FIELD: medicine.
SUBSTANCE: invention relates to medicine, namely to radiology, pulmonology and infectious diseases, and can be used to predict the clinical course of pneumonia in patients with confirmed COVID-19 with involvement of 30–50% of pulmonary parenchyma and no signs of PATE. Computed tomography (CT) of the lungs is performed every 10–12 days to detect the presence or absence of pulmonary artery dilatation. If the volume of pulmonary parenchyma involvement in the repeated tomography is within 20% and less, and there is no pulmonary artery dilatation, a positive trend is predicted. If the volume of pulmonary parenchyma involvement in the repeated tomography is within 21–50% and there is no pulmonary artery dilatation or is determined only during the first examination, then the stabilization of the disease is predicted. If the volume of pulmonary parenchyma involvement in the repeated tomography is within 21–50% and more, and if the pulmonary artery dilatation is determined in both examinations or only in the repeated examination, then unfavourable dynamics is predicted.
EFFECT: method enables making a decision on the continuation of treatment or follow-up in a more comfortable day hospital or outpatient care environment due to the dynamic prognosis of the clinical course of pneumonia based on objective data.
1 cl, 7 ex
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Authors
Dates
2024-06-04—Published
2023-09-18—Filed