Predictive Value of Combining Inflammatory Biomarkers and Rapid Decline of FEV1 for COPD in Chinese Population: A Prospective Cohort Study

Yunxia Wang,1 Jiping Liao,1 Yijue Zhong,1 Cheng Zhang,1 Xueying Li,2 Guangfa Wang1 1Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, People’s Republic of China; 2Department of Medical Statistics, Peking University First Hospital, Beijing, Peo...

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Main Authors: Wang Y, Liao J, Zhong Y, Zhang C, Li X, Wang G
Format: Article
Language:English
Published: Dove Medical Press 2019-12-01
Series:International Journal of COPD
Subjects:
ebc
Online Access:https://www.dovepress.com/predictive-value-of-combining-inflammatory-biomarkers-and-rapid-declin-peer-reviewed-article-COPD
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spelling doaj-0652c4f736c8475481a30b5de5b588652020-11-25T01:38:40ZengDove Medical PressInternational Journal of COPD1178-20052019-12-01Volume 142825283350233Predictive Value of Combining Inflammatory Biomarkers and Rapid Decline of FEV1 for COPD in Chinese Population: A Prospective Cohort StudyWang YLiao JZhong YZhang CLi XWang GYunxia Wang,1 Jiping Liao,1 Yijue Zhong,1 Cheng Zhang,1 Xueying Li,2 Guangfa Wang1 1Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, People’s Republic of China; 2Department of Medical Statistics, Peking University First Hospital, Beijing, People’s Republic of ChinaCorrespondence: Guangfa WangDepartment of Respiratory and Critical Care Medicine, Peking University First Hospital, No.8 Xishiku Street, Xicheng District, Beijing 100034, People’s Republic of ChinaEmail wangguangfa@hotmail.comBackground: 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∼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.Trial registration: This study has been registered at www.ClinicalTrials.gov (registration identifier: NCT03532893) on 21 May 2018, https://register.clinicaltrials.gov.Keywords: COPD, decline in FEV1, inflammatory biomarkers, EBC, microRNA-23ahttps://www.dovepress.com/predictive-value-of-combining-inflammatory-biomarkers-and-rapid-declin-peer-reviewed-article-COPDcopddecline in fev1inflammatory biomarkersebcmicrorna-23a
collection DOAJ
language English
format Article
sources DOAJ
author Wang Y
Liao J
Zhong Y
Zhang C
Li X
Wang G
spellingShingle Wang Y
Liao J
Zhong Y
Zhang C
Li X
Wang G
Predictive Value of Combining Inflammatory Biomarkers and Rapid Decline of FEV1 for COPD in Chinese Population: A Prospective Cohort Study
International Journal of COPD
copd
decline in fev1
inflammatory biomarkers
ebc
microrna-23a
author_facet Wang Y
Liao J
Zhong Y
Zhang C
Li X
Wang G
author_sort Wang Y
title Predictive Value of Combining Inflammatory Biomarkers and Rapid Decline of FEV1 for COPD in Chinese Population: A Prospective Cohort Study
title_short Predictive Value of Combining Inflammatory Biomarkers and Rapid Decline of FEV1 for COPD in Chinese Population: A Prospective Cohort Study
title_full Predictive Value of Combining Inflammatory Biomarkers and Rapid Decline of FEV1 for COPD in Chinese Population: A Prospective Cohort Study
title_fullStr Predictive Value of Combining Inflammatory Biomarkers and Rapid Decline of FEV1 for COPD in Chinese Population: A Prospective Cohort Study
title_full_unstemmed Predictive Value of Combining Inflammatory Biomarkers and Rapid Decline of FEV1 for COPD in Chinese Population: A Prospective Cohort Study
title_sort predictive value of combining inflammatory biomarkers and rapid decline of fev1 for copd in chinese population: a prospective cohort study
publisher Dove Medical Press
series International Journal of COPD
issn 1178-2005
publishDate 2019-12-01
description Yunxia Wang,1 Jiping Liao,1 Yijue Zhong,1 Cheng Zhang,1 Xueying Li,2 Guangfa Wang1 1Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, People’s Republic of China; 2Department of Medical Statistics, Peking University First Hospital, Beijing, People’s Republic of ChinaCorrespondence: Guangfa WangDepartment of Respiratory and Critical Care Medicine, Peking University First Hospital, No.8 Xishiku Street, Xicheng District, Beijing 100034, People’s Republic of ChinaEmail wangguangfa@hotmail.comBackground: 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∼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.Trial registration: This study has been registered at www.ClinicalTrials.gov (registration identifier: NCT03532893) on 21 May 2018, https://register.clinicaltrials.gov.Keywords: COPD, decline in FEV1, inflammatory biomarkers, EBC, microRNA-23a
topic copd
decline in fev1
inflammatory biomarkers
ebc
microrna-23a
url https://www.dovepress.com/predictive-value-of-combining-inflammatory-biomarkers-and-rapid-declin-peer-reviewed-article-COPD
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