Reclassification of cardiovascular risk by myocardial perfusion imaging in diabetic patients with abnormal resting electrocardiogram

M. Petretta, W. Acampa, L. Evangelista, S. Daniele, E. Zampella, R. Assante, C. Nappi, V. Cantoni, G. Fiumara, A. Cuocolo

Research output: Contribution to journalArticlepeer-review

Abstract

Background and aims: Despite an extensive use of stress myocardial perfusion single-photon emission computed tomography (MPS), no study addressed the role of perfusion imaging in diabetic patients with abnormal resting electrocardiogram (ECG). We compared analytical approaches to assess the added value of stress MPS variables in estimating coronary heart disease outcomes in diabetic patients with abnormal resting ECG. Methods and results: A total of 416 patients with diabetes and abnormal resting ECG who underwent stress MPS were prospectively followed up after the index study. The end point was the occurrence of a major cardiac event, including cardiac death and nonfatal myocardial infarction. At the end of follow-up (median 58 months), 42 patients experienced events. MPS data increased the predictive value of a model including traditional cardiovascular risk factors and left ventricular (LV) ejection fraction (likelihood ratio χ2 from 17.54 to 24.15, p

Original languageEnglish
Pages (from-to)588-593
Number of pages6
JournalNutrition, Metabolism and Cardiovascular Diseases
Volume24
Issue number6
DOIs
Publication statusPublished - 2014

Keywords

  • Inducible ischemia
  • Myocardial perfusion imaging
  • Prognosis
  • Type 2 diabetes

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Nutrition and Dietetics
  • Endocrinology, Diabetes and Metabolism
  • Cardiology and Cardiovascular Medicine
  • Medicine(all)

Fingerprint

Dive into the research topics of 'Reclassification of cardiovascular risk by myocardial perfusion imaging in diabetic patients with abnormal resting electrocardiogram'. Together they form a unique fingerprint.

Cite this