Development of a clinical prediction algorithm for knee osteoarthritis structural progression in a cohort study: value of adding measurement of subchondral bone density.

LaValley, Michael P.
Lo, Grace H.
Price, Lori Lyn.
Driban, Jeffrey B.
Eaton, Charles B.
McAlindon, Timothy E.
2017

Background: Risk prediction algorithms increase understanding of which patients are at greatest risk of a harmful outcome. Our goal was to create a clinically useful prediction algorithm for structural progression of knee osteoarthritis (OA), using medial joint space loss as a proxy; and to quantify the benefit of including periarticular bone mineral density (BMD) in the algorithm.

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http://hdl.handle.net/10427/012333
ID: tufts:22232
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