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 ...
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Dokumenttyp: | Artikel |
Reihe/Periodikum: | Arthritis research & therapy |
Verlag/Hrsg.: |
London,
BioMed Central
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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 NULL |
Datenquelle: | Online Contents Benelux; Originalkatalog |
Powered By: | Verbundzentrale des GBV (VZG) |
Link(s) : | http://dx.doi.org/10.1186/s13075-017-1291-3
http://dx.doi.org/10.1186/s13075-017-1291-3 |