Aim: To assess the reliability of odontometric parameters in stature analysis.

Materials and Methods: The study was conducted on 100 patients (50 male and 50 Female). Mesiodistal width of anterior teeth, inter-canine width, Inter-premolar width and maxillary arch length were the parameters included. The results were tabulated with a linear regression formula obtained for each parameter.

Statistical Analysis: The data collected was statistically analysed using SPSS version 20 and a linear regression formula was obtained thereafter.

Results: Mesio-distal widths of individual maxillary canines, total mesiodistal width of maxillary anteriors and arch length showed a significant co-relation with stature. The combined linear regression formula was obtained for all parameters.

Materials and Methods: A retrospective, multicenter, observational study was done among 1000 laboratory-confirmed COVID-19 patients between June 2020 and December 2020. All the data of the clinical and laboratory parameters were collected. Patients were randomly divided into two groups for testing and validating the hypothesis. The identification of the independent risk factors was done by the logistic regression analysis method.

Results: Of all the types of the clinical and laboratory parameters, ten "independent risk factors" were identified associated with CV events in Group A: male gender, older age, chronic heart disease, cough, lymphocyte count <1.1 × 109/L at admission, blood urea nitrogen >7 mmol/L at admission, estimated glomerular filtration rate <90 ml/min/1.73 m2 at admission, activated partial thromboplastin time >37 S, D-dimer, and procalcitonin >0.5 mg/L. In our study, we found that CV events were significantly related with inferior prognosis (P < 0.001).

Materials and Methods: Twenty patients were equally divided into two groups of transoral and transbuccal methods. The parameters such as ease of access, surgical time, occlusion, postsurgical infection, fracture gaps, scarring, and complications were noted, and the values that were compared were statistically analyzed. P < 0.05 was considered statistically significant.

Results: No significant variations were seen in the variables such as ease of access, occlusion, postsurgical infection, and fracture gaps. Surgical time was significantly less for the transoral method. Negligible scarring was noted in the transbuccal method.

MATERIALS AND METHODS: This retrospective research was piloted in a tertiary care center, and implants inserted between 2010 and 2022 were evaluated through a retrospective cohort analysis. Within 3 months following implant implantation, information on alcohol intake was gathered from the health maintenance records and employed as the predictor variable. The implant results as well as peri-implantitis were examined at follow-up visits. Using the logistic regression model, the Wald test analysis analyzed the statistical consequences of each parameter. The findings were translated using an odds ratio that was determined with a 95% confidence level. The data were generated and analyzed using descriptive statistics, with statistical significance defined as P < 0.05.

RESULTS: At the time of implant placement, the enrolled patients were 59 ± 11.3 years old on average. The median time before peri-implantitis occurred was 31.3 ± 22.2 months. Within the first 2 years following implant implantation, the majority of people experienced peri-implantitis. The incidence of peri-implantitis was the lowest among light and moderate alcoholics (11.5%) and the highest among heavy alcoholics (46.2%). Moderate alcohol use was associated with a 79.1% decrease in peri-implantitis when compared to not drinking (P = 0.0365), whereas light alcohol consumption was connected to a 51.3% decrease (P = 0.026). The incidence of peri-implantitis among heavy drinkers was significantly significant (P = 0.0001).