Knee tissue lesions and prediction of incident knee osteoarthritis over 7 years in a cohort of persons at higher risk.

ABSTRACT:

Objective

Among high risk individuals, whether knee lesions in tissues involved in osteoarthritis (OA) can improve prediction of knee OA is unclear. We hypothesized that models predicting (1) incident osteophytes and (2) incident osteophytes and joint space narrowing can be improved by including symptoms or function, and further improved by lesion status.

Design

In Osteoarthritis Initiative (OAI) participants with normal knee X-rays, we assessed cartilage damage, bone marrow lesions (BMLs), and menisci. Cox proportional hazards models were used to develop risk prediction models for risk of each outcome. Nested models (increasingly larger baseline covariable sets) were compared using likelihood ratio tests and Schwarz Bayesian Information Criterion (SBC). Model discrimination

SUBMITTER: Sharma L 

PROVIDER: S-EPMC5466844 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature