Publications by authors named "Daijun He"
Associations of glycemic status with dynamic disease trajectories of atrial fibrillation and dementia.
J Prev Alzheimers Dis
January 2025
Background: Atrial fibrillation (AF) has been associated with elevated dementia risk, while few studies have examined the role of the optimal glycemic status in disease trajectories of AF and dementia.
Objectives: We aim to evaluate associations between glycemic status with disease trajectories of AF and dementia, as well as major dementia subtypes, including Alzheimer's disease and vascular dementia.
Design: Population-based cohort study.
Background: Associations between napping and incident atrial fibrillation (AF) remain unknown, and few studies have accounted for dynamic transitions between AF and dementia.
Objectives: The purpose of this study was to evaluate associations between napping with incident AF and the dynamic transitions of AF and dementia, as well as the mediation pathway of left ventricular (LV) size and function.
Methods: A total of 476,588 participants from UK Biobank were included.
Article Synopsis
- The study aimed to explore how differences in estimated glomerular filtration rates (eGFR) based on cystatin C versus creatinine levels relate to diabetic microvascular complications (DMCs) in participants with diabetes.
- It included 25,825 diabetes patients without DMCs at the start and tracked their health over 13.6 years, discovering significant associations between larger eGFR differences and increased risks of complications like diabetic retinopathy, kidney disease, and neuropathy.
- The findings suggest that monitoring these eGFR differences could help identify diabetes patients at high risk for developing serious microvascular complications.
Article Synopsis
- The study aimed to investigate how the difference between cystatin C- and creatinine-based estimated glomerular filtration rates (eGFRdiff) relates to mortality and cardiovascular events in diabetes patients.
- Data was analyzed from three major cohorts involving thousands of adults with diabetes across China, the USA, and the UK, looking at their eGFRdiff alongside mortality and cardiovascular outcomes.
- Findings indicated that higher baseline eGFRdiff was linked to lower risks of death and cardiovascular events, suggesting that monitoring both types of eGFR can provide valuable insights for clinical care in diabetes management.
Solving Math Word Problems (MWPs) automatically is a challenging task for AI-tutoring in online education. Most of the existing State-Of-The-Art (SOTA) neural models for solving MWPs use Goal-driven Tree-structured Solver (GTS) as their decoders. However, owing to the defects of the tree-structured recurrent neural networks, GTS can not obtain the information of all generated nodes in each decoding time step.
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