Development and validation of the Chinese osteoporosis screening algorithm (COSA) in identification of people with high risk of osteoporosis.

ABSTRACT:

Objectives

To enhance the public awareness and facilitate diagnosis of osteoporosis, we aim to develop a new Chinese Osteoporosis Screening Algorithm (COSA) to identify people at high risk of osteoporosis.

Methods

A total of 4747 postmenopausal women and men aged ≥ 50 from the Hong Kong Osteoporosis Study were randomly split into a development (N = 2373) and an internal validation cohort (N = 2374). An external validation cohort comprising 1876 community-dwelling subjects was used to evaluate the positive predictive value (PPV).

Results

Among 11 predictors included, age, sex, weight, and history of fracture were significantly associated with osteoporosis after correction for multiple testing. Age- and sex-stratified models were developed due to the presence of signifi

SUBMITTER: Cheung CL 

PROVIDER: S-EPMC10111958 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature