FIELD: medicine.
SUBSTANCE: invention relates to medicine, namely to cardiology. Prognostic factors are determined from the analysis of heart rate variability by formula 1
where PCHRV - predictive coefficient from heart rate variability, AHR - average heart rate, ANN - average NN-interval, SDNN - standard deviation of all NN-intervals, SDANN is the standard deviation of the average values of the NN-intervals calculated at 5-minute intervals throughout the recording, ASDNN is the average value of the standard deviations of the NN-intervals calculated at 5-minute intervals throughout the recording, rMSSD is the square root of the average sum of squares of differences between adjacent NN-intervals, pNN50 is the percentage of NN50 from the total number of consecutive pairs of NN-intervals, differing by more than 50 ms, obtained over the entire recording period, VLF is a very low-frequency spectral component, LF is a low-frequency spectral component, HF is a high-frequency spectral component, TF is a total number of spectral components, LF/HF is ratio of low-frequency spectral component to high-frequency spectral component. Prognostic coefficients are determined by analyzing single-photon emission computed tomography of the myocardium with meta-iodine-benzylguanidine, labeled with iodine-123 by formula 2
where PCs is a prognostic coefficient according to scintigraphic indices, SSe is an iodine-123-marked meta-iodine-benzyl guanidine accumulation defect on early scintigrams, SSd is an iodine-123-marked meta-iodine-benzyl guanidine accumulation defect on late scintigrams. If the heart rate variability is more than 1.129 and the single photon emission myocardial emission tomography is reduced to 2.777 and less, a high risk of developing ventricular tachyarrhythmias is predicted.
EFFECT: method enables higher clinical effectiveness in the patients with a high risk of ventricular tachyarrhythmias and sudden cardiac death, as well as enables optimizing the selection of candidate candidates for the cardioverter defibrillator implantation, which reduces the number of irrationally implanted devices, thereby improving quality of life of patients and optimizing economic costs.
1 cl, 2 tbl, 2 dwg, 5 ex
Authors
Dates
2020-06-02—Published
2019-08-09—Filed