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Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study.

JMIR Med Inform

January 2025

Department of Endocrinology and Metabolism, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.

Background: Many tools have been developed to predict the risk of diabetes in a population without diabetes; however, these tools have shortcomings that include the omission of race, inclusion of variables that are not readily available to patients, and low sensitivity or specificity.

Objective: We aimed to develop and validate an easy, systematic index for predicting diabetes risk in the Asian population.

Methods: We collected the data from the NAGALA (NAfld [nonalcoholic fatty liver disease] in the Gifu Area, Longitudinal Analysis) database.

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Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have revolutionized the treatment of cardiometabolic diseases, extending their therapeutic applications far beyond glycemic control in type 2 diabetes (T2D) and obesity. This editorial synthesizes key milestones, from the discovery of GLP-1 to recent clinical trials highlighting the pleiotropic effects of GLP-1RAs in addressing the interconnected spectrum of cardiometabolic conditions, with a focus on cardiovascular, renal, and hepatic benefits. In addition, as GLP-1RAs continue to reshape the management of cardiometabolic disease and global public health, we discuss future challenges to better elucidate their mechanisms of cardiometabolic protection and maximize their therapeutic potential.

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Introduction: Bone marrow-derived mesenchymal stem cell-derived extracellular vesicles (BMSC-EVs) are widely used for therapeutic purposes in preclinical studies. However, their utility in treating diabetes-associated atherosclerosis remains largely unexplored. Here, we aimed to characterize BMSC-EV-mediated regulation of autophagy and macrophage polarization.

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Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.

Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.

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Background: Deprescribing, intentional medication discontinuation or dose reduction, can reduce potentially inappropriate medication use and medication-related harms. Engaging patients in deprescribing discussions may increase likelihood of deprescribing and promote shared decision-making.

Objective: To examine the impact of patient-directed educational brochures on patient engagement and deprescribing discussions with primary care providers (PCPs).

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