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肺功能水平和下降的综合影响增加了发病和死亡风险。

Combined effect of lung function level and decline increases morbidity and mortality risks.

机构信息

Division of Respiratory Disease Studies, Surveillance Branch, National Institute for Occupational Safety and Health, 1095 Willowdale Road, Morgantown, WV 26505, USA.

出版信息

Eur J Epidemiol. 2012 Dec;27(12):933-43. doi: 10.1007/s10654-012-9750-2. Epub 2012 Dec 14.

Abstract

Lung function level and decline are each predictive of morbidity and mortality. Evaluation of the combined effect of these measurements may help further identify high-risk groups. Using Copenhagen City Heart Study longitudinal spirometry data (n = 10,457), 16-21 year risks of chronic obstructive pulmonary disease (COPD) morbidity, COPD or coronary heart disease mortality, and all-cause mortality were estimated from combined effects of level and decline in forced expiratory volume in one second (FEV(1)). Risks were evaluated using Cox proportional hazards models for individuals grouped by combinations of baseline predicted FEV(1) and quartiles of slope. Hazard ratios (HR) and 95 % confidence intervals (CI) were estimated using stratified analysis by gender, smoking status, and baseline age (≤45 and >45). For COPD morbidity, quartiles of increasing FEV(1) decline increased HRs (95 % CI) for individuals with FEV(1) at or above the lower limit of normal (LLN) but below 100 % predicted, reaching 5.11 (2.58-10.13) for males, 11.63 (4.75-28.46) for females, and 3.09 (0.88-10.86) for never smokers in the quartile of steepest decline. Significant increasing trends were also observed for mortality and in individuals with a baseline age ≤45. Groups with 'normal' lung function (FEV(1) at or above the LLN) but excessive declines (fourth quartile of FEV(1) slope) had significantly increased mortality risks, including never smokers and individuals with a baseline age ≤45.

摘要

肺功能水平和下降均与发病率和死亡率相关。评估这些测量指标的综合影响可能有助于进一步确定高危人群。利用哥本哈根城市心脏研究的纵向肺功能测定数据(n = 10457),通过第一秒用力呼气量(FEV1)水平和下降的综合效应,估计了 16-21 岁慢性阻塞性肺疾病(COPD)发病风险、COPD 或冠心病死亡风险以及全因死亡率。采用 Cox 比例风险模型,根据基线预测 FEV1 和斜率四分位的组合对个体进行分组,评估了风险。使用分层分析,按性别、吸烟状况和基线年龄(≤45 岁和>45 岁)对危险比(HR)和 95 %置信区间(CI)进行了估计。对于 COPD 发病风险,FEV1 处于或低于正常下限(LLN)但低于 100 %预计值的个体中,FEV1 下降幅度较大的四分位数增加了 HR(95 % CI),男性达到 5.11(2.58-10.13),女性达到 11.63(4.75-28.46),从不吸烟者达到 3.09(0.88-10.86)。在斜率下降最陡的四分位中,也观察到死亡率和基线年龄≤45 岁的个体中存在显著的递增趋势。基线年龄≤45 岁的个体中,“正常”肺功能(FEV1 处于或高于 LLN)但下降幅度较大(FEV1 斜率第四四分位)的个体,死亡率风险显著增加,包括从不吸烟者和基线年龄≤45 岁的个体。

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