Literature DB >> 36161341

Structural phenotypes of knee osteoarthritis: potential clinical and research relevance.

Frank W Roemer1,2, Mohamed Jarraya3, Jamie E Collins4, C Kent Kwoh5, Daichi Hayashi6, David J Hunter7, Ali Guermazi8,9.   

Abstract

A joint contains many different tissues that can exhibit pathological changes, providing many potential targets for treatment. Researchers are increasingly suggesting that osteoarthritis (OA) comprises several phenotypes or subpopulations. Consequently, a treatment for OA that targets only one pathophysiologic abnormality is unlikely to be similarly efficacious in preventing or delaying the progression of all the different phenotypes of structural OA. Five structural phenotypes have been proposed, namely the inflammatory, meniscus-cartilage, subchondral bone, and atrophic and hypertrophic phenotypes. The inflammatory phenotype is characterized by marked synovitis and/or joint effusion, while the meniscus-cartilage phenotype exhibits severe meniscal and cartilage damage. Large bone marrow lesions characterize the subchondral bone phenotype. The hypertrophic and atrophic OA phenotype are defined based on the presence large osteophytes or absence of any osteophytes, respectively, in the presence of concomitant cartilage damage. Limitations of the concept of structural phenotyping are that they are not mutually exclusive and that more than one phenotype may be present. It must be acknowledged that a wide range of views exist on how best to operationalize the concept of structural OA phenotypes and that the concept of structural phenotypic characterization is still in its infancy. Structural phenotypic stratification, however, may result in more targeted trial populations with successful outcomes and practitioners need to be aware of the heterogeneity of the disease to personalize their treatment recommendations for an individual patient. Radiologists should be able to define a joint at risk for progression based on the predominant phenotype present at different disease stages.
© 2022. The Author(s).

Entities:  

Keywords:  Clinical trial; MRI; Osteoarthritis; Phenotypes; Structure

Year:  2022        PMID: 36161341     DOI: 10.1007/s00256-022-04191-6

Source DB:  PubMed          Journal:  Skeletal Radiol        ISSN: 0364-2348            Impact factor:   2.128


  57 in total

1.  Increasing prevalence of knee pain and symptomatic knee osteoarthritis: survey and cohort data.

Authors:  Uyen-Sa D T Nguyen; Yuqing Zhang; Yanyan Zhu; Jingbo Niu; Bin Zhang; David T Felson
Journal:  Ann Intern Med       Date:  2011-12-06       Impact factor: 25.391

2.  Restricted activity days among older adults.

Authors:  M R Kosorok; G S Omenn; P Diehr; T D Koepsell; D L Patrick
Journal:  Am J Public Health       Date:  1992-09       Impact factor: 9.308

Review 3.  Disease-modifying treatments for osteoarthritis (DMOADs) of the knee and hip: lessons learned from failures and opportunities for the future.

Authors:  M A Karsdal; M Michaelis; C Ladel; A S Siebuhr; A R Bihlet; J R Andersen; H Guehring; C Christiansen; A C Bay-Jensen; V B Kraus
Journal:  Osteoarthritis Cartilage       Date:  2016-08-02       Impact factor: 6.576

4.  OA phenotypes, rather than disease stage, drive structural progression--identification of structural progressors from 2 phase III randomized clinical studies with symptomatic knee OA.

Authors:  M A Karsdal; A Bihlet; I Byrjalsen; P Alexandersen; C Ladel; M Michaels; J R Andersen; B J Riis; V Kraus; A C Bay-Jensen; C Christiansen
Journal:  Osteoarthritis Cartilage       Date:  2015-01-08       Impact factor: 6.576

5.  Progression of osteoarthritis as a state of inertia.

Authors:  David Felson; Jingbo Niu; Burton Sack; Piran Aliabadi; Charles McCullough; Michael C Nevitt
Journal:  Ann Rheum Dis       Date:  2012-06-30       Impact factor: 19.103

6.  Insurer and out-of-pocket costs of osteoarthritis in the US: evidence from national survey data.

Authors:  Harry Kotlarz; Candace L Gunnarsson; Hai Fang; John A Rizzo
Journal:  Arthritis Rheum       Date:  2009-12

7.  The effects of specific medical conditions on the functional limitations of elders in the Framingham Study.

Authors:  A A Guccione; D T Felson; J J Anderson; J M Anthony; Y Zhang; P W Wilson; M Kelly-Hayes; P A Wolf; B E Kreger; W B Kannel
Journal:  Am J Public Health       Date:  1994-03       Impact factor: 9.308

8.  Trajectories and risk profiles of pain in persons with radiographic, symptomatic knee osteoarthritis: data from the osteoarthritis initiative.

Authors:  J E Collins; J N Katz; E E Dervan; E Losina
Journal:  Osteoarthritis Cartilage       Date:  2014-03-21       Impact factor: 6.576

Review 9.  Osteoarthritis subpopulations and implications for clinical trial design.

Authors:  Sita M A Bierma-Zeinstra; Arianne P Verhagen
Journal:  Arthritis Res Ther       Date:  2011-04-05       Impact factor: 5.156

10.  Can we identify patients with high risk of osteoarthritis progression who will respond to treatment? A focus on epidemiology and phenotype of osteoarthritis.

Authors:  Olivier Bruyère; Cyrus Cooper; Nigel Arden; Jaime Branco; Maria Luisa Brandi; Gabriel Herrero-Beaumont; Francis Berenbaum; Elaine Dennison; Jean-Pierre Devogelaer; Marc Hochberg; John Kanis; Andrea Laslop; Tim McAlindon; Susanne Reiter; Pascal Richette; René Rizzoli; Jean-Yves Reginster
Journal:  Drugs Aging       Date:  2015-03       Impact factor: 3.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.