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Comparison of different staging methods for COPD in predicting outcomes.

Authors :
Huang TH
Hsiue TR
Lin SH
Liao XM
Su PL
Chen CZ
Source :
The European respiratory journal [Eur Respir J] 2018 Mar 15; Vol. 51 (3). Date of Electronic Publication: 2018 Mar 15 (Print Publication: 2018).
Publication Year :
2018

Abstract

Chronic obstructive pulmonary disease (COPD) is commonly staged according to the percentage of predicted forced expiratory volume in 1 s (FEV <subscript>1</subscript> % pred), but other methods have been proposed. In this study we compared the performance of seven staging methods in predicting outcomes.We retrospectively studied 296 COPD outpatients. For each patient the disease severity was staged by separately applying the following methods: the criteria proposed by the Global Initiative for Chronic Obstructive Lung Disease (GOLD), quartiles of FEV <subscript>1</subscript> % pred and z-score of FEV <subscript>1</subscript> , quartiles and specified cut-off points of the ratio of FEV <subscript>1</subscript> over height squared ((FEV <subscript>1</subscript> ·Ht <superscript>-2</superscript> ) <subscript>A</subscript> and (FEV <subscript>1</subscript> ·Ht <superscript>-2</superscript> ) <subscript>B</subscript> , respectively), and quartiles of the ratio of FEV <subscript>1</subscript> over height cubed (FEV <subscript>1</subscript> ·Ht <superscript>-3</superscript> ) and of FEV <subscript>1</subscript> quotient (FEV <subscript>1</subscript> Q). We evaluated the performance of these methods in predicting the risks of severe acute exacerbation and all-cause mortality.Overall, staging based on the reference-independent FEV <subscript>1</subscript> Q performed best in predicting the risks of severe acute exacerbation (including frequent exacerbation) and mortality, followed by (FEV <subscript>1</subscript> ·Ht <superscript>-2</superscript> ) <subscript>B</subscript> The performance of staging methods could also be influenced by the choice of cut-off values. Future work using large and ethnically diverse populations to refine and validate the cut-off values would enhance the prediction of outcomes.<br />Competing Interests: Conflict of interest: None declared.<br /> (Copyright ©ERS 2018.)

Details

Language :
English
ISSN :
1399-3003
Volume :
51
Issue :
3
Database :
MEDLINE
Journal :
The European respiratory journal
Publication Type :
Academic Journal
Accession number :
29439022
Full Text :
https://doi.org/10.1183/13993003.00577-2017