FORECASTING THE RISK OF ACUTE POSTINFARCTION HEART ANEURYSM IN PATIENTS WITH ACUTE CORONARY SYNDROME ON THE BACKGROUND OF UNDIFFERENTIATED DYSPLASIA CONNECTIVE TISSUE

Abstract

The article presents the results of a study of 113 patients with acute coronary syndrome on the background of undifferentiated connective tissue dysplasia, conducted to develop an algorithm for predicting the risk of developing acute postinfarction cardiac aneurysm. The prediction was based on the analysis of levels of homocysteine (Hcy), magnesium (Mg), oxyproline (OР) and low-density lipoproteins in blood plasma by enzyme immunoassay. To conduct a statistical analysis of the data obtained, the following programs were used: IBM SPSS Statistics 28 and StatTech v. 3.1.8. Using multiple logistic regression, predictors of the risk of developing acute postinfarction heart aneurysm in patients with ACS against the background of undifferentiated connective tissue dysplasiawere identified: Hcy, Mg, OР and lipoproteins. Threshold values of Hcy levels were also presented, which amounted to: 20.25 mmol/l; Mg - 0.45 mmol/l; OР- 27.15 mmol/L. The developed mathematical model allows for a 14-day personalized prognosis of the risk of developing acute postinfarction heart aneurysm in patients with ACS against the background of undifferentiated connective tissue dysplasia. Information about the estimated high risk of developing acute postinfarction heart aneurysm will help to purposefully select preventive and therapeutic measures in patients with ACS against the background of undifferentiated connective tissue dysplasia to reduce this risk. The developed algorithm has high sensitivity (93.6%), specificity (98.5%) and prognostic significance (96.5%), which makes it possible to recommend its use for clinical practice.