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A novel CT-emphysema index/FEV(1) approach of phenotyping COPD to predict mortality

BACKGROUND: COPD-associated mortality was examined using a novel approach of phenotyping COPD based on computed tomography (CT)-emphysema index from quantitative CT (QCT) and post-bronchodilator (BD) forced expiratory volume in 1 second (FEV(1)) in a local Malaysian cohort. PATIENTS AND METHODS: Pro...

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Autores principales: Loh, Li-Cher, Ong, Choo-Khoon, Koo, Hyun-Jung, Lee, Sang Min, Lee, Jae-Seung, Oh, Yeon-Mok, Seo, Joon-Beom, Lee, Sang-Do
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110287/
https://www.ncbi.nlm.nih.gov/pubmed/30174423
http://dx.doi.org/10.2147/COPD.S165898
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author Loh, Li-Cher
Ong, Choo-Khoon
Koo, Hyun-Jung
Lee, Sang Min
Lee, Jae-Seung
Oh, Yeon-Mok
Seo, Joon-Beom
Lee, Sang-Do
author_facet Loh, Li-Cher
Ong, Choo-Khoon
Koo, Hyun-Jung
Lee, Sang Min
Lee, Jae-Seung
Oh, Yeon-Mok
Seo, Joon-Beom
Lee, Sang-Do
author_sort Loh, Li-Cher
collection PubMed
description BACKGROUND: COPD-associated mortality was examined using a novel approach of phenotyping COPD based on computed tomography (CT)-emphysema index from quantitative CT (QCT) and post-bronchodilator (BD) forced expiratory volume in 1 second (FEV(1)) in a local Malaysian cohort. PATIENTS AND METHODS: Prospectively collected data of 112 eligible COPD subjects (mean age, 67 years; male, 93%; mean post-BD FEV(1), 45.7%) was available for mortality analysis. Median follow-up time was 1,000 days (range, 60–1,400). QCT and clinicodemographic data were collected at study entry. Based on CT-emphysema index and post-BD FEV(1)% predicted, subjects were categorized into “emphysema-dominant,” “airway-dominant,” “mild mixed airway-emphysema,” and “severe mixed airway-emphysema” diseases. RESULTS: Sixteen patients (14.2%) died of COPD-associated causes. There were 29 (25.9%) “mild mixed,” 23 (20.5%) “airway-dominant,” 15 (13.4%) “emphysema-dominant,” and 45 (40.2%) “severe mixed” cases. “Mild mixed” disease was proportionately more in Global Initiative for Chronic Obstructive Lung Disease (GOLD) Group A, while “severe mixed” disease was proportionately more in GOLD Groups B and D. Kaplan–Meier survival estimates showed increased mortality risk with “severe mixed” disease (log rank test, p=0.03) but not with GOLD groups (p=0.08). Univariate Cox proportionate hazard analysis showed that age, body mass index, long-term oxygen therapy, FEV(1), forced volume capacity, COPD Assessment Test score, modified Medical Research Council score, St Georges’ Respiratory Questionnaire score, CT-emphysema index, and “severe mixed” disease (vs “mild mixed” disease) were associated with mortality. Multivariate Cox analysis showed that age, body mass index, and COPD Assessment Test score remain independently associated with mortality. CONCLUSION: “Severe mixed airway-emphysema” disease may predict COPD-associated mortality. Age, body mass index, and COPD Assessment Test score remain as key mortality risk factors in our cohort.
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spelling pubmed-61102872018-08-31 A novel CT-emphysema index/FEV(1) approach of phenotyping COPD to predict mortality Loh, Li-Cher Ong, Choo-Khoon Koo, Hyun-Jung Lee, Sang Min Lee, Jae-Seung Oh, Yeon-Mok Seo, Joon-Beom Lee, Sang-Do Int J Chron Obstruct Pulmon Dis Original Research BACKGROUND: COPD-associated mortality was examined using a novel approach of phenotyping COPD based on computed tomography (CT)-emphysema index from quantitative CT (QCT) and post-bronchodilator (BD) forced expiratory volume in 1 second (FEV(1)) in a local Malaysian cohort. PATIENTS AND METHODS: Prospectively collected data of 112 eligible COPD subjects (mean age, 67 years; male, 93%; mean post-BD FEV(1), 45.7%) was available for mortality analysis. Median follow-up time was 1,000 days (range, 60–1,400). QCT and clinicodemographic data were collected at study entry. Based on CT-emphysema index and post-BD FEV(1)% predicted, subjects were categorized into “emphysema-dominant,” “airway-dominant,” “mild mixed airway-emphysema,” and “severe mixed airway-emphysema” diseases. RESULTS: Sixteen patients (14.2%) died of COPD-associated causes. There were 29 (25.9%) “mild mixed,” 23 (20.5%) “airway-dominant,” 15 (13.4%) “emphysema-dominant,” and 45 (40.2%) “severe mixed” cases. “Mild mixed” disease was proportionately more in Global Initiative for Chronic Obstructive Lung Disease (GOLD) Group A, while “severe mixed” disease was proportionately more in GOLD Groups B and D. Kaplan–Meier survival estimates showed increased mortality risk with “severe mixed” disease (log rank test, p=0.03) but not with GOLD groups (p=0.08). Univariate Cox proportionate hazard analysis showed that age, body mass index, long-term oxygen therapy, FEV(1), forced volume capacity, COPD Assessment Test score, modified Medical Research Council score, St Georges’ Respiratory Questionnaire score, CT-emphysema index, and “severe mixed” disease (vs “mild mixed” disease) were associated with mortality. Multivariate Cox analysis showed that age, body mass index, and COPD Assessment Test score remain independently associated with mortality. CONCLUSION: “Severe mixed airway-emphysema” disease may predict COPD-associated mortality. Age, body mass index, and COPD Assessment Test score remain as key mortality risk factors in our cohort. Dove Medical Press 2018-08-22 /pmc/articles/PMC6110287/ /pubmed/30174423 http://dx.doi.org/10.2147/COPD.S165898 Text en © 2018 Loh et al. 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/). 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.
spellingShingle Original Research
Loh, Li-Cher
Ong, Choo-Khoon
Koo, Hyun-Jung
Lee, Sang Min
Lee, Jae-Seung
Oh, Yeon-Mok
Seo, Joon-Beom
Lee, Sang-Do
A novel CT-emphysema index/FEV(1) approach of phenotyping COPD to predict mortality
title A novel CT-emphysema index/FEV(1) approach of phenotyping COPD to predict mortality
title_full A novel CT-emphysema index/FEV(1) approach of phenotyping COPD to predict mortality
title_fullStr A novel CT-emphysema index/FEV(1) approach of phenotyping COPD to predict mortality
title_full_unstemmed A novel CT-emphysema index/FEV(1) approach of phenotyping COPD to predict mortality
title_short A novel CT-emphysema index/FEV(1) approach of phenotyping COPD to predict mortality
title_sort novel ct-emphysema index/fev(1) approach of phenotyping copd to predict mortality
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110287/
https://www.ncbi.nlm.nih.gov/pubmed/30174423
http://dx.doi.org/10.2147/COPD.S165898
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