Combined blood pressure and heart rate trajectories are associated with prognosis in critically ill patients with acute aortic dissection: A group-based multi-trajectory analysis

被引:2
|
作者
Shen, Xuejun [1 ,2 ]
Li, Jufang [1 ,2 ]
Yan, Hongle [1 ,2 ]
Zhou, Shuyi [1 ,2 ]
Yang, Shengli [1 ,3 ]
Li, Weiping [1 ,3 ]
机构
[1] Shantou Univ, Affiliated Hosp 1, Med Coll, Clin Res Ctr, Shantou 515041, Peoples R China
[2] Shantou Univ, Med Coll, Shantou 515041, Peoples R China
[3] 57 Changping Rd, Shantou 515041, Guangdong, Peoples R China
关键词
Acute aortic dissection; Blood pressure; Heart rate; Group-based multi-trajectory modeling; Trajectory; ICU; 2010 ACCF/AHA/AATS/ACR/ASA/SCA/SCAI/SIR/STS/SVM GUIDELINES; INTERNATIONAL REGISTRY; MANAGEMENT; DIAGNOSIS; OUTCOMES; EVENTS;
D O I
10.1016/j.heliyon.2024.e29934
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Managing systolic blood pressure (SBP), diastolic blood pressure (DBP), and heart rate (HR) is pivotal in acute aortic dissection (AAD) care. However, no prior studies have jointly analyzed the trajectories of these parameters. This research aimed to characterize their joint longitudinal trajectories and investigate the influence on AAD prognosis. Methods: We included AAD patients from the Medical Information Mart for Intensive Care (MIMIC)-IV database. Using group-based multi-trajectory modeling (GBMTM), we identified combined trajectories of SBP, DBP, and HR within the initial 24 h of intensive care unit (ICU) admission. Cox proportional hazard regression, log-binomial regression, and logistic regression were employed to assess the association between trajectory groups and mortality outcomes. Results: Data from 337 patients were analyzed. GBMTM identified five combined trajectory groups. Group 1 featured rapidly declining SBP and DBP with high pulse pressure and low HR; Group 2 showed high to moderate SBP with slight rebound and persistently low HR; Group 3 displayed persistently moderate BP and HR; Group 4 was characterized by moderate blood pressure with persistently high HR; and Group 5 had high to moderate SBP with slight rebound, high but gradually declining DBP, and slightly high HR. Group 3 demonstrated a lower risk of mortality, with an adjusted hazard ratio of 0.32 (95 % CI, 0.14 -0.74), and the adjusted relative risks for in-hospital, 30-day, and 1-year mortalities were 0.37 (95 % CI, 0.15 -0.87), 0.25 (95 % CI, 0.10 -0.62), and 0.41 (95 % CI, 0.22 -0.79), respectively. The time-independent C-index curve demonstrated that the multi-trajectory groups had higher C-index values than any univariate trajectory groups or admission values of SBP, DBP, and HR. Conclusions: Utilization of GBMTM can yield data-driven insights to identify distinct subphenotypes in AAD patients. The combined trajectories of SBP, DBP, and HR within 24 h of ICU admission significantly influenced the mortality rate.
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页数:11
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