A logistic analysis prediction model of TMJ condylar erosion in patients with TMJ arthralgia

• Published in: BMC oral health 2021-07, Vol.21 (1), p.374-374, Article 374
• Main Authors: Emshoff, Rüdiger, Bertram, Annika, Hupp, Linus, Rudisch, Ansgar
• Format: Article
• Language: English
• Subjects: Accuracy; Arthralgia; Arthralgia - etiology; Arthritis; Bone marrow; Bone marrow edema; Care and treatment; Cartilage; Condylar erosion; Diagnosis; Disease management; Diseases; Disk displacement; Edema; Humans; Inflammation; Joint Dislocations - diagnostic imaging; Logistic Models; Magnetic Resonance Imaging; Mandible; Mathematical models; Mouth; Osteoarthritis; Pain; Patients; Prediction models; Reproducibility of Results; Retrospective Studies; Risk factors; Statistical analysis; Temporomandibular Joint; Temporomandibular Joint Disc - diagnostic imaging; Temporomandibular joint disorders
• ISSN: 1472-6831; 1472-6831
• DOI: 10.1186/s12903-021-01687-w

In terms of diagnostic and therapeutic management, clinicians should adequately address the frequent aspects of temporomandibular joint (TMJ) osteoarthritis (OA) associated with disk displacement. Condylar erosion (CE) is considered an inflammatory subset of OA and is regarded as a sign of progressive OA changes potentially contributing to changes in dentofacial morphology or limited mandibular growth. The purpose of this study was to establish a risk prediction model of CE by a multivariate logistic regression analysis to predict the individual risk of CE in TMJ arthralgia. It was hypothesized that there was a closer association between CE and magnetic resonance imaging (MRI) indicators. This retrospective paired-design study enrolled 124 consecutive TMJ pain patients and analyzed the clinical and TMJ-related MRI data in predicting CE. TMJ pain patients were categorized according to the research diagnostic criteria for temporomandibular disorders (RDC/TMD) Axis I protocol. Each patient underwent MRI examination of both TMJs, 1-7 days following clinical examination. In the univariate analysis analyses, 9 influencing factors were related to CE, of which the following 4 as predictors determined the binary multivariate logistic regression model: missing posterior teeth (odds ratio [OR] = 1.42; P = 0.018), RDC/TMD of arthralgia coexistant with disk displacement without reduction with limited opening (DDwoR/wLO) (OR = 3.30, P = 0.007), MRI finding of disk displacement without reduction (OR = 10.96, P