Summary
This study developed logistic regression prediction models to identify factors associated with oral health-related quality of life in patients with temporomandibular joint osteoarthritis treated with arthrocentesis and hyaluronic acid injections. Seven predictors were significantly associated with OHRQoL at 1-month follow-up (including mental health history, jaw mobility, muscular and joint pain, bruxism, and baseline OHRQoL), whilst eight were associated at 6 months. Although the models demonstrated good calibration and discrimination, their added predictive values for ruling in low OHRQoL risk were moderate (19–31%).
UK applicability
The findings are potentially applicable to UK oral health services managing temporomandibular joint osteoarthritis, as the predictive factors identified (mental health comorbidity, pain patterns, sleep and awake bruxism) are clinically relevant across health systems. However, the study's geographic origin and healthcare context are not specified in the available metadata, limiting direct generalisation to UK practice.
Key measures
Oral health-related quality of life (OHRQoL); receiver-operating characteristics curves; calibration plots; model discrimination and internal validity; positive and negative predictive values (19%, 31%, 28%, and 15% respectively)
Outcomes reported
The study developed logistic regression models to predict oral health-related quality of life (OHRQoL) at 1 and 6 months post-treatment in patients with temporomandibular joint osteoarthritis receiving arthrocentesis with hyaluronic acid injections. Models identified multiple clinical and psychological predictors associated with OHRQoL outcomes at both follow-up timepoints.
Topic tags
Dig deeper with Pulse AI.
Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.