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Classifying Continuous Glucose Monitoring Documents From Electronic Health Records.
J Diabetes Sci Technol
March 2025
Department of Population Health, Grossman School of Medicine, New York University, New York, NY, USA.
Background: Clinical use of continuous glucose monitoring (CGM) is increasing storage of CGM-related documents in electronic health records (EHR); however, the standardization of CGM storage is lacking. We aimed to evaluate the sensitivity and specificity of CGM Ambulatory Glucose Profile (AGP) classification criteria.
Methods: We randomly chose 2244 (18.
Despite the critical importance of emergency exercises for emergency preparedness, there are major deficiencies in some organizations in managing their exercises. Lack of a comprehensive and systematic approach to emergency exercises can waste organizational resources and diminish the response confidence. The present study was conducted to identify and prioritize influencing success factors for planning, implementing, and improving the exercise process.
View Article and Find Full Text PDFFlow-cytometric MRD detection in pediatric T-ALL: a multicenter AIEOP-BFM consensus-based guided standardized approach.
Clin Chem Lab Med
March 2025
CLIP (Childhood Leukaemia Investigation Prague), Prague, Czech Republic.
Objectives: Risk-based stratification approaches using measurable residual disease (MRD) successfully help to identify T-acute lymphoblastic leukemia (T-ALL) patients at risk of relapse, whose treatment outcomes are very poor. Because of T-ALL heterogeneity and rarity, a reliable and standardized approach for flow cytometry (FC)-based MRD measurement and analysis is often missing.
Methods: Within the international AIEOP-BFM-ALL-FLOW study group we made a consensus on markers and a standard operating procedure for common 8- and 12-color T-ALL MRD panels.
Transcultural Adaptation, Validation, Psychometric Analysis, and Interpretation of the 22-Item Thai Senior Technology Acceptance Model for Mobile Health Apps: Cross-Sectional Study.
JMIR Aging
March 2025
Department of Community Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Background: The rapid advancement of technology has made mobile health (mHealth) a promising tool to mitigate health problems, particularly among older adults. Despite the numerous benefits of mHealth, assessing individual acceptance is required to address the specific needs of older people and promote their intention to use mHealth.
Objective: This study aims to adapt and validate the senior technology acceptance model (STAM) questionnaire for assessing mHealth acceptance in the Thai context.
Correction: Assessing the Informational Value of Large Language Models Responses in Aesthetic Surgery: A Comparative Analysis with Expert Opinions.
Aesthetic Plast Surg
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Plastic Surgery Department, Sapienza University, Policlinico Umberto 1, Via Redi 2, San Giuliano Terme, Pisa, Rome, Italy.
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