Abstract

SummaryObjectivesWe aimed to investigate the relationship between myocardial performance index (MPI) and severity of coronary artery disease, as assessed by the Gensini score (GS), in patients with non-ST-segment elevation myocardial infarction (NSTEMI).MethodsNinety patients with an initial diagnosis of NSTEMI were enrolled in our study. They were divided into tertiles according to the GS: low GS <19; mid GS > 19 and ≤ 96; and high GS > 96.ResultsThe low-, mid- and high-GS groups included 24, 38 and 28 patients, respectively. Clinical features such as gender distribution; body mass index (BMI); prevalence of diabetes mellitus, hypertension and hyperlipidaemia; and smoking status were similar in the three groups. MPI and isovolumic relaxation time were significantly higher in the high-GS group than in the low- and mid-GS groups (p < 0.001 and p = 0.005, respectively). Furthermore, the high-GS group had a significantly lower ejection fraction and ejection time (p = 0.01 and p < 0.001, respectively). MPI was positively correlated with the GS (r = 0.47, p < 0.001), and multivariate regression analysis showed that MPI was an independent predictor of the GS (β = 0.358, p < 0.001).ConclusionsPatients with NSTEMI who fall within the high-risk group may be identified by means of a simple MPI measurement.

Highlights

  • We aimed to investigate the relationship between myocardial performance index (MPI) and severity of coronary artery disease, as assessed by the Gensini score (GS), in patients with non-ST-segment elevation myocardial infarction (NSTEMI)

  • ejection fraction (EF), as determined by routine 2D echocardiography, is the most widely used instrumental parameter for the evaluation of left ventricular function, but this parameter focuses only on systolic function. Both systolic and diastolic functions are frequently affected during an acute myocardial infarction (AMI), and a combined measurement of left ventricular performance may be more useful in assessing overall cardiac function than systolic or diastolic measures alone

  • The prevalence of risk factors did not differ among groups of patients classified according to the GS, and MPI was an independent predictor of GS

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Summary

Introduction

Objectives: We aimed to investigate the relationship between myocardial performance index (MPI) and severity of coronary artery disease, as assessed by the Gensini score (GS), in patients with non-ST-segment elevation myocardial infarction (NSTEMI). Conclusions: Patients with NSTEMI who fall within the high-risk group may be identified by means of a simple MPI measurement. MPI has been identified as a powerful independent predictor of death from all causes in patients with a recent acute myocardial infarction (AMI).

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