Prognosis of cellular energy metabolism shifts in adolescents with community-acquired pneumonia
Keywords:community acquired pneumonia, children, cellular energy metabolism
Pneumonia is one of the most severe respiratory pathology forms in children, which contributes significantly to infant mortality. The high risk of chronic bronchopulmonary process and child`s disability, in case of severe and complicated disease, requires careful pathophysiological change's analysis in community-acquired pneumonia (CAP) in children. In particular, for the prediction of these disorders in children with CAP are important the dysmetabolic phenomena study and the specific approaches development. The immediate aim of this work is to study the cellular energy metabolism (CEM) features and to develop approaches for the early bioenergetic disorders diagnostics in conditions of community-acquired pneumonia in adolescents.The aim of the study is to develop approaches for the early diagnosis of shifts in energy metabolism in children aged 14-18 years with CAP. An examination of 41 children aged 14-16 years with the definition of CEM indicators was conducted in order to develop an approach for predicting CEM disorders in community-acquired pneumonia using the method of logistic regression. A logistic regression method was used to develop a method for predicting CEM disorders in children with CAP. The characteristics of CEM in children with CAP were determined. A decrease in the succinate dehydrogenase activity and an increase in the lactate dehydrogenase / succinate dehydrogenase ratio in children with CAP relative to the reference parameters were observed, which indicated an inhibition of the anaerobic energy synthesis pathway. Two mathematical models for predicting CEM disorders in CAP based on logistic regression equations were proposed. The first mathematical model consisted of social and health characteristics and of pneumonia clinical course characteristics. In ROC analysis the area under the curve (AUC) was 0.82, diagnostic specificity – 71%, diagnostic sensitivity – 90%. The second model included only hematological parameters, AUC – 0.78, diagnostic specificity – 69%, diagnostic sensitivity – 81%. Thus, changes in CEM in children with CAP aged 14 – 18 years have been established. Two methods for predicting disorders of CEM in children with CAP have been developed, which can be applied to optimize the treatment of children with CAP aged 14-18 years.
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