COPD in the time of COVID-19: an analysis of acute exacerbations and reported behavioural changes in patients with COPD

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Abstract

The impact of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic and associated “lockdown” measures on acute exacerbations of chronic obstructive pulmonary disease (AECOPD) is unknown. We aimed to evaluate the change in AECOPD treatment frequency during the first 6 weeks of lockdown in the UK compared with 2019 and assess changes in self-reported behaviour and wellbeing.

Methods

In this observational study in Leicestershire, UK, patients with COPD under a secondary care clinic were recruited. Exacerbation frequency in the first 6 weeks of COVID-19 lockdown was compared with the same period in 2019 using electronic health records. A telephone survey was used to assess changes in anxiety, inhaler adherence, physical activity and behaviour during the pre-lockdown and lockdown periods compared with normal.

Results

160 participants were recruited (mean± sd age 67.3±8.1 years, 88 (55%) males, mean± sd forced expiratory volume in 1 s 34±13% pred). 140 (88%) reported at least one AECOPD in the previous year. Significantly more community managed exacerbations were observed in 2020 compared with 2019 (126 versus 99; p=0.026). The increase was a result of multiple courses of treatment, with a similar proportion of patients receiving at least one course (34.4% versus 33.8%).

Discussion

During lockdown participants reported significantly increased anxiety, adherence to their preventative inhalers and good adherence to shielding advice (all p<0.001). A significant reduction in self-reported physical activity and visitors was reported (both p<0.001).

Conclusions

Treatment for AECOPD events increased during the first 6 weeks of the SARS-CoV-2 pandemic in the UK compared with 2019. This was associated with increased symptoms of anxiety and significant behavioural change.

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  1. SciScore for 10.1101/2020.09.18.20197202: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board StatementConsent: Participants were prospectively recruited between 2nd June, 2020 and 8th July, 2020 and provided informed consent.
    IRB: Ethics approval was granted by the London-Brent Research Ethics Committee (REF 20/HRA/2510).
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Statistical analysis was performed using STATA 16 (StataCorp, USA).
    STATA
    suggested: (Stata, RRID:SCR_012763)
    StataCorp
    suggested: (Stata, RRID:SCR_012763)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).


    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.


    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.


    Results from JetFighter: We did not find any issues relating to colormaps.


    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.