Active screening technological model of cardiac rhythm disturbances (experience of Moscow polyclinic)

Abstract

Introduction. This article is devoted to the study of the structure of cardiac arrhythmias detected in the process of active screening using a portable ECG recorder in patients of the State Budgetary Institution of Healthcare "Consultative and Diagnostic Polyclinic No. 121 of the DZM" (hereinafter – KDP No. 121). Carried out as part of the project of the Department of Health of the city of Moscow "Scientific laboratory" Moscow Polyclinic ". Materials and methods. In a continuous cross-sectional screening study using a Cardiochair with a built-in electrocardiograph, in which the model of active screening of cardiac arrhythmias was implemented, all interested patients of the polyclinic took part: before seeing a doctor or receiving any medical procedure from 01/14/2022 to 08/03/2022 in KDP No. 121. Results. The study involved 5352 patients aged 18 to 105 years: men – 1723 (32.2%), women – 3629 (67.8%). Based on the results of the analysis of the obtained ECGs, 1610 HPS were detected: sinus tachycardia in 1324 (24%), bradycardia in 25 (1.4%), ventricular extrasystole in 135 (2%), supraventricular extrasystole in 33 (2%), atrial fibrillation in 118 (2%) – permanent AF in 62 (52%), paroxysmal AF in 56 patients (48%). In addition, interval changes were recorded: PQ shortening in 762 (14%) patients, PQ prolongation in 89 (1.7%), QRS widening in 545 (10%), QTc prolongation in 387 (7%). It was found that with age, adherence to ECG screening in men decreases, in women it increases. The most important advantage of the technological screening model using the Cardiochair with a built-in electrocardiograph was the timely verification of cardiac arrhythmias in patients, including primary patients. ECG data with interpretation was automatically displayed in the EMIAS patient's electronic medical record. Conclusions. The active screening of cardiac arrhythmias using the Cardiochair with an integrated electrocardiograph in KDP No. 121 is an example of the use of a digital health technology model for early diagnosis and management of chronic conditions for health management purposes.