ArticlemedRxiv : the preprint server for health sciences2025
Hypergraph Clustering for Analyzing Chronic Disease Patterns in Mild Cognitive Impairment Reversion and Progression.
Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Limited research has explored the preceding sequences of medical conditions leading to mild cognitive impairment (MCI), particularly patterns that may signal progression to dementia or reversion to normal cognition. Objectives: Our study aims to analyze common Methods: We categorize participants into two groups (i) M2P: stay or progressed to dementia, or (ii) M2N: reversion to normal within 5 years after the first onset of MCI. Among 414 participants, 210 are males and the mean age is 80.8 years. We performed network analysis to obtain categories and sequences of chronic conditions. We applied hypergraph spectral clustering to characterize participants with similar sequences. Results Results: We identify and validate the generic key indicators (e.g., chronic kidney disease), highlight the sex-specific potential indicators (e.g., arthritis) for MCI reversal, and open new research directions for identifying potential disparities among men and women. Conclusion: We categorized the chronic conditions preceding MCI diagnosis and discovered unique sequences suggesting MCI reversion among men and women to facilitate future research.
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