Clinical value of the noninvasive myocardial work-up technique in the evaluation of patients with end-stage renal disease complicated by myocardial infarction

Abstract

Objective: To retrospectively analyze the clinical diagnostic value of the noninvasive myocardial work technique for evaluating myocardial infarction in patients with end-stage renal disease. Methods: Ninety-one patients with end-stage renal disease admitted to our hospital from March 2020 to December 2022 were included, and 39 patients with myocardial infarction were included in the study cluster; the other 52 patients with simple end-stage renal disease were included in the control cluster. Echocardiographic parameters and noninvasive myocardial work parameters were contrasted between the two clusters to explore their ability to predict adverse events and determine their prognostic value. Results: The echocardiographic parameters LVEF and E in the study cluster were lower than those in the control cluster, and the echocardiographic parameters LVEDD, LVESD, LVEDV and LVESV were greater than those in the control cluster. There was remarkable variance between the two clusters (P<0.05). The noninvasive myocardial work parameters GCW, GWI and GWE in the study cluster were lower than those in the control cluster, and the GWW and GLS parameters were greater than those in the control cluster. There was remarkable variance between the two clusters (P<0.05). There was no marked difference in LVEF or noninvasive myocardial work parameters between the two clusters before the operation. The noninvasive myocardial work parameters GCW, GWI, GWE and LVEF in the two clusters after surgery were markedly increased, and the GWW and GLS parameters were markedly decreased. The incidence rate of adverse events in the study cluster was 38.46%, which was greater than that in the control cluster (9.62%). There was remarkable variance between the two clusters (P < 0.05). Conclusion: A noninvasive myocardial work technique can detect each segment of the cardiac cycle, can be used to quantitatively analyze the function of the left ventricular myocardium, can accurately predict myocardial damage in patients with simple end-stage renal disease and patients with myocardial infarction, and can be used to evaluate patient prognosis and treatment safety. This prediction method has the advantages of high prediction accuracy and specificity.