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Prognostic Properties of the GOLD 2023 Classification System
INTRODUCTION: Recently, the Global Initiative for Chronic Obstructive Lung Disease (GOLD) has published an update on the Global Strategy for Prevention, Diagnosis and Management of COPD, introducing a new classification of chronic obstructive pulmonary disease (COPD). Our aim was to assess the progn...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126720/ https://www.ncbi.nlm.nih.gov/pubmed/37114105 http://dx.doi.org/10.2147/COPD.S410372 |
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author | Brat, Kristian Svoboda, Michal Zatloukal, Jaromir Plutinsky, Marek Volakova, Eva Popelkova, Patrice Novotna, Barbora Dvorak, Tomas Koblizek, Vladimir |
author_facet | Brat, Kristian Svoboda, Michal Zatloukal, Jaromir Plutinsky, Marek Volakova, Eva Popelkova, Patrice Novotna, Barbora Dvorak, Tomas Koblizek, Vladimir |
author_sort | Brat, Kristian |
collection | PubMed |
description | INTRODUCTION: Recently, the Global Initiative for Chronic Obstructive Lung Disease (GOLD) has published an update on the Global Strategy for Prevention, Diagnosis and Management of COPD, introducing a new classification of chronic obstructive pulmonary disease (COPD). Our aim was to assess the prognostic value of the new GOLD classification system in comparison with the previous GOLD classification systems (GOLD stages I–IV and GOLD groups A-D) and the BODE index. METHODS: We used the data of 784 patients with COPD from the Czech Multicenter Research Database of COPD. Patient survival was analyzed with the use of Kaplan–Meier estimate and Cox model of proportional risks. ROC analysis and area under curve (AUC) were used for comparison of GOLD classifications and BODE index. The analyses were performed with the use of software R (version 4.2.0). RESULTS: We analyzed data of 782 patients with complete data on GOLD classifications. The study population comprised 72.9% of men, 89.1% current or former smokers, with a mean age of 66.6 years, a mean BMI of 27.4 and a mean FEV(1) 44.9% of predicted. Probability of 5-year survival differed by GOLD classification. Application of the 2023 GOLD classification showed increased risk of death in group B (HR 1.82, 95% CI 1.14–2.92; p = 0.013) and in group E (HR 2.48, 95% CI 1.54–3.99; p˂0.001). The ROC analysis showed that the overall prognostic value of the 2023 GOLD classification was similarly weak to previous A-D GOLD classification schemes (AUCs 0.557–0.576) and was lower compared to the GOLD 1–4 system (AUC 0.614) and even lower when compared to the BODE index (AUC 0.715). CONCLUSION: We concluded that the new GOLD classification system has poor prognostic properties and that specific prediction tools (eg, the BODE index) should be used for mortality risk assessment. |
format | Online Article Text |
id | pubmed-10126720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-101267202023-04-26 Prognostic Properties of the GOLD 2023 Classification System Brat, Kristian Svoboda, Michal Zatloukal, Jaromir Plutinsky, Marek Volakova, Eva Popelkova, Patrice Novotna, Barbora Dvorak, Tomas Koblizek, Vladimir Int J Chron Obstruct Pulmon Dis Original Research INTRODUCTION: Recently, the Global Initiative for Chronic Obstructive Lung Disease (GOLD) has published an update on the Global Strategy for Prevention, Diagnosis and Management of COPD, introducing a new classification of chronic obstructive pulmonary disease (COPD). Our aim was to assess the prognostic value of the new GOLD classification system in comparison with the previous GOLD classification systems (GOLD stages I–IV and GOLD groups A-D) and the BODE index. METHODS: We used the data of 784 patients with COPD from the Czech Multicenter Research Database of COPD. Patient survival was analyzed with the use of Kaplan–Meier estimate and Cox model of proportional risks. ROC analysis and area under curve (AUC) were used for comparison of GOLD classifications and BODE index. The analyses were performed with the use of software R (version 4.2.0). RESULTS: We analyzed data of 782 patients with complete data on GOLD classifications. The study population comprised 72.9% of men, 89.1% current or former smokers, with a mean age of 66.6 years, a mean BMI of 27.4 and a mean FEV(1) 44.9% of predicted. Probability of 5-year survival differed by GOLD classification. Application of the 2023 GOLD classification showed increased risk of death in group B (HR 1.82, 95% CI 1.14–2.92; p = 0.013) and in group E (HR 2.48, 95% CI 1.54–3.99; p˂0.001). The ROC analysis showed that the overall prognostic value of the 2023 GOLD classification was similarly weak to previous A-D GOLD classification schemes (AUCs 0.557–0.576) and was lower compared to the GOLD 1–4 system (AUC 0.614) and even lower when compared to the BODE index (AUC 0.715). CONCLUSION: We concluded that the new GOLD classification system has poor prognostic properties and that specific prediction tools (eg, the BODE index) should be used for mortality risk assessment. Dove 2023-04-20 /pmc/articles/PMC10126720/ /pubmed/37114105 http://dx.doi.org/10.2147/COPD.S410372 Text en © 2023 Brat et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Brat, Kristian Svoboda, Michal Zatloukal, Jaromir Plutinsky, Marek Volakova, Eva Popelkova, Patrice Novotna, Barbora Dvorak, Tomas Koblizek, Vladimir Prognostic Properties of the GOLD 2023 Classification System |
title | Prognostic Properties of the GOLD 2023 Classification System |
title_full | Prognostic Properties of the GOLD 2023 Classification System |
title_fullStr | Prognostic Properties of the GOLD 2023 Classification System |
title_full_unstemmed | Prognostic Properties of the GOLD 2023 Classification System |
title_short | Prognostic Properties of the GOLD 2023 Classification System |
title_sort | prognostic properties of the gold 2023 classification system |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126720/ https://www.ncbi.nlm.nih.gov/pubmed/37114105 http://dx.doi.org/10.2147/COPD.S410372 |
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