Системные гипертензии (Dec 2021)
The efficiency of two-level electrovectorcardiographic diagnostics of left ventricular hypertrophy in the medical examination of urban and rural population
Abstract
Background. The incidence of arterial hypertension continues to grow. By 2025 the number of patients will increase to 1.5 billion that makes it necessary to develop and implement effective approaches in the diagnosis and treatment of hypertension in practical health care. Aim. Evaluate the effectiveness of two-level diagnostics of left ventricular hypertrophy (LVH). Materials and methods. The distance of the first level of LVH diagnostics in outpatient departments with a territorial is more than 20 km. It was performed by remote electrocardiography, including medical examination of the population. Automatic conclusion of the devices was sent to the personal office of the functional diagnostics doctor. At the second level, the electrocardiograph software was used to convert ECG-12 into a vectorcardiogram (VKG) to clarify LVH. The ECG reports were returned to the device of the doctor/paramedic for further work with the patient. When using scalar ECG criteria for LVH, the most sensitive index was the SokolovLyon index 24.2% of cases, then the Cornell product 19.8% of cases. In the second level of ECG diagnostics, the sensitivity of the method in detecting LVH increased more than 3 times: in terms of the maximum loop vector modulus (M QRS 1.8 mV), 72%, the sensitivity of the total index Rx+Sz (2.7 mV) was 58% of cases, the deviation of the spatial angle QRS-T90 was 42.5%, the spatial area of the loop QRS (S QRSxyz 2.7 mV2), the area of the loop QRS in the horizontal plane (S QRSxz2.2 mV2) 41.5%, the orientation angle of the maximum loop vector t in the horizontal plane (angle Txz70) was detected in 38% of patients. These indicators were found with the same frequency in both groups of examined individuals. Conclusion. The use of remote two-level ECG and ECG diagnostics allowed to increase the detection of LVH in rural and urban populations by 3 times.
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