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2121 Quantitative structural knee measurements improve classification of accelerated knee osteoarthritis: Data from the osteoarthritis initiative

Published online by Cambridge University Press:  21 November 2018

Lori L. Price
Affiliation:
Tufts Medical Center
Timothy E. McAlindon
Affiliation:
Tufts Medical Center
Mamta Amin
Affiliation:
Temple University School of Medicine
Charles B. Eaton
Affiliation:
Alpert Medical School of Brown University
Julie E. Davis
Affiliation:
Tufts Medical Center
Bing Lu
Affiliation:
Brigham & Women’s Hospital and Harvard Medical School
Grace H. Lo
Affiliation:
VAMC & Baylor College of Medicine
Michael E. DeBakey
Affiliation:
VAMC & Baylor College of Medicine
Jeffrey Duryea
Affiliation:
Brigham & Women’s Hospital and Harvard Medical School
Mary F. Barbe
Affiliation:
Temple University School of Medicine
Jeffrey B. Driban
Affiliation:
Tufts Medical Center
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Abstract

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OBJECTIVES/SPECIFIC AIMS: The aim of this study is to determine whether quantitative measures of knee structures including effusion, bone marrow lesions, cartilage, and meniscal damage can improve upon an existing model of demographic and clinical characteristics to classify accelerated knee osteoarthritis (AKOA). METHODS/STUDY POPULATION: We conducted a case-control study using data from baseline and four annual follow-up visits from the osteoarthritis initiative. Participants had no radiographic knee osteoarthritis (KOA) at baseline. AKOA is defined as progressing from no KOA to advance-stage KOA in at least 1 knee within 48 months. AKOA knees were matched 1:1 based on sex to (1) participants who did not develop KOA within 48 months and (2) participants who developed KOA but not AKOA. Analyses were person based. Classification and regression tree analysis was used to determine the important variables and percent of variance explained. RESULTS/ANTICIPATED RESULTS: A previous classification and regression tree analysis found that age, BMI, serum glucose, and femorotibial angle explained 31% of the variability between those who did and did not develop AKOA. Including structural measurements as candidate variables yielded a model that included effusion, BMI, serum glucose, cruciate ligament degeneration and coronal slope and explained 39% of the variability. DISCUSSION/SIGNIFICANCE OF IMPACT: Knee structural measurements improve classification of participants who developed AKOA Versus those who did not. Further research is needed to better classify patients at risk for AKOA.

Type
Basic/Translational Science/Team Science
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Association for Clinical and Translational Science 2018
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