FIELD: medicine.
SUBSTANCE: invention relates to medicine, namely to pulmonology, preventive medicine, and can be used to predict the risk of developing respiratory failure in patients with community-acquired pneumonia with underlying SARS-CoV2 infection. General clinical state of the patient is determined and blood is analysed. Blood serum is analysed for activity of elastase-like and trypsin-like proteinases. Prediction of the risk of developing respiratory failure is calculated by formula (P): P=1/(1+e-H), where e=2.718. H is calculated by the logistic regression equation: H(x1, x2, x3, x4)=-3.370+b1x1+b2x2+b3x3+b4x4, where b1=0.003; b2=0.001; b3=-1.682; b4=1.646; x1 is activity of elastase-like proteinases, nmol BANE/min⋅ml; x2 is activity of trypsin-like proteinases, nmol BAEE/min⋅ml; x3 is type 2 diabetes mellitus: absence – 0, presence – 1; x4 is nature of disease course: mild – 1, moderate – 3, severe – 4; and if P is more than 0.5, a high risk of developing respiratory failure is predicted.
EFFECT: method provides the possibility of increasing the information value of the prediction of the risk of developing respiratory failure in the patients with community-acquired pneumonia with SARS-CoV2 infection by studying biologically active molecules – determining the activity of elastase-like and trypsin-like proteinases in blood serum, as well as the nature of the clinical course of the disease and the presence of type 2 diabetes mellitus.
1 cl, 7 dwg, 3 ex
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Authors
Dates
2024-11-19—Published
2024-04-26—Filed