Improving the efficiency of prevention of inflammatory complications after dental implantation in hypovitaminosis D based on prognostic modeling

Despite the continuous improvement of methods for the non-surgical and surgical treatment of peri-implantitis, the long-term effect remains problematic. Even with positive effects of therapy, relapse is possible. Hypovitaminosis D is recognized as one of the factors in the development of peri-implant pathology. The objective of the research was to develop a risk profile for the development of inflammatory complications of dental implantation in patients with hypovitaminosis D based on prognostic modeling. A model for predicting inflammatory complications of dental implantation has been developed using logistic regression. The final model included vitamin D levels in blood serum, anatomical and topographic position, age, number of implants, the presence of type 2 diabetes mellitus, and somatic pathology of inflammatory origin. A set of predictors of inflammatory complications of dental implantation has been established, which is easily diagnosed in routine practice and can help in selecting patients for therapeutic and preventive measures. A model was developed for the prognosis and early diagnosis of inflammatory complications of dental implantation in patients with hypovitaminosis D. This model was developed using multifactorial logistic regression