Bronchial asthma (BA) continuously increases during the last century, and to date, has reached 15% of the world's child population. Respiratory system and bronchial asthma morbidity are the fi rst in the list of climate-sensitive diseases, and children compound a climate-high-risk group of the population. In recent years, there has been a steady growth of BA among children and teenagers of the Khabarovsk Krai, Russia; among teenagers, this number has doubled in the last ten years. The aim of the current study is to carry a comprehensive analysis covering climatic factors for bronchial asthma in children and teenagers, at the southern part of the Russian Far East (FE). The study area is located in monsoon climate of temperate latitudes characterized by extreme annual air temperature amplitude, with cold Siberian winter and tropically hot and sultry summer. Assessment of weather impact on children with BA in Khabarovsk, administrative center of the FE, for period 2013-2014 shows that the BA visits have a seasonal regime with peaks in spring (March-April) and in autumn-early winter (November-December), when day-today changes in temperature are large, and in summer (July) due to a large number of allergens (fl owering plant-allergens), when various allergic diseases exacerbate. At the same time, huge peaks in BA visits have been found in

Official ten-year statistics reports on the prevalence and structure of respiratory diseases in children and teenagers of Khabarovsk Kray were analyzed. Respiratory diseases still rank first in the general sick rate and, in 2015, they accounted for 60.3% in children under 14 years old and 33.4% in teenagers. General respiratory morbidity in children in 2015 made 1300.1‰ and 726.9‰ in children and teenagers, respectively. Analytical results give evidence of stabilization of morbidity rate in children (R=0.32) and a tendency towards increasing incidence in teenagers (R=0.71). Ten-year pneumonia prevalence in children shows no tendency towards decrease (R=0.3), whereas pneumonia incidence rate in teenagers does increase (R=0.65). During the last ten years, asthma prevalence in children of the region increased twofold and turned half as much in teenagers. In 2015, asthma morbidity made 23.95‰ in children and 17.15‰ in teenagers, which exceed all-Russia’s figures (10.4‰ in children and 20.08‰ in teenagers in 2014) and Russian Far East’s figures (9.22‰ in children and 15.38‰ in teenagers in 2014). Asthma children residing in the areas of catastrophic flood of 2013 on the Amur River were found (8.3% of cases) to have sensitization to mold fungi, primarily of Aspergillus niger species (71%). The results of the analysis show that there is a stabilization of morbidity in children (R=0.32) and a tendency to grow in teenagers (R=0.71).

Адрес для переписки:Супрун Евгений Николаевич Хабаровский филиал ФГБНУ «Дальневосточный научный центр физиологии и патологии дыхания» -Научно-исследовательский институт охраны материнства и детства 680021, Россия, г. Хабаровск, ул. Серышева, 74/49.

Адрес для переписки:Супрун Евгений Николаевич ассистент кафедры детских болезней педиатрического факультета Дальневосточного государственного медицинского университета, врач-аллерголог Института охраны материнства и детства 680021, Россия, г. Хабаровск, ул. Серышева, 74-49. Тел.: 8 (4212) 25-76-85. E-mail: evg-suprun@yandex Хабаровский филиал ФГБУ «Дальневосточный научный центр физиологии и патологии дыхания» Сибирского Отделения РАМН -Научно-исследовательский институт охраны материнства и детства, г. Хабаровск, РоссияРезюме. Нами разработана схема лечения бронхиальной астмы с персистенцией ЦМВ: базисная терапия, назначаемая исходя из тяжести заболевания согласно национальной программе 2009 года; иммуноглобулин человека, титрованный по количеству антител к ЦМВ. В результате исследова-ния обнаружено, что применение иммуноглобулина, титрованного по содержанию антител к ЦМВ в комплексной терапии БА: прекращает активную репликацию ЦМВ в слизистой бронхов; облегча-ет течение БА; нивелирует изменения показателей иммунитета, характерные для детей, страдающих бронхиальной астмой и выделяющих ДНК ЦМВ; позволяет снизить объем базисной терапии с со-хранением контроля над БА. Ключевые слова: бронхиальная астма, цитомегаловирус, иммунитет, дети 270Краткие сообщения Short communications Медицинская иммунология 2013, Т. 15, № 3, стр. 269-276 © 2013, СПб РО РААКИ Medical Immunology 2013, Vol. 15, 3, pp. 269-276 © 2013 Mother and Child Care, Khabarovsk, Russian Federation Abstract. We propose a protocol of treatment in cases of bronchial asthma with cytomegalovirus (CMV) persistence. This basic therapy is administered depending on the disease severity, according to the National Programme 2009. The treatment includes administration of human immunoglobulin, with dosage according on CMV antibodies titers. The study has revealed that such regimen of antibody administration based on the content of anti-CMV antibodies in bronchial asthma treatment stops active CMV replication in bronchial mucous membrane, alleviates clinical course of the disease, diminishes changes of immune system typical to children suffering from bronchial asthma and CMV reactivation, thus allowing to reduce the volume of basic therapy, along with maintaining control of asthma control. (Med. Immunol., 2013, vol. 15, N 3, pp 269-276)

Aim. To study the possibility of predicting the asthma control at various stages of the development of the disease, possibly on the basis of taking into account the genetic polymorphisms of Toll-like receptors, cytokines and detoxification system genes using the statistical method of learning neural networks.Materials and methods. We ex­amined 167 children with bronchial asthma. The degree of asthma control was determined, the following mutations were detected: TLR2-Arg753Glu, TLR4-Asp299Gly, TLR4-Ghr399Ile, TLR9-T1237C, TLR9-A2848G; IL4-C589T, IL6- C174G, IL10-G1082A, IL10-C592A, IL10-C819T, IL12B-A1188C, TNFa-G308A; GSTM, GSTT, GSTM/GSTT, GSTP1 Ile105Val, GSTP1 Ala114Val, by PCR. The STATISTICA Automated Neural Networks package was used to model neural networks.Results. The model is based on the MLP (15-9-3) multilayer perceptron architecture with a layer of 15 input neurons (by the number of analyzed variables), a hidden intermediate layer of 9 neurons and an output layer of 3 neurons by the number of values of the classified variable (control). The training algorithm was chosen by BFGS as the most adequate to the classification task. The error function is traditionally chosen as the sum of squared deviations. The activation function of output neurons is Softmax. The activation function of the intermediate layer is hyperbolic. The volume of the training sample was 88 sets. The volume of samples for testing and quality control of the model was 36 sets. The resulting model was able to predict 79.01% of the correct values of the target variable (the degree of asthma control).Conclusion. The application of the developed program makes it possible to predict the possibility of uncontrolled or partially controlled asthma at any stage of the disease, including preclinical and pre-nosological for groups with a high risk of asthma. This allows you to individually adjust the measures of secondary and even primary prevention of asthma within the personal­ization of therapeutic approaches.