REVIEW ARTICLE


The Value of Phenotypes in Knee Osteoarthritis Research



Fred R T Nelson*
Department of Orthopaedics, Henry Ford Hospital, 2799 West Grand Blvd. Detroit Michigan 48202, USA


Article Metrics

CrossRef Citations:
7
Total Statistics:

Full-Text HTML Views: 931
Abstract HTML Views: 435
PDF Downloads: 338
ePub Downloads: 243
Total Views/Downloads: 1947
Unique Statistics:

Full-Text HTML Views: 600
Abstract HTML Views: 278
PDF Downloads: 271
ePub Downloads: 191
Total Views/Downloads: 1340



Creative Commons License
© 2018 Fred R T Nelson.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Departement of Orthopaedics, Henry Ford Hospital, Fred R T Nelson, 2799 West Grand Blvd. Detroit Michigan 48202, USA; Tel: 1-313 982 8496; E-mail: fnelson1@hfhs.org


Abstract

Background:

Over the past decade, phenotypes have been used to help categorize knee osteoarthritis patients relative to being subject to disease, disease progression, and treatment response. A review of potential phenotype selection is now appropriate. The appeal of using phenotypes is that they most rely on simple physical examination, clinically routine imaging, and demographics. The purpose of this review is to describe the panoply of phenotypes that can be potentially used in osteoarthritis research.

Methods:

A search of PubMed was used singularly to review the literature on knee osteoarthritis phenotypes.

Results:

Four phenotype assembly groups were based on physical features and noninvasive imaging. Demographics included metabolic syndrome (dyslipidemia, hypertension, obesity, and diabetes). Mechanical characteristics included joint morphology, alignment, the effect of injury, and past and present history. Associated musculoskeletal disorder characteristics included multiple joint involvement, spine disorders, neuromuscular diseases, and osteoporosis. With the knee as an organ, tissue characteristics were used to focus on synovium, meniscus, articular cartilage, patella fat pad, bone sclerosis, bone cysts, and location of pain.

Discussion:

Many of these phenotype clusters require further validation studies. There is special emphasis on knee osteoarthritis phenotypes due to its predominance in osteoarthritic disorders and the variety of tissues in that joint. More research will be required to determine the most productive phenotypes for future studies.

Conclusion:

The selection and assignment of phenotypes will take on an increasing role in osteoarthritis research in the future.

Keywords: Osteoarthritis, Physical features, Phenotype, Imaging, Progression, Knee, Phenotype, Classification Phenotype in knee osteoarthritis.