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Reassessing the BODE score as a criterion for listing COPD patients for lung transplantation

Authors Pirard L, Marchand E

Received 3 August 2018

Accepted for publication 18 November 2018

Published 10 December 2018 Volume 2018:13 Pages 3963—3970

DOI https://doi.org/10.2147/COPD.S182483

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Amy Norman

Peer reviewer comments 2

Editor who approved publication: Dr Richard Russell


Lionel Pirard,1 Eric Marchand1,2

1Service de Pneumologie, Department of Pneumology, Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, CHU-UCL-Namur, Site Godinne, Yvoir, Belgium; 2Laboratoire de Physiologie Respiratoire, URPhyM, Namur Research Life Institute for Life Sciences (NARILIS), Université de Namur, Namur, Belgium

Background: The BODE score (incorporating body mass index, airflow obstruction, dyspnea and exercise capacity) is used for the timing of listing for lung transplantation (LTx) in COPD, based on survival data from the original BODE cohort. This has limitations, because the original BODE cohort differs from COPD patients who are candidates for LTx and the BODE does not include parameters that may influence survival. Our goal was to assess whether parameters such as age, smoking status and diffusion indices significantly influence survival in the absence of LTx, independently of the BODE.
Methods: In the present cohort study, the BODE was prospectively assessed in COPD patients followed in a tertiary care hospital with an LTx program. The files of 469 consecutive patients were reviewed for parameters of interest (age, gender, smoking status and diffusing capacity of the lungs for carbon monoxide [DL,CO]) at the time of BODE assessment, as well as for survival status. Their influence on survival independent of the BODE score was assessed, as well as their ability to predict survival in patients aged less than 65 years.
Results: A Cox regression model showed that the BODE score, age and DL,CO were independently related to survival (P-values <0.001), as opposed to smoking status. Survival was better in patients aged less than 65 in the first (P=0.004), third (P=0.002) and fourth BODE quartiles (P=0.008). The difference did not reach significance in the second quartile (P=0.13). Median survival for patients aged less than 65 in the fourth BODE quartile was 55 months. According to a receiver operating characteristic curve analysis, the BODE score as well as FEV1 and DL,CO fared similarly in predicting survival status at 5 years in patients aged less than 65 years.
Conclusion: Age and DL,CO add to the BODE score to predict survival in COPD. Assessing survival using tools tested in cohorts of patients younger than 65 years is warranted for improving the listing of patients for LTx.

Keywords: age, DL, CO, BODE index, survival, COPD, smoking status, gender
 

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