Magnetic resonance evaluation of knee osteoarthritis among the Saudi Population

  • Majed Gorayan Alrowali Northern Border University
Keywords: Arar, Degenerative disorders, Knee osteoarthritis, Magnetic resonance imaging (MRI), Young population

Abstract

Background and Objectives: Osteoarthritis (OA) is the most prevalent worldwide joint degenerative disorder with high morbidities and disabilities. The current study aimed to investigate the prevalence of knee osteoarthritis (KOA) in Arar by using magnetic resonance imaging (MRI).

Methods: The prevalence of KOA was studied in Arar through MRI evaluation of randomly chosen sample from patients and their relatives attending the Prince Abdul Aziz Bin Mussad Hospital from October 2015 to November 2016.

Results: A total of 410 participants were enrolled in the study [328 (80%) male and 82 (20%) females]. After MRI, 163 participants [39.75% (95% CI) = 35.14 - 44.57%)] were diagnosed with KOA. The prevalence of OA was about 25.6% (95% CI = 20.8 - 31.1%) below the age of 40 years, which was found to increase by age in the enrolled volunteers. KOA prevalence was higher in females than males (75.6% and 27.7% respectively). There was a significant association between the age and genders of the participants and the prevalence of OA (p-value < 0.0001 for both variables). There was also a significant association between the age and gender of the participants and the MRI-estimated grading (p-value < 0.0001 and 0.0044 respectively).

Conclusion: KOA is a common disease among Arar young population, especially females. Its prevalence increases by age with higher grades of severity affecting the elderly.

Abbreviations:
KOA: Knee osteoarthritis, MRI: Magnetic resonance imaging, OA: Osteoarthritis.

doi: https://doi.org/10.12669/pjms.35.6.874

How to cite this:
Alrowaili MG. Magnetic resonance evaluation of knee osteoarthritis among the Saudi Population. Pak J Med Sci. 2019;35(6):1575-1581. doi: https://doi.org/10.12669/pjms.35.6.874

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Published
2019-10-08
Section
Original Articles