98%
921
2 minutes
20
Objective: This study aims to develop a machine learning-based classification model for cognitive impairment (CI) in elderly deaf patients and analyze the contributions of blood indices and hearing characteristics in identifying CI.
Methods: Blood and audiometric data from 833 elderly deaf patients across three NHANES cycles were used to build a classification model with five algorithms: Logistic Regression, Random Forest (RF), XGBoost, Artificial Neural Networks (ANN), and Support Vector Machine (SVM). The optimal model was selected to rank feature importance.
Results: The RF model, with an AUC of 0.834, performed best. Key predictors of CI included gender, systolic blood pressure, PTA+3kHz, neutrophil percentage, calcium, 6kHz hearing threshold, glycated hemoglobin, lymphocyte count,etc.
Conclusion: Hematological markers and hearing thresholds, especially the 3kHz threshold, are significant in identifying CI in ARHL, suggesting the need for further clinical exploration.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.gerinurse.2025.02.011 | DOI Listing |
JAMA Neurol
September 2025
Translational Neuropathology Research Laboratory, Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia.
Importance: Exposure to fine particulate matter air pollution (PM2.5) may increase risk for dementia. It is unknown whether this association is mediated by dementia-related neuropathologic change found at autopsy.
View Article and Find Full Text PDFJAMA Pediatr
September 2025
Department of Pediatrics and Emergency Medicine, Children's National Hospital, George Washington University, Washington, DC.
Importance: Adolescents account for almost half of the 2.5 million diagnosed sexually transmitted infections in the US annually, and the emergency department functions as the primary source of health care for many adolescents. No recommendations exist for emergency department gonorrhea and chlamydia screening.
View Article and Find Full Text PDFMetab Brain Dis
September 2025
Department of Pharmacology and Toxicology, Faculty of Pharmacy, Cairo University, Cairo, Egypt.
Acute or chronic liver damage can result in Hepatic Encephalopathy (HE), a potentially fatal neuropsychiatric condition that leads to cerebral and neurological alterations. Dapagliflozin (DAPA), an orally active Sodium/Glucose cotransporter 2 inhibitor with long duration of action. The study aim was to evaluate the potential protective impact of DAPA against HE caused by Thioacetamide (TAA) in rats.
View Article and Find Full Text PDFFish Physiol Biochem
September 2025
Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM's Narsee Monjee Institute of Management Studies, Mumbai, 56, India.
Zebrafish models have been used to research Alzheimer's disease and other neurodegenerative disorders because of their similarities to the human genetic composition and behavior. Researchers have detected iron accumulation in the post-mortem brain sections of neurodegenerative disorder patients. Therefore, the development an animal model to simulate these clinical pathological findings is important.
View Article and Find Full Text PDFJ Cereb Blood Flow Metab
September 2025
iInstitut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS, INPT, Université Toulouse III - Paul Sabatier (UPS), Toulouse, France.
Cerebral Amyloid Angiopathy, a common age-related small vessel disease leading to hemorrhagic stroke, shares many characteristics with Alzheimer's disease: toxic amyloid deposits, microvascular alterations and enlarged perivascular spaces (EPVS). Together, PVS enlargement, reduced amyloid-β clearance and further accumulation form a vicious cycle underlying disease progression. Yet, the neuropathological correlates of EPVS, including the associated angioarchitecture, are poorly understood.
View Article and Find Full Text PDF