This study aimed to understand long-term changes of the osteoarthritic temporomandibular joint (TMJ) condyle using computed tomography (CT) and to verify its correlation with clinical characteristics of temporomandibular disorders. Eighty-nine patients (152 joints; 76 female, 13 male) who had taken follow-up CTs (mean follow-up period: 644.58 ± 325.71 days) at least once in addition to their initial evaluation were selected. Cross-sectional demographic and clinical data and longitudinal CT images were collected. Data were analyzed by analysis of variance and logistic regression. Overall destructive change index (number of TMJ condyle sections in which destructive change was observed) decreased from 1.56 to 0.66. Improvement was seen in 93 joints (61.2%) and 27 joints (17.8%) worsened. In the pain positive group, both initial and final destructive change index were significantly higher compared to the pain negative group (p = 0.04). Occlusal stabilization splint therapy and nonsteroidal anti-inflammatory drug administration showed a significant effect on improving the prognosis of TMJ osteoarthritis (p = 0.015 and 0.011). In conclusion, TMJ osteoarthritis showed long-term improvement in the majority of cases. TMJ osteoarthritis accompanied by pain showed unfavorable prognosis with additional bone destruction. Occlusal stabilization splint and nonsteroidal anti-inflammatory drug administration were beneficial on the prognosis of TMJ osteoarthritis.

Burning mouth syndrome (BMS) is a chronic pain condition accompanied by unpleasant burning sensations of the oral mucosa. While multiple factors were proposed for the etiology, evidence suggested a neuropathic pain origin while others suspected the use of antibiotics as the underlying cause. Interestingly, several reports demonstrated the intimate interaction of the nervous system and the microbiome. The current study aims to elucidate the correlation of the oral microbiome with the pathophysiology of the primary BMS. Microbiome samples obtained from the unstimulated whole saliva of 19 primary BMS patients and 22 healthy controls were sequenced and analyzed of the V3-V4 region of 16S rRNA gene. There was a distinct difference in the microbial composition between the BMS and the control groups at all taxonomic levels. Alpha diversity indexes of the oral microbiome were significantly lower in the BMS group. The samples were readily distinguished by multidimensional scaling analysis and linear discriminant analysis effect size. Streptococcus, Rothia, Bergeyella, and Granulicatella genus were dominant in the BMS group, while Prevotella, Haemophilus, Fusobacterium, Campylobacter, and Allorevotella genus were more abundant in the healthy group. Distinct microbiome signatures of BMS patients suggested a diagnostic value and a potential role in the pathogenesis of BMS.

Objective: The amount of online medical information available is rapidly growing and YouTube is considered as the most popular source of healthcare information nowadays. However, no study has been conducted to comprehensively evaluate YouTube videos related to temporomandibular disorders (TMD). So this study aimed to evaluate the content and quality of YouTube videos as a source of medical information on TMD. Method: A total of 237 YouTube videos that were systematically searched using five keywords (temporomandibular disorders, tmd, temporomandibular joint, tmj, and jaw joint) were included. Included videos were categorized by purpose and source for analysis. The quality (DISCERN, Health on the Net (HON), Ensuring Quality Information for Patients (EQIP), and Global Quality Scale (GQS)) and scientific accuracy of video contents were evaluated. Results: Total content, DISCERN, HON, EQIP, and GQS scores were 7.5%, 38.9%, 35.2%, 53.0%, and 48.6% of the maximum possible score, respectively. Only 69 videos (29.1%) were considered as “useful” for patients. News media, physician, and medical source videos showed higher evaluation scores than others. Quality evaluation scores were not significantly correlated or negatively correlated with public preference indices. In the ROC curve analysis, content and DISCERN score showed above excellent discrimination ability for high-quality videos based on GQS ( P < 0.001) and total score ( P < 0.001). Conclusions: YouTube videos related to TMD contained low quality and scientifically inaccurate information that could negatively influence patients with TMD.