期刊
INTERNATIONAL JOURNAL OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE
卷 14, 期 -, 页码 2825-2833出版社
DOVE MEDICAL PRESS LTD
DOI: 10.2147/COPD.S223869
关键词
COPD; decline in FEV1; inflammatory biomarkers; EBC; microRNA-23a
资金
- National Key Research and Development Plan [2017YFC1309500]
- Ministry of Science and Technology of the People's Republic of China
Background: In China, the high prevalence and mortality rate of Chronic Obstructive Pulmonary Disease (COPD) and the poor intervention effect makes it into a heavy social burden. The main reason is that the current diagnosis of COPD mainly based on the static lung function, which is difficult for early intervention. Through matching a predictive model for high-risk groups of COPD that rewards FEV1 rapid decline as the core, we will establish the early warning model and prove its validity and socio-economic value. Methods: This is a multi-center, prospective, cohort study. A total of 10,000 people aged 40 similar to 75 without lung disease will be recruited and followed for 3 years. Some questionnaires such as St George's Respiratory Questionnaire (SGRQ), income class, educational level, comorbidity, smoking habit, and biomass smoke exposure history will be collected. The baseline level of Interleukin 6 (IL-6), high-sensitivity C-reactive Protein (hs-CRP), microRNAs-23a (miR-23a) in peripheral blood and pH value in exhaled breath condensate (EBC) will be measured, lung spirometry will be tested in the first, second, and fourth years. Primary outcome is the incidence of COPD, multivariate regression analysis will be used to establish the predictive model for COPD in China. Discussion: With the rapid decline of lung function as the core and the baseline inflammatory biomarkers in peripheral blood and pH of the exhaled breath condensate as affecting factors, a predictive model to achieve early detection of high-risk COPD groups will be established and promoted.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据