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Echocardiography and Electrocardiography Variables Correlate With the New York Heart Association classification: An Observational Study of Ischemic Cardiomyopathy Patients
The aim of our study was to determine whether combinations of ultrasound echocardiography (UCG) and electrocardiography (EKG) parameters correlated with the functional status of ischemic cardiomyopathy (ICM) patients according to the New York Heart Association (NYHA) classification system. We assess...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5500022/ https://www.ncbi.nlm.nih.gov/pubmed/28658100 http://dx.doi.org/10.1097/MD.0000000000007071 |
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author | Hu, Ying Jiang, Shifeng Lu, Siyuan Xu, Rong Huang, Yunping Zhao, Zongliang Qu, Yi |
author_facet | Hu, Ying Jiang, Shifeng Lu, Siyuan Xu, Rong Huang, Yunping Zhao, Zongliang Qu, Yi |
author_sort | Hu, Ying |
collection | PubMed |
description | The aim of our study was to determine whether combinations of ultrasound echocardiography (UCG) and electrocardiography (EKG) parameters correlated with the functional status of ischemic cardiomyopathy (ICM) patients according to the New York Heart Association (NYHA) classification system. We assessed 536 elderly Chinese ICM patients according to the NYHA criteria, which included 196 patients with type 2 diabetes mellitus (T2DM). All of the patients underwent UCG. Transmural dispersion of ventricular repolarization was examined using EKG. Cumulative odds logistic regression was performed to evaluate associations between NYHA class and the demographic, clinical, UCG, and EKG variables based on the odds ratio (OR) and 95% confidence interval (CI). A Pearson analysis was also performed to examine correlations between the NYHA classification and the UCG and EKG variables. Based on the NYHA assessment, 140, 147, 138, and 111 patients were identified as class I, II, III and IV, respectively. A comparison of UCG and EKG variables based on T2DM status showed that CO and Tp-e differed significantly between all NYHA classes (P < .05 for all), with values of each increasing with increasing NYHA class regardless of T2DM status. Multivariate logistic regression analysis showed that the disease course (OR: 1.30; 95% CI: 1.20–1.40), heart rate (OR: 1.16; 95% CI: 1.12–1.21), T wave peak to endpoint (Tp-e; OR: 1.22; 95% CI: 1.18–1.27), dispersion of the QT interval (OR: 0.98; 95% CI: 0.95–1.22), left ventricular fractional shortening (OR: 0.82; 95% CI: 0.78–0.87), cardiac output (CO; OR: 5.58; 95% CI: 3.08–10.13) were significantly associated with the NYHA class (P < .0001 for all). A Pearson correlation analysis showed that Tp-e (r = 0.75982, P < .0001), CO (r = 0.56072, P < .0001), and stroke volume (r = −0.14839, P = .0006) significantly correlated with the NYHA class. An index consisting of Tp-e and CO will be useful for corroborating the results of the NYHA assessment of ICM patients. |
format | Online Article Text |
id | pubmed-5500022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-55000222017-07-17 Echocardiography and Electrocardiography Variables Correlate With the New York Heart Association classification: An Observational Study of Ischemic Cardiomyopathy Patients Hu, Ying Jiang, Shifeng Lu, Siyuan Xu, Rong Huang, Yunping Zhao, Zongliang Qu, Yi Medicine (Baltimore) 3400 The aim of our study was to determine whether combinations of ultrasound echocardiography (UCG) and electrocardiography (EKG) parameters correlated with the functional status of ischemic cardiomyopathy (ICM) patients according to the New York Heart Association (NYHA) classification system. We assessed 536 elderly Chinese ICM patients according to the NYHA criteria, which included 196 patients with type 2 diabetes mellitus (T2DM). All of the patients underwent UCG. Transmural dispersion of ventricular repolarization was examined using EKG. Cumulative odds logistic regression was performed to evaluate associations between NYHA class and the demographic, clinical, UCG, and EKG variables based on the odds ratio (OR) and 95% confidence interval (CI). A Pearson analysis was also performed to examine correlations between the NYHA classification and the UCG and EKG variables. Based on the NYHA assessment, 140, 147, 138, and 111 patients were identified as class I, II, III and IV, respectively. A comparison of UCG and EKG variables based on T2DM status showed that CO and Tp-e differed significantly between all NYHA classes (P < .05 for all), with values of each increasing with increasing NYHA class regardless of T2DM status. Multivariate logistic regression analysis showed that the disease course (OR: 1.30; 95% CI: 1.20–1.40), heart rate (OR: 1.16; 95% CI: 1.12–1.21), T wave peak to endpoint (Tp-e; OR: 1.22; 95% CI: 1.18–1.27), dispersion of the QT interval (OR: 0.98; 95% CI: 0.95–1.22), left ventricular fractional shortening (OR: 0.82; 95% CI: 0.78–0.87), cardiac output (CO; OR: 5.58; 95% CI: 3.08–10.13) were significantly associated with the NYHA class (P < .0001 for all). A Pearson correlation analysis showed that Tp-e (r = 0.75982, P < .0001), CO (r = 0.56072, P < .0001), and stroke volume (r = −0.14839, P = .0006) significantly correlated with the NYHA class. An index consisting of Tp-e and CO will be useful for corroborating the results of the NYHA assessment of ICM patients. Wolters Kluwer Health 2017-06-30 /pmc/articles/PMC5500022/ /pubmed/28658100 http://dx.doi.org/10.1097/MD.0000000000007071 Text en Copyright © 2017 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-sa/4.0 This is an open access article distributed under the Creative Commons Attribution-ShareAlike License 4.0, which allows others to remix, tweak, and build upon the work, even for commercial purposes, as long as the author is credited and the new creations are licensed under the identical terms. http://creativecommons.org/licenses/by-sa/4.0 |
spellingShingle | 3400 Hu, Ying Jiang, Shifeng Lu, Siyuan Xu, Rong Huang, Yunping Zhao, Zongliang Qu, Yi Echocardiography and Electrocardiography Variables Correlate With the New York Heart Association classification: An Observational Study of Ischemic Cardiomyopathy Patients |
title | Echocardiography and Electrocardiography Variables Correlate With the New York Heart Association classification: An Observational Study of Ischemic Cardiomyopathy Patients |
title_full | Echocardiography and Electrocardiography Variables Correlate With the New York Heart Association classification: An Observational Study of Ischemic Cardiomyopathy Patients |
title_fullStr | Echocardiography and Electrocardiography Variables Correlate With the New York Heart Association classification: An Observational Study of Ischemic Cardiomyopathy Patients |
title_full_unstemmed | Echocardiography and Electrocardiography Variables Correlate With the New York Heart Association classification: An Observational Study of Ischemic Cardiomyopathy Patients |
title_short | Echocardiography and Electrocardiography Variables Correlate With the New York Heart Association classification: An Observational Study of Ischemic Cardiomyopathy Patients |
title_sort | echocardiography and electrocardiography variables correlate with the new york heart association classification: an observational study of ischemic cardiomyopathy patients |
topic | 3400 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5500022/ https://www.ncbi.nlm.nih.gov/pubmed/28658100 http://dx.doi.org/10.1097/MD.0000000000007071 |
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