Development of a decision tree to assess the severity and prognosis of stable COPD
Development of a decision tree to assess the severity and prognosis of stable COPD
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DOI：
10.1183/09031936.00189010
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发表时间：
2011-12-01
影响因子：
24.3
通讯作者：
Capelastegui, A.
中科院分区：
文献类型：
--
作者：
Esteban, C.;Arostegui, I.;Capelastegui, A.
本研究的目的是开发和验证一种新方法：基于易于获取的测量方法的分类和回归树（CART）来预测稳定型慢性阻塞性肺疾病（COPD）患者的死亡率。这是一项由两个独立的前瞻性队列组成的前瞻性研究：一个有611名招募患者的衍生队列和一个有348名患者的验证队列，全部随访5年。CART分析用于预测5年死亡率风险，使用衍生队列中的以下协变量：年龄，预测1秒内用力呼气量（FEV1）的百分比，呼吸困难，身体活动，一般健康状况和过去2年内因COPD恶化而住院的次数。年龄(>= 75岁或75岁，呼吸困难和FEV1水平较高
The aim of this study was to develop and validate a new method: a classification and regression tree (CART) based on easily accessible measures to predict mortality in patients with stable chronic obstructive pulmonary disease (COPD).This was a prospective study of two independent prospective cohorts: a derivation cohort with 611 recruited patients and a validation cohort with 348 patients, all followed for 5 yrs. CART analysis was used to predict 5-yr mortality risk using the following covariates from the derivation cohort: age, % predicted forced expiratory volume in 1 s (FEV1), dyspnoea, physical activity, general health and number of hospital admissions for COPD exacerbations in the previous 2 yrs.Age (>= 75 or 75 yrs of age with higher levels of dyspnoea and FEV1