ArticleMolecular imaging and biology2019
Prognostic Value of Early Evaluation of Left Ventricular Dyssynchrony After Myocardial Infarction.
Article in Molecular imaging and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- A diagnostic prediction model for the early detection of heart failure following primary percutaneous coronary intervention in patients with ST-elevation myocardial infarction.American journal of cardiovascular disease · 2024Article
- Application of Magnetic Resonance Strain Analysis Using Feature Tracking in a Myocardial Infarction Model.Tomography (Ann Arbor, Mich.) · 2023Article
- Development of a novel small-animal myocardial phantom can evaluate the image quality of dual-isotope simultaneous acquisition (DISA).Annals of nuclear medicine · 2022Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
purposeDispersion in the contraction of the normally coordinate ventricular system, referred to as left ventricular (LV) dyssynchrony, is constantly observed at different grades of severity after myocardial infarction (MI). We aimed to investigate the prognostic value of early dyssynchrony in adverse cardiac events after MI in a rat model using the quantified gated single photon emission tomography (SPECT; QGS) software. PROCEDURES: After thoracotomy, the left coronary arteries of 16 rats were occluded and reperfused. SPECT was performed with [
resultsFour rats had died, whereas another four rats presented with severe heart failure. LV end-diastolic volume was increased during follow-up, but no significant changes were noted in the other parameters. The prognosis of rats with lower EF and higher end-diastolic and end-systolic volumes (ESV), PSD, BW, and entropy at 3 days after MI was poor. Adverse cardiac events were associated with lower EF (relative risk [RR] 13.1, 95 % confidence Interval [CI]: 2.1-259.9, P = 0.003), higher ESV (RR 6.4, CI 1.4-45.9, P = 0.01), and higher entropy (RR 4.3, 95 % CI: 1.0-21.8, P = 0.04) by univariate analysis. Multivariate analysis showed that lower EF was the most powerful independent predictor of adverse cardiac events (RR 16.0, CI 1.1-429.2, P = 0.03).
conclusionsSevere early dyssynchrony evaluated by QGS after MI could predict cardiac events in the rat model in the same way as other cardiac function parameters including EF and ESV. The early assessment of dyssynchrony after MI may provide helpful information for the prediction of cardiac events in the future.
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