FIELD: medicine.
SUBSTANCE: invention can be used to predict recurrent episodes of acute respiratory viral infections (ARI) for preschool children with bronchial asthma (BA). History, clinical and laboratory risk factors are determined: absence of acute respiratory virus infection (ARI) for more than one month - x1; eosinophils level of in complete blood count (CBC) - x2; actual BA exacerbations against ARI for the last month - x3; mother's burdened obstetrical history (BOH) - x4; actual chlamydia and mycoplasma infection in history according to the enzyme-linked blood immunoassay (blood ELISA) - x5; altered level of natural killer cells (NK cells) - x6; age at first visit to the children's pre-school institution (CPI) over three years - x7; altered level of B-lymphocytes - x8; altered level of immunoglobulin G (IgG) - x9; age of broncho-obstructive syndrome (BOS) debut - x10; altered level of tumor necrosis factor (TNF) - x11; altered level of interferon-gamma (INF-γ) - x12; altered level of phagocytic activity of monocytes - x13; prophylactic administration of antiviral drugs in the season of increased the ARI incidence - x14. At that, the risk factors x1, x3-x5, x7, x10, x14 are assigned the value of 1. Risk factors x2, x6, x8, x9, x11-x13 are assign a value, determined in laboratory tests. Then F is calculated by the formula. If F> 0, a high risk of ARI is predicted. If F <0, a minimal risk of acute respiratory viral infections for children with BA is predicted.
EFFECT: method allows to predict ARI for children with BA with high probability and efficiency, to carry out preventive and rehabilitative measures in a timely manner by evaluating the most significant risk factors.
1 tbl, 2 ex
Authors
Dates
2017-04-04—Published
2016-01-26—Filed