Abstract

Relevance. The cardiovascular risk factors structure features in myocardial infarction, complicated by urinary disorders, in young and middle-aged men have been insufficiently studied. Aim. To evaluate the cardiovascular risk factors structure features in men under 60 years old with myocardial infarction, complicated by urinary disorders, to improve prevention and outcomes. Material and methods. The study included men 19-60 years old with type I myocardial infarction. The patients were divided into two age-comparable groups: I - study group, with acute kidney injury - 15 patients; II - control, without it - 496 patients. A comparative analysis of the main and additional cardiovascular risk factors frequency, analysis of their influence on the risk of urinary disorders in myocardial infarction (ANOVA) were performed. Results. The study group differed from the control group in the greater frequency of coronary artery bypass surgery (in the study group: 31.8%; in the control group: 8.4%; p = 0.0002), pacing (9.1 and 0.5%; respectively); p < 0.0001), history of atrial fibrillation and/or flutter (27.3 and 9.2%; p = 0.005), chronic cerebrovascular insufficiency (77.3 and 51.3%; p = 0,02), alcohol abuse (63.6 and 25.2%; p < 0.0001), frequent (four or more per year) colds (27.3 and 12.6%; p = 0,04), cardiac arrhythmias and conduction disturbances in the onset of coronary artery disease (61.9 and 24.9%; p = 0.0007), smoking for 20 years or more (36.4 and 16.8%; p = 0.003) , chronic kidney disease (46.7 and 16.2%; p = 0.02), chronic foci of internal organs infections (77.3 and 39.4%; p = 0.002), urine (27.3 and 8.6%; p = 0.006) and gallstone diseases (13.6 and 5.4%; p = 0.006). These indicators were the markers of the urinary disorders development in myocardial infarction. Conclusions. Men under 60 years old with urinary disorders in myocardial infarction are characterized by smoking, metabolic disorders, chronic kidney disease, heart rhythm and conduction disorders, alcohol abuse, frequent colds and chronic foci of internal organ infections. The data listed above should be used in the formation of high-risk groups for the development of urinary disorders, as well as for prognostic modeling.

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