The Relevant Oral Burden of Patients with Hidradenitis Suppurativa.

INTRODUCTION: Interleukin-17 plays a pivotal role in both hidradenitis suppurativa (HS) and in maintaining oral homeostasis, but their potential link remains unknown. Thus, we aimed to evaluate and quantify the oral burden of patients with HS. METHODS: In this real-life, multicenter, cross-sectional study, patients with HS were clinically evaluated by two board-certified dermatologists and two board-certified dentists. Oral comorbidities were carefully collected with medical history and therapeutic information. RESULTS: A total of 102 patients (44.0 ± 0.9 years, body mass index 27.0 ± 2.2 kg/m2) were enrolled. Remarkably, 48% and 43% did not undergo at least an oral hygiene or a dental visit each year, respectively. Oral disorders were found in 55.9% of patients with HS, in particular 39.2% had caries and 46.7% reported at least one missing tooth. The main oral manifestations in patients with HS were recurrent aphthous stomatitis (N = 19, 19.2%), amalgam tattoo (N = 14, 14.1%), leukoplakia (N = 11, 11.1%), nicotinic stomatitis (N = 9, 9.1%), papilloma (N = 8, 8.1%), and geographic tongue (N = 8, 8.1%). Whilst the main predictor of oral pathological conditions was Hurley staging (P = 0.0276), multivariate regression analysis indicated that gender and International Hidradenitis Suppurativa Severity Score System (IHS4) were the main predictors for the presence of caries and number of missing teeth. CONCLUSION: As a result of the relevant oral burden in patients with HS, dentists should be part of the multidisciplinary team and oral education should be promoted among patients with HS.

Temporomandibular disorders and neck pain in primary headache patients: a retrospective machine learning study.

OBJECTIVES: To evaluate the linkage underpinning different clinical conditions as painful TMD and neck pain in patients affected by primary headaches. MATERIALS AND METHODS: In this machine learning study, data from medical records of patients with headaches as migraine, tension-type headache (TTH) and other primary ones, referring to a University Hospital over a 10-year period were analysed. VAS was used to evaluate the intensity of the TMD and neck pain. Moreover, the magnetic resonance imaging was used to supplement the clinical data. RESULTS: A total of 300 patients (72 male, 228 female), mean aged 37.78 ± 5.11 years, were included. Higher TMD and neck pain VAS in migraine patients were reported. The machine learning analysis focussed on type of primary headache demonstrated that a higher TMD VAS was correlated to migraine, whereas a higher neck pain VAS was correlated to TTH or migraine. Concerning the TMD type, arthrogenous and mixed TMD were correlated to mild-moderate TMD pain (depending on neck pain intensity), whereas myogenic TMD was correlated to moderate-severe TMD pain. CONCLUSIONS: Machine-learning approach highlighted the complexity of diagnosis process and demonstrated that neck pain might be an influential variable on the belonging to different group of headaches in TMD patients.