Prediction of infarct severity from triiodothyronine levels in patients with ST-elevation myocardial infarction

19Citations
Citations of this article
17Readers
Mendeley users who have this article in their library.

Abstract

Background/Aims The aim of the present study was to evaluate the relationship between thyroid hormone levels and infarct severity in patients with ST-elevation myocardial infarction (STEMI). Methods We retrospectively reviewed thyroid hormone levels, infarct severity, and the extent of transmurality in 40 STEMI patients evaluated via contrast-enhanced cardiac magnetic resonance imaging. Results The high triiodothyronine (T 3) group (≥ 68.3 ng/dL) exhibited a significantly higher extent of transmural involvement (late transmural enhancement > 75% after administration of gadolinium contrast agent) than did the low T 3 group (60% vs. 15%; p = 0.003). However, no significant difference was evident between the high- and low-thyroid-stimulating hormone/free thyroxine (FT 4) groups. When the T 3 cutoff level was set to 68.3 ng/dL using a receiver operating characteristic curve, the sensitivity was 80% and the specificity 68% in terms of differentiating between those with and without transmural involvement. Upon logistic regression analysis, high T 3 level was an independent predictor of transmural involvement after adjustment for the presence of diabetes mellitus (DM) and the use of glycoprotein IIb/IIIa inhibitors (odds ratio, 40.62; 95% confidence interval, 3.29 to 502; p = 0.004). Conclusions: The T 3 level predicted transmural involvement that was independent of glycoprotein IIb/IIIa inhibitor use and DM positivity. © 2014 The Korean Association of Internal Medicine.

Cite

CITATION STYLE

APA

Kim, D. H., Choi, D. H., Kim, H. W., Choi, S. W., Kim, B. B., Chung, J. W., … Hong, S. P. (2014). Prediction of infarct severity from triiodothyronine levels in patients with ST-elevation myocardial infarction. Korean Journal of Internal Medicine, 29(4), 454–465. https://doi.org/10.3904/kjim.2014.29.4.454

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free