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Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is strongly associated with insulin resistance (IR). This study examined the relationship between estimated glucose disposal rate (eGDR), a simple IR indicator, and MASLD risk.
Methods: Using NHANES 2017-2018 data ( = 3,957), MASLD was diagnosed by CAP ≥285 dB/m. eGDR was calculated from waist circumference, hypertension, and HbA1c.
Results: Lower eGDR significantly predicted higher MASLD risk (OR = 0.396, < 0.01) and elevated CA values ( = -21.375, < 0.01). It also correlated with unfavorable lipid profiles (lower HDL, higher triglycerides). Subgroup analyses showed consistent associations across age, sex, and diabetes status.
Conclusion: Estimated glucose disposal rate was significantly associated with both MASLD and dyslipidemia. eGDR may serve as a useful indicator for identifying risk factors related to these metabolic disorders. Mediation analysis revealed that relative fat mass (RFM), (high-density lipoprotein cholesterol) HDL, triglyceride (TG), visceral adiposity index (VAI), and uric acid to HDL ratio (UHR) mediated the association between eGDR and MASLD, with respective proportions of 61.09, 6.79, 6.53, 9.85, and 12.9%.
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http://dx.doi.org/10.3389/fnut.2025.1621074 | DOI Listing |
Diabetes Res Clin Pract
September 2025
Division of Endocrinology and Metabolism, Department of Internal Medicine, Faculty of Medicine, Canakkale Onsekiz Mart University, Canakkale, Turkey.
Aims: The mixed-meal tolerance test (MMTT), though considered the gold standard for evaluating residual beta-cell function in type 1 diabetes mellitus (T1D), is impractical for routine use. We aimed to develop and validate a machine learning (ML) model to predict MMTT-stimulated C-peptide categories using routine clinical data.
Methods: Data from 319 individuals in the T1D Exchange Registry with complete MMTT and clinical information were analyzed.
Heart Lung Circ
September 2025
Centre of Excellence for Cardiometabolic Health, Fiona Stanley Hospital, Perth, WA, Australia; Department of Cardiology, Fiona Stanley Hospital, Perth, WA, Australia; Medical School, The University of Western Australia, Perth, WA, Australia; Harry Perkins Institute of Medical Research, Perth, WA, Au
Background: In patients with type 2 diabetes (T2D) and chronic kidney disease (CKD), sodium-glucose cotransporter 2 (SGLT2) inhibitors, semaglutide (glucagon-like peptide-1 [GLP-1] agonist), and finerenone (non-steroidal mineralocorticoid receptor antagonist) improve renal and cardiovascular outcomes. We assessed real-world prescribing of these drugs in patients with T2D and CKD.
Method: The ReDiCare project retrospectively identified patients with T2D and CKD admitted to an Australian hospital between January 2020 and September 2024 using International Statistical Classification of Diseases and Related Health Problems 10th Revision Australian Modification codes.
J Neurol Sci
September 2025
Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, United States of America.
Background: A key limitation of the IMPACT model for prognostication after severe traumatic brain injury (TBI) is the use of predictors from hospital admission only. We sought to identify if including daily blood labs (e.g.
View Article and Find Full Text PDFFront Public Health
September 2025
Nursing Department, Peking University Third Hospital, Beijing, China.
Background: Metabolic dysfunction-associated fatty liver disease (MAFLD) refer to fatty liver disease related to systemic metabolic dysregulation, which is closely related to unhealthy lifestyles such as staying up late and eating irregularly. MAFLD has become most prevalent chronic liver disease and become a high incidence disease among nurses. Health and good condition of nurses are the basis to ensure the safety and quality of life of patients.
View Article and Find Full Text PDFChin Med J (Engl)
September 2025
Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-Communicable Diseases, Soochow University, Suzhou, Jiangsu 215123, China.
Background: Stroke is the leading cause of death and long-term disability worldwide, including China. This study aimed to provide timely updates on stroke burden and stroke-related risk factors to help improve population-based prevention and control strategies.
Methods: Based on the Global Burden of Disease study 2021, incidence rate, prevalence rate, mortality rate, and disability-adjusted life-year (DALY) rate were used to estimate stroke burden trend from 1990 to 2021.