Аннотация:
The pathogenesis of periodontitis involves a complex inflammatory cascade initiated by biofilm bacteria. The susceptibility to or the risk of developing the disease is determined by the body's response to the invasion, specifically, by the strength of the inflammatory response and the differential activation of immune pathways. In this paper, we propose a model for predicting the risk of severe chronic generalized periodontitis (GCP) in patients with metabolic syndrome based on the levels of tumor necrosis factor alpha (TNF-α) in the periodontal pocket exudate. The analysis of oral cavity cytokine profiles conducted in 537 patients with GCP and comorbid metabolic syndrome showed that increased TNF-a correlated with the severity of GCP: higher levels of TNF-a were observed in patients whose condition was more severe. The prognostic model built in Statistica. 10 allowed us to use TNF-a as a prognostic criterium for GCP severity. We determined the cut-off point above which a high risk of
Petrukhina N. B. Nataliya Borisovna 1977-
Zorina O. A. Oksana Aleksandrovna 1968-
Shikh E. V. Evgeniya Valeryevna 1962-
Karty'sheva E. V. Ekateri��a Vladimirovna 1990-
Kudryavtsev A. V. Aleksandr Vladimirovich 1992-
Петрухина Н. Б. Наталия Борисовна 1977-
Зорина О. А. Оксана Александровна 1968-
Ших Е. В. Евгения Валерьевна 1962-
Картышева Е. В. Екатери��а Владимировна 1990-
Кудрявцев А. В. Александр Владимирович 1992-
A prognostic model for the prediction of generalized chronic periodontitis in patients with metabolic syndrome
Текст визуальный непосредственный
Bulletin of Russian State Medical University
Российский национальный исследовательский медицинский университет им. Н.И. Пирогова
Vol.8, Issue2 P. 43-47
2019
Статья
tumor necrosis factor adult aged Article chronic periodontitis comorbidity disease severity exudate female human major clinical study male metabolic syndrome X middle aged mouth cavity periodontal pocket prediction prognostic assessment risk assessment sensitivity and specificity statistical model
The pathogenesis of periodontitis involves a complex inflammatory cascade initiated by biofilm bacteria. The susceptibility to or the risk of developing the disease is determined by the body's response to the invasion, specifically, by the strength of the inflammatory response and the differential activation of immune pathways. In this paper, we propose a model for predicting the risk of severe chronic generalized periodontitis (GCP) in patients with metabolic syndrome based on the levels of tumor necrosis factor alpha (TNF-α) in the periodontal pocket exudate. The analysis of oral cavity cytokine profiles conducted in 537 patients with GCP and comorbid metabolic syndrome showed that increased TNF-a correlated with the severity of GCP: higher levels of TNF-a were observed in patients whose condition was more severe. The prognostic model built in Statistica. 10 allowed us to use TNF-a as a prognostic criterium for GCP severity. We determined the cut-off point above which a high risk of