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Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007-2016.
Sci Rep
January 2025
Department of Anesthesiology and Surgical Intensive Care Unit, Kunming Children's Hospital, Kunming, Yunnan, China.
Metabolic syndrome (Mets) in adolescents is a growing public health issue linked to obesity, hypertension, and insulin resistance, increasing risks of cardiovascular disease and mental health problems. Early detection and intervention are crucial but often hindered by complex diagnostic requirements. This study aims to develop a predictive model using NHANES data, excluding biochemical indicators, to provide a simple, cost-effective tool for large-scale, non-medical screening and early prevention of adolescent MetS.
View Article and Find Full Text PDFStudy protocol of the PRINCESS trial-PReoperative INtermittent fasting versus CarbohydratE loading to reduce inSulin resiStance versus standard of care in orthopaedic patients: a randomised controlled trial.
BMJ Open
January 2025
Department of Anaesthesiology, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.
Introduction: Surgical trauma induces a metabolic stress response, resulting in reduced insulin sensitivity and hyperglycaemia. Postoperative insulin resistance (IR) is associated with postoperative complications, and extended preoperative fasting may further aggravate the postoperative metabolic stress response. Nutritional strategies, such as carbohydrate loading (CHL), have been successfully used to attenuate postoperative IR.
View Article and Find Full Text PDFInvestigating the role of the metabolic score for visceral Fat in assessing the prevalence of chronic kidney disease from the NHANES 1999-2018.
Sci Rep
January 2025
Department of Pathology, College of Basic Medicine, Chongqing Medical University, Chongqing, China.
This study investigates the association between the Metabolic Score for Visceral Fat (METS-VF) and chronic kidney disease (CKD), assessing METS-VF as a potential predictor of CKD risk. Utilizing data from the 1999-2018 National Health and Nutrition Examination Survey (NHANES), this cross-sectional study included 24,387 adult participants. Multivariable logistic regression, restricted cubic spline models, and threshold effect analyses were employed to explore the relationship.
View Article and Find Full Text PDFThe impact of metabolic syndrome on hepatocellular carcinoma: a mendelian randomization study.
Sci Rep
January 2025
Medical Innovation Center, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 17, Yongwai Main Street, Nanchang, 330006, Jiangxi, China.
Traditional epidemiological studies are susceptible to confounding factors. To clarify the impact of metabolic syndrome and its diagnostic components on hepatocellular carcinoma, we conducted a preliminary mendelian randomization analysis with metabolic syndrome and its diagnostic components as exposures and hepatocellular carcinoma as the outcome. Another set of genetic data related to hepatocellular carcinoma was used as a validation cohort, repeating the mendelian randomization analysis and combining the two groups for a meta-analysis.
View Article and Find Full Text PDFTools for regulating metabolic diseases: extracellular vesicles from adipose macrophages.
Front Endocrinol (Lausanne)
December 2024
Department of Rehabilitation, Jiujiang College Hospital, Jiujiang, Jiangxi, China.
Metabolic diseases have gradually become one of the most significant global medical burdens. Diseases such as obesity, diabetes, and metabolic syndrome, along with their complications, are clinically categorized as metabolic diseases. Long-term oral medication significantly reduces patient compliance and quality of life.
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