Blood biomarkers as predictors of long-term mortality in COPD.

Blood biomarkers as predictors of long-term mortality in COPD.
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DOI:
10.1111/crj.12752
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发表时间:
2018-05
期刊:
The clinical respiratory journal
影响因子:
--
通讯作者:
Gasana J
Gasana J
中科院分区:
其他
文献类型:
--
作者:
Mendy A;Forno E;Niyonsenga T;Gasana J

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血液生物标志物很容易获得,并且可能反映慢性阻塞性肺病(COPD)的活动。确定一组血液生物标志物(C 反应蛋白 [CRP]、中性粒细胞、嗜酸性粒细胞、白蛋白和维生素 D)是否可以预测 COPD 的死亡率。我们分析了 2007 年至 2010 年国家健康和营养检查调查中 431 名慢性阻塞性肺病参与者的数据,他们的随访中位时间为 36 个月。 COPD 的定义为使用支气管扩张剂后 1 秒用力呼气量 (FEV1) 且用力肺活量比值 <0.70。进行协变量调整后的威布尔生存分析来计算与生物标志物相关的死亡风险,并使用 C 统计来评估其附加的预测价值。在随访期间,431 名参与者中有 38 人死亡。与对照组相比,CRP 高、嗜酸性粒细胞计数 <2%、低蛋白血症和维生素 D 缺乏的参与者的基线 FEV1 更差,因此死亡率更高。在调整分析中,CRP(风险比[HR]:4.45,95%CI:1.91-10.37)和中性粒细胞计数(HR:1.07,95%CI:1.03-1.11)增加以及嗜酸性粒细胞计数减少(HR:7.03,95%CI:2.05-24.01)与死亡风险增加相关。添加 CRP 和嗜酸性粒细胞和/或中性粒细胞计数显着改善了死亡率预测的基本模型,其中包括年龄、性别、种族/民族、体重指数、吸烟、贫困收入比、哮喘、糖尿病、高血压以及中风或心肌梗塞病史。高 CRP 和中性粒细胞以及低嗜酸性粒细胞预示着 COPD 预后不良。它们还为慢性阻塞性肺病死亡率的预测模型增加了重要价值。
Blood biomarkers are easily accessible and might reflect chronic obstructive pulmonary disease (COPD) activity. To determine whether a panel of blood biomarkers (C-reactive protein [CRP], neutrophils, eosinophils, albumin and vitamin D) could predict mortality in COPD. we analyzed data from 431 COPD participants to the 2007–2010 National Health and Nutrition Examination Surveys who were followed for a median time of 36 months. COPD was defined as post-bronchodilator forced expiratory volume in 1 second (FEV1) and forced vital capacity ratio <0.70. Weibull survival analysis adjusted for covariates was performed to calculate the risk of mortality associated with the biomarkers and C-statistics was used to assess their added predictive value. During follow-up, 38 of the 431 participants died. Participants with high CRP, eosinophil count <2%, hypoalbuminemia, and hypovitaminosis D had worse baseline FEV1 and subsequently higher mortality compared to controls. In adjusted analysis, increasing CRP (hazard ratio [HR]: 4.45, 95% CI: 1.91–10.37) and neutrophil count (HR: 1.07, 95% CI: 1.03–1.11) as well as decreasing eosinophil count (HR: 7.03, 95% CI: 2.05–24.01) were associated with an increased risk of mortality. The addition of CRP with eosinophil and/or neutrophil count significantly improved a base model for the prediction of mortality which included age, gender, race/ethnicity, body mass index, smoking, poverty income ratio, asthma, diabetes, hypertension, and history of stroke or myocardial infarction. high CRP and neutrophils as well as low eosinophils are predictive of poor COPD prognosis. They also add significant value to prediction models of mortality in COPD.
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