МНОГОФУНКЦИОНАЛЬНЫЙ АНАЛИЗ ЗАБОЛЕВАНИЙ ПАРАДОНТА

Аннотация

Периодонтал касалликлар этиологиясининг мултифакториал хусусияти уларнинг ривожланиш эҳтимоли ва кўп факторли моделлар ва хавфни баҳолаш моделларидан фойдаланган ҳолда клиник курс хусусиятларини ҳисобга олиш зарурлигини белгилайди. Патология курсини башорат қилиш моделлари профилактика усуллари ва воситалари тўғрисида қарор қабул қилиш ва индивидуал терапияни тайинлаш учун асосдир. Бу "умумий периодонтал касалликнинг умумий хавфини" баҳолаш учун асос бўлди. Калит сўзлар: оғиз бўшлиғи, парадонт касаллиги, шиллиқ қават, тарқалган парадантоз Акилов Хабибулло Атаулаевич, Ризаев Жасур Алимджанович, Бекжанова Ольга Есеневна, Ризаев Эльер Алимджанович, Олимджанов Камрон Жасур угли Ташкентский институт усовершенствования врачей Ташкентский государственный стоматологический институт Самаркандский государственный медицинский институт МНОГОФУНКЦИОНАЛЬНЫЙ АНАЛИЗ ЗАБОЛЕВАНИЙ ПАРАДОНТА 8 |№3 | 2020 АННОТАЦИЯ Многофакторность этиологии заболеваний пародонта диктует необходимость учитывать вероятность их развития и особенности клинического течения с использованием многофакторных моделей и моделей оценки риска. Модели прогнозирования вариантов течения патологии являются основой для принятия решений о методах и средствах профилактики и назначения индивидуальной терапии. Это послужило основанием для оценки «общего риска генерализованного пародонтоза». Ключевые слова: полость рта, пародонтоз, слизистые оболочки, диффузный пародонтит. The multifactorial nature of the etiology of periodontal Encoding in regression analysis of the variable diseases dictates the need to consider the probability of their "combined outcome": 0-no, 1-Yes; variable "primary development and features of the clinical course using presence/absence of GP": 0-no GP, 1-GP is; variable "gender": multifactorial and risk assessment models. [5,3,9,11]. 0 – women, 1 – men. The critical level of statistical significance Models for predicting variants of the course of pathology was assumed to be 0.05. are the basis for making decisions about methods and means of The values of b-coefficients in the logical regression prevention and prescribing individual therapy. This was the basis analysis were evaluated as an indicator of the contribution of the for the assessment of the "total risk of generalized periodontal risk factor to the prevalence of periodontitis. disease". Further, the prevalence of risk factors in gender and age In practice, modeling of population patterns is often used groups and in the whole sample was calculated. The load of to solve problems of the healthcare system, for example, to periodontitis risk factors was calculated as the sum of products evaluate the effectiveness of different treatment and prevention of the prevalence of risk factors with their contribution to the approaches [1, 7,8,11, 20]. This was the basis for the assessment risks of periodontitis by the formula of the "total risk of generalized periodontal disease". P = ∑(RC) n, (1) It is obvious that the prevalence of risk factors for where P is the load of periodontitis risk factors; R is the periodontitis may differ significantly in different populations due prevalence of the risk factor, %; C is the contribution of the risk to heterogeneity in terms of medical and demographic, national factor to the prevalence of CHD. (hence genetic), geographical and socio-economic Then the difference between risk factors in gender and characteristics. [1,4, 6,9,12, 14,19]. age groups compared to the General sample was calculated using The solution of the problem lies in determining the the formula integral indicator of the load of risk factors for generalized ∆R = RGR. – RV., (2) periodontitis, which takes into account the prevalence of risk where ∆R is the difference of the load as risk factors in factors and their contribution to the occurrence of the disease. age-sex groups compared to the total sample according to the The purpose of this study is to analyze the population formula; RGR. – loading risk factors in age-sex groups; Pb. - determinants of the risk of developing generalized periodontitis. load of risk factors in the General sample. Materials and methods Based on the b-coefficient obtained in the course of linear Epidemiological surveys of the adult population of regression analysis, the difference between risk factors in gender Uzbekistan aged 20 and more than 60 years were carried out. The and age groups was translated into population risk values using epidemiological study was conducted in the period from 2015 to the formula 2019. The total sample size was 1,036 people, including 555 P% = ∆RV, (3), where P% is an additional risk of (53.57%) women and 481 (46.43%) men. periodontitis to the population due to risk factors, %; – b is the The study was performed in accordance with the ratio of GP frequency to load by risk factors in linear regression standards of epidemiological research in dentistry and the analysis. principles of the Helsinki Declaration. The study Protocol was The c