564 Cardiac magnetic resonance myocardial feature tracking for optimized risk assessment after acute myocardial infarction in patients with type 2 diabetes

Autor: Karl-Philipp Rommel, Johannes T. Kowallick, Alexander Koschalka, J L Navarra, Ingo Eitel, Jeffrey C. Lotz, T Stiermaier, Gerd Hasenfuß, Torben Lange, Shelby Kutty, Matthias Gutberlet, S J Backhaus, Holger Thiele, Andreas Schuster
Rok vydání: 2020
Předmět:
Zdroj: European Heart Journal - Cardiovascular Imaging. 21
ISSN: 2047-2412
2047-2404
DOI: 10.1093/ehjci/jez319.294
Popis: Objective Type 2 diabetes mellitus (T2DM) associates with worse cardiovascular outcome following acute myocardial infarction (AMI) as compared to non-diabetic patients. Since the mechanisms behind these observations are not fully understood we aimed to quantify the underlying pathophysiology on ventricular and atrial levels and study their prognostic implications using cardiovascular magnetic resonance (CMR) quantitative feature-tracking (FT) and tissue characterization. Research Design and Methods: A total of 1147 consecutive patients with AMI (n = 265 with diabetes; n = 882 without diabetes) undergoing cardiac magnetic resonance (CMR) imaging in median 3 days after AMI were included in this multicenter study. Left ventricular (LV) function and volumetry included LV ejection fraction (LV-EF), global longitudinal (GLS), radial (GRS) and circumferential strain (GCS) as well as left atrial (LA) strain and strain rate parameters of LA reservoir, conduit and booster pump function. LV damage assessment included infarct size (IS), edema and microvascular obstruction (MO). The clinical study endpoint was the rate of major adverse cardiovascular events (MACE) at 12 months. Results T2DM patients had impaired LA reservoir (19.8 vs. 21.2%, p Conclusions In patients with diabetes, LA and LV longitudinal strain permit optimized risk assessment early after reperfused AMI with incremental prognostic value over and above LVEF.
Databáze: OpenAIRE