Transient recovery of epicardial and torso ST-segment ischemic signals during cardiac stress tests: A possible physiological mechanism.

Acute myocardial ischemia Cardiac stress test Experimental model ST-segment changes

Journal

Journal of electrocardiology
ISSN: 1532-8430
Titre abrégé: J Electrocardiol
Pays: United States
ID NLM: 0153605

Informations de publication

Date de publication:
Historique:
received: 14 05 2021
revised: 24 06 2021
accepted: 06 07 2021
pubmed: 14 8 2021
medline: 28 1 2022
entrez: 13 8 2021
Statut: ppublish

Résumé

Acute myocardial ischemia has several characteristic ECG findings, including clinically detectable ST-segment deviations. However, the sensitivity and specificity of diagnosis based on ST-segment changes are low. Furthermore, ST-segment deviations have been shown to be transient and spontaneously recover without any indication the ischemic event has subsided. Assess the transient recovery of ST-segment deviations on remote recording electrodes during a partial occlusion cardiac stress test and compare them to intramyocardial ST-segment deviations. We used a previously validated porcine experimental model of acute myocardial ischemia with controllable ischemic load and simultaneous electrical measurements within the heart wall, on the epicardial surface, and on the torso surface. Simulated cardiac stress tests were induced by occluding a coronary artery while simultaneously pacing rapidly or infusing dobutamine to stimulate cardiac function. Postexperimental imaging created anatomical models for data visualization and quantification. Markers of ischemia were identified as deviations in the potentials measured at 40% of the ST-segment. Intramural cardiac conduction speed was also determined using the inverse gradient method. We assessed changes in intramyocardial ischemic volume proportion, conduction speed, clinical presence of ischemia on remote recording arrays, and regional changes to intramyocardial ischemia. We defined the peak deviation response time as the time interval after onset of ischemia at which maximum ST-segment deviation was achieved, and ST-recovery time was the interval when ST deviation returned to below thresholded of ST elevation. In both epicardial and torso recordings, the peak ST-segment deviation response time was 4.9±1.1 min and the ST-recovery time was approximately 7.9±2.5 min, both well before the termination of the ischemic stress. At peak response time, conduction speed was reduced by 50% and returned to near baseline at ST-recovery. The overall ischemic volume proportion initially increased, on average, to 37% at peak response time; however, it recovered to only 30% at the ST-recovery time. By contrast, the subepicardial region of the myocardial wall showed 40% ischemic volume at peak response time and recovered much more strongly to 25% as epicardial ST-segment deviations returned to baseline. Our data show that remote ischemic signal recovery correlates with a recovery of the subepicardial myocardium, whereas subendocardial ischemic development persists.

Sections du résumé

BACKGROUND
Acute myocardial ischemia has several characteristic ECG findings, including clinically detectable ST-segment deviations. However, the sensitivity and specificity of diagnosis based on ST-segment changes are low. Furthermore, ST-segment deviations have been shown to be transient and spontaneously recover without any indication the ischemic event has subsided.
OBJECTIVE
Assess the transient recovery of ST-segment deviations on remote recording electrodes during a partial occlusion cardiac stress test and compare them to intramyocardial ST-segment deviations.
METHODS
We used a previously validated porcine experimental model of acute myocardial ischemia with controllable ischemic load and simultaneous electrical measurements within the heart wall, on the epicardial surface, and on the torso surface. Simulated cardiac stress tests were induced by occluding a coronary artery while simultaneously pacing rapidly or infusing dobutamine to stimulate cardiac function. Postexperimental imaging created anatomical models for data visualization and quantification. Markers of ischemia were identified as deviations in the potentials measured at 40% of the ST-segment. Intramural cardiac conduction speed was also determined using the inverse gradient method. We assessed changes in intramyocardial ischemic volume proportion, conduction speed, clinical presence of ischemia on remote recording arrays, and regional changes to intramyocardial ischemia. We defined the peak deviation response time as the time interval after onset of ischemia at which maximum ST-segment deviation was achieved, and ST-recovery time was the interval when ST deviation returned to below thresholded of ST elevation.
RESULTS
In both epicardial and torso recordings, the peak ST-segment deviation response time was 4.9±1.1 min and the ST-recovery time was approximately 7.9±2.5 min, both well before the termination of the ischemic stress. At peak response time, conduction speed was reduced by 50% and returned to near baseline at ST-recovery. The overall ischemic volume proportion initially increased, on average, to 37% at peak response time; however, it recovered to only 30% at the ST-recovery time. By contrast, the subepicardial region of the myocardial wall showed 40% ischemic volume at peak response time and recovered much more strongly to 25% as epicardial ST-segment deviations returned to baseline.
CONCLUSION
Our data show that remote ischemic signal recovery correlates with a recovery of the subepicardial myocardium, whereas subendocardial ischemic development persists.

Identifiants

pubmed: 34384615
pii: S0022-0736(21)00150-3
doi: 10.1016/j.jelectrocard.2021.07.007
pmc: PMC8664997
mid: NIHMS1732020
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

38-44

Subventions

Organisme : NHLBI NIH HHS
ID : F30 HL149327
Pays : United States
Organisme : NIGMS NIH HHS
ID : P41 GM103545
Pays : United States
Organisme : NIGMS NIH HHS
ID : R24 GM136986
Pays : United States
Organisme : NIGMS NIH HHS
ID : R25 GM107009
Pays : United States

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

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Auteurs

Brian Zenger (B)

Scientific Computing and Imaging Institute, University of Utah, SLC, UT, USA; Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, SLC, UT, USA; Department of Biomedical Engineering, University of Utah, SLC, UT, USA; School of Medicine, University of Utah, SLC, UT, USA. Electronic address: brian.zenger@hsc.utah.edu.

Wilson W Good (WW)

Scientific Computing and Imaging Institute, University of Utah, SLC, UT, USA; Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, SLC, UT, USA; Department of Biomedical Engineering, University of Utah, SLC, UT, USA.

Jake A Bergquist (JA)

Scientific Computing and Imaging Institute, University of Utah, SLC, UT, USA; Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, SLC, UT, USA; Department of Biomedical Engineering, University of Utah, SLC, UT, USA.

Lindsay C Rupp (LC)

Scientific Computing and Imaging Institute, University of Utah, SLC, UT, USA; Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, SLC, UT, USA; Department of Biomedical Engineering, University of Utah, SLC, UT, USA.

Maura Perez (M)

Scientific Computing and Imaging Institute, University of Utah, SLC, UT, USA.

Gregory J Stoddard (GJ)

Department of Internal Medicine, University of Utah, SLC, UT, USA.

Vikas Sharma (V)

School of Medicine, University of Utah, SLC, UT, USA.

Rob S MacLeod (RS)

Scientific Computing and Imaging Institute, University of Utah, SLC, UT, USA; Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, SLC, UT, USA; Department of Biomedical Engineering, University of Utah, SLC, UT, USA.

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