Development and validation of nomogram including high altitude as a risk factor for COPD: A cross-sectional study based on Gansu population
BackgroundChronic Obstructive Pulmonary Disease (COPD) is a common and harmful disease that requires an effective tool to early screen high-risk individuals. Gansu has unique environments and customs, leading to the different prevalence and etiology of COPD from other regions. The association betwee...
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Frontiers Media S.A.
2023-03-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1127566/full |
| _version_ | 1811161219000696832 |
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| author | Ao Lin Chun Mao Boqi Rao Hongjun Zhao Yunchao Wang Guokang Yang Haisheng Lei Chenli Xie Dongsheng Huang Yibin Deng Xuhui Zhang Xinhua Wang Jiachun Lu |
| author_facet | Ao Lin Chun Mao Boqi Rao Hongjun Zhao Yunchao Wang Guokang Yang Haisheng Lei Chenli Xie Dongsheng Huang Yibin Deng Xuhui Zhang Xinhua Wang Jiachun Lu |
| author_sort | Ao Lin |
| collection | DOAJ |
| description | BackgroundChronic Obstructive Pulmonary Disease (COPD) is a common and harmful disease that requires an effective tool to early screen high-risk individuals. Gansu has unique environments and customs, leading to the different prevalence and etiology of COPD from other regions. The association between altitude and COPD once attracted epidemiologists' attention. However, the prevalence in Gansu and the role of altitude are still unclarified.MethodsIn Gansu, a multistage stratified cluster sampling procedure was utilized to select a representative sample aged 40 years or older. The questionnaire and spirometry examination were implemented to collect participants' information. The diagnosis and assessment of COPD were identified by the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criterion, while post-bronchodilator FEV1/FVC < LLN was for sensitivity analysis. Furthermore, the effect of high altitude on COPD was evaluated by the logistic regression model after propensity score matching (PSM). Finally, the participants were randomly divided into training and validation sets. The training set was used to screen the relative factors and construct a nomogram which was further assessed by the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) in the two sets.ResultsThere were 2,486 eligible participants in the final analysis, of which 1,584 lived in low altitudes and 902 lived in high altitudes. Based on the GOLD criterion, the crude and standardized prevalences in Gansu were 20.4% (18.7–22.0) and 19.7% (17.9–21.6). After PSM, the logistic regression model indicated that high altitude increased COPD risk [PSM OR: 1.516 (1.162–1.978)]. Altitude, age, sex, history of tuberculosis, coal as fuel, and smoking status were reserved for developing a nomogram that demonstrated excellent discrimination, calibration, and clinical benefit in the two sets.ConclusionsCOPD has become a serious public health problem in Gansu. High altitude is a risk factor for COPD. The nomogram has satisfactory efficiency in screening high-risk individuals. |
| first_indexed | 2024-04-10T06:11:53Z |
| format | Article |
| id | doaj.art-840694012bf74a908abda675e0464178 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-10T06:11:53Z |
| publishDate | 2023-03-01 |
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| series | Frontiers in Public Health |
| spelling | doaj.art-840694012bf74a908abda675e04641782023-03-02T15:09:33ZengFrontiers Media S.A.Frontiers in Public Health2296-25652023-03-011110.3389/fpubh.2023.11275661127566Development and validation of nomogram including high altitude as a risk factor for COPD: A cross-sectional study based on Gansu populationAo Lin0Chun Mao1Boqi Rao2Hongjun Zhao3Yunchao Wang4Guokang Yang5Haisheng Lei6Chenli Xie7Dongsheng Huang8Yibin Deng9Xuhui Zhang10Xinhua Wang11Jiachun Lu12The State Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute of Public Health, Guangzhou Medical University, Guangzhou, ChinaThe State Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute of Public Health, Guangzhou Medical University, Guangzhou, ChinaThe State Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute of Public Health, Guangzhou Medical University, Guangzhou, ChinaDepartment of Pulmonary and Critical Care Medicine, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, ChinaInstitute of Basic Medicine, Institute of Public Health, Gansu University of Chinese Medicine, Lanzhou, ChinaInstitute of Basic Medicine, Institute of Public Health, Gansu University of Chinese Medicine, Lanzhou, ChinaInstitute of Basic Medicine, Institute of Public Health, Gansu University of Chinese Medicine, Lanzhou, ChinaDepartment of Respiratory and Critical Care Medicine, Dongguan Binwan Central Hospital, Dongguan, ChinaDepartment of Respiratory and Critical Care Medicine, Shenzhen Longhua District Central Hospital, Shenzhen, ChinaCentre for Medical Laboratory Science, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, ChinaDepartment of Respiratory Medicine, The Affiliated Hospital of Gansu University of Chinese Medicine, Lanzhou, ChinaInstitute of Basic Medicine, Institute of Public Health, Gansu University of Chinese Medicine, Lanzhou, ChinaThe State Key Lab of Respiratory Disease, The First Affiliated Hospital, Institute of Public Health, Guangzhou Medical University, Guangzhou, ChinaBackgroundChronic Obstructive Pulmonary Disease (COPD) is a common and harmful disease that requires an effective tool to early screen high-risk individuals. Gansu has unique environments and customs, leading to the different prevalence and etiology of COPD from other regions. The association between altitude and COPD once attracted epidemiologists' attention. However, the prevalence in Gansu and the role of altitude are still unclarified.MethodsIn Gansu, a multistage stratified cluster sampling procedure was utilized to select a representative sample aged 40 years or older. The questionnaire and spirometry examination were implemented to collect participants' information. The diagnosis and assessment of COPD were identified by the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criterion, while post-bronchodilator FEV1/FVC < LLN was for sensitivity analysis. Furthermore, the effect of high altitude on COPD was evaluated by the logistic regression model after propensity score matching (PSM). Finally, the participants were randomly divided into training and validation sets. The training set was used to screen the relative factors and construct a nomogram which was further assessed by the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) in the two sets.ResultsThere were 2,486 eligible participants in the final analysis, of which 1,584 lived in low altitudes and 902 lived in high altitudes. Based on the GOLD criterion, the crude and standardized prevalences in Gansu were 20.4% (18.7–22.0) and 19.7% (17.9–21.6). After PSM, the logistic regression model indicated that high altitude increased COPD risk [PSM OR: 1.516 (1.162–1.978)]. Altitude, age, sex, history of tuberculosis, coal as fuel, and smoking status were reserved for developing a nomogram that demonstrated excellent discrimination, calibration, and clinical benefit in the two sets.ConclusionsCOPD has become a serious public health problem in Gansu. High altitude is a risk factor for COPD. The nomogram has satisfactory efficiency in screening high-risk individuals.https://www.frontiersin.org/articles/10.3389/fpubh.2023.1127566/fullCOPDaltitudeprevalencerisk factornomogram |
| spellingShingle | Ao Lin Chun Mao Boqi Rao Hongjun Zhao Yunchao Wang Guokang Yang Haisheng Lei Chenli Xie Dongsheng Huang Yibin Deng Xuhui Zhang Xinhua Wang Jiachun Lu Development and validation of nomogram including high altitude as a risk factor for COPD: A cross-sectional study based on Gansu population Frontiers in Public Health COPD altitude prevalence risk factor nomogram |
| title | Development and validation of nomogram including high altitude as a risk factor for COPD: A cross-sectional study based on Gansu population |
| title_full | Development and validation of nomogram including high altitude as a risk factor for COPD: A cross-sectional study based on Gansu population |
| title_fullStr | Development and validation of nomogram including high altitude as a risk factor for COPD: A cross-sectional study based on Gansu population |
| title_full_unstemmed | Development and validation of nomogram including high altitude as a risk factor for COPD: A cross-sectional study based on Gansu population |
| title_short | Development and validation of nomogram including high altitude as a risk factor for COPD: A cross-sectional study based on Gansu population |
| title_sort | development and validation of nomogram including high altitude as a risk factor for copd a cross sectional study based on gansu population |
| topic | COPD altitude prevalence risk factor nomogram |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2023.1127566/full |
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