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

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. Methods Participants were from the Osteoarthritis Initiative (OAI) Progression Cohort, with X-ray readings of medial joint space at 36- and 48-month visits, and a 30- or 36-month medial-to-lateral tibial BMD ratio (M... Mehr ...

Verfasser: Michael P LaValley
Dokumenttyp: Artikel
Reihe/Periodikum: Arthritis research & therapy
Verlag/Hrsg.: London, BioMed Central
Sprache: Englisch
ISSN: 1478-6354
Weitere Identifikatoren: doi: 10.1186/s13075-017-1291-3
Permalink: https://search.fid-benelux.de/Record/olc-benelux-1995453404
URL: NULL
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Datenquelle: Online Contents Benelux; Originalkatalog
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Link(s) : http://dx.doi.org/10.1186/s13075-017-1291-3
http://dx.doi.org/10.1186/s13075-017-1291-3
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