Related Experiment Video
Updated: Feb 4, 2026

Post-Myocardial Infarction Heart Failure in Closed-chest Coronary Occlusion/Reperfusion Model in Göttingen Minipigs and Landrace Pigs
Published on: April 17, 2021
Prediction of Post Percutaneous Coronary Intervention Myocardial Ischaemia
Alda Huqi1, Giacinta Guarini1, Doralisa Morrone1
1Cardiac Care Unit, Santa Maria Maddalena Hospital, Pisa, Italy.
Insights
Many patients experience symptom relief after revascularization, but some still suffer from myocardial ischemia. Abnormal coronary vasomotion and increased resistance are key factors in post-procedure ischemia.
Area of Science:
- Cardiology
- Interventional Cardiology
Background:
- Revascularization improves quality of life for most patients.
- A significant subset experiences persistent or recurrent myocardial ischemia post-procedure.
Purpose of the Study:
- To explore the determinants of persistent myocardial ischemia after revascularization.
- To identify strategies for predicting and preventing post-percutaneous coronary intervention (PCI) angina.
Main Methods:
- Review of technological advances in imaging and physiological evaluation of epicardial plaques.
- Analysis of recent clinical studies on post-PCI myocardial ischemia.
- Evaluation of patient selection and invasive assessment strategies.
Main Results:
- Inaccurate stenosis evaluation, incomplete revascularization, stent failure, and disease progression are common explanations for symptom recurrence.
- Abnormal coronary vasomotion and increased myocardial resistance are identified as frequent causes of post-PCI ischemia.
- Current imaging and physiological evaluations have not fully resolved the issue of recurrent ischemia.
Conclusions:
- Abnormal coronary vasomotion and increased myocardial resistance are critical factors in post-PCI myocardial ischemia.
- Enhanced patient selection, clinical prediction models, and invasive angiography are crucial for predicting and managing post-PCI angina.
Abstract:
Following revascularisation the majority of patients obtain symptom relief and improved quality of life. However, myocardial ischaemia may recur or persist in a significant patient subset. Symptom recurrence is usually attributed to inaccurate evaluation of epicardial stenosis, incomplete revascularisation or stent failure and disease progression. However, technological advances with modern imaging and/or physiological evaluation of epicardial plaques have not solved this issue. Conversely, recent clinical studies have shown that abnormal coronary vasomotion and increased myocardial resistance are frequent determinants of post-percutaneous coronary intervention (PCI) myocardial ischaemia. Strategies to enhance prediction of post-PCI angina include proper selection of patients undergoing revascularisation, construction of clinical prediction models, and further invasive evaluation at the time of coronary angiography in those with high likelihood.
Related Concept Videos
Nursing Interventions I: Taxonomy of Nursing Interventions
A nursing intervention is a treatment or action based on scientific concepts and knowledge from the nursing, behavioral, and physical sciences. Identifying and prioritizing nursing interventions based on the desired outcome...
Nursing Interventions II: Selecting and Classifying the Nursing Interventions
Predicting Molecular Geometry
Coronary Circulation
Coronary circulation begins at the base of the aorta, where two main arteries arise—the left and right coronary arteries. These arteries encircle the heart in the coronary sulcus and supply the...
Community Based Intervention
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

