Abstract
A new method of diagnosis of cerebral circulation insufficiency in patients with chronic obstructive pulmonary disease (COPD) is presented. The essence of the method consists in determining the patient's age, smoking index, oxygen partial pressure in arterialized blood (pO2), forced expiratory volume per 1st second (FEV1), the level of hemoglobin in the clinical analysis of blood, and solution of the regression equation. The numerical value of the equation of 70 or more points allows to diagnose the presence of signs of cerebral circulation insufficiency, less than 70 points - their absence. Preliminary correlation analysis was carried out in 67 patients with COPD using statistical package STATISTICA 6.1 between the following variables: age, smoking index, pO2, FEV1, hemoglobin level. The coefficient of multiple determination (R2) was 0.79 (79.0%), which confirms the reliability of the model prediction. The invention relates to medicine, namely, internal diseases, in particular to pulmonology and can be used for the diagnosis of early signs of cerebral circulation insufficiency in patients with COPD for the purpose of a differentiated approach to the choice of therapeutic and preventive measures. The problem solved by the invention is to create a method that allows to detect disorders in the state of cerebral circulation in patients with COPD to improve the effectiveness of therapeutic and preventive measures and improve the prognosis of the disease.
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