Analysis of risk factors and stroke structure according to the hospital register of clinics in Vinnytsia for 2017-2019
Abstract
Due to the analysis of a whole set of indicators of the quality of medical care for acute cerebrovascular accident (ACA), and above all, the identification of major shortcomings in the maintenance of stroke register, it is possible to reduce morbidity, mortality and disability from this nosology. The purpose of the work is to study and compare the structure and risk factors of stroke according to the hospitals of Vinnytsia for the period 2017-2019. The stroke register was created on the basis of medical documentation of hospitals of the municipal non-profit enterprise “Vinnytsia Regional Clinical Psychoneurological Hospital named after Academician O.I. Yushchenko of Vinnytsia Regional Council” (VRCPNH) and Vinnytsia City Clinical Hospital of Emergency Medical Services (VCCHEMS), which are the most typical for this region of Ukraine. Statistical processing of the results was performed using the licensed statistical package “Statistica 5.5” using parametric evaluation methods. Between the two medical institutions in Vinnytsia and in the dynamics of time there were significant differences in different age, sex, type of stroke contingent of patients. When comparing the data of the territorial-population register of stroke in hospitals in Vinnytsia in 2017-2019, it was found that in both studied institutions the percentage of young and middle-aged patients, especially men, increased. The percentage of young and middle-aged patients in VRCPNH is higher than in VCCHEMS. Modified risk factors, which are currently the most important medical and social problem, are analyzed. There were no significant differences in the dynamics of stroke in both hospitals. The percentage of patients who had a stroke in hospital has decreased over time. The meteorological dependence of stroke has been proved, which points to the importance of preventive measures for people at risk. The main shortcomings in the collection of anamnestic data are analyzed. Analysis of risk factors for stroke suggests that the disease is based on various causes.
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