1. [Stratification of risk factors of progressing of acute respiratory infection in children].
- Author
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Mandzhavidze NSh, Zhorzholiani LD, Barbakadze TR, Gudzhabidze RG, and Kachkachishvili MK
- Subjects
- Acute Disease, Catalase blood, Child, Child, Preschool, Disease Progression, Endotoxemia blood, Endotoxemia physiopathology, Erythrocyte Count, Humans, Infant, Pneumonia blood, Pneumonia physiopathology, Prognosis, Respiratory Tract Infections blood, Respiratory Tract Infections physiopathology, Risk Factors, Superoxide Dismutase blood, Endotoxemia diagnosis, Pneumonia diagnosis, Respiratory Tract Infections diagnosis
- Abstract
The work purpose is the complex estimation of endogenous intoxication (change of optical density of plasma and erythrocytes), depressions of tissue hypoxia and functions of protective system, clinical and laboratory stratification of the risks-factors promoting progressing of disease and complication of pneumonia. There was carried cross-section study. The study included 36 patients from 1 to 7 years with an acute respiratory infection. The control group was made up of 19 healthy children. The comparative analysis of results of the specified factors and laboratory research set as the purpose to reveal the predictable negative risk factors. Evaluation of the quantitative findings of risks-factors was carried out in 95 % taking into account the confidence interval (CI). For the acute respiratory infection complicated with pneumonia, was determined strongly marked toxemia, and also high activity of antioxidant systems (SOD and catalase) and lysosomal enzymes (catepsin, RNA) was noted. The prognosis of the authentic risks-factors of acute respiratory disease was defined with following indicators: age of the child - before three years; hereditary background with a respiratory system pathology; the tobacco use in a family; low level of knowledge of parents; incomplete treatment; change of optical density of plasma and erythrocytes; fall (reduction) of redox-potential of the system of energy maintenance. We developed predictable model on probability of expected complications of respiratory system and groups of low, average and high risk were allocated.
- Published
- 2011