Clin Res Cardiol (2022). https://doi.org/10.1007/s00392-022-02002-5 |
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Optimized Clinical Approach to Identify Left Ventricular Thrombi Following ST-Elevation Myocardial Infarction | ||
M. Reindl1, I. Lechner1, M. Holzknecht1, C. Tiller1, P. Fink1, A. Mayr2, F. Troger2, M. Theurl1, G. Klug1, C. Brenner1, A. Bauer1, B. Metzler1, S. J. Reinstadler1 | ||
1Department für Innere Medizin III - Kardiologie und Angiologie, Medizinische Universität Innsbruck, Innsbruck, AT; 2Klinik für Radiologie, Medizinische Universität Innsbruck, Innsbruck, AT; | ||
Background: Compared with transthoracic echocardiography (TTE), cardiac magnetic resonance (CMR) imaging has a considerably higher sensitivity for left ventricular (LV) thrombus detection in patients after ST-elevation myocardial infarction (STEMI). However, CMR imaging is not routinely available to screen all STEMI patients. The aim of this study was to establish a simple and robust TTE algorithm that identifies specific patients for additional CMR to optimize LV thrombus detection post-STEMI. Methods: In total, 659 consecutive STEMI patients underwent TTE and CMR 3 (interquartile range:2-4) days after infarction (median time difference between both modalities 0.5 days). LV ejection fraction (LVEF) and two different apical wall motion scores (AWMS), one using the 17-segment-model (AWMS17Seg) and one using the 16-segment-model (AWMS16Seg), were evaluated by TTE. Primary endpoint was defined as presence of LV thrombus by CMR (n=31, 5%). Results: The AWMS16Seg showed highest predictive value (area under the curve [AUC]:0.91 [95%CI:0.89-0.93];p<0.001), which was significantly higher (both p-values for difference:<0.05) compared to LVEF (AUC:0.84 [95%CI:0.82-0.87];p<0.001) and AWMS17Seg (AUC:0.87 [95%CI:0.85-0.90];p<0.001). The relation between AWMS16Seg and LV thrombus remained significant after adjustment for LVEF and AWMS17Seg (odds ratio 1.65 [95%CI:1.16-2.35];p=0.006) as well as for clinical (hypertension, hyperlipidemia, peak troponin) and angiographic (culprit lesion, post-interventional TIMI flow) predictors of LV thrombus (both p<0.001). Dichotomization at AWMS16Seg ≥8 (n=222, 34%) allowed detection of all LV thrombi (sensitivity:100%), with a corresponding specificity of 70% (negative and positive predictive value 100% and 14%, respectively). Conclusions: AWMS16Seg by TTE served as simple and very robust predictor of CMR-verified LV thrombi post-STEMI. An AWMS16Seg-based TTE algorithm to identify patients for additional CMR imaging offers great potential to optimize detection of LV thrombi following STEMI. |
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https://dgk.org/kongress_programme/jt2022/aP526.html |