Risk of long covid in patients with pre-existing chronic respiratory diseases: a systematic review and meta-analysis

Background An estimated 10–30% of people with COVID-19 experience debilitating long-term symptoms or long covid. Underlying health conditions associated with chronic inflammation may increase the risk of long covid.Methods We conducted a systematic review and meta-analysis to examine whether long co...

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Main Authors: Paul Terry, R Eric Heidel, Alexandria Q Wilson, Rajiv Dhand
Format: Article
Language:English
Published: BMJ Publishing Group 2025-01-01
Series:BMJ Open Respiratory Research
Online Access:https://bmjopenrespres.bmj.com/content/12/1/e002528.full
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author Paul Terry
R Eric Heidel
Alexandria Q Wilson
Rajiv Dhand
author_facet Paul Terry
R Eric Heidel
Alexandria Q Wilson
Rajiv Dhand
author_sort Paul Terry
collection DOAJ
description Background An estimated 10–30% of people with COVID-19 experience debilitating long-term symptoms or long covid. Underlying health conditions associated with chronic inflammation may increase the risk of long covid.Methods We conducted a systematic review and meta-analysis to examine whether long covid risk was altered by pre-existing asthma or chronic obstructive pulmonary disease (COPD) in adults. We identified studies by searching the PubMed and Embase databases from inception to 13 September 2024. We excluded studies that focused on children or defined long covid only in terms of respiratory symptoms. We used random-effects, restricted maximum likelihood models to analyse data pooled from 51 studies, which included 43 analyses of asthma and 30 analyses of COPD. The risk of bias was assessed using a ROBINS-E table.Results We found 41% increased odds of long covid with pre-existing asthma (95% CI 1.29 to 1.54); pre-existing COPD was associated with 32% increased odds (95% CI 1.16 to 1.51). Pre-existing asthma, but not COPD, was associated with increased odds of long covid-associated fatigue. We observed heterogeneity in the results of studies of asthma related to hospitalisation status. Potential confounding and inconsistent measurement of exposure and outcome variables were among the identified limitations.Conclusions Our findings support the hypothesis that pre-existing asthma and COPD increase the risk of long covid, including chronic fatigue outcomes in patients with asthma. Because COVID-19 targets the respiratory tract, these inflammatory conditions of the lower respiratory tract could provide mechanistic clues to a common pathway for the development of long-term sequelae in patients with long covid.
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spelling doaj-art-07e6e15de2d04de69c701c4041f9f7d42025-01-31T21:55:09ZengBMJ Publishing GroupBMJ Open Respiratory Research2052-44392025-01-0112110.1136/bmjresp-2024-002528Risk of long covid in patients with pre-existing chronic respiratory diseases: a systematic review and meta-analysisPaul Terry0R Eric Heidel1Alexandria Q Wilson2Rajiv Dhand3Department of Medicine, The University of Tennessee Graduate School of Medicine, Knoxville, Tennessee, USASurgery, The University of Tennessee Graduate School of Medicine, Knoxville, Tennessee, USAPreston Medical Library, Graduate School of Medicine, University of Tennessee Medical Center, Knoxville, Tennessee, USADepartment of Medicine, The University of Tennessee Graduate School of Medicine, Knoxville, Tennessee, USABackground An estimated 10–30% of people with COVID-19 experience debilitating long-term symptoms or long covid. Underlying health conditions associated with chronic inflammation may increase the risk of long covid.Methods We conducted a systematic review and meta-analysis to examine whether long covid risk was altered by pre-existing asthma or chronic obstructive pulmonary disease (COPD) in adults. We identified studies by searching the PubMed and Embase databases from inception to 13 September 2024. We excluded studies that focused on children or defined long covid only in terms of respiratory symptoms. We used random-effects, restricted maximum likelihood models to analyse data pooled from 51 studies, which included 43 analyses of asthma and 30 analyses of COPD. The risk of bias was assessed using a ROBINS-E table.Results We found 41% increased odds of long covid with pre-existing asthma (95% CI 1.29 to 1.54); pre-existing COPD was associated with 32% increased odds (95% CI 1.16 to 1.51). Pre-existing asthma, but not COPD, was associated with increased odds of long covid-associated fatigue. We observed heterogeneity in the results of studies of asthma related to hospitalisation status. Potential confounding and inconsistent measurement of exposure and outcome variables were among the identified limitations.Conclusions Our findings support the hypothesis that pre-existing asthma and COPD increase the risk of long covid, including chronic fatigue outcomes in patients with asthma. Because COVID-19 targets the respiratory tract, these inflammatory conditions of the lower respiratory tract could provide mechanistic clues to a common pathway for the development of long-term sequelae in patients with long covid.https://bmjopenrespres.bmj.com/content/12/1/e002528.full
spellingShingle Paul Terry
R Eric Heidel
Alexandria Q Wilson
Rajiv Dhand
Risk of long covid in patients with pre-existing chronic respiratory diseases: a systematic review and meta-analysis
BMJ Open Respiratory Research
title Risk of long covid in patients with pre-existing chronic respiratory diseases: a systematic review and meta-analysis
title_full Risk of long covid in patients with pre-existing chronic respiratory diseases: a systematic review and meta-analysis
title_fullStr Risk of long covid in patients with pre-existing chronic respiratory diseases: a systematic review and meta-analysis
title_full_unstemmed Risk of long covid in patients with pre-existing chronic respiratory diseases: a systematic review and meta-analysis
title_short Risk of long covid in patients with pre-existing chronic respiratory diseases: a systematic review and meta-analysis
title_sort risk of long covid in patients with pre existing chronic respiratory diseases a systematic review and meta analysis
url https://bmjopenrespres.bmj.com/content/12/1/e002528.full
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