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The Probability of Inconstancy in Assessment of Cardiac Function Post-Myocardial Infarction in Mice
In the present study, we explore the inherent variability that leads to overlaps in cardiac functional parameters between control and post-myocardial infarction (MI) mice. Heart failure was induced by Left Coronary Artery (LCA) ligation in mice. Average Ejection Fraction (EF) measured by echocardiog...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130155/ https://www.ncbi.nlm.nih.gov/pubmed/27917392 |
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author | Chen, Jiqiu Hammoudi, Nadjib Benard, Ludovic Ceholski, Delaine K Zhang, Shihong Lebeche, Djamel Hajjar, Roger J |
author_facet | Chen, Jiqiu Hammoudi, Nadjib Benard, Ludovic Ceholski, Delaine K Zhang, Shihong Lebeche, Djamel Hajjar, Roger J |
author_sort | Chen, Jiqiu |
collection | PubMed |
description | In the present study, we explore the inherent variability that leads to overlaps in cardiac functional parameters between control and post-myocardial infarction (MI) mice. Heart failure was induced by Left Coronary Artery (LCA) ligation in mice. Average Ejection Fraction (EF) measured by echocardiography was lower in MI mice compared to control, but exhibited higher Standard Deviation (SD) and Standard Error (SEM), notably in 2D mode. Fractional Shortening (FS) showed a higher degree of overlap between MI and control mice even though the mean values were significantly different. Hemodynamic measurements of EF resulted in greater SD, SEM, ± 95% confidence intervals, and effect size. In comparing echocardiography at different time points, EF and FS were consistent by mean, but had apparent fluctuation in individual tracks, which were more obvious in MI than control mice. Hemodynamic measurements showed more complexity in data collection in mice in vivo. MI size showed variability that correlated with severity of cardiac function. These studies show that there is inherent variability in functional cardiac parameters after induction of heart failure by MI in mice. Analysis of these parameters by traditional statistical methods is insufficient, and we propose a more robust statistical analysis for proper data interpretation. |
format | Online Article Text |
id | pubmed-5130155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
record_format | MEDLINE/PubMed |
spelling | pubmed-51301552017-03-09 The Probability of Inconstancy in Assessment of Cardiac Function Post-Myocardial Infarction in Mice Chen, Jiqiu Hammoudi, Nadjib Benard, Ludovic Ceholski, Delaine K Zhang, Shihong Lebeche, Djamel Hajjar, Roger J Cardiovasc Pharm Open Access Article In the present study, we explore the inherent variability that leads to overlaps in cardiac functional parameters between control and post-myocardial infarction (MI) mice. Heart failure was induced by Left Coronary Artery (LCA) ligation in mice. Average Ejection Fraction (EF) measured by echocardiography was lower in MI mice compared to control, but exhibited higher Standard Deviation (SD) and Standard Error (SEM), notably in 2D mode. Fractional Shortening (FS) showed a higher degree of overlap between MI and control mice even though the mean values were significantly different. Hemodynamic measurements of EF resulted in greater SD, SEM, ± 95% confidence intervals, and effect size. In comparing echocardiography at different time points, EF and FS were consistent by mean, but had apparent fluctuation in individual tracks, which were more obvious in MI than control mice. Hemodynamic measurements showed more complexity in data collection in mice in vivo. MI size showed variability that correlated with severity of cardiac function. These studies show that there is inherent variability in functional cardiac parameters after induction of heart failure by MI in mice. Analysis of these parameters by traditional statistical methods is insufficient, and we propose a more robust statistical analysis for proper data interpretation. 2016-09-09 2016 /pmc/articles/PMC5130155/ /pubmed/27917392 Text en http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Article Chen, Jiqiu Hammoudi, Nadjib Benard, Ludovic Ceholski, Delaine K Zhang, Shihong Lebeche, Djamel Hajjar, Roger J The Probability of Inconstancy in Assessment of Cardiac Function Post-Myocardial Infarction in Mice |
title | The Probability of Inconstancy in Assessment of Cardiac Function Post-Myocardial Infarction in Mice |
title_full | The Probability of Inconstancy in Assessment of Cardiac Function Post-Myocardial Infarction in Mice |
title_fullStr | The Probability of Inconstancy in Assessment of Cardiac Function Post-Myocardial Infarction in Mice |
title_full_unstemmed | The Probability of Inconstancy in Assessment of Cardiac Function Post-Myocardial Infarction in Mice |
title_short | The Probability of Inconstancy in Assessment of Cardiac Function Post-Myocardial Infarction in Mice |
title_sort | probability of inconstancy in assessment of cardiac function post-myocardial infarction in mice |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130155/ https://www.ncbi.nlm.nih.gov/pubmed/27917392 |
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