During orthodontic treatment, pain is a subjective experience influenced by several factors, and patients use analgesics at different rates to relieve this pain without any specific guideline. Thus, the correlations between orthodontic pain and analgesic consumption were investigated after the beginning of orthodontic treatment with fixed appliances, in order to predict them. In a diary, for seven days, the 286 patients who participated in this study recorded their pain intensity (using a 0-10 numerical rating scale), analgesic usage, pain localization, pain triggers, and -pain characteristics. Univariable analyses revealed the presence of potential predictive factors: age, gender, pain intensity, pain localization, pain while chewing, pain at rest, night pain, headache, pulsating pain, sharp pain, dull pain, and tingling. Multivariate analyses revealed that increasing age, increasing pain intensity, and the presence of a headache all increased analgesic consumption. Overall, the model explained 33% of the variability in analgesic requirement. Analgesic use has been shown to be predicted by age, pain intensity, and headache, and knowledge of these factors can facilitate clinicians in identifying orthodontic patients who will consume analgesics on their own. In the conclusion, the authors affirmed that age, intensity of pain, and headache are fair predictors for analgesic consumption [12]. The last paper, by [PERSON] et al. [10], evaluated the upper airway volumes and cephalometric values in juvenile idiopathic arthritis (JIA) patients compared to healthy controls. The temporomandibular joint (TMJ) is involved in 30-45% of patients with all JIA subtypes. These subjects may show altered craniofacial morphology such as micromathia, retrog-nathia, hyperdivergent mandibular plane angle, and skeletal anterior open bite. These features are also associated with non-JIA pediatric patients with obstructive sleep apnea (OSA). The research included a group of 32 JIA patients and a group of 32 healthy subjects. A CBCT was requested from each patient, and the DICOM files were imported into Dolphin Imaging software to measure the upper airway volumes and the most constricted cross-sectional areas of each patient. The cephalometric images were exported from the CBCT data for each patient, and several cephalometric values were assessed. All measurements were compared between the JIA and control groups. For airway values, statistically significant differences were found in the nasopharynx airway volume, total upper airway volume, and the most constricted cross-sectional area, whereas the oropharyneal airway volume did not show significance. In the cephalometrics, a statistically significant difference was found for the posterior facial height. In conclusion, this study showed that there was a difference in the posterior face height, as well as a significant difference in total upper airway volume, nasopharynx airway volume, and most constricted cross-sectional area measurements between the JIA and control patients. Specifically, 50% of JIA patients had an airway with a most constricted cross-sectional area of less than 100 mm\({}^{2}\), and 67% had an asymmetric airway form [10]. Thus, this Special Issue will be helpful in evaluating the most current and significant interdisciplinary diagnostic and treatment approaches currently available in orthodontics and TMD management in both young and adult patients. This research received no external funding. Not applicable. The authors declare no conflict of interest.