Cargando…
Composite quantitative knee structure metrics predict the development of accelerated knee osteoarthritis: data from the osteoarthritis initiative
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 Ost...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222452/ https://www.ncbi.nlm.nih.gov/pubmed/32404099 http://dx.doi.org/10.1186/s12891-020-03338-7 |
_version_ | 1783533577608101888 |
---|---|
author | 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. |
author_facet | 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. |
author_sort | Harkey, Matthew S. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7222452 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72224522020-05-20 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. BMC Musculoskelet Disord Research Article 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. BioMed Central 2020-05-13 /pmc/articles/PMC7222452/ /pubmed/32404099 http://dx.doi.org/10.1186/s12891-020-03338-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article 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. Composite quantitative knee structure metrics predict the development of accelerated knee osteoarthritis: data from the osteoarthritis initiative |
title | Composite quantitative knee structure metrics predict the development of accelerated knee osteoarthritis: data from the osteoarthritis initiative |
title_full | Composite quantitative knee structure metrics predict the development of accelerated knee osteoarthritis: data from the osteoarthritis initiative |
title_fullStr | Composite quantitative knee structure metrics predict the development of accelerated knee osteoarthritis: data from the osteoarthritis initiative |
title_full_unstemmed | Composite quantitative knee structure metrics predict the development of accelerated knee osteoarthritis: data from the osteoarthritis initiative |
title_short | Composite quantitative knee structure metrics predict the development of accelerated knee osteoarthritis: data from the osteoarthritis initiative |
title_sort | composite quantitative knee structure metrics predict the development of accelerated knee osteoarthritis: data from the osteoarthritis initiative |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7222452/ https://www.ncbi.nlm.nih.gov/pubmed/32404099 http://dx.doi.org/10.1186/s12891-020-03338-7 |
work_keys_str_mv | AT harkeymatthews compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative AT davisjuliee compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative AT pricelorilyn compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative AT wardrobertj compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative AT mackayjamesw compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative AT eatoncharlesb compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative AT lograceh compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative AT barbemaryf compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative AT zhangming compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative AT pangjincheng compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative AT stoutalinac compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative AT lubing compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative AT mcalindontimothye compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative AT dribanjeffreyb compositequantitativekneestructuremetricspredictthedevelopmentofacceleratedkneeosteoarthritisdatafromtheosteoarthritisinitiative |