Abstract 4144536: Predicting Intramyocardial Hemorrhage Following Reperfusion Therapy for Acute MI with Coronary Biomarkers and Hemodynamic Modeling

Introduction: Emergency PCI has reduced immediate death in STEMI patients. However, reperfusion therapy can cause intramyocardial hemorrhage (IMH) in 40% of STEMI patients and has emerged as a major predictor of adverse CV events. The mechanisms contributing to the development of IMH, however, are not understood. Research Hypothesis: We hypothesize that hemodynamic forces (pressure variation and blood flow redistribution) influenced by the topological organization of coronary vasculature plays a major role in IMH development. Goal: We tested our hypothesis by developing a computational model of the coronary vasculature to determine patient-specific coronary network topology biomarkers and hemodynamics associated with IMH. Methods: Pre- and post-PCI coronary angiograms from STEMI patients (n=17) were stratified into 4 groups (IMH:H; Collaterals: C): H-/C+; H+/C-, H-/C-, and H+/C+). T2* MRI was used to identify IMH. Vascular topology and hemodynamics of the main branches of LCx and LAD and associated collaterals (if present) were determined. Computational model used input pressure of 100mmHg, 40mmHg threshold for IMH in microvasculature, and pressure-flow relationships. Results: A higher density of vessels on angiograms in the H-/C+ group (91±15) vs H+/C- (47±19) with smaller vessel diameters (1.2±0.2mm (H-/C+) vs 1.6±0.4mm (H+/C-)) of shorter length (7.4±1.1mm vs 11±3.5mm) were observed. There were more 3 rd or 4 th order arterioles (41±6.7 vs. 21±8) with smaller diameters (0.72±0.6 vs. 0.9±0.2mm) in H-/C+ vs H+/C-. The Junctional Exponent (JE, a coronary network biomarker) was significantly lower in the H-/C+ vs other groups in pre-PCI (1.48±0.1 vs 1.74±0.02 H+/C- p=0.021; 1.79±0.12 H-/C- p=0.021; 1.6±0.12 H+/C+ p=0.008) and post PCI (1.44±0.11 vs 1.87±0.19 H+/C- p=0.02; 1.64±0.07 H-/C- p=0.04) except H+/C+ (1.58±0.11 H+/C- p=0.46) suggesting hemodynamically efficient branching structure in the H-/C+ group. Hemodynamic simulations indicated that prior to PCI, collaterals provide some tissue perfusion to the MI area whereas, after PCI, collaterals play minimal role in flow redistribution. Mean segment pressure was lower in the H-/C+ vs. H+/C- groups (55.6±4.2 vs. 60.8±7.7mmHg, p=0.41) whereas the terminal arterial flows were not different (p=0.94). Conclusions: Our early findings support the notion that coronary network topology influences hemodynamic factors and contributes to the development of hemorrhagic MI.

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Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4144536
Primary Topic
Cardiovascular Function and Risk Factors
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article

Abstract 4144536: Predicting Intramyocardial Hemorrhage Following Reperfusion Therapy for Acute MI with Coronary Biomarkers and Hemodynamic Modeling

Gabriel Gruionu, Keyur Vora, Rohan Dharmakumar, Khalid Youssef
Circulation
Cardiovascular Function and Risk Factors
article

Abstract 4144536: Predicting Intramyocardial Hemorrhage Following Reperfusion Therapy for Acute MI with Coronary Biomarkers and Hemodynamic Modeling

Gabriel Gruionu, Keyur Vora, Rohan Dharmakumar, Khalid Youssef
article en

Abstract

Introduction: Emergency PCI has reduced immediate death in STEMI patients. However, reperfusion therapy can cause intramyocardial hemorrhage (IMH) in 40% of STEMI patients and has emerged as a major predictor of adverse CV events. The mechanisms contributing to the development of IMH, however, are not understood. Research Hypothesis: We hypothesize that hemodynamic forces (pressure variation and blood flow redistribution) influenced by the topological organization of coronary vasculature plays a major role in IMH development. Goal: We tested our hypothesis by developing a computational model of the coronary vasculature to determine patient-specific coronary network topology biomarkers and hemodynamics associated with IMH. Methods: Pre- and post-PCI coronary angiograms from STEMI patients (n=17) were stratified into 4 groups (IMH:H; Collaterals: C): H-/C+; H+/C-, H-/C-, and H+/C+). T2* MRI was used to identify IMH. Vascular topology and hemodynamics of the main branches of LCx and LAD and associated collaterals (if present) were determined. Computational model used input pressure of 100mmHg, 40mmHg threshold for IMH in microvasculature, and pressure-flow relationships. Results: A higher density of vessels on angiograms in the H-/C+ group (91±15) vs H+/C- (47±19) with smaller vessel diameters (1.2±0.2mm (H-/C+) vs 1.6±0.4mm (H+/C-)) of shorter length (7.4±1.1mm vs 11±3.5mm) were observed. There were more 3 rd or 4 th order arterioles (41±6.7 vs. 21±8) with smaller diameters (0.72±0.6 vs. 0.9±0.2mm) in H-/C+ vs H+/C-. The Junctional Exponent (JE, a coronary network biomarker) was significantly lower in the H-/C+ vs other groups in pre-PCI (1.48±0.1 vs 1.74±0.02 H+/C- p=0.021; 1.79±0.12 H-/C- p=0.021; 1.6±0.12 H+/C+ p=0.008) and post PCI (1.44±0.11 vs 1.87±0.19 H+/C- p=0.02; 1.64±0.07 H-/C- p=0.04) except H+/C+ (1.58±0.11 H+/C- p=0.46) suggesting hemodynamically efficient branching structure in the H-/C+ group. Hemodynamic simulations indicated that prior to PCI, collaterals provide some tissue perfusion to the MI area whereas, after PCI, collaterals play minimal role in flow redistribution. Mean segment pressure was lower in the H-/C+ vs. H+/C- groups (55.6±4.2 vs. 60.8±7.7mmHg, p=0.41) whereas the terminal arterial flows were not different (p=0.94). Conclusions: Our early findings support the notion that coronary network topology influences hemodynamic factors and contributes to the development of hemorrhagic MI.

CirculationVol. 150(Suppl_1)
Indiana University – Purdue University Indianapolis (US)
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Openalex Percentile: Top 62%
Cardiovascular Function and Risk Factors
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