Prevalence and risk factors for bone loss in rheumatoid arthritis patients from South China: modeled by three methods.

ABSTRACT:

Background

To explore the prevalence of bone loss among patients with rheumatoid arthritis (RA) and healthy controls (HC) and further explored the risk factors for osteopenia and osteoporosis of RA patients.

Methods

A cross-sectional survey was undertaken in four hospitals in different districts in South China to reveal the prevalence of bone loss in patients. Case records, laboratory tests, and bone mineral density (BMD) results of patients were collected. Traditional multivariable logistic regression analysis and two machine learning methods, including least absolute shrinkage selection operator (LASSO) and random forest (RF) were for exploring the risk factors for osteopenia or osteoporosis in RA patients.

Results

Four hundred five patients with RA and 198 HC were

SUBMITTER: Hu Z 

PROVIDER: S-EPMC8199806 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature