Abstract:
Predicting the risk of occurrence and course of any disease is the most important and central topic of any branch of clinical medicine. This especially applies to chronic and recurrent diseases that lead to deterioration of the bone of life. One of these diseases is urticaria. The use of anthropometric indicators to achieve this goal is an economically, pathogenetically and logically justified choice. The purpose of the study is to build and analyze discriminative models of the possibility of occurrence and features of the course of urticaria in Ukrainian women depending on anthropometric and somatotypological indicators. On the basis of the Military Medical Clinical Center of the Central Region and the Department of Skin and Venereal Diseases with a postgraduate course at the National Pirogov Memorial Medical University, Vinnytsya, a clinical-laboratory and anthropo-somatotypological examination of 40 young Ukrainian women with acute and chronic urticaria of the mild and severe course As a control group, the indicators of body structure and dimensions of 101 practically healthy Ukrainian women of a similar age group were used, which were taken from the data bank of the research center of the National Pirogov Memorial Medical University, Vinnytsya. With the help of the license package "Statistica 6.0", discriminant models of the possibility of occurrence and characteristics of the course of urticaria in Ukrainian women were built, depending on anthropometric and somatotypological indicators. In Ukrainian women, based on the characteristics of anthropo-somatotypological indicators, reliable discriminative models were built, which allow with a high probability to classify them as "typical" for practically healthy or patients with urticaria, as well as "typical" for mild or severe acute urticaria course (correspondingly correct in 89.4 % of cases, Wilks' Lambda statistic=0.080, p<0.001). When taking into account the structure and body size indicators among women with urticaria, a reliable interpretation of the obtained classification indicators is possible only between a mild and severe course of the disease (correspondingly, the correctness of 52.5 % of cases, Wilks' Lambda statistic=0.465, p<0.001).
