Increased Risk of Temporomandibular Joint Disorder in Patients with Rheumatoid Arthritis: A Longitudinal Follow-Up Study.
Soo-Hwan ByunChan-Yang MinHyo Geun ChoiSeok-Jin HongPublished in: Journal of clinical medicine (2020)
We evaluated the incidence of temporomandibular disorder (TMD) in patients with rheumatoid arthritis (RA) and examined the association between TMD and RA, through longitudinal follow-up. Population data from the Korean National Health Insurance Service-Health Screening Cohort from 2002 to 2015 was used. From 514,866 subjects, 3122 with RA were matched with 12,488 controls in a 1:4 ratio. The crude and adjusted models (for obesity, smoking, alcohol consumption, blood pressure, blood glucose, total cholesterol, and Charlson Comorbidity Index scores) were calculated. Chi-square tests, Kaplan-Meier (KM) analysis, and two-tailed analyses were used for statistical analysis. Stratified Cox proportional hazard models were used to assess the hazard ratios (HR) and 95% confidence intervals (CI) for TMD in the RA group, compared to those in the control group. The adjusted HR for TMD in RA was 2.52 (95% CI = 1.70-3.74), compared to the control group. The results were consistent with the subgroup analyses, according to age and sex, except in men older than 60 years of age. KM analysis showed similar results. Hence, we found that patients with RA have a higher risk of TMD, and should be observed for symptoms of the initial stage of TMD to prevent the risk of aggravation.
Keyphrases
- rheumatoid arthritis
- disease activity
- blood glucose
- health insurance
- blood pressure
- ankylosing spondylitis
- alcohol consumption
- healthcare
- mental health
- interstitial lung disease
- systemic lupus erythematosus
- type diabetes
- metabolic syndrome
- insulin resistance
- weight loss
- physical activity
- middle aged
- risk factors
- machine learning
- randomized controlled trial
- heart rate
- affordable care act
- open label
- big data
- skeletal muscle
- hypertensive patients
- smoking cessation
- health information
- low density lipoprotein
- artificial intelligence
- data analysis
- human health
- study protocol