Allergic diseases, which have a certain stage in their development from food allergy to bronchial asthma / allergic rhinitis, are much more common in children than in adults. The aim of this study was to analyze data on the prevalence and incidence of atopic dermatitis, bronchial asthma and allergic rhinitis as components of the allergic march, in children of Ukraine from 1994 to 2017 to determine the possible impact of adverse environmental factors on their development. During the same period, due to the influence of a number of factors, in particular environmental, there were significant changes in the structure of allergic diseases making up the stages of the allergic march due to an increase in the proportion of allergic rhinitis with the reduced one of asthma and atopic dermatitis. Within 24 years, the incidence of atopic dermatitis in children aged 0-6 years including, increased by 27.6%, in adolescents - by 40.5% and significantly decreased by 39.5% in children aged 7-14 years including. Most cases of allergic rhinitis and bronchial asthma were observed in schoolchildren (47.6 and 54.0%, respectively) with a slight decrease compared to 1994. In general, allergic diseases in recent years have become more common in children from 0 to 6 years and their detection has decreased in school-age children and adolescents. Over the past 24 years, in children of Ukraine a steady increase in the incidence and prevalence of allergic diseases that form an allergic march has been noted: the prevalence of bronchial asthma has increased by 69.3% and the incidence has increased by 22.9%; the prevalence of atopic dermatitis increased by 43.9% and the incidence increased by 8.3%; the prevalence of allergic rhinitis increased by 488.3% and the incidence of allergic rhinitis increased by 380.3%, with a predominance of detection of this pathology in children from regions with developed infrastructure and industry, where there are significant emissions of pollutants into the atmosphere, that have a direct moderate effect on the increase in the prevalence of bronchial asthma, the incidence and prevalence of allergic rhinitis in children.

ObjectiveThe aim: to identify subgroups by cluster analysis according parameters: original homeostatic model of insulin resistance (HOMA-1 IR), updated computer model of insulin resistance (HOMA-2 IR), β-cell function (%B) and insulin sensitivity (%S) for the prognosis of different variants of metabolic syndrome in children for more individualized treatment selection.Patients and methodsThe observational cross-sectional study on 75 children aged from 10 to 17 with metabolic syndrome according to the International Diabetes Federation criteria was conducted at the Cardiology Department of Children's Clinical Hospital No.6 in Kyiv. HOMA-1 IR was calculated as follows: fasting insulin (µIU/ml) × fasting glucose (mmol/L)/22.5. HOMA-2 IR with %B and %S were calculated according to the computer model in [http://www.dtu.ox.ac.uk]. All biochemical analysis were carried out using Cobas 6000 analyzer and Roche Diagnostics (Switzerland). The statistical analysis was performed using STATISTICA 7.0 and Easy R. The hierarchical method Ward was used for cluster analysis according the parameters: HOMA-1 IR, HOMA-2 IR, %B and %S.ResultsFour clusters were identified from the dendrogram, which could predict four variants in the course of metabolic syndrome such that children in cluster 1 would have the worst values of the studied parameters and those in cluster 4 – the best. It was found that HOMA-1 IR was much higher in cluster 1 (6.32 ± 0.66) than in cluster 4 (2.19 ± 0.13). HOMA-2 IR was also much higher in cluster 1 (3.80 ± 0.34) than in cluster 4 (1.31 ± 0.06). By the analysis of variance using Scheffe's multiple comparison method, a statistically significant difference was obtained between the laboratory parameters among the subgroups: HOMA-1 IR (p < 0,001), glucose (p < 0.001), insulin (p < 0,001), HOMA-2 IR (p < 0.001), %B (p < 0.001), %S (p < 0.001), TG (p = 0.005) and VLDL-C (p = 0.002).ConclusionsA cluster analysis revealed that the first two subgroups of children had the worst insulin resistance and lipid profile parameters. It was found positive correlation between HOMA-1 IR, HOMA-2 IR, %B and %S with lipid metabolism parameters TG and VLDL-C and negative correlation between %B and HDL-C in children with metabolic syndrome (MetS).The risk of getting a high TG result in the blood analysis in children with MetS was significantly dependent with the HOMA-2 IR >2.26.

The aim: To compare lipid metabolism and leptin levels among the children with and without hypertension to identify associated risk factors for the course of metabolic syndrome in children. Materials and methods: This observational, cross-sectional study recruited children from the Rheumocardiology Department of Children’s Clinical Hospital No 6 in Kyiv, with metabolic syndrome, identification of waist-to-height ratio, leptin level, homeostasis model assessment of insulin resistance and lipid profile. The main group included 41 children with metabolic syndrome and hypertension and the control group included 40 children with metabolic syndrome without hypertension. Statistical data analysis was performed using the MedStat 2.6.2. package. Results: A total of 81 children aged 10 to 17 with metabolic syndrome were examined. The group of children with hypertension had significantly lower high-density lipoprotein cholesterol (0.85±0.04) than children without hypertension (0.94±0.03), with p < 0.05. Leptin resistance was detected in 65.2% of children with hypertension and 35.3% of children with normal blood pressure (p < 0.01). Conclusions: Children with metabolic syndrome and hypertension had a significantly higher body mass index and waist circumference as opposed to children with normal blood pressure. In the lipid profile high-density lipoprotein cholesterol was significantly lower in hypertensive children. There was no reliable difference in other lipid profile indicators between the two groups, but there was an upward trend of them in group with hypertension. Leptin resistance is also significantly higher in hypertensive children.

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The medical and social significance of the problem of asthma in childhood is extremely high. Global Initiative for Asthma (GINA) for the management of this disease has been known since 1993, based on the best information available to date. Global Initiative for Asthma has now been updated — the 2022 GINA revision. GINA 2022, in particular, considers the use of a single inhaler (inhaled glucocorticoid and formoterol) both to relieve symptoms and to provide basic therapy, emphasizes the importance of having a written plan of action for asthma. Today, children with asthma are thought to have a similar risk of contracting SARS-CoV-2 as children without asthma. In the context of a coronavirus pandemic, it is essential for asthma patients to continue their proper treatment with good control of clinical symptoms. A new aspect is that when COVID-19 is confirmed or suspected, the use of nebulizers should be avoided where possible due to the risk of transmitting the infection to other patients, family members and healthcare professio­nals. Although spirometry monitoring is indeed an important tool, in a pandemic it is recommended to limit it to patients in whom the results of this study may affect treatment. It is important to follow the recommendations of infection control, take precautions to reduce the risk of infection. Recent developments in asthma treatment strategies offer biological drugs as an alternative. Monoclonal antibodies, drugs targeting IgE-dependent mechanisms, IL-5, ­IL-4, IL-13, IL-33, anti-alarmin agents, etc. are considered. The focus of special attention in the optimal use of biological therapy for asthma is proper immune endotyping, development of appropriate biomarkers, determination of the main immunological mechanism for choosing the right targeted therapy. Much attention is now being paid to the molecular aspects of asthma. In-depth knowledge of allergenic structures has led to molecular component diagnostics, which has led to a better understanding of patient sensitization. Molecular-oriented diagnostics is used to determine the best approach to allergen-specific immunotherapy.