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Use of the cardiopulmonary coupling index based on refined composite multiscale entropy for prognostication of acute type A aortic dissection

OBJECTIVES: The aim of this study is to assess the influence of cardiopulmonary coupling (CPC) based on RCMSE on the prediction of complications and death in patients with acute type A aortic dissection (ATAAD). BACKGROUND: The cardiopulmonary system may be nonlinearly regulated, and its coupling re...

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Autores principales: Mao, Zhi-Jie, Wen, Wei-Wei, Han, Yi-Chen, Dong, Wei-hua, Shen, Li-juan, Huang, Zhou-Qing, Xie, Qiang-Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031125/
https://www.ncbi.nlm.nih.gov/pubmed/36970336
http://dx.doi.org/10.3389/fcvm.2023.1126889
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author Mao, Zhi-Jie
Wen, Wei-Wei
Han, Yi-Chen
Dong, Wei-hua
Shen, Li-juan
Huang, Zhou-Qing
Xie, Qiang-Li
author_facet Mao, Zhi-Jie
Wen, Wei-Wei
Han, Yi-Chen
Dong, Wei-hua
Shen, Li-juan
Huang, Zhou-Qing
Xie, Qiang-Li
author_sort Mao, Zhi-Jie
collection PubMed
description OBJECTIVES: The aim of this study is to assess the influence of cardiopulmonary coupling (CPC) based on RCMSE on the prediction of complications and death in patients with acute type A aortic dissection (ATAAD). BACKGROUND: The cardiopulmonary system may be nonlinearly regulated, and its coupling relationship with postoperative risk stratification in ATAAD patients has not been studied. METHODS: This study was a single-center, prospective cohort study (ChiCTR1800018319). We enrolled 39 patients with ATAAD. The outcomes were in-hospital complications and all-cause readmission or death at 2 years. RESULTS: Of the 39 participants, 16 (41.0%) developed complications in the hospital, and 15 (38.5%) died or were readmitted to the hospital during the two-year follow-up. When CPC-RCMSE was used to predict in-hospital complications in ATAAD patients, the AUC was 0.853 (p < 0.001). When CPC-RCMSE was used to predict all-cause readmission or death at 2 years, the AUC was 0.731 (p < 0.05). After adjusting for age, sex, ventilator support (days), and special care time (days), CPC-RCMSE remained an independent predictor of in-hospital complications in patients with ATAAD [adjusted OR: 0.8 (95% CI, 0.68–0.94)]. CONCLUSION: CPC-RCMSE was an independent predictor of in-hospital complications and all-cause readmission or death in patients with ATAAD.
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spelling pubmed-100311252023-03-23 Use of the cardiopulmonary coupling index based on refined composite multiscale entropy for prognostication of acute type A aortic dissection Mao, Zhi-Jie Wen, Wei-Wei Han, Yi-Chen Dong, Wei-hua Shen, Li-juan Huang, Zhou-Qing Xie, Qiang-Li Front Cardiovasc Med Cardiovascular Medicine OBJECTIVES: The aim of this study is to assess the influence of cardiopulmonary coupling (CPC) based on RCMSE on the prediction of complications and death in patients with acute type A aortic dissection (ATAAD). BACKGROUND: The cardiopulmonary system may be nonlinearly regulated, and its coupling relationship with postoperative risk stratification in ATAAD patients has not been studied. METHODS: This study was a single-center, prospective cohort study (ChiCTR1800018319). We enrolled 39 patients with ATAAD. The outcomes were in-hospital complications and all-cause readmission or death at 2 years. RESULTS: Of the 39 participants, 16 (41.0%) developed complications in the hospital, and 15 (38.5%) died or were readmitted to the hospital during the two-year follow-up. When CPC-RCMSE was used to predict in-hospital complications in ATAAD patients, the AUC was 0.853 (p < 0.001). When CPC-RCMSE was used to predict all-cause readmission or death at 2 years, the AUC was 0.731 (p < 0.05). After adjusting for age, sex, ventilator support (days), and special care time (days), CPC-RCMSE remained an independent predictor of in-hospital complications in patients with ATAAD [adjusted OR: 0.8 (95% CI, 0.68–0.94)]. CONCLUSION: CPC-RCMSE was an independent predictor of in-hospital complications and all-cause readmission or death in patients with ATAAD. Frontiers Media S.A. 2023-03-08 /pmc/articles/PMC10031125/ /pubmed/36970336 http://dx.doi.org/10.3389/fcvm.2023.1126889 Text en © 2023 Mao, Wen, Han, Dong, Shen, Huang and Xie. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Mao, Zhi-Jie
Wen, Wei-Wei
Han, Yi-Chen
Dong, Wei-hua
Shen, Li-juan
Huang, Zhou-Qing
Xie, Qiang-Li
Use of the cardiopulmonary coupling index based on refined composite multiscale entropy for prognostication of acute type A aortic dissection
title Use of the cardiopulmonary coupling index based on refined composite multiscale entropy for prognostication of acute type A aortic dissection
title_full Use of the cardiopulmonary coupling index based on refined composite multiscale entropy for prognostication of acute type A aortic dissection
title_fullStr Use of the cardiopulmonary coupling index based on refined composite multiscale entropy for prognostication of acute type A aortic dissection
title_full_unstemmed Use of the cardiopulmonary coupling index based on refined composite multiscale entropy for prognostication of acute type A aortic dissection
title_short Use of the cardiopulmonary coupling index based on refined composite multiscale entropy for prognostication of acute type A aortic dissection
title_sort use of the cardiopulmonary coupling index based on refined composite multiscale entropy for prognostication of acute type a aortic dissection
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10031125/
https://www.ncbi.nlm.nih.gov/pubmed/36970336
http://dx.doi.org/10.3389/fcvm.2023.1126889
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