Estimating prognosis in patients with acute myocardial infarction using personalized computational heart models

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
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Berry, Professor Colin and Luo, Professor Xiaoyu and Mangion, Dr Kenneth and Gao, Dr Hao and Husmeier, Professor Dirk and Carrick, Dr David
Authors: Gao, H., Mangion, K., Carrick, D., Husmeier, D., Luo, X., and Berry, C.
College/School:College of Medical Veterinary and Life Sciences > Institute of Cardiovascular and Medical Sciences
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 Publishing Group
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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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
694461EPSRC Centre for Multiscale soft tissue mechanics with application to heart & cancerRaymond OgdenEngineering and Physical Sciences Research Council (EPSRC)EP/N014642/1M&S - MATHEMATICS
662681"First steps towards modelling myocardial infarction (a computed MI Physiome): A case-control study of novel biomechanical parameters in acute MI survivors with left ventricular dysfunction."Colin BerryBritish Heart Foundation (BHF)PG/14/64/31043RI CARDIOVASCULAR & MEDICAL SCIENCES
544551Validation and significance of myocardial haemorrhage revealed by "bright blood" T2-weighted MRI in heart attack survivors: a prospective cohort study.Colin BerryBritish Heart Foundation (BHF)PG/11/2/28474RI CARDIOVASCULAR & MEDICAL SCIENCES
699321Myocardial strain measurements in survivors of acute ST-elevation myocardial infarction: implementation and prognostic significance of novel magnetic resonance imaging methods.Colin BerryBritish Heart Foundation (BHF)FS/15/54/31639RI CARDIOVASCULAR & MEDICAL SCIENCES
560111Finite element-immersed boundary method and its application to mitral valvesXiaoyu LuoEngineering and Physical Sciences Research Council (EPSRC)EP/I029990/1M&S - MATHEMATICS
689601The first fully coupled mitral valve - left ventricle computational modelXiaoyu LuoLeverhulme Trust (LEVERHUL)RF-2015-510M&S - MATHEMATICS