty practice commonly uses multiple sites of care, including clinics and ambulatory care centers. However, most private data systems prevent obtaining usable insights for clinical practice.
View Article and Find Full Text PDFJ Med Internet Res
March 2025
Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Westmead, Australia.
Background: Conversational artificial intelligence (AI) allows for engaging interactions, however, its acceptability, barriers, and enablers to support patients with atrial fibrillation (AF) are unknown.
Objective: This work stems from the Coordinating Health care with AI-supported Technology for patients with AF (CHAT-AF) trial and aims to explore patient perspectives on receiving support from a conversational AI support program.
Methods: Patients with AF recruited for a randomized controlled trial who received the intervention were approached for semistructured interviews using purposive sampling.
JMIR Res Protoc
March 2025
Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States.
Background: Amyotrophic lateral sclerosis (ALS) leads to rapid physiological and functional decline before causing untimely death. Current best-practice approaches to interdisciplinary care are unable to provide adequate monitoring of patients' health. Passive in-home sensor systems enable 24×7 health monitoring.
View Article and Find Full Text PDFPediatr Infect Dis J
March 2025
Divisions of Pediatric Emergency Medicine and Pediatric Infectious Diseases, Baylor College of Medicine, Houston, Texas.
Background: Infection is a leading cause of death after pediatric heart transplants (PHTs). Understanding of common pathogens is needed to guide testing strategies and empiric antibiotic use.
Methods: We conducted a 3-center retrospective study of PHT recipients ≤18 years old presenting to cardiology clinics or emergency departments (EDs) from 2010 to 2018 for evaluation of suspected infections within 2 years of transplant.
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