A community screening tool for neuropsychiatric symptoms in the elderly: integrating cortisol, microbiome, and social factors with machine learning.

ABSTRACT: Neuropsychiatric symptoms (NPS) are early indicators of cognitive decline due to neurodegenerative diseases, and their timely detection is of the utmost importance. We aimed to develop and validate methods for large-scale NPS screening among elderly individuals and explore underlying metabolic mechanisms. This observational, cross-section study involved 138 and 200 participants in the modeling and external validation cohorts, respectively, chosen from community healthcare centers in Chongqing, China. Data collection involved demographic questionnaires, saliva samples for oral microbiome analysis, and assays for other biomarkers (IL-6, IL-1β, TNF-α, Cath-B and cortisol). EXtreme gradient boosting(XGBoost), support vector machine(SVM), and logistic regression(LR) were developed with RFE and

SUBMITTER: Liu P 

PROVIDER: S-EPMC12804694 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature