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Prognostic Impact of Blood Pressure Change Patterns on Patients With Aortic Dissection After Admission

OBJECTIVES: Hypertension is a predominant risk factor for aortic dissection (AD), and blood pressure (BP) control plays a vital role in the management of AD. However, the correlation between BP change and the prognosis for AD remains unclear. This study aims to demonstrate the impact of BP change pa...

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Autores principales: Wu, Zhaoyu, Li, Yixuan, Qiu, Peng, Liu, Haichun, Liu, Kai, Li, Weimin, Wang, Ruihua, Chen, Tao, Lu, Xinwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204146/
https://www.ncbi.nlm.nih.gov/pubmed/35722130
http://dx.doi.org/10.3389/fcvm.2022.832770
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author Wu, Zhaoyu
Li, Yixuan
Qiu, Peng
Liu, Haichun
Liu, Kai
Li, Weimin
Wang, Ruihua
Chen, Tao
Lu, Xinwu
author_facet Wu, Zhaoyu
Li, Yixuan
Qiu, Peng
Liu, Haichun
Liu, Kai
Li, Weimin
Wang, Ruihua
Chen, Tao
Lu, Xinwu
author_sort Wu, Zhaoyu
collection PubMed
description OBJECTIVES: Hypertension is a predominant risk factor for aortic dissection (AD), and blood pressure (BP) control plays a vital role in the management of AD. However, the correlation between BP change and the prognosis for AD remains unclear. This study aims to demonstrate the impact of BP change patterns on AD prognosis. METHODS: This retrospective study included AD patients at two institutions (Shanghai Ninth People's Hospital Affiliated with Shanghai Jiao Tong University School of Medicine and the Vascular Department of the First Affiliated Hospital of Anhui Medical University) between 2004 and 2018. The systolic BP (SBP) change patterns of these patients were analyzed by functional data analysis (FDA). The relationship between BP change patterns and the risk of adverse events (AEs) was assessed using survival analysis. RESULTS: A total of 458 patients with AD were eligible for analysis. The logistic regression analysis indicated that compared with that in patients with low SBP variation (SBPV), the incidence of AEs in patients with high SBPV was significantly higher (35.84 vs. 20.35%, OR 2.19, P < 0.001). The patients were divided into four categories (accelerating rise, accelerating drop, decelerating rise, and decelerating drop) based on their SBP patterns after FDA fitting. The results of Kaplan–Meier analysis showed that at the 15- and 20-min time points, the incidence of AEs in the decelerating-drop group was significantly lower than that in the accelerating-rise group (OR 0.19, P = 0.031 and OR 0.23, P = 0.050). However, at the 25- and 30-min time points, the difference between these four groups was not significant (OR 0.26, P = 0.08 and OR 0.29, P = 0.10). CONCLUSIONS: This study classified AD patients into four groups according to the SBP change patterns the first 30 min following admission, of which those with accelerating rises in SBP are at the highest risk of AEs, while those with decelerating drops have the best prognosis in the first 24 h after admission. Clinical practitioners may benefit from analyzing patterns of in-hospital SBP.
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spelling pubmed-92041462022-06-18 Prognostic Impact of Blood Pressure Change Patterns on Patients With Aortic Dissection After Admission Wu, Zhaoyu Li, Yixuan Qiu, Peng Liu, Haichun Liu, Kai Li, Weimin Wang, Ruihua Chen, Tao Lu, Xinwu Front Cardiovasc Med Cardiovascular Medicine OBJECTIVES: Hypertension is a predominant risk factor for aortic dissection (AD), and blood pressure (BP) control plays a vital role in the management of AD. However, the correlation between BP change and the prognosis for AD remains unclear. This study aims to demonstrate the impact of BP change patterns on AD prognosis. METHODS: This retrospective study included AD patients at two institutions (Shanghai Ninth People's Hospital Affiliated with Shanghai Jiao Tong University School of Medicine and the Vascular Department of the First Affiliated Hospital of Anhui Medical University) between 2004 and 2018. The systolic BP (SBP) change patterns of these patients were analyzed by functional data analysis (FDA). The relationship between BP change patterns and the risk of adverse events (AEs) was assessed using survival analysis. RESULTS: A total of 458 patients with AD were eligible for analysis. The logistic regression analysis indicated that compared with that in patients with low SBP variation (SBPV), the incidence of AEs in patients with high SBPV was significantly higher (35.84 vs. 20.35%, OR 2.19, P < 0.001). The patients were divided into four categories (accelerating rise, accelerating drop, decelerating rise, and decelerating drop) based on their SBP patterns after FDA fitting. The results of Kaplan–Meier analysis showed that at the 15- and 20-min time points, the incidence of AEs in the decelerating-drop group was significantly lower than that in the accelerating-rise group (OR 0.19, P = 0.031 and OR 0.23, P = 0.050). However, at the 25- and 30-min time points, the difference between these four groups was not significant (OR 0.26, P = 0.08 and OR 0.29, P = 0.10). CONCLUSIONS: This study classified AD patients into four groups according to the SBP change patterns the first 30 min following admission, of which those with accelerating rises in SBP are at the highest risk of AEs, while those with decelerating drops have the best prognosis in the first 24 h after admission. Clinical practitioners may benefit from analyzing patterns of in-hospital SBP. Frontiers Media S.A. 2022-06-03 /pmc/articles/PMC9204146/ /pubmed/35722130 http://dx.doi.org/10.3389/fcvm.2022.832770 Text en Copyright © 2022 Wu, Li, Qiu, Liu, Liu, Li, Wang, Chen and Lu. 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). 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
Wu, Zhaoyu
Li, Yixuan
Qiu, Peng
Liu, Haichun
Liu, Kai
Li, Weimin
Wang, Ruihua
Chen, Tao
Lu, Xinwu
Prognostic Impact of Blood Pressure Change Patterns on Patients With Aortic Dissection After Admission
title Prognostic Impact of Blood Pressure Change Patterns on Patients With Aortic Dissection After Admission
title_full Prognostic Impact of Blood Pressure Change Patterns on Patients With Aortic Dissection After Admission
title_fullStr Prognostic Impact of Blood Pressure Change Patterns on Patients With Aortic Dissection After Admission
title_full_unstemmed Prognostic Impact of Blood Pressure Change Patterns on Patients With Aortic Dissection After Admission
title_short Prognostic Impact of Blood Pressure Change Patterns on Patients With Aortic Dissection After Admission
title_sort prognostic impact of blood pressure change patterns on patients with aortic dissection after admission
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204146/
https://www.ncbi.nlm.nih.gov/pubmed/35722130
http://dx.doi.org/10.3389/fcvm.2022.832770
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