医学
星团(航天器)
机械通风
哮喘
重症监护室
恶化
内科学
共病
逻辑回归
相对风险
急诊医学
置信区间
计算机科学
程序设计语言
作者
Xin Zhang,Li Zhang,Gang Wang,Min Feng,Rui Liang,Vanessa M. McDonald,Hong Ping Zhang,Yu He,Zong An Liang,Lei Wang,Guy B. Marks,Weimin Li,Gang Wang,Peter G. Gibson
标识
DOI:10.1016/j.jaip.2020.09.031
摘要
Background
Hospitalization due to acute asthma exacerbation (AE) is a highly detrimental situation requiring critical management to prevent further deterioration, including mechanical ventilation, intensive care unit (ICU) admission, and death. However, patients hospitalized for AEs are highly heterogeneous and remain largely unexplored. Objective
To identify clinical and inflammatory phenotypes of AE requiring hospitalization associated with in-hospital outcomes. Methods
We performed a hierarchical cluster analysis of 825 consecutively recruited patients hospitalized for AEs. Logistic regressions were conducted to quantify the independent associations of the identified phenotypes with in-hospital outcomes. Decision tree analysis was developed to predict cluster assignment. Results
We identified 3 clusters of patients, which had significantly different characteristics associated with in-hospital adverse outcomes. Cluster 1 (n = 526, 63.8%) was a late-onset phenotype, cluster 2 (n = 97, 11.8%) was an early-onset phenotype, and cluster 3 (n = 202, 24.5%) was a phenotype with fewer eosinophils and more comorbidities. Clusters 2 and 3 had an elevated risk of death (relative ratio [RRadj], 18.10 and 19.17, respectively) and mechanical ventilation (RRadj, 2.56 and 5.71, respectively) than did cluster 1. Individuals in cluster 3 had an extended length of hospital stay (11 days), increased hospitalization direct costs (13,481.57 Chinese Yuan), and a higher risk of ICU admission (RRadj, 2.14) than individuals in clusters 1 and 2. The decision tree assigned 90.8% of the participants correctly. Conclusions
We identified 3 phenotypes with differential clinical and inflammatory characteristics associated with in-hospital adverse outcomes. These new phenotypes might have important and clinically relevant implications for the management of patients hospitalized for AEs.
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