A novel and practical screening tool for the detection of silent myocardial infarction in patients with type 2 diabetes

Peter P. Swoboda, Adam K. McDiarmid, Bara Erhayiem, Philip Haaf, Ananth Kidambi, Graham J. Fent, Laura E. Dobson, Tarique A. Musa, Pankaj Garg, Graham R. Law, Mark T. Kearney, Julian H. Barth, Ramzi Ajjan, John P. Greenwood, Sven Plein

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Objective: Silent myocardial infarction (MI) is a prevalent finding in patients with type 2 diabetes and is associated with significant mortality and morbidity. Late gadolinium enhancement (LGE) by cardiovascular magnetic resonance (CMR) is the most validated technique for detection of silent MI, but is time-consuming, costly, and requires administration of intravenous contrast. We therefore planned to develop a simple and low-cost population screening tool to identify those at highest risk of silent MI validated against the CMR reference standard.

Methods: A total of 100 asymptomatic patients with type 2 diabetes underwent electrocardiogram (ECG), echocardiography, biomarker assessment, and CMR at 3.0T including assessment of left ventricular ejection fraction and LGE. Global longitudinal strain from two- and four-chamber cines was measured using feature tracking.

Results: A total of 17/100 patients with no history of cardiovascular disease had silent MI defined by LGE in an infarct pattern on CMR. Only four patients with silent MI had Q waves on ECG. Patients with silent MI were older (65 vs 60, P = .05), had lower E/A ratio (0.75 vs 0.89, P = .004), lower GLS (–15.2% vs –17.7%, P = .004), and higher amino-terminal pro brain natriuretic peptide (106 ng/L vs 52 ng/L, P = .003). A combined risk score derived from these four factors had an area under the receiver operating characteristic curve of 0.823 (0.734–0.892), P < .0001. A score of more than 3/5 had 82% sensitivity and 72% specificity for silent MI.

Conclusions: Using measures that can be derived in an outpatient clinic setting, we have developed a novel screening tool for the detection of silent MI in type 2 diabetes. The screening tool had significantly superior diagnostic accuracy than current ECG criteria for the detection of silent MI in asymptomatic patients.
Original languageEnglish
Pages (from-to)3316-3323
Number of pages8
JournalJournal of Clinical Endocrinology & Metabolism
Volume101
Issue number9
Early online date14 Jun 2016
DOIs
Publication statusPublished - 1 Sep 2016

Cite this