MATHEMATICAL MODELING IN PREDICTION OF TMJ PAIN DYSFUNCTION SYNDROME

Abstract

The study presents technology of the development of formalized forecasting model of the risk group for temporomandibular pain dysfunction syndrome on the basis of a systemic analysis of multivariate rapid screening questionnaire for prevalence rate of etiological and amnesic predisposing factors and manifestations of TMJ pain dysfunction syndrome. Formalized model allows us to identify an individual consulting and diagnostic itinerary of the subject, to diagnose the cause of abnormalities in the biomechanical system, to conduct timely correction, and to start the treatment. Aim - development of affordable formal risk prediction method for predicting the development of TMJ pain dysfunction syndrome. Materials and methods. The subjects of the study were 94 respondents, 34 men and 60 women aged from 18 to 57 years, chosen by accidental sampling. The following methods were used: sociological (rapid screening questionnaire), systemic multivariate analysis, regression analysis, mathematical modeling. The study was conducted with consistent integration of rapid screening questionnaire data of clinically healthy research subjects and those with signs of TMJ dysfunction, who did not complain and did not seek dental advice concerning the changes in the TMJ. Integration was carried out by multivariate systemic analysis of personal data and the assessment of changes in the dentition of all the subjects of the sampling. The two components were taken into account in the survey system corresponding to the two data blocks: "causes" and "effects". Information from the subjects of study was obtained by the principle of dichotomous presentation, during which the test subjects noticed the presence or absence of a specific sign (symptom) in the dentition. Results. Boundary values of the integral system status indicator (min Xbi = 0,04 + 0,01, max 0,11 + 0,04) were calculated, whereby the test subject can be attributed to the risk group for the causes and predisposing factors or the first manifestation of symptoms of TMJ pain dysfunction syndrome. Conclusion. The subjects of the research with the values of the integral index falling within the confidence interval boundary values of the modified system (from Xbi = 0,04 ± 0,01 to Xbi = 0,11 ± 0,04) require determination of an individual trajectory of system correction.

Keywords

• tmj pain dysfunction syndrome
• rapid screening
• systemic multivariate analysis
• forecasting
• risk group