| Literature DB >> 34343205 |
Jaber S Alqahtani1,2, Tope Oyelade3, Abdulelah M Aldhahir4, Renata Gonçalves Mendes5, Saeed M Alghamdi6,7, Marc Miravitlles8, Swapna Mandal1,9, John R Hurst1,9.
Abstract
BACKGROUND: Reports have suggested a reduction in exacerbations of chronic obstructive pulmonary disease (COPD) during the coronavirus disease 2019 (COVID-19) pandemic, particularly hospital admissions for severe exacerbations. However, the magnitude of this reduction varies between studies.Entities:
Year: 2021 PMID: 34343205 PMCID: PMC8330941 DOI: 10.1371/journal.pone.0255659
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1PRISMA diagram.
Characteristics of included studies examining reduction in hospital admissions for exacerbations of COPD.
| Authors [Reference] | Country | Study period | Calculated Containment and Health Index (0–100) during study period. | Total number of COPD exacerbations (Hospitalised and non-hospitalised) (n) | Hospitalised Exacerbations before pandemic Total n, or rate during study period | Hospitalised Exacerbations after pandemic Total n, or rate during study period | Rate Ratio (RR) (95% CI) or calculated percentage reduction | Quality assessment: 0 (high risk of bias) to 3 (low risk of bias) |
|---|---|---|---|---|---|---|---|---|
| Baeza-Martinez et al. [ | Spain | March 15 to May 15 2020 vs March 15 to May 15 2019 | 61 | 56 | 46 | 10 | % reduction: 78% | 0.4 |
| Berghaus et al. [ | Germany | February 01 to May 01 2020 vs February 01 to May 01 2018–2019 | 42 | 184 | Median = 105/month | Median = 47/month | RR = 0.58, 95% CI (0.54, 0.61) | 1.7 |
| Chan et al. [ | China (Hong Kong) | January 01 to March 31 2020 vs January 01 to March 31 2015–2019 | 38 | 4749 | ‘Average’ = 92/month | ‘Average’ = 41/month | RR = 0.44, 95% CI (0.36, 0.52) | 2.0 |
| Faria et al. [ | Portugal | March to July 2020 vs March to July 2016–2019 | 63 | 234 | 100 | 3 | RR = 0.59, 95% CI (0.55, 0.63) | 2.4 |
| González et al. 2021 [ | Spain | March 1 to May 31 2020 vs March 1 to May 31 2019 | 56 | 141 | 30 | 7 | % reduction = 77% | 2.1 |
| Hu et al. [ | China | December 01 2019 to March 31 2020 vs October 2018 to March 2019 | 55 | 796 | 90 | 32 | % reduction = 64% | 1.8 |
| Huh et al. [ | Republic of Korea | February to July 2020 vs January 2016 to January 2020 | 56 | Not reported | 435.11 per 1,000,000 | 251.7 per 1,000,000 | RR = 0.58, 95% CI (0.49, 0.68) | 1.5 |
| Jon Helgeland [ | Norway | March 13 to April 03 2020 vs January 01 to March 12 2020 | 47 | Not reported | 55.3/day | 31.6/day | RR = 0. 57, 95% CI (0.48, 0.67) | 1.8 |
| Kyriakopoulos et al. [ | Greece | March 01 to April 30 2020 vs March 01 to April 30 2018–2019 | 51 | 811 | 5.4/day | 2.4/day | RR = 0.43 95% CI (0.36, 0.51) | 2.1 |
| McAuley et al. [ | UK | March 15 to April 30 2020 vs March 15 to April 30 2019 | 54 | 225 | 10 | 5 | RR = 0.45, 95% CI (0.30, 0.59) | 2.5 |
| Stohr et al. [ | Germany | March 15 to April 30 2020, vs March 15 to April 30 2019 | 61 | 664 | 922 | 664 | RR = 0.73, 95% CI (0.55, 0.97) | 2.1 |
| Sykes et al. [ | UK | March 23 to June 1 2020 vs March 23 to June 1 2018–2019 | 60 | 706 | 580 | 126 | % reduction = 78% | 1.7 |
| Tan et al. [ | Singapore | February to July 2020 vs January 2018 to January 2020 | 56 | Not reported | Mean 92 (SD 18)/month | Mean 36 (SD 6)/month | RR = 0.39 95% CI (0.33, 0.44) | 1.7 |
Fig 2Calculated percentage reduction in COPD exacerbations during the COVID-19 pandemic across 13 studies.
Fig 3Pooled rate ratio of hospitalised COPD exacerbations in the post- compared to the pre-COVID-19 pandemic period.
Fig 4Directed acyclic graph describing relationships between the COVID-19 pandemic and a reduction in COPD exacerbations.
We first considered factors known to be associated with COPD exacerbation risk (the outcome). We then considered respiratory virus infection control interventions developed during the pandemic (‘regulations’), and other variables associated with the pandemic that might associate with exacerbation risk: fear of coronavirus. We therefore considered regulation and fear to be the exposures, both arising from the COVID-19 pandemic. The DAG suggests that age, sex, prior exacerbation frequency and prior disease severity (FEV1% predicted) are potential confounders.