Clinical Profile of a Patient After MI and ACVA Based on Outpatient Register Data

Overview

This is a retrospective observational study using the methodology of creating medical registries. The expected number of patients included in the registry is about 2000 patients with myocardial infarction and/or ACVD of any duration and concomitant non-cardiac diseases of therapeutic profile in pilot healthcare organizations for any reason during 2019-2022 based on the source medical records data.

Abstract The article presents the results of the analysis of outpatient register data of patients after myocardial infarction (MI) and acute cerebrovascular accident (ACVA). Based on the epidemiological characteristics of individuals included in the register, a clinical "portrait of a patient" after an acute cardiovascular event was formed. The features of clinical and laboratory parameters, as well as behavioral and metabolic factors of cardiovascular risk in patients included in the study were determined; and adherence to treatment before and after the reference event was assessed over a 12-year follow-up period. The objective of the study: to determine the features of clinical and epidemiological characteristics and parameters of laboratory and instrumental studies, the profile of cardiovascular risk factors in patients with a history of MI and ACVA, and to establish their adherence to treatment before and after the reference event over a 12-year follow-up period. Materials and methods. The investigators analyzed the data of 410 patients who applied to an outpatient and polyclinic healthcare organization between January 1, 2019, and December 31, 2022, with confirmed acute (recurrent) myocardial infarction and/or cerebral infarction that occurred between January 1, 2010, and December 31, 2019. Patients were included in the register after establishing their vital status as of January 1, 2020. The data of records and reports from healthcare organizations (forms 025/u, 131-u) and electronic outpatient records of medical information systems (MIS) from outpatient polyclinic institutions (OPI) were used. The results of the retrospective stage analysis of the study and the electronic patient database from the information and analytical system "Register of MI/ACVA" were presented. Standard methods of descriptive and analytical statistics, statistical software packages (SPSS, SAS, STATISTIKA 10, Stata) and programming languages (R, Python) were used.