Unknown

Dataset Information

Blood predictive biomarkers for cognitive impairment among community-dwelling older adults: a cross-sectional study in China.


ABSTRACT: Cognitive impairment is a common health problem. However, it is often ignored in primary healthcare due to complex examination. To develop biomarkers through easily accessible blood tests, we conducted a cross-sectional analysis including 2806 healthy Chinese adults aged over 60 years old who finished the cognition assessment though Mini-Mental State Examination as well as blood routine and biochemical examination from four communities in China between July 2020 and September 2021. The blood biomarkers commonly selected by RFE and LASSO with cross-validation in the training dataset were levels of hemoglobin, high density lipoprotein, alkaline phosphatase, direct bilirubin, globulin, creatinine, magnesium, and calcium. We developed XGBoost, logistic regression and SVM models with cross-vali

SUBMITTER: Dong B 

PROVIDER: S-EPMC11882945 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature