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

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Description
  • 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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