Exploring the value of ChatGPT in selecting antidiabetic agents for type 2 diabetes.

Aims: We investigated the feasibility and effects of using large language models (LLMs), particularly GPTs, to support the selection of anti-diabetic medications for T2DM management based on individual-level clinical information.

Materials And Methods: This retrospective study included adults diagnosed with T2DM who visited the Endocrine Department at Yongin Severance Hospital. ChatGPT 4.

Comparison of Type 2 Diabetes Risk in Osteoporosis Patients Treated with Denosumab or Alendronate: A Nationwide Cohort Study.

Recent studies have suggested potential metabolic effects of anti-osteoporotic medications, but their impact on type 2 diabetes mellitus (T2D) risk remains unclear. This study investigated the incidence of T2D in patients with osteoporosis treated with denosumab or alendronate. Using the Korean Health Insurance Review and Assessment Service database, we identified 316,026 patients who received either denosumab or alendronate between October 2017 and June 2022.

Association Between Handgrip Strength and Cardiovascular Disease Risk in MASLD: A Prospective Study From UK Biobank.

Background: This study aimed to investigate the association between handgrip strength (HGS) and cardiovascular disease (CVD) in individuals with metabolic dysfunction-associated steatotic liver disease (MASLD) using data from the UK Biobank cohort.

Methods: A total of 201 563 participants were enrolled in this study. The HGS was measured using a Jamar J00105 hydraulic hand dynamometer.

Higher mortality and longer length of stay in hospitalized patients with newly diagnosed diabetes.

Aims: We investigated the association between diabetes status at admission and in-hospital outcomes in all hospitalized patients, regardless of the reason for admission.

Methods: All individuals aged 20 years or older who were admitted to Yongin Severance Hospital between March 2020 and February 2022 were included in study. Subjects were categorized into three groups: non-DM, known DM, and newly diagnosed DM, based on medical history, anti-diabetic medications use, and laboratory test.

Deep-Learning-Based Detection of Vertebral Fracture and Osteoporosis Using Lateral Spine X-Ray Radiography.

Osteoporosis and vertebral fractures (VFs) remain underdiagnosed. The addition of deep learning methods to lateral spine radiography (a simple, widely available, low-cost test) can potentially solve this problem. In this study, we develop deep learning scores to detect osteoporosis and VF based on lateral spine radiography and investigate whether their use can improve referral of high-risk individuals to bone-density testing.

Risk of Carotid Atherosclerosis in Subjects with Prediabetes Overlapping Metabolic Syndrome.

While the number of individuals with prediabetes and metabolic syndrome (MetS) is increasing, only a few studies have reported differences in cardiovascular risk according to the presence or absence of MetS in individuals with prediabetes. Here, we examined differences in carotid intima-media thickness (CIMT) and carotid plaques in individuals with prediabetes with or without MetS among subjects who visited a single center in Seoul (Huh Diabetes Center). A total of 328 participants aged ≥20 years, including the group with normoglycemia, were enrolled in the analysis, of which 273 had prediabetes.