FIELD: medicine.
SUBSTANCE: invention relates to medicine, namely to anaesthesiology-resuscitation, therapy, infectious diseases, clinical and laboratory diagnostics, and can be used to predict a lethal outcome in a patient with a cytokine storm associated with COVID-19. On 1st day of hospitalization, the patient’s blood lymphocyte absolute count, the blood plasma D-dimer level are determined, Charlson comorbidity index score, NEWS2 index score. On 3rd day of hospitalization, the level of C-reactive protein (CRP), the absolute number of lymphocytes and leukocytes in the blood, the level of D-dimer and interleukin-6 (IL-6) are determined. On 5th day of hospitalization, the absolute number of neutrophils in the blood is determined. Derived values are used to determine the probability of a lethal outcome (p) of the patient by a given formula, and if the p value is more than 0.5, a high risk of lethal outcome is predicted.
EFFECT: method enables reducing the risk of lethal outcome in the patients with cytokine storm by timely detection of risk factors for each patient with further dynamic follow-up and correction of therapeutic approach by assessing the aggregate of the most significant values.
1 cl, 1 dwg, 3 tbl, 2 ex
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Authors
Dates
2024-08-28—Published
2022-12-26—Filed