Development of a nomogram for identifying periodontitis cases in Denmark.

Although self-reported health outcomes are of importance, attempts to validate a clinical applicable instrument (e.g., nomogram) combining sociodemographic and self-reported information on periodontitis have yet to be performed to identify periodontitis cases. Clinical and self-reported periodontitis, along with sociodemographic data, were collected from 197 adults. Akaike information criterion models were developed to identify periodontitis, and nomograms developed based on its regression coefficients. The discriminatory capability was evaluated by receiver-operating characteristic curves. Decision curve analysis was performed. Smoking [OR 3.69 (95%CI 1.89, 7.21)], poor/fair self-rated oral health [OR 6.62 (95%CI 3.23, 13.56)], previous periodontal treatment [OR 9.47 (95%CI 4.02, 22.25)], and tooth loss [OR 4.96 (95%CI 2.47, 9.97)], determined higher probability of having "Moderate/Severe Periodontitis". Age [OR 1.08 (95%CI 1.05, 1.12)], low educational level [OR 1.65 (95%CI 1.34, 2.23)], poor/fair self-rated oral health [OR 3.57 (95%CI 1.82, 6.99)], and previous periodontal treatment [OR 6.66 (95%CI 2.83, 15.68)] determined higher probability for "Any Periodontitis". Both nomograms showed excellent discriminatory capability (AUC of 0.83 (95%CI 0.75, 0.91) and 0.81 (95% CI 0.74, 0.88), good calibration, and slight overestimation of high risk and underestimation of low risk. Hence, our nomograms could help identify periodontitis among adults in Denmark.

Periodontitis Is Associated with Consumption of Processed and Ultra-Processed Foods: Findings from a Population-Based Study.

The association between periodontitis and lifestyle factors has been widely investigated. However, an association between periodontitis and dietary patterns has not been explored. Therefore, this study investigated the association between periodontitis and food consumption among a Southern Brazil population. Data from the 1982 Pelotas Birth Cohort were used (n = 537). The exposure, periodontitis, was clinically measured and classified using the AAP/CDC system, then two latent variables were defined: 'initial' and 'moderate/severe' periodontitis. The consumption of in natura, processed, and ultra-processed foods (NOVA classification) was the outcome and measured in calories using the food frequency questionnaire (FFQ). Confounders were sex, maternal education, smoking status, xerostomia, and halitosis. Data were analyzed by structural equation modeling. 'Initial' periodontitis was associated with a higher consumption of in natura food (standardized coefficient (SC) 0.102; p-value = 0.040), versus processed (SC 0.078; p-value = 0.129) and ultra-processed (SC 0.043; p-value = 0.400) foods. 'Moderate/severe' periodontitis was associated with higher consumption of ultra-processed foods (SC 0.108; p-value = 0.024), versus processed (SC 0.093; p-value = 0.053) and in natura (SC 0.014; p-value = 0.762) foods. 'Moderate/severe' periodontitis appears to be associated with the consumption of processed and ultra-processed foods.

Diagnóstico diferencial de amigdalolitíase / Differential diagnosis of tonsillolith

Introdução e objetivo: A amigdalolitíase é uma calcificação distrófica rara na tonsila ou região peritonsilar que pode mimetizar diversas patologias ósseas radiopacas quando avaliadas por imagens bidimensionais ou superpostas. Tal fato pode levar a diagnósticos equivocados e a condutas invasivas desnecessárias. Relatamos um caso de amigdalolitíase inicialmente diagnosticado como odontoma. Relato de caso: Uma paciente com diagnóstico primário de presença de odontoma em ramo mandibular foi encaminhada para tratamento cirúrgico dessa lesão. Conclusão: Tomografias são de fundamental importância no estabelecimento de diagnóstico diferencial e tratamento adequado do paciente.

Introduction: Tonsillolith is a rare type of dystrophic calcification in the palatine tonsils or in the peritonsilar region, which can mimics several intraosseous radiopaque lesions when evaluated by two-dimensional or overlapping images. This may lead to an erroneous diagnosis and to invasive and unnecessary procedures. This study reports a case of tonsillolith that was wrongly diagnosed as an odontoma. Case report: A patient with primary diagnosis of odontoma in the mandibular ramus was referred to surgical treatment of this lesion. Conclusion: Computed tomography (CT) scans are fundamentally important to establish differential diagnosis and appropriate treatment for the patient.