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

open in viewer
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.

    Keywor... read more
This object is in collection Permanent URL
ID:
xk81jz08t
To Cite:
DCA Citation Guide    EndNote
Usage:
Detailed Rights