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Instantaneous detection of acute myocardial infarction and ischaemia from a single carotid pressure waveform in rats

AIMS: Myocardial infarction (MI) is one of the leading causes of death worldwide. It is well accepted that early diagnosis followed by early reperfusion therapy significantly increases the MI survival. Diagnosis of acute MI is traditionally based on the presence of chest pain and electrocardiogram (...

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Autores principales: Alavi, Rashid, Dai, Wangde, Matthews, Ray V, Kloner, Robert A, Pahlevan, Niema M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578505/
https://www.ncbi.nlm.nih.gov/pubmed/37849787
http://dx.doi.org/10.1093/ehjopen/oead099
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author Alavi, Rashid
Dai, Wangde
Matthews, Ray V
Kloner, Robert A
Pahlevan, Niema M
author_facet Alavi, Rashid
Dai, Wangde
Matthews, Ray V
Kloner, Robert A
Pahlevan, Niema M
author_sort Alavi, Rashid
collection PubMed
description AIMS: Myocardial infarction (MI) is one of the leading causes of death worldwide. It is well accepted that early diagnosis followed by early reperfusion therapy significantly increases the MI survival. Diagnosis of acute MI is traditionally based on the presence of chest pain and electrocardiogram (ECG) criteria. However, around 50% of the MIs are without chest pain, and ECG is neither completely specific nor definitive. Therefore, there is an unmet need for methods that allow detection of acute MI or ischaemia without using ECG. Our hypothesis is that a hybrid physics-based machine learning (ML) method can detect the occurrence of acute MI or ischaemia from a single carotid pressure waveform. METHODS AND RESULTS: We used a standard occlusion/reperfusion rat model. Physics-based ML classifiers were developed using intrinsic frequency parameters extracted from carotid pressure waveforms. ML models were trained, validated, and generalized using data from 32 rats. The final ML models were tested on an external stratified blind dataset from additional 13 rats. When tested on blind data, the best ML model showed specificity = 0.92 and sensitivity = 0.92 for detecting acute MI. The best model’s specificity and sensitivity for ischaemia detection were 0.85 and 0.92, respectively. CONCLUSION: We demonstrated that a hybrid physics-based ML approach can detect the occurrence of acute MI and ischaemia from carotid pressure waveform in rats. Since carotid pressure waveforms can be measured non-invasively, this proof-of-concept pre-clinical study can potentially be expanded in future studies for non-invasive detection of MI or myocardial ischaemia.
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spelling pubmed-105785052023-10-17 Instantaneous detection of acute myocardial infarction and ischaemia from a single carotid pressure waveform in rats Alavi, Rashid Dai, Wangde Matthews, Ray V Kloner, Robert A Pahlevan, Niema M Eur Heart J Open Original Article AIMS: Myocardial infarction (MI) is one of the leading causes of death worldwide. It is well accepted that early diagnosis followed by early reperfusion therapy significantly increases the MI survival. Diagnosis of acute MI is traditionally based on the presence of chest pain and electrocardiogram (ECG) criteria. However, around 50% of the MIs are without chest pain, and ECG is neither completely specific nor definitive. Therefore, there is an unmet need for methods that allow detection of acute MI or ischaemia without using ECG. Our hypothesis is that a hybrid physics-based machine learning (ML) method can detect the occurrence of acute MI or ischaemia from a single carotid pressure waveform. METHODS AND RESULTS: We used a standard occlusion/reperfusion rat model. Physics-based ML classifiers were developed using intrinsic frequency parameters extracted from carotid pressure waveforms. ML models were trained, validated, and generalized using data from 32 rats. The final ML models were tested on an external stratified blind dataset from additional 13 rats. When tested on blind data, the best ML model showed specificity = 0.92 and sensitivity = 0.92 for detecting acute MI. The best model’s specificity and sensitivity for ischaemia detection were 0.85 and 0.92, respectively. CONCLUSION: We demonstrated that a hybrid physics-based ML approach can detect the occurrence of acute MI and ischaemia from carotid pressure waveform in rats. Since carotid pressure waveforms can be measured non-invasively, this proof-of-concept pre-clinical study can potentially be expanded in future studies for non-invasive detection of MI or myocardial ischaemia. Oxford University Press 2023-10-03 /pmc/articles/PMC10578505/ /pubmed/37849787 http://dx.doi.org/10.1093/ehjopen/oead099 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Article
Alavi, Rashid
Dai, Wangde
Matthews, Ray V
Kloner, Robert A
Pahlevan, Niema M
Instantaneous detection of acute myocardial infarction and ischaemia from a single carotid pressure waveform in rats
title Instantaneous detection of acute myocardial infarction and ischaemia from a single carotid pressure waveform in rats
title_full Instantaneous detection of acute myocardial infarction and ischaemia from a single carotid pressure waveform in rats
title_fullStr Instantaneous detection of acute myocardial infarction and ischaemia from a single carotid pressure waveform in rats
title_full_unstemmed Instantaneous detection of acute myocardial infarction and ischaemia from a single carotid pressure waveform in rats
title_short Instantaneous detection of acute myocardial infarction and ischaemia from a single carotid pressure waveform in rats
title_sort instantaneous detection of acute myocardial infarction and ischaemia from a single carotid pressure waveform in rats
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578505/
https://www.ncbi.nlm.nih.gov/pubmed/37849787
http://dx.doi.org/10.1093/ehjopen/oead099
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