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基于数据驱动的瑞典成年人哮喘问卷调查聚类分析。

Data-driven questionnaire-based cluster analysis of asthma in Swedish adults.

机构信息

Department of Medical Sciences: Environmental and Occupational Medicine, Uppsala University, Uppsala, Sweden.

Department of Medical Sciences: Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.

出版信息

NPJ Prim Care Respir Med. 2020 Apr 6;30(1):14. doi: 10.1038/s41533-020-0168-0.

DOI:10.1038/s41533-020-0168-0
PMID:32249767
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7136224/
Abstract

The aim of this study was to identify asthma phenotypes through cluster analysis. Cluster analysis was performed using self-reported characteristics from a cohort of 1291 Swedish asthma patients. Disease burden was measured using the Asthma Control Test (ACT), the mini Asthma Quality of Life Questionnaire (mini-AQLQ), exacerbation frequency and asthma severity. Validation was performed in 748 individuals from the same geographical region. Three clusters; early onset predominantly female, adult onset predominantly female and adult onset predominantly male, were identified. Early onset predominantly female asthma had a higher burden of disease, the highest exacerbation frequency and use of inhaled corticosteroids. Adult onset predominantly male asthma had the highest mean score of ACT and mini-AQLQ, the lowest exacerbation frequency and higher proportion of subjects with mild asthma. These clusters, based on information from clinical questionnaire data, might be useful in primary care settings where the access to spirometry and biomarkers is limited.

摘要

本研究旨在通过聚类分析确定哮喘表型。聚类分析使用来自 1291 名瑞典哮喘患者队列的自我报告特征进行。使用哮喘控制测试(ACT)、迷你哮喘生活质量问卷(mini-AQLQ)、发作频率和哮喘严重程度来衡量疾病负担。在同一地理区域的 748 名个体中进行了验证。确定了三个聚类;早发型主要为女性、成人发病主要为女性和成人发病主要为男性。早发型主要为女性的哮喘疾病负担更高,发作频率最高,使用吸入皮质类固醇。成人发病主要为男性的哮喘的 ACT 和 mini-AQLQ 平均得分最高,发作频率最低,且轻度哮喘患者比例较高。这些基于临床问卷数据的聚类,在基层医疗环境中可能有用,因为这些环境中可能无法获得肺功能和生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8762/7136224/705f4e12907f/41533_2020_168_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8762/7136224/a56df07d12f5/41533_2020_168_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8762/7136224/b1181f4f6f65/41533_2020_168_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8762/7136224/42bc388f2164/41533_2020_168_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8762/7136224/705f4e12907f/41533_2020_168_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8762/7136224/a56df07d12f5/41533_2020_168_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8762/7136224/b1181f4f6f65/41533_2020_168_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8762/7136224/42bc388f2164/41533_2020_168_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8762/7136224/705f4e12907f/41533_2020_168_Fig4_HTML.jpg

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