Use of ambulatory blood pressure monitoring and heart rate variability for differential diagnosis of essential hypertension of the first stage and neurocirculatory dystonia of hypertension type

The aim of the research is to carry out differential diagnosis of essential hypertension of the first stage and neurocirculatory dystonia of hypertension type with the help of heart rate variability and ambulatory blood pressure monitoring. 56 patients with essential hypertension of the first stage and 25 patients with neurocirculatory dystonia of hypertension type were included in our research. All patients were directed from the regional military commissariats, from cardiological department of Krasnoyarsk municipal hospital. All patients were examined according to the following program: clinical examination, electrocardiography, echocardiography, cycle ergometry, ambulatory blood pressure monitoring (ABPM), heart rate variability (HRV). Results were processed using parametric and non-parametric methods of mathematical statistics and standard software "Excel", "Statistica 6". The data is presented as М±σ and Ме (Р25; Р75). According to ABPM data during the essential hypertension of the first stage unlike during the neurocirculatory dystonia of hypertension type there occur: significantly higher rating of mean systolic and diastolic blood pressure during the day, hypertensive time index, area index, normalized area index, index of measurement of systolic and diastolic arterial pressure during the day, mean systolic arterial pressure during the night, hypertensive time index, area index, normalized area index, index of measurement of systolic pressure during the night, mean arterial pressure minimum during the day, mean arterial pressure during the day, mean arterial pressure maximum during the day, mean pulse arterial pressure during the day, mean arterial pressure minimum during the night. Moreover, the established differences in the characteristics such as asymmetry and capacity of the high frequency were revealed in our groups using HRV.