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Development and validation of the EHS-COPD model to predict sex-specific risk of chronic obstructive pulmonary disease (COPD) in older Chinese adults: Hong Kong’s Elderly Health Service Cohort
BACKGROUND: No screening program is recommended for chronic obstructive pulmonary disease (COPD) in adults based on current clinical practice guidelines. Risk prediction models for COPD developed in Western settings may not be directly applicable to older Chinese adults. To evaluate the performance...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825538/ https://www.ncbi.nlm.nih.gov/pubmed/35242849 http://dx.doi.org/10.21037/atm-21-3270 |
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author | Yang, Zhao Schooling, C. Mary Lee, Siu Yin Kwok, Man Ki |
author_facet | Yang, Zhao Schooling, C. Mary Lee, Siu Yin Kwok, Man Ki |
author_sort | Yang, Zhao |
collection | PubMed |
description | BACKGROUND: No screening program is recommended for chronic obstructive pulmonary disease (COPD) in adults based on current clinical practice guidelines. Risk prediction models for COPD developed in Western settings may not be directly applicable to older Chinese adults. To evaluate the performance of an existing risk prediction model for COPD developed in a Western setting in Chinese adults and investigate whether a new risk prediction model performs better in predicting 5-year risk of COPD (EHS-COPD). METHODS: This study is based on 135,822 participants aged 65+ years from Hong Kong’s Elderly Health Service (EHS) cohort. We assessed the performance of an existing risk prediction model in the entire cohort, and in a random sub-sample of 91,133 participants, we recalibrated the existing model and derived a new model using extended Cox proportional hazards regression. Candidate risk predictors from the literature and the EHS cohort were considered for inclusion. Risk prediction performance, discrimination, and calibration of the newly derived models were assessed in the remaining 44,689 participants. RESULTS: The existing risk prediction model overestimated the 5-year risk of COPD in older Chinese adults (65+ years); after recalibration, it still overestimated the 5-year risk of COPD for both men and women. The new EHS-COPD risk prediction model, including time-varying factors (i.e., age and smoking status) and time-invariant factors (i.e., education level, public assistance, alcohol use, body mass index, physical activity, existing hypertension, recent falls, cognitive function, and self-rated health status), had an improved performance. For men, EHS-COPD explained 19.5% of COPD risk, the D statistic was 23.1, and Harrell’s C statistic was 0.93. The corresponding values for women were 8.5%, 21.1, and 0.93. CONCLUSIONS: The existing COPD risk prediction model overpredicted COPD risk in older Chinese and could not be recalibrated to predict well. A revised prediction model using time-invariant and time-varying factors provides a better tool for identifying older Chinese adults at high risk of developing COPD. |
format | Online Article Text |
id | pubmed-8825538 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-88255382022-03-02 Development and validation of the EHS-COPD model to predict sex-specific risk of chronic obstructive pulmonary disease (COPD) in older Chinese adults: Hong Kong’s Elderly Health Service Cohort Yang, Zhao Schooling, C. Mary Lee, Siu Yin Kwok, Man Ki Ann Transl Med Original Article BACKGROUND: No screening program is recommended for chronic obstructive pulmonary disease (COPD) in adults based on current clinical practice guidelines. Risk prediction models for COPD developed in Western settings may not be directly applicable to older Chinese adults. To evaluate the performance of an existing risk prediction model for COPD developed in a Western setting in Chinese adults and investigate whether a new risk prediction model performs better in predicting 5-year risk of COPD (EHS-COPD). METHODS: This study is based on 135,822 participants aged 65+ years from Hong Kong’s Elderly Health Service (EHS) cohort. We assessed the performance of an existing risk prediction model in the entire cohort, and in a random sub-sample of 91,133 participants, we recalibrated the existing model and derived a new model using extended Cox proportional hazards regression. Candidate risk predictors from the literature and the EHS cohort were considered for inclusion. Risk prediction performance, discrimination, and calibration of the newly derived models were assessed in the remaining 44,689 participants. RESULTS: The existing risk prediction model overestimated the 5-year risk of COPD in older Chinese adults (65+ years); after recalibration, it still overestimated the 5-year risk of COPD for both men and women. The new EHS-COPD risk prediction model, including time-varying factors (i.e., age and smoking status) and time-invariant factors (i.e., education level, public assistance, alcohol use, body mass index, physical activity, existing hypertension, recent falls, cognitive function, and self-rated health status), had an improved performance. For men, EHS-COPD explained 19.5% of COPD risk, the D statistic was 23.1, and Harrell’s C statistic was 0.93. The corresponding values for women were 8.5%, 21.1, and 0.93. CONCLUSIONS: The existing COPD risk prediction model overpredicted COPD risk in older Chinese and could not be recalibrated to predict well. A revised prediction model using time-invariant and time-varying factors provides a better tool for identifying older Chinese adults at high risk of developing COPD. AME Publishing Company 2022-01 /pmc/articles/PMC8825538/ /pubmed/35242849 http://dx.doi.org/10.21037/atm-21-3270 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Yang, Zhao Schooling, C. Mary Lee, Siu Yin Kwok, Man Ki Development and validation of the EHS-COPD model to predict sex-specific risk of chronic obstructive pulmonary disease (COPD) in older Chinese adults: Hong Kong’s Elderly Health Service Cohort |
title | Development and validation of the EHS-COPD model to predict sex-specific risk of chronic obstructive pulmonary disease (COPD) in older Chinese adults: Hong Kong’s Elderly Health Service Cohort |
title_full | Development and validation of the EHS-COPD model to predict sex-specific risk of chronic obstructive pulmonary disease (COPD) in older Chinese adults: Hong Kong’s Elderly Health Service Cohort |
title_fullStr | Development and validation of the EHS-COPD model to predict sex-specific risk of chronic obstructive pulmonary disease (COPD) in older Chinese adults: Hong Kong’s Elderly Health Service Cohort |
title_full_unstemmed | Development and validation of the EHS-COPD model to predict sex-specific risk of chronic obstructive pulmonary disease (COPD) in older Chinese adults: Hong Kong’s Elderly Health Service Cohort |
title_short | Development and validation of the EHS-COPD model to predict sex-specific risk of chronic obstructive pulmonary disease (COPD) in older Chinese adults: Hong Kong’s Elderly Health Service Cohort |
title_sort | development and validation of the ehs-copd model to predict sex-specific risk of chronic obstructive pulmonary disease (copd) in older chinese adults: hong kong’s elderly health service cohort |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8825538/ https://www.ncbi.nlm.nih.gov/pubmed/35242849 http://dx.doi.org/10.21037/atm-21-3270 |
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