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Composite quantitative knee structure metrics predict the development of accelerated knee osteoarthritis: data from the osteoarthritis initiative.
Harkey, Matthew S; Davis, Julie E; Price, Lori Lyn; Ward, Robert J; MacKay, James W; Eaton, Charles B; Lo, Grace H; Barbe, Mary F; Zhang, Ming; Pang, Jincheng; Stout, Alina C; Lu, Bing; McAlindon, Timothy E; Driban, Jeffrey B.
Afiliación
  • Harkey MS; Division of Rheumatology, Allergy, & Immunology, Tufts Medical Center, 800 Washington Street, Box 406, Boston, MA, 02111, USA. mharkey@tuftsmedicalcenter.org.
  • Davis JE; Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA. mharkey@tuftsmedicalcenter.org.
  • Price LL; Department of Global Health in the Milken Institute of Public Health, George Washington University, Washington, DC, USA.
  • Ward RJ; The Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
  • MacKay JW; Tufts Clinical and Translational Science Institute, Tufts University, Boston, MA, USA.
  • Eaton CB; Department of Radiology, Tufts Medical Center, Boston, MA, USA.
  • Lo GH; Norwich Medical School, University of East Anglia, Norwich, UK.
  • Barbe MF; Center for Primary Care and Prevention, Alpert Medical School of Brown University, Pawtucket, RI, USA.
  • Zhang M; Medical Care Line and Research Care Line, Houston Health Services Research and Development Center of Excellence Michael E. DeBakey VAMC, Houston, TX, USA.
  • Pang J; Section of Immunology, Allergy, and Rheumatology, Baylor College of Medicine, Houston, TX, USA.
  • Stout AC; Department of Anatomy and Cell Biology, Temple University School of Medicine, Philadelphia, PA, USA.
  • Lu B; Division of Rheumatology, Allergy, & Immunology, Tufts Medical Center, 800 Washington Street, Box 406, Boston, MA, 02111, USA.
  • McAlindon TE; Department of Computer Science & Networking, Wentworth Institute of Technology, Boston, MA, USA.
  • Driban JB; Pfizer Inc., Cambridge, MA, USA.
BMC Musculoskelet Disord ; 21(1): 299, 2020 May 13.
Article en En | MEDLINE | ID: mdl-32404099
ABSTRACT

BACKGROUND:

We aimed to determine if composite structural measures of knee osteoarthritis (KOA) progression on magnetic resonance (MR) imaging can predict the radiographic onset of accelerated knee osteoarthritis.

METHODS:

We used data from a nested case-control study among participants from the Osteoarthritis Initiative without radiographic KOA at baseline. Participants were separated into three groups based on radiographic disease progression over 4 years 1) accelerated (Kellgren-Lawrence grades [KL] 0/1 to 3/4), 2) typical (increase in KL, excluding accelerated osteoarthritis), or 3) no KOA (no change in KL). We assessed tibiofemoral cartilage damage (four regions medial/lateral tibia/femur), bone marrow lesion (BML) volume (four regions medial/lateral tibia/femur), and whole knee effusion-synovitis volume on 3 T MR images with semi-automated programs. We calculated two MR-based composite scores. Cumulative damage was the sum of standardized cartilage damage. Disease activity was the sum of standardized volumes of effusion-synovitis and BMLs. We focused on annual images from 2 years before to 2 years after radiographic onset (or a matched time for those without knee osteoarthritis). To determine between group differences in the composite metrics at all time points, we used generalized linear mixed models with group (3 levels) and time (up to 5 levels). For our prognostic analysis, we used multinomial logistic regression models to determine if one-year worsening in each composite metric change associated with future accelerated knee osteoarthritis (odds ratios [OR] based on units of 1 standard deviation of change).

RESULTS:

Prior to disease onset, the accelerated KOA group had greater average disease activity compared to the typical and no KOA groups and this persisted up to 2 years after disease onset. During a pre-radiographic disease period, the odds of developing accelerated KOA were greater in people with worsening disease activity [versus typical KOA OR (95% confidence interval [CI]) 1.58 (1.08 to 2.33); versus no KOA 2.39 (1.55 to 3.71)] or cumulative damage [versus typical KOA 1.69 (1.14 to 2.51); versus no KOA 2.11 (1.41 to 3.16)].

CONCLUSIONS:

MR-based disease activity and cumulative damage metrics may be prognostic markers to help identify people at risk for accelerated onset and progression of knee osteoarthritis.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sinovitis / Progresión de la Enfermedad / Osteoartritis de la Rodilla / Articulación de la Rodilla Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Musculoskelet Disord Asunto de la revista: FISIOLOGIA / ORTOPEDIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sinovitis / Progresión de la Enfermedad / Osteoartritis de la Rodilla / Articulación de la Rodilla Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: BMC Musculoskelet Disord Asunto de la revista: FISIOLOGIA / ORTOPEDIA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos