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Prognostication of co-morbidity clusters on hospitalisation and mortality in advanced COPD

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posted on 2024-04-16, 13:17 authored by Benjamin D James, Neil J Greening, Nicole Tracey, Pranabashis Haldar, Gerrit Woltmann, Robert FreeRobert Free, Michael C Steiner, Rachael A Evans, Thomas JC Ward

Rationale

As the prevalence of multimorbidity increases, understanding the impact of isolated comorbidities in people COPD becomes increasingly challenging. A simplified model of common comorbidity patterns may improve outcome prediction and allow targeted therapy.

Objectives

To assess whether comorbidity phenotypes derived from routinely collected clinical data in people with COPD show differences in risk of hospitalisation and mortality.

Methods

Twelve clinical measures related to common comorbidities were collected during annual reviews for people with advanced COPD and k-means cluster analysis performed. Cox proportional hazards with adjustment for covariates was used to determine hospitalisation and mortality risk between clusters.

Measurements and main results

In 203 participants (age 66 ± 9 years, 60 % male, FEV1%predicted 31 ± 10 %) no comorbidity in isolation was predictive of worse admission or mortality risk. Four clusters were described: cluster A (cardiometabolic and anaemia), cluster B (malnourished and low mood), cluster C (obese, metabolic and mood disturbance) and cluster D (less comorbid). FEV1%predicted did not significantly differ between clusters. Mortality risk was higher in cluster A (HR 3.73 [95%CI 1.09-12.82] p = 0.036) and B (HR 3.91 [95%CI 1.17-13.14] p = 0.027) compared to cluster D. Time to admission was highest in cluster A (HR 2.01 [95%CI 1.11-3.63] p = 0.020). Cluster C was not associated with increased risk of mortality or hospitalisation.

Conclusions

Despite presence of advanced COPD, we report striking differences in prognosis for both mortality and hospital admissions for different co-morbidity phenotypes. Objectively assessing the multi-system nature of COPD could lead to improved prognostication and targeted therapy for patients.

History

Author affiliation

College of Life Sciences/Respiratory Sciences; College of Science & Engineering/Comp' & Math' Sciences

Version

  • VoR (Version of Record)

Published in

Respiratory Medicine

Volume

222

Pagination

107525

Publisher

Elsevier BV

issn

0954-6111

eissn

1532-3064

Copyright date

2024

Available date

2024-04-16

Spatial coverage

England

Language

en

Deposited by

Dr Tom Ward

Deposit date

2024-03-27

Rights Retention Statement

  • No

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