Prediction models for the risk of total knee replacement: development and validation using data from multicentre cohort studies.

ABSTRACT:

Background

Few prognostic prediction models for total knee replacement are available, and the role of radiographic findings in predicting its use remains unclear. We aimed to develop and validate predictive models for total knee replacement and to assess whether adding radiographic findings improves predictive performance.

Methods

We identified participants with recent knee pain (in the past 3 months) in the Multicenter Osteoarthritis Study (MOST) and the Osteoarthritis Initiative (OAI). The baseline visits of MOST were initiated in 2003 and of OAI were initiated in 2004. We developed two predictive models for the risk of total knee replacement within 60 months of follow-up by fitting Cox proportional hazard models among participants in MOST. The first model included sociode

SUBMITTER: Liu Q 

PROVIDER: S-EPMC9517949 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature