Реферат: Research objective is as follows: To develop a diagnostic method for the IBDs including differential diagnosis, using a combination of indicators, such as fecal, hematological, serological, fatty acids' (FA) levels of erythrocyte (RBC) membranes and blood serum (BS). A total of 91 patients (average age 37.7 ± 12.1 years old) with IBDs and 53 patients of the comparison group (43.3 ± 11.7 years old) have been examined. The group of patients with IBDs have included patients with ulcerative colitis (UC) – 50 persons and with Crohn's disease (CD) – 41 persons. In the examined patients, the red blood parameters and biochemical parameters have been studied by standard methods, as for the level of fecal calprotectin, it has been researched by the enzyme-linked immunosorbent assay (ELISA), and the levels of fatty acids of erythrocyte membranes and blood serum have been investigated by the gas chromatography–mass spectrometry (GC-MS) (Agilent 7000B, USA). Results: In a comparative analysis of patient groups using statistical analysis, a composite set of indicators has been found to be the most significant in distinguishing the patients with acute UC from comparison group individuals: hemoglobin levels (p<0.00001), sedimentation rate (p<0.00001), ferritin levels (p<0.00001), fecal calprotectin (p<0.00001), and oleic acid content (p=0.0031), polyunsaturated fatty acids in erythrocyte membranes (p<0.05), arachidonic acid in erythrocyte membranes and blood serum (p<0.05), and serum PUFAs (p=0.0018) and n6/n3 PUFA ratio (p=0.0005). Diagnostic models have been developed using machine learning methods using data analysis libraries of the Python programming language. The first model, which includes a combination of the above indicators, allows to perform the calculation of the diagnostic index Y D1 to differentiate healthy individuals from patients with IBDs (AUC 0.957, sensitivity 0.974, specificity 0.941). The second diagnostic model for distinguishing patients with acute ulcerative colitis from patients with active Crohn's disease (AUC 0.887, sensitivity 0.993, specificity 0.840) have considered the levels of hemoglobin, hematocrit, mean corpuscular volume of erythrocytes (p=0.007), mean cell hemoglobin concentration and content in the RBCs (p<0.05), ESR (p<0.05), C-reactive protein (p=0.002), ferritin (p=0.014), fibrinogen (p<0.0001), fecal calprotectin (p=0.005), and erythrocyte level of oleic acid (p<0.05). Conclusion: The diagnostic models that have been created include fecal, serum markers of inflammation, as well as levels of fatty acids pathogenetically associated with the activity of IBDs, which ensures their high diagnostic accuracy. The non-invasive nature, an availability of indicators, and a convenient algorithm allow us to optimize and expedite the diagnosis of the IBDs.

Библиографическая ссылка: Kruchinina M.V. , Borisova A.V. , Svetlova I.O. , Gromov A.A. , Shashkov M.V. , Sokolova A.S. , Yakovina I.N. , Osipenko I.V.
Diagnosis Methods for Inflammatory Bowel Diseases Using the Fecal, Hematological, Serological Indicators, Fatty Acids' Levels of Erythrocyte Membranes, and Blood Serum
United European Gastroenterology Journal. 2023. V.11. NS8. PP0642 :1-2. DOI: 10.1002/ueg2.12461 WOS РИНЦ OpenAlex

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Web of science:	WOS:001086056100001
РИНЦ:	54715876
OpenAlex:	W4387654275

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БД	Цитирований
OpenAlex	1
РИНЦ	1

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