Collaborative Innovation Center of Judicial Civilization, Key Laboratory of Evidence Science, China University of Political Science and Law, Ministry of Education, 25 Xitucheng Road, Beijing, 100040, China.
Beijing Jiaotong University, Beijing, China.
Health Qual Life Outcomes. 2018 Jul 11;16(1):139. doi: 10.1186/s12955-018-0957-0.
This study aimed to examine the associations among the International Classification of Functioning, Disability, and Health (ICF) core sets relevant to chronic ischemic heart disease (CIHD) using the least absolute shrinkage and selection operator (LASSO) model based on the ICF core sets scale in Chinese patients.
This was a prospective study of 120 patients with CIHD selected from January 2013 to June 2014 at the Fada Institute of Forensic Medicine & Science (Beijing, China). Functioning was qualified using the ICF core sets checklist for CIHD (Chinese version). The variables of core set categories of the ICF assessment scale for CIHD were entered into the LASSO model for mining dependencies among those variables. Graphical modeling was applied using LASSO generalized linear models.
"Muscle endurance functions", "sensations associated with cardiovascular and respiratory functions", "blood vessel functions", and "heart functions" were the most injured in CIHD status. "Recreation and leisure" and "intimate relationships" were the most affected in CIHD status. "General social support services, systems, and policies" and "acquaintances, peers, colleagues, neighbors, and community members" were important for the outcome of functional status of the CIHD patient. "Economic self-sufficiency" and "family relationships" of the CIHD patient were not undermined in most cases.
Graphical modeling can be used to describe associations between different areas of functioning in CIHD patients. The results suggest that these associations could be used as basis to improve rehabilitation and provide a deeper understanding of functioning in Chinese CIHD patients.
本研究旨在利用基于 ICF 核心分类量表的最小绝对值收缩和选择算子（LASSO）模型，研究与慢性缺血性心脏病（CIHD）相关的 ICF 核心分类，以中国患者为研究对象。
这是一项前瞻性研究，共纳入了 2013 年 1 月至 2014 年 6 月在北京法大法庭科学技术鉴定研究所（北京，中国）就诊的 120 例 CIHD 患者。采用 ICF 核心分类用于 CIHD 的检查表对患者的功能进行评估。将 ICF 评估量表中与 CIHD 核心分类相关的变量输入 LASSO 模型，挖掘这些变量之间的依存关系。应用 LASSO 广义线性模型进行图形建模。
“肌肉耐力功能”、“心血管和呼吸系统相关感觉”、“血管功能”和“心脏功能”是 CIHD 状态下最易受损的功能。“娱乐和休闲”和“亲密关系”是 CIHD 状态下受影响最大的功能。“一般社会支持服务、系统和政策”和“熟人、同伴、同事、邻居和社区成员”对 CIHD 患者的功能状态结果很重要。在大多数情况下，CIHD 患者的“经济自给自足”和“家庭关系”并未受到损害。
图形建模可用于描述 CIHD 患者不同功能领域之间的关联。结果表明，这些关联可作为改善康复的基础，并为深入了解中国 CIHD 患者的功能提供依据。
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