Clinical dental evaluations are considered complex and costly measurements that epidemiological surveillance studies of multiple simultaneous chronic diseases currently require, for example National Health Surveys (ENS). Accordingly, simpler and more affordable methods need to be validated. The aim of this study was to assess the validity of the self-report on the total number of teeth in the general Chilean adult population. A substudy was conducted on ENS 2016–2017 participants. A stratified random sample of 101 of them was subjected to a telephone questionnaire. This information was then compared with the results obtained from the oral examination performed by a trained nurse during a home visit. Spearman correlations, intraclass correlation coefficients and the Bland-Altman method were used to analyse the data. In men, the average number of teeth recorded during the oral examination coincided with the number of teeth in the self-report (22 teeth). In women, the total teeth average was 18 and 19 teeth according to the examination and self-report, respectively. For the total number of participants, a strong and significant Spearman correlation was obtained (ρ = 0.93); in men and women, the Spearman correlation observed was also strong and significant (ρ = 0.90 and ρ = 0.96 respectively). The value of the intraclass correlation coefficient indicated a significant concordance (CCI = 0.96) in both men and women (CCI = 0.93 and 0.98 respectively). A tendency to greater correlation was observed as the number of teeth decreased. The number of teeth self-reported by the subjects in this study correlated with the number of teeth recorded in the clinical examination. Self-report is a valid method to determine the number of teeth in national health surveys.

Background: Considering the prevalence of Periodontitis, new tools to help improve its diagnostic workflow could be beneficial. Machine Learning (ML) models have already been used in dentistry to automate radiographic analysis.Aims: To determine the efficacy of an ML model for automatically measuring Periodontal Bone Loss (PBL) in panoramic radiographs by comparing it to dentists.Methods: A dataset of 2010 images with and without PBL was segmented using Label Studio. The dataset was split inton = 1970 images for building a training dataset andn = 40 images for building a testing dataset. We propose a model composed of three components. Firstly, statistical inference techniques find probability functions that best describe the segmented dataset. Secondly, Convolutional Neural Networks extract visual information from the training dataset. Thirdly, an algorithm calculates PBL as a percentage and classifies it in stages. Afterwards, a standardized test compared the model to two radiologists, two periodontists and one general dentist. The test was built using the testing dataset, 40 questions long, done in controlled conditions, with radiologists considered as ground truth. Presence or absence, percentage, and stage of PBL were asked, and time to answer the test was measured in seconds. Diagnostic indices, performance metrics and performance averages were calculated for each participant.Results: The model had an acceptable performance for diagnosing light to moderate PBL (weighted sensitivity 0.23, weighted F1-score 0.29) and was able to achieve real-time diagnosis. However, it proved incapable of diagnosing severe PBL (sensitivity, precision, and F1-score = 0).Conclusions: We propose a Machine Learning model that automates the diagnosis of Periodontal Bone Loss in panoramic radiographs with acceptable performance.

Policymakers urgently need evidence to adequately balance the costs and benefits of mass vaccination against COVID-19 across all age groups, including children and adolescents. In this study, we aim to assess the effectiveness of CoronaVac's primary series among children and adolescents in Chile. We used a large prospective national cohort of about two million children and adolescents 6–16 years to estimate the effectiveness of an inactivated SARS-CoV-2 vaccine (CoronaVac) in preventing laboratory-confirmed symptomatic SARS-CoV-2 infection (COVID-19), hospitalisation, and admission to an intensive care unit (ICU) associated with COVID-19. We compared the risk of individuals treated with a complete primary immunization schedule (two doses, 28 days apart) with the risk of unvaccinated individuals during the follow-up period. The study was conducted in Chile from June 27, 2021, to January 12, 2022, when the SARS-CoV-2 Delta variant was predominant but other variants of concern were co-circulating, including Omicron. We used inverse probability-weighted survival regression models to estimate hazard ratios of complete immunization over the unvaccinated status, accounting for time-varying vaccination exposure and adjusting for relevant demographic, socioeconomic, and clinical confounders. The estimated adjusted vaccine effectiveness for the inactivated SARS-CoV-2 vaccine in children aged 6–16 years was 74.5% (95% CI, 73.8–75.2), 91.0% (95% CI, 87.8–93.4), 93.8% (95% CI, 87.8–93.4) for the prevention of COVID-19, hospitalisation, and ICU admission, respectively. For the subgroup of children 6–11 years, the vaccine effectiveness was 75.8% (95% CI, 74.7–76.8) for the prevention of COVID-19 and 77.9% (95% CI, 61.5–87.3) for the prevention of hospitalisation. Our results suggest that a complete primary immunization schedule with the inactivated SARS-CoV-2 vaccine provides effective protection against severe COVID-19 disease for children 6–16 years. 10.13039/501100020884 Agencia Nacional de Investigación y Desarrollo (ANID) Millennium Science Initiative Program and Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias (FONDAP).

The aim of this review was to describe the association and related mechanisms between HPV, EBV, and the development of oral and oropharyngeal cancer. A search for scientific evidence was carried out in electronic databases (MEDLINE/PubMed, SciELO). It was found that, among the carcinogenic mechanisms of HPV, E6 and E7 proteins are responsible for the malignization process, inhibiting tumor suppressors p53 and pRb. As to EBV, it was noted that its “hit and run” phenomenon manipulates the host epigenetic mechanism, triggering the tumor process without the virus being currently present; a “cellular reprogramming” is essentially generated, causing heritable changes in gene expression without DNA mutation. In conclusion, there is an association between oropharyngeal carcinogenesis and HPV and also between the former and EBV. Further studies are required to clarify the causal mechanisms and impact of both viruses on cancer development and to obtain biomarkers of greater specificity in the case of EBV.

Multiple studies have demonstrated the association between Quality of Life (QoL) and the prevalence of caries, periodontitis, and tooth loss. However, the role of the position and location of tooth loss in impacting QoL remains unclear. To evaluate the association of tooth loss, including anterior losses, with Health-Related Quality of Life (HRQoL) and Oral Health-Related Quality of Life (OHRQoL) in Chileans aged 15 years and older who participated in the ENS 2016–2017. In this cross-sectional study we included 5473 individuals enrolled in the last Chilean National Health Survey (ENS 2016–2017). HRQoL was measured using the EQ-5D questionnaire, while OHRQoL was assessed through a general question (GQ/ENS) and five specific questions (SQ/ENS). An analysis of variance test was performed to determine how difference or variation in the number(s) of teeth affected their HRQoL. Odds ratios with corresponding 95% confidence intervals were calculated using multinomial logistic regression to determine how and to what degree anterior tooth loss was associated both with HRQOL and OHRQOL in the study sample. The number of remaining teeth was significantly higher in the ‘No problems’ group across all EQ-5D dimensions, except Anxiety/Depression. The largest difference was in Self-care, where ‘No problems’ had a mean of 20.18 compared to 6.43 teeth in the ‘Problematic’ group. Anxiety/Depression showed higher odds of ‘Some problems’ with upper anterior tooth loss, while ‘Usual Activities’ showed higher odds of ‘problematic’ with lower anterior tooth loss. Participants with an ‘Excellent’ OHRQoL perception had a mean of 24.32 teeth. Also, upper and lower anterior tooth loss increased the odds of OHRQoL self-perception. Tooth loss was associated with lower HRQoL and OHRQoL in some groups, with more remaining teeth associated with better outcomes, while anterior tooth loss was- linked to worse self-perceived oral health.

Objectives: Previous studies have established an association between tooth loss and depression. However, longitudinal evidence is scarce and needs to be verified in other populations. The aim of this study was to examine the longitudinal association between the number of remaining teeth and incident depression at 2- and 4-years follow-up in individuals enrolled in the Maule cohort (MAUCO) in Chile. Methods: This prospective study used the information of individuals, aged 38 to 74 years, excluding those with depression at baseline. The number of remaining teeth at baseline was determined in four groups: “20 or more teeth”, “10 to 19 teeth”, “1 to 9 teeth” and “no natural teeth”. Depression was measured through the PHQ-9. Logistic regression was performed to calculate the odds ratios (OR) for incidence depression at both periods of follow-ups, adjusting for age, sex, educational attainment, diabetes mellitus II, and stressful events at follow-up. Also, we performed adjusted multinomial logistic models to analysis the association between the number of remaining teeth and depression severity. Results: In total individuals (n = 3335 at follow 1, n = 2461 at follow 2), all groups have ORs for incident depression above 1 considering 20 or more teeth as reference. In men, those with 10–19 teeth have 2.44 times higher odds of incident depression than those with 20 or more teeth (OR 2.44, CI 95% 1.33–4.50). Edentulous subjects at 4 years follow-up had 2.24 times higher odds of depression than those with more than 20 teeth (OR 2.24 CI 95%1.35–3.72). In women, the ORs (CI 95%) of incident depression were 2.56 (1.50–4.39), 1.56 (1.02–2.40) and 1.27 (0.90–1.81) for “none”, “1–9”, “10–19” respectively in comparison to the reference group. In edentulous individuals at baseline, the odds for each of the comparisons “mild vs no”, “moderate vs no”, “moderately severe vs no” and “severe vs no” were above 1, at both follow-ups. Conclusion: Individuals with less than 20 teeth in the mouth could had higher odds of incident depression at 2- and 4-years follow-up, with differences between men and women. Also, in our study, edentulism was associated with increased odds of incident depression at 4-years follow-up in women, and with higher levels of severity of depressive symptoms.