D J Hunter1. 1. Division of Research, New England Baptist Hospital, 125 Parker Hill Avenue, Boston, MA 02120, United States. djhunter@caregroup.harvard.edu
Abstract
OBJECTIVE: A narrative review describing the assessment of osteoarthritis (OA) progression, and more specifically the risk factors which assist in delineating strata of individuals at greatest risk for more rapid progression. DESIGN: A narrative review based on selected recent medical literature. RESULTS: With little currently available in the treatment of this disease, better understanding of responsive and valid endpoints is essential to identifying potential new interventions for treatment of OA. Efforts to stratify those at greatest risk for progression can use a number of systemic or local risk factors that may assist in delineating populations at greater risk for progression. CONCLUSIONS: Current data suggests that stratification of risk is feasible to ascertain those at risk for rapid progression using a number of different metrics including knee alignment, meniscal damage, bone marrow lesions and late stage disease. Identifying persons at greatest risk for progression has important implications for clinical trial planning and can enhance study efficiency.
OBJECTIVE: A narrative review describing the assessment of osteoarthritis (OA) progression, and more specifically the risk factors which assist in delineating strata of individuals at greatest risk for more rapid progression. DESIGN: A narrative review based on selected recent medical literature. RESULTS: With little currently available in the treatment of this disease, better understanding of responsive and valid endpoints is essential to identifying potential new interventions for treatment of OA. Efforts to stratify those at greatest risk for progression can use a number of systemic or local risk factors that may assist in delineating populations at greater risk for progression. CONCLUSIONS: Current data suggests that stratification of risk is feasible to ascertain those at risk for rapid progression using a number of different metrics including knee alignment, meniscal damage, bone marrow lesions and late stage disease. Identifying persons at greatest risk for progression has important implications for clinical trial planning and can enhance study efficiency.
Authors: H-G Wisniewski; E Colón; V Liublinska; R J Karia; T V Stabler; M Attur; S B Abramson; P A Band; V B Kraus Journal: Osteoarthritis Cartilage Date: 2013-12-12 Impact factor: 6.576
Authors: B Guan; F Liu; A Haj-Mirzaian; S Demehri; A Samsonov; T Neogi; A Guermazi; R Kijowski Journal: Osteoarthritis Cartilage Date: 2020-02-06 Impact factor: 6.576
Authors: T E Macrini; H B Coan; S M Levine; T Lerma; C D Saks; D J Araujo; T L Bredbenner; R D Coutts; D P Nicolella; L M Havill Journal: Osteoarthritis Cartilage Date: 2013-03-14 Impact factor: 6.576
Authors: Virginia Byers Kraus; Sheng Feng; ShengChu Wang; Scott White; Maureen Ainslie; Alan Brett; Anthony Holmes; H Cecil Charles Journal: Arthritis Rheum Date: 2009-12
Authors: Virginia Byers Kraus; Sheng Feng; ShengChu Wang; Scott White; Maureen Ainslie; Marie-Pierre Hellio Le Graverand; Alan Brett; Felix Eckstein; David J Hunter; Nancy E Lane; Mihra S Taljanovic; Thomas Schnitzer; H Cecil Charles Journal: Arthritis Rheum Date: 2013-07
Authors: Virginia Byers Kraus; Jamie E Collins; H Cecil Charles; Carl F Pieper; Lawrence Whitley; Elena Losina; Michael Nevitt; Steve Hoffmann; Frank Roemer; Ali Guermazi; David J Hunter Journal: Arthritis Rheumatol Date: 2017-12-15 Impact factor: 10.995