APPLICATION OF INTELLECTUAL MONITORING INFORMATION TECHNOLOGY IN DETERMINING THE SEVERITY OF THE CONDITION OF PATIENTS WITH INFLAMMATORY BOWEL DISEASES.

OBJECTIVE: The aim: Was to evaluate the effectiveness of the use of information technology of intelligent monitoring in solving the problems of assessing the morbidity of a patient with IBD during treatment. PATIENTS AND METHODS: Matherials and methods: 183 patients with IBD were observed. Among them 104(56.8%) patients suffered from Crohn's disease and 79(43.1%) patients had ulcerative colitis. For each patient and each disease, the formation of a list of signs, the extraction of information and knowledge will be carried out according to an individual method. At the lower level, tasks are performed: determination of the list of patient morbidity conditions, the formation of a list of indicators of the patient morbidity conditions, their identification as classes for machine learning models; formation of a list of signs, which identify the state of the patient's morbidity and whose characteristics obtained after results of medical tests. RESULTS: Results: The number of correctly classified points reached 92%. An analysis of the conditions of patients characterized by incorrectly classified points revealed the information content of this fact. In those cases when the classification results did not coincide with the expert assessment of the patient's condition, additional factors were found that influenced his condition and whose characteristics were not taken into account in the structure of classifier models. CONCLUSION: Conclusions: The results of the testing of classifier models indicate the effectiveness of the use of information technology of intelligent monitoring to assess the condition of patients with IBD.

Genetic polymorphism in patients with early and late onset of ulcerative colitis.

OBJECTIVE: The aim was to investigate SNPs of TLR-2,3,4, NOD2/CARD15, JAK-2, and IL-10 in patients with the early and late UC onset. PATIENTS AND METHODS: Matherials and methods: 126 patients with UC were investigated. To assess the predisposition of the early and late UC onset the incidence of the following SNPs: Arg753Gln TLR2 gene, Phe412Leu TLR3 gene, Asp299Gly and Thr399Ile TLR4 gene, C-819T, G-1082A and C-592A gene IL-10, Val617Phe gene JAK2, Gly908Arg gene NOD2/CARD15 were analyzed. RESULTS: Results: 76 patients had early disease onset and 50 had a late one. SNPs of TLR3 were observed in 50.8% cases. TLR4 polymorphism was more common than TLR3, and was observed in 81 (64.3%) UC patients. Polymorphism of NOD2/CARD15 and IL-10 genes were revealed with almost the same frequency 49 (38.9%) and 50 (39.9%) patients, respectively. CONCLUSION: Conclusions: Polymorphisms of TLR-2,3 genes and TLR4 Asp299Gly, NOD2/CARD15 prevailed in patients with the late UC onset that allows to suppose that bacterial flora plays one of the key roles in modification of immune response and UC development. In patients with early UC onset polymorphisms of the JAK2 and IL-10 genes prevailed responsible for the cytokine cascade activation and cause the immune mechanism that might lead to a more aggressive course of the disease.