Profile of adults with congenital heart disease having a good, moderate, or poor quality of life: A cluster analytic study

Profile of adults with congenital heart disease having a good, moderate, or poor quality of life: A cluster analytic study
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DOI:
10.1016/j.ejcnurse.2008.11.001
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发表时间:
2009-06-01
影响因子:
2.9
通讯作者:
Budts, Werner
Budts, Werner
中科院分区:
医学2区
文献类型:
--
作者:
Moons, Philip;Van Deyk, Kristien;Budts, Werner

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目的:本研究的目的是评估的档案成人先天性心脏病患者报告一个良好的,中度的,或较差的生活quality of life.Methods:我们进行了一个大规模的生活质量研究,包括627例患者的数据进行了二次分析。从病历中检索人口统计学和临床变量,从患者访谈中检索功能状态。使用线性焦虑量表测量总体生活质量。使用K-means聚类分析,我们将受试者分为3个集群的解决方案:好,中等,或较差的生活quality.Results:490例(78.1%)聚类为良好的生活质量类别,126例(20.1%)聚类为中等生活质量类别,11例(1.8%)聚类为较差的生活质量类别。贫困的生活质量与较低的教育水平,失业或残疾,相关的综合征,不稳定的心脏病,和较差的功能status.Conclusion:超过四分之三的患者有一个良好的生活质量,而只有一小部分有一个穷人的生活质量。与生活质量差相关的特定人口统计学和临床特征可帮助识别存在生活质量差风险的患者。(C)2008年欧洲心脏病学会。Elsevier B. V.出版,保留所有权利。
Aims: The purpose of the study was to assess the profile of adult patients with congenital heart disease who reported a good, moderate, or poor quality of life.Methods: We conducted a secondary analysis of data from a large-scale quality-of-life study that included 627 patients. Demographic and clinical variables were retrieved from the medical records and functional status from patient interviews. Overall quality of life was measured using a Linear Analogue Scale. Using K-means cluster analysis, we categorized subjects into a 3-cluster solution: good, moderate, or poor quality of life.Results: Four hundred ninety patients (78.1%) clustered into the good quality-of-life category; 126 patients (20.1%) clustered into the moderate quality-of-life category; and 11 patients (1.8%) clustered into the poor quality-of-life category. Poorer quality of life was associated with lower educational level, unemployment or disability, associated syndromes, instability of the heart disease, and a poorer functional status.Conclusion: Over three-quarters of the patients had a good quality of life, whereas only a small proportion had a poor quality of life. Specific demographic and clinical characteristics associated with a poor quality of life could assists in identifying patients at risk for developing a poor quality of life. (C) 2008 European Society of Cardiology. Published by Elsevier B.V. All rights reserved.