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P‐wave durations from automated electrocardiogram analysis to predict atrial fibrillation and mortality in heart failure
BACKGROUND: P‐wave indices have been used to predict incident atrial fibrillation (AF), stroke, and mortality. However, such indices derived from automated ECG measurements have not been explored for their predictive values in heart failure (HF). We investigated whether automated P‐wave indices can...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053164/ https://www.ncbi.nlm.nih.gov/pubmed/36461637 http://dx.doi.org/10.1002/ehf2.14230 |
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author | Zhou, Jiandong Li, Andrew Tan, Martin Lam, Matthew Chung Yan Hung, Lok Tin Siu, Ronald Wing Hei Lee, Sharen Lakhani, Ishan Chan, Jeffrey Shi Kai Bin Waleed, Khalid Liu, Tong Jeevaratnam, Kamalan Zhang, Qingpeng Tse, Gary |
author_facet | Zhou, Jiandong Li, Andrew Tan, Martin Lam, Matthew Chung Yan Hung, Lok Tin Siu, Ronald Wing Hei Lee, Sharen Lakhani, Ishan Chan, Jeffrey Shi Kai Bin Waleed, Khalid Liu, Tong Jeevaratnam, Kamalan Zhang, Qingpeng Tse, Gary |
author_sort | Zhou, Jiandong |
collection | PubMed |
description | BACKGROUND: P‐wave indices have been used to predict incident atrial fibrillation (AF), stroke, and mortality. However, such indices derived from automated ECG measurements have not been explored for their predictive values in heart failure (HF). We investigated whether automated P‐wave indices can predict adverse outcomes in HF. METHODS: This study included consecutive Chinese patients admitted to a single tertiary centre, presenting with HF but without prior AF, and with at least one baseline ECG, between 1 January 2010 and 31 December 2016, with last follow‐up of 31 December 2019. RESULTS: A total of 2718 patients were included [median age: 77.4, interquartile range (IQR): (66.9–84.3) years; 47.9 males]. After a median follow‐up of 4.8 years (IQR: 1.9–9.0 years), 1150 patients developed AF (8.8/year), 339 developed stroke (2.6/year), 563 developed cardiovascular mortality (4.3/year), and 1972 had all‐cause mortality (15.1/year). Compared with 101–120 ms as a reference, maximum P‐wave durations predicted new‐onset AF at ≤90 ms [HR: 1.17(1.11, 1.50), P < 0.01], 131–140 ms [HR: 1.29(1.09, 1.54), P < 0.001], and ≥141 ms [HR: 1.52(1.32, 1.75), P < 0.001]. Similarly, they predicted cardiovascular mortality at ≤90 ms [HR: 1.50(1.08, 2.06), P < 0.001] or ≥141 ms [HR: 1.18(1.15, 1.45), P < 0.001], and all‐cause mortality at ≤90 ms [HR: 1.26(1.04, 1.51), P < 0.001], 131–140 ms [HR: 1.15(1.01, 1.32), P < 0.01], and ≥141 ms [HR: 1.31(1.18, 1.46), P < 0.001]. These remained significant after adjusting for significant demographics, past co‐morbidities, P‐wave dispersion, and maximum P‐wave amplitude. CONCLUSIONS: Extreme values of maximum P‐wave durations (≤90 ms and ≥141 ms) were significant predictors of new‐onset AF, cardiovascular mortality, and all‐cause mortality. |
format | Online Article Text |
id | pubmed-10053164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100531642023-03-30 P‐wave durations from automated electrocardiogram analysis to predict atrial fibrillation and mortality in heart failure Zhou, Jiandong Li, Andrew Tan, Martin Lam, Matthew Chung Yan Hung, Lok Tin Siu, Ronald Wing Hei Lee, Sharen Lakhani, Ishan Chan, Jeffrey Shi Kai Bin Waleed, Khalid Liu, Tong Jeevaratnam, Kamalan Zhang, Qingpeng Tse, Gary ESC Heart Fail Original Articles BACKGROUND: P‐wave indices have been used to predict incident atrial fibrillation (AF), stroke, and mortality. However, such indices derived from automated ECG measurements have not been explored for their predictive values in heart failure (HF). We investigated whether automated P‐wave indices can predict adverse outcomes in HF. METHODS: This study included consecutive Chinese patients admitted to a single tertiary centre, presenting with HF but without prior AF, and with at least one baseline ECG, between 1 January 2010 and 31 December 2016, with last follow‐up of 31 December 2019. RESULTS: A total of 2718 patients were included [median age: 77.4, interquartile range (IQR): (66.9–84.3) years; 47.9 males]. After a median follow‐up of 4.8 years (IQR: 1.9–9.0 years), 1150 patients developed AF (8.8/year), 339 developed stroke (2.6/year), 563 developed cardiovascular mortality (4.3/year), and 1972 had all‐cause mortality (15.1/year). Compared with 101–120 ms as a reference, maximum P‐wave durations predicted new‐onset AF at ≤90 ms [HR: 1.17(1.11, 1.50), P < 0.01], 131–140 ms [HR: 1.29(1.09, 1.54), P < 0.001], and ≥141 ms [HR: 1.52(1.32, 1.75), P < 0.001]. Similarly, they predicted cardiovascular mortality at ≤90 ms [HR: 1.50(1.08, 2.06), P < 0.001] or ≥141 ms [HR: 1.18(1.15, 1.45), P < 0.001], and all‐cause mortality at ≤90 ms [HR: 1.26(1.04, 1.51), P < 0.001], 131–140 ms [HR: 1.15(1.01, 1.32), P < 0.01], and ≥141 ms [HR: 1.31(1.18, 1.46), P < 0.001]. These remained significant after adjusting for significant demographics, past co‐morbidities, P‐wave dispersion, and maximum P‐wave amplitude. CONCLUSIONS: Extreme values of maximum P‐wave durations (≤90 ms and ≥141 ms) were significant predictors of new‐onset AF, cardiovascular mortality, and all‐cause mortality. John Wiley and Sons Inc. 2022-12-02 /pmc/articles/PMC10053164/ /pubmed/36461637 http://dx.doi.org/10.1002/ehf2.14230 Text en © 2022 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Zhou, Jiandong Li, Andrew Tan, Martin Lam, Matthew Chung Yan Hung, Lok Tin Siu, Ronald Wing Hei Lee, Sharen Lakhani, Ishan Chan, Jeffrey Shi Kai Bin Waleed, Khalid Liu, Tong Jeevaratnam, Kamalan Zhang, Qingpeng Tse, Gary P‐wave durations from automated electrocardiogram analysis to predict atrial fibrillation and mortality in heart failure |
title | P‐wave durations from automated electrocardiogram analysis to predict atrial fibrillation and mortality in heart failure |
title_full | P‐wave durations from automated electrocardiogram analysis to predict atrial fibrillation and mortality in heart failure |
title_fullStr | P‐wave durations from automated electrocardiogram analysis to predict atrial fibrillation and mortality in heart failure |
title_full_unstemmed | P‐wave durations from automated electrocardiogram analysis to predict atrial fibrillation and mortality in heart failure |
title_short | P‐wave durations from automated electrocardiogram analysis to predict atrial fibrillation and mortality in heart failure |
title_sort | p‐wave durations from automated electrocardiogram analysis to predict atrial fibrillation and mortality in heart failure |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10053164/ https://www.ncbi.nlm.nih.gov/pubmed/36461637 http://dx.doi.org/10.1002/ehf2.14230 |
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