Myocardial Performance Index (Tei Index): A simple tool to identify cardiac dysfunction in patients with diabetes mellitus

Abstract Background Cardiac dysfunction is the major cause of morbidity and mortality in diabetes. Myocardial Performance Index (MPI/Tei Index) includes both systolic and diastolic time intervals to assess the global cardiac dysfunction. Our aim was to assess the MPI in patients with type 2 diabetes...

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Veröffentlicht in:Indian heart journal 2016-01, Vol.68 (1), p.83-87
Hauptverfasser: Goroshi, Manjunath, Chand, Dipti
Format: Artikel
Sprache:eng
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Zusammenfassung:Abstract Background Cardiac dysfunction is the major cause of morbidity and mortality in diabetes. Myocardial Performance Index (MPI/Tei Index) includes both systolic and diastolic time intervals to assess the global cardiac dysfunction. Our aim was to assess the MPI in patients with type 2 diabetes. Material and methods This hospital-based analytic observational study was performed in the tertiary care center. The conventional Doppler parameters, tissue Doppler-derived E / E ′ and MPI, were measured in all patients. Results 100 patients with type 2 diabetes were included in the study. 65 patients showed diastolic dysfunction, 33 with Grade I diastolic dysfunction, 23 with Grade II diastolic dysfunction, and 14 patients with Grade III diastolic dysfunction. The conventional Doppler showed abnormality in 44% of patients (33 patients with Grade I and 14 patient with Grade III). 23 patients were in Grade II diastolic dysfunction (12 patients showed reversal E / A on valsalva maneuver and 11 patients showed abnormality in tissue Doppler-derived E / E ′, E / E ′ > 15). MPI with cut-off 0.36 was found to have 94% sensitivity, 100 specificity, and 94% PPV for the detection of cardiac dysfunction. MPI negatively correlated with systolic dysfunction (rho = 0.455, p < 0.001) and positively correlated with grade of diastolic dysfunction (rho = 0.832, p < 0.001) and NYHA grading of dyspnea (rho = 0.872, p < 0.001) Conclusions MPI as a single parameter can be used for assessment in diabetic cardiac dysfunction.
ISSN:0019-4832
DOI:10.1016/j.ihj.2015.06.022