ArticleCardiovascular journal of Africa
Relationship between myocardial performance index and severity of coronary artery disease in patients with non-ST-segment elevation acute coronary syndrome.
Article in Cardiovascular journal of Africa. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Ejection fraction and absolute delta troponin in the early emergency department assessment of high coronary disease burden in NSTEMI patients: a retrospective observational study.BMC emergency medicine · 2026Observational
- Effects of Premature Ventricular Complex Burden on Left Ventricular Global Longitudinal Strain in Patients without Structural Heart Disease.Journal of clinical medicine · 2024Article
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9 authors.
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Abstract
objectivesWe 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.
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