Development and validation of a method to estimate COPD severity in multiple datasets: a retrospective study
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
Introduction
Outcomes in chronic obstructive pulmonary disease (COPD) such as symptoms, hospitalisations and mortality rise with increasing disease severity. However, the heterogeneity of electronic medical records presents a significant challenge in measuring severity across geographies. We aimed to develop and validate a method to approximate COPD severity using the Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2011 classification scheme, which categorises patients based on forced expiratory volume in 1 s, hospitalisations and the modified Medical Research Council dyspnoea scale or COPD Assessment Test.
Methods
This analysis was part of a comprehensive retrospective study, including patients sourced from the IQVIA Medical Research Data [IMRD; incorporating data from The Health Improvement Network (THIN), a Cegedim database] and the Clinical Practice Research Datalink (CPRD) in the UK, the Disease Analyzer in Germany and the Longitudinal Patient Data in Italy, France and Australia. Patients in the CPRD with the complete set of information required to calculate GOLD 2011 groups were used to develop the method. Ordinal logistic models at COPD diagnosis and at index (first episode of triple therapy) were then used to validate the method to estimate COPD severity, and this was applied to the full study population to estimate GOLD 2011 categories.
Results
Overall, 4579 and 12,539 patients were included in the model at COPD diagnosis and at index, respectively. Models correctly classified 74.4% and 75.9% of patients into severe and non-severe categories at COPD diagnosis and at index, respectively. Age, gender, time between diagnosis and start of triple therapy, healthcare resource use, comorbid conditions and prescriptions were included as covariates.
Conclusion
This study developed and validated a method to approximate disease severity based on GOLD 2011 categories that can potentially be used in patients without all the key parameters needed for this calculation.
Outcomes in chronic obstructive pulmonary disease (COPD) such as symptoms, hospitalisations and mortality rise with increasing disease severity. However, the heterogeneity of electronic medical records presents a significant challenge in measuring severity across geographies. We aimed to develop and validate a method to approximate COPD severity using the Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2011 classification scheme, which categorises patients based on forced expiratory volume in 1 s, hospitalisations and the modified Medical Research Council dyspnoea scale or COPD Assessment Test.
Methods
This analysis was part of a comprehensive retrospective study, including patients sourced from the IQVIA Medical Research Data [IMRD; incorporating data from The Health Improvement Network (THIN), a Cegedim database] and the Clinical Practice Research Datalink (CPRD) in the UK, the Disease Analyzer in Germany and the Longitudinal Patient Data in Italy, France and Australia. Patients in the CPRD with the complete set of information required to calculate GOLD 2011 groups were used to develop the method. Ordinal logistic models at COPD diagnosis and at index (first episode of triple therapy) were then used to validate the method to estimate COPD severity, and this was applied to the full study population to estimate GOLD 2011 categories.
Results
Overall, 4579 and 12,539 patients were included in the model at COPD diagnosis and at index, respectively. Models correctly classified 74.4% and 75.9% of patients into severe and non-severe categories at COPD diagnosis and at index, respectively. Age, gender, time between diagnosis and start of triple therapy, healthcare resource use, comorbid conditions and prescriptions were included as covariates.
Conclusion
This study developed and validated a method to approximate disease severity based on GOLD 2011 categories that can potentially be used in patients without all the key parameters needed for this calculation.
Date Issued
2021-06-01
Date Acceptance
2020-11-02
Citation
Pulmonary Therapy, 2021, 7, pp.119-132
ISSN
2364-1746
Publisher
Springer
Start Page
119
End Page
132
Journal / Book Title
Pulmonary Therapy
Volume
7
Copyright Statement
© The Author(s) 2020. This article is licensed under a
Creative Commons Attribution-NonCommercial 4.0 International License, which permits
any non-commercial use, sharing, adaptation,
distribution and reproduction in any medium
or format, as long as you give appropriate credit
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indicate if changes were made. The images or
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licence, unless indicated otherwise in a credit
line to the material. If material is not included
in the article’s Creative Commons licence and
your intended use is not permitted by statutory
regulation or exceeds the permitted use, you
will need to obtain permission directly from the
copyright holder. To view a copy of this licence,
visit http://creativecommons.org/licenses/bync/4.0/.
Creative Commons Attribution-NonCommercial 4.0 International License, which permits
any non-commercial use, sharing, adaptation,
distribution and reproduction in any medium
or format, as long as you give appropriate credit
to the original author(s) and the source, provide
a link to the Creative Commons licence, and
indicate if changes were made. The images or
other third party material in this article are
included in the article’s Creative Commons
licence, unless indicated otherwise in a credit
line to the material. If material is not included
in the article’s Creative Commons licence and
your intended use is not permitted by statutory
regulation or exceeds the permitted use, you
will need to obtain permission directly from the
copyright holder. To view a copy of this licence,
visit http://creativecommons.org/licenses/bync/4.0/.
License URL
Sponsor
AstraZeneca UK Limited
Identifier
https://link.springer.com/article/10.1007%2Fs41030-020-00139-0
Grant Number
PO 8300372598
Subjects
Chronic obstructive pulmonary disease
Disease severity
Logistical model
Retrospective study
Treatment initiation
Triple therapy
Publication Status
Published
Date Publish Online
2020-12-07