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Clinical Characteristics and Outcomes of the Phenotypes of COPD-Bronchiectasis Association

支气管扩张 慢性阻塞性肺病 联想(心理学) 表型 医学 内科学 遗传学 心理学 生物 基因 心理治疗师
作者
Cui‐xia Pan,Zhen‐feng He,Sheng-Zhu Lin,Jun-qing Yue,Zhaoming Chen,Wei‐jie Guan
出处
期刊:Archivos De Bronconeumologia [Elsevier BV]
卷期号:60 (6): 356-363 被引量:1
标识
DOI:10.1016/j.arbres.2024.04.003
摘要

Introduction: Although COPD may frequently co-exist with bronchiectasis [COPD-bronchiectasis associated (CBA)], little is known regarding the clinical heterogeneity. We aimed to identify the phenotypes and compare the clinical characteristics and prognosis of CBA. Methods: We conducted a retrospective cohort study involving 2,928 bronchiectasis patients, 5158 COPD patients, and 1,219 patients with CBA hospitalized between July 2017 and December 2020. We phenotyped CBA with a two-step clustering approach and validated in an independent retrospective cohort with decision-tree algorithms. Results: Compared with patients with COPD or bronchiectasis alone, patients with CBA had significantly longer disease duration, greater lung function impairment, and increased use of intravenous antibiotics during hospitalization. We identified five clusters of CBA. Cluster 1 (N=120, CBA-MS) had predominantly moderate-severe bronchiectasis, Cluster 2 (N=108, CBA-FH) was characterized by frequent hospitalization within the previous year, Cluster 3 (N=163, CBA-BI) had bacterial infection, Cluster 4 (N=143, CBA-NB) had infrequent hospitalization but no bacterial infection, and Cluster 5 (N=113, CBA-NHB) had no hospitalization or bacterial infection in the past year. The decision-tree model predicted the cluster assignment in the validation cohort with 91.8% accuracy. CBA-MS, CBA-BI, and CBA-FH exhibited higher risks of hospital re-admission and intensive care unit admission compared with CBA-NHB during follow-up (all P<0.05). Of the five clusters, CBA-FH conferred the worst clinical prognosis. Conclusion: Bronchiectasis severity, recent hospitalizations and sputum culture findings are three defining variables accounting for most heterogeneity of CBA, the characterization of which will help refine personalized clinical management.
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