A5048107858- Diabetes, Cardiovascular Risks, and Lipoproteins
- Liver Disease Diagnosis and Treatment
- Artificial Intelligence in Healthcare
- Diabetes Treatment and Management
- Machine Learning in Healthcare
- Alcohol Consumption and Health Effects
- Metabolism, Diabetes, and Cancer
- Traditional Chinese Medicine Studies
- Bone health and treatments
- Pharmacovigilance and Adverse Drug Reactions
- Cardiovascular Health and Risk Factors
- Bone Metabolism and Diseases
- Body Contouring and Surgery
- Diet, Metabolism, and Disease
- Hepatitis B Virus Studies
- Parkinson's Disease Mechanisms and Treatments
- Hepatitis C virus research
- Lymphatic System and Diseases
- Artificial Intelligence in Healthcare and Education
- Innovation in Digital Healthcare Systems
- Cancer Immunotherapy and Biomarkers
- Acute Ischemic Stroke Management
- Skin Diseases and Diabetes
- Dementia and Cognitive Impairment Research
- NF-κB Signaling Pathways
Kyung Hee University Medical Center
2023-2025
Kyung Hee University
2023-2024
Kyung Hee University Dental Hospital
2024
Jeonju University
2024
University of Ulsan
2022-2023
Asan Medical Center
2022-2023
Ulsan College
2022-2023
Catholic University of Korea
2022
Tongji University
2012
This study aimed to develop and validate a machine learning (ML) model tailored the Korean population with type 2 diabetes mellitus (T2DM) provide superior method for predicting development of cardiovascular disease (CVD), major chronic complication in these patients. We used data from two cohorts, namely discovery (one hospital; n = 12,809) validation (two hospitals; 2019) recruited between 2008 2022. The outcome interest was presence or absence CVD at 3 years. selected various ML-based...
Prolactin is a hormone secreted from lactotroph cells in the anterior pituitary gland to induce lactation after birth. Hyperprolactinemia unrelated common cause of amenorrhea women childbearing age, and consequent decrease gonadotropin-releasing (GnRH) by high prolactin level can result decreased bone mineral density. Osteoporosis skeletal disorder characterized density (BMD) quality, which results strength. In patients with hyperprolactinemia, changes BMD be induced indirectly inhibition...
To evaluate the potential association between suicidality and glucagon-like peptide-1 receptor agonists (GLP-1RAs), as well other medications used for obesity diabetes, using comprehensive global data.
Abstract Background Diabetic retinopathy (DR) is the leading cause of preventable blindness worldwide. Machine learning (ML) systems can enhance DR in community-based screening. However, predictive power models for usability and performance are still being determined. Objective This study used data from 3 university hospitals South Korea to conduct a simple accurate assessment ML-based risk prediction development that be universally applied adults with type 2 diabetes mellitus (T2DM)....
While endocrine disruptors are emerging as a cause of nonalcoholic fatty liver disease (NAFLD), little is known about the link between NAFLD and organochlorine pesticides (OCPs), one disruptors. We retrospectively analyzed U.S. National Health Nutrition Examination Survey 2003-2004 compared baseline demographics in individuals according to presence (fatty index [FLI] ≥ 60). Logistic regression analysis was performed determine whether OCP concentration affected prevalence subgroup analyses...
Sodium-glucose co-transporter 2 inhibitors, such as enavogliflozin, offer promising metabolic benefits for patients with type diabetes (T2D), including glycemic control and improved cardiac function. Despite the clinical evidence, real-world evidence is needed to validate their safety effectiveness. This study aims evaluate effects of weight loss enavogliflozin administration in T2D a setting over 24 weeks. large-scale, prospective, multicenter, non-interventional observational will be...
<title>Abstract</title> Background This study analyzed the prevalence of metabolic syndrome (MetS) among Korean adults aged 19 and older over past 15 years. Methods A cross-sectional data from Korea National Health Nutrition Examination Survey (KNHANES) 2007 to 2022 was conducted. The included 87,397 subjects. MetS defined according Cholesterol Education Program-Third Adult Treatment Panel (NCEP-ATP) III Society for Study Obesity (KOSSO) criteria. Results increased 22.8% in 28.6% but showed...
Long-term therapy with nucleos(t)ide analogs (NUCs) is inevitable for chronic hepatitis B (CHB) patients. However, how NUC on the developing Alzheimer's disease (AD) in these patients remains controversial. This retrospective cohort study used Korean National Health Insurance Service claims database from January 1, 2013, to December 31, treatment naïve CHB and those without previously diagnosed AD. Participants were followed index date until either diagnosis of AD or study's conclusion 2021....
Prolonged therapy using nucleos(t)ide analogs (NUC) is inevitable in patients with chronic hepatitis B (CHB) infection, but its long-term impact on Parkinson's disease (PD) risk remains unclear. This study evaluated the association between NUC and PD incidence a nationwide CHB cohort. The population comprised National Health Insurance Service claims database from January 1, 2013, to December 31, only included treatment naïve those without previously diagnosed PD. Participants were followed...
<sec> <title>UNSTRUCTURED</title> Background: Visiting emergency departments (ED) among patients with Type 2 Diabetes Mellitus (T2DM) is associated adverse outcomes, including increased risks of hospitalization and mortality. Utilizing real-world clinical data, prescription information, to predict the likelihood ED visits could benefit primary care. This study aimed apply machine learning (ML) methods based on electronic medical records (EMR) T2DM. Methods: We analyzed data from five...
Background Several machine learning (ML) prediction models for neurodegenerative diseases (NDs) in type 2 diabetes mellitus (T2DM) have recently been developed. However, the predictive power of these is limited by lack multiple risk factors. Objective This study aimed to assess validity and use an ML model predicting 3-year incidence ND patients with T2DM. Methods We used data from independent cohorts—the discovery cohort (1 hospital; n=22,311) validation (2 hospitals; n=2915)—to predict ND....
Acute inhalation exposure to high levels of manganese (Mn) is associated with pulmonary edema and impaired function. The immune-mediated lung epithelium injury Mn in vivo vitro experiments has been well characterized, whereas its apoptotic effect not defined. Our results show that human bronchial epithelial (16HBE) cells undergo caspase-9-mediated cell death response Mn. Loss mitochondrial membrane potential (ΔΨm), the formation reactive oxygen species release cytochrome c were regulated...
Yujung Lee, Hyunji Sang, Sunyoung Kim, Doo Ah Choi, Sang Youl Rhee, on Behalf of the Committee IT-Convergence Treatment Metabolic Syndrome Korean Society for Study Obesity. J Obes Metab Syndr -0001;0:0-. https://doi.org/10.7570/jomes23074
Background/Aims: Immune checkpoint inhibitors (ICIs) can induce immune-related adverse events, including endocrine dysfunctions, which have serious consequences on patient health and quality of life. The clinical course characteristics hypophysitis (irH) are not well established. This study aimed to analyze the irH.Methods: single-center, retrospective analyzed data from electronic medical records Asan Medical Center, spanning January 2017 through June 2021. It included adult patients with...
Background Abdominal obesity has been suggested as a risk factor for glioma; however, it is unclear whether this association applies to people with diabetes. This study examined the between abdominal and of developing gliomas in diabetic patients. Methods We conducted retrospective cohort using National Health Insurance System South Korea from 2009 2012. The primary outcome was incidence newly diagnosed according waist circumference (WC), subgroup analyses were performed demographic...
Objective: This study aimed to assess the validity and utility of a machine learning (ML) model for predicting 3-year incidence neurodegenerative diseases (ND) in patients with type 2 diabetes (T2DM). Methods: We used data from two cohorts, discovery cohort (one hospital; n=22,311) validation (two hospitals; n=2,915) T2DM recruited between 2008-2022. The outcome interest was presence/absence ND at 3 years. selected different ML-based models hyperparameter tuning conducted an area under...
Gestational diabetes mellitus (GDM) poses significant health risks to both mothers and newborns, requiring rigorous self-management frequent medical consultations. Advances in information communications technology (ICT) have shown promising results reducing the number of in-person visits for GDM management. ICT enhances patient self-care engagement, with some studies reporting reductions average blood glucose HbA1c levels. management has demonstrated benefits such as fewer visits, improved...
<sec> <title>BACKGROUND</title> Several machine learning (ML) prediction models for neurodegenerative diseases (NDs) in type 2 diabetes mellitus (T2DM) have recently been developed. However, the predictive power of these is limited by lack multiple risk factors. </sec> <title>OBJECTIVE</title> This study aimed to assess validity and use an ML model predicting 3-year incidence ND patients with T2DM. <title>METHODS</title> We used data from independent cohorts—the discovery cohort (1 hospital;...
Abstract Disclosure: S. Yun: None. H. Sang: Park: K. Suh: Kim: Chin: Background: In diabetes, prolonged hyperglycemia causes oxidative stress, resulting in pancreatic beta cells' dysfunction and diabetic complications. Oxidative stress can inhibit osteoblast differentiation induce apoptosis. Spironolactone is an aldosterone antagonist used to treat hypertension heart failure. this study, we observed whether spironolactone reduce cytotoxicity caused by induced 2-deoxy-d-ribose (dRib)....