Gao, H. , Mangion, K., Carrick, D., Husmeier, D. , Luo, X. and Berry, C. (2017) Estimating prognosis in patients with acute myocardial infarction using personalized computational heart models. Scientific Reports, 7, 13527. (doi: 10.1038/s41598-017-13635-2) (PMID:29051544) (PMCID:PMC5648923)
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Abstract
Biomechanical computational models have potential prognostic utility in patients after an acute ST-segment–elevation myocardial infarction (STEMI). In a proof-of-concept study, we defined two groups (1) an acute STEMI group (n = 6, 83% male, age 54 ± 12 years) complicated by left ventricular (LV) systolic dysfunction; (2) an age- and sex- matched hyper-control group (n = 6, 83% male, age 46 ± 14 years), no prior history of cardiovascular disease and normal systolic blood pressure (SBP < 130 mmHg). Cardiac MRI was performed in the patients (2 days & 6 months post-STEMI) and the volunteers, and biomechanical heart models were synthesized for each subject. The candidate parameters included normalized active tension (ATnorm) and active tension at the resting sarcomere length (Treq, reflecting required contractility). Myocardial contractility was inversely determined from personalized heart models by matching CMR-imaged LV dynamics. Compared with controls, patients with recent STEMI exhibited increased LV wall active tension when normalized by SBP. We observed a linear relationship between Treq 2 days post-MI and global longitudinal strain 6 months later (r = 0.86; p = 0.03). Treq may be associated with changes in LV function in the longer term in STEMI patients complicated by LV dysfunction. Further studies seem warranted.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Berry, Professor Colin and Gao, Dr Hao and Carrick, Dr David and Luo, Professor Xiaoyu and Mangion, Dr Kenneth and Husmeier, Professor Dirk |
Authors: | Gao, H., Mangion, K., Carrick, D., Husmeier, D., Luo, X., and Berry, C. |
College/School: | College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health College of Science and Engineering > School of Mathematics and Statistics > Mathematics College of Science and Engineering > School of Mathematics and Statistics > Statistics |
Journal Name: | Scientific Reports |
Publisher: | Nature Research |
ISSN: | 2045-2322 |
ISSN (Online): | 2045-2322 |
Copyright Holders: | Copyright © 2017 The Authors |
First Published: | First published in Scientific Reports 7:13527 |
Publisher Policy: | Reproduced under a Creative Commons License |
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