Turning subtypes into disease axes to improve prediction of COPD progression.
Turning subtypes into disease axes to improve prediction of COPD progression.
复制标题
将亚型转化为疾病轴以改善对慢性阻塞性肺病进展的预测。
DOI：
10.1136/thoraxjnl-2018-213005
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发表时间：
2019
期刊：
影响因子：
10
通讯作者：
Castaldi,Peter
中科院分区：
文献类型：
--
作者：
Chen,Junxiang;Cho,Michael;Silverman,EdwinK;Hokanson,JohnE;Kinney,GregL;Crapo,JamesD;Rennard,Stephen;Dy,Jennifer;Castaldi,Peter
慢性阻塞性肺疾病（COPD）是一个涵盖多种疾病过程的总括定义。COPD异质性被描述为个体的不同亚组（亚型）或COPD变异性的连续测量（疾病轴）。关于亚型或疾病轴是否是首选，几乎没有共识，疾病轴和亚型预测COPD进展的相对价值尚不清楚。使用倾向评分方法从成对的亚型中学习疾病轴，我们证明这些疾病轴预测前瞻性用力呼气量在1秒下降和肺气肿进展比亚型对，他们来自更准确。
Chronic obstructive pulmonary disease (COPD) is an umbrella definition encompassing multiple disease processes. COPD heterogeneity has been described as distinct subgroups of individuals (subtypes) or as continuous measures of COPD variability (disease axes). There is little consensus on whether subtypes or disease axes are preferred, and the relative value of disease axes and subtypes for predicting COPD progression is unknown. Using a propensity score approach to learn disease axes from pairs of subtypes, we demonstrate that these disease axes predict prospective forced expiratory volume in 1 s decline and emphysema progression more accurately than the subtype pairs from which they were derived.