Related Experiment Video
Updated: Feb 20, 2026
In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Estimating prognosis in patients with acute myocardial infarction using personalized computational heart models
Hao Gao1, Kenneth Mangion2,3, David Carrick2,3
1School of Mathematics and Statistics, University of Glasgow, Glasgow, UK.
Insights
Biomechanical models show potential for predicting outcomes after ST-segment-elevation myocardial infarction (STEMI). Early measurements of myocardial contractility (T req) correlate with long-term left ventricular function recovery in STEMI patients.
Area of Science:
- Cardiovascular Research
- Biomedical Engineering
- Computational Modeling
Background:
- Biomechanical computational models offer potential prognostic value in patients post-acute ST-segment-elevation myocardial infarction (STEMI).
- Left ventricular (LV) systolic dysfunction is a common complication following STEMI.
- Personalized biomechanical heart models can be synthesized from cardiac imaging data.
Purpose of the Study:
- To investigate the prognostic utility of biomechanical computational models in STEMI patients.
- To assess myocardial contractility using personalized heart models derived from cardiac MRI.
- To explore the relationship between early biomechanical parameters and long-term LV function.
Main Methods:
- Two groups were studied: acute STEMI patients with LV systolic dysfunction (n=6) and age/sex-matched healthy controls (n=6).
- Cardiac MRI was performed at 2 days and 6 months post-STEMI for patients, and once for controls.
- Personalized biomechanical heart models were created, and parameters like normalized active tension (AT norm) and active tension at resting sarcomere length (T req) were determined by matching LV dynamics.
Main Results:
- STEMI patients exhibited increased LV wall active tension normalized by systolic blood pressure compared to controls.
- A significant linear relationship was found between T req measured 2 days post-MI and global longitudinal strain at 6 months (r=0.86, p=0.03).
- This suggests T req may predict longer-term LV function changes in STEMI patients with LV dysfunction.
Conclusions:
- Biomechanical computational models show promise for prognostication in STEMI patients.
- Early T req measurements could serve as a biomarker for predicting long-term recovery of LV function.
- Further research is warranted to validate these findings in larger cohorts.
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 (AT norm) and active tension at the resting sarcomere length (T req, 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 T req 2 days post-MI and global longitudinal strain 6 months later (r = 0.86; p = 0.03). T req may be associated with changes in LV function in the longer term in STEMI patients complicated by LV dysfunction. Further studies seem warranted.
