Data-driven questionnaire-based cluster analysis of asthma in Swedish adults.,npj Primary Care Respiratory Medicine

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Data-driven questionnaire-based cluster analysis of asthma in Swedish adults.
npj Primary Care Respiratory Medicine ( IF 3.1 ) Pub Date : 2020-04-06 , DOI: 10.1038/s41533-020-0168-0
Marta A Kisiel ₁ , Xingwu Zhou _{2,

3,

4} , Josefin Sundh ₅ , Björn Ställberg ₆ , Karin Lisspers ₆ , Andrei Malinovschi ₃ , Hanna Sandelowsky ₇ , Scott Montgomery _{8,

9,

10} , Anna Nager ₇ , Christer Janson ₂

Affiliation

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.
Department of Medical Sciences: Clinical Physiology, Uppsala University, Uppsala, Sweden.
Department of Public Health Sciences, Karolinska Institute, Stockholm, Sweden.
Department of Respiratory Medicine, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Department of Public Health and Caring Sciences, Family Medicine and Preventive Medicine, Uppsala University, Uppsala, Sweden.
NVS, Section for Family Medicine and Primary Care, Karolinska Institute, Stockholm, Sweden.
Clinical Epidemiology and Biostatistics, School of Medical Sciences, Örebro University, Örebro, Sweden.
Clinical Epidemiology Division, Department of Medicine, Karolinska Institute, Stockholm, Sweden.
Department of Epidemiology and Public Health, University College London, London, UK.

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.

中文翻译：

基于数据驱动的瑞典成人哮喘问卷聚类分析。

本研究的目的是通过聚类分析来识别哮喘表型。使用 1291 名瑞典哮喘患者的自我报告特征进行聚类分析。使用哮喘控制测试（ACT）、迷你哮喘生活质量问卷（mini-AQLQ）、恶化频率和哮喘严重程度来测量疾病负担。对来自同一地理区域的 748 名个体进行了验证。三个集群；确定了早期发病以女性为主、成人发病以女性为主以及成人发病以男性为主。早发性哮喘主要以女性为主，其疾病负担较高，恶化频率最高，且吸入性皮质类固醇的使用也最高。以成人为主的男性哮喘患者的 ACT 和 mini-AQLQ 平均得分最高，恶化频率最低，轻度哮喘受试者比例较高。这些基于临床问卷数据信息的聚类可能在肺活量测定和生物标志物获取有限的初级保健环境中有用。

更新日期：2020-04-06

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