Koval L. The state of cellular energy metabolism in children of different age with community-acquired pneumonia

The research of the present thesis is devoted to the optimization of the diagnosis’ quality of metabolic disorders in children of different age with community-acquired pneumonia, which was based on the study of risk factors and the state of cell-energy metabolism. The work on this thesis was carried out in two stages. At the retrospective stage, factor analysis was subjected to clinical and anamnestic data of patients with community-acquired pneumonia, which established risk factors for community-acquired pneumonia in children of different ages. The complex study of cytochemical and biochemical markers of energy metabolism has revealed the features of cell-energy metabolism disorders in children of different ages with community-acquired pneumonia. They manifested a 1.2-fold lactate dehydrogenase activity increase and a 1,67-fold lactate dehydrogenase / succinate dehydrogenase ratio increase in the 1-6 year old group. In patients 7-13 years of age, the lactate dehydrogenase / succinate dehydrogenase ratio was increased by 1.12-fold. In the age group of 14-18 years, the lactate dehydrogenase activity decreased by 1.34-fold and the lactate dehydrogenase / succinate dehydrogenase ratio increased by 1,43-fold. The correlation between markers of cellular energy metabolism and clinical characteristics of community-acquired pneumonia was determined for each age group. The peculiarities in displacements of the dynamic laser spectrum of plasma were established in children of different age with community-acquired pneumonia. Therefore, in patients of 1 – 6 years dominated a dystrophic-like shift of plasma homeostasis, and in children aged 14 – 18 was prevalent the intoxication-like displacement of plasma homeostasis. The revealed changes correlate with clinical and anamnestic indicators of community-acquired pneumonia and markers of cellular energy metabolism. The mathematical models for the determination of probable changes in the parameters of cellular energy metabolism were developed based on logistic regression method.