Evidence map›Paper›PMID 32979987›Full record

Observational studyThe Lancet. Respiratory medicine2020

Risk of COVID-19-related death among patients with chronic obstructive pulmonary disease or asthma prescribed inhaled corticosteroids: an observational cohort study using the OpenSAFELY platform.

Anna Schultze, Alex J Walker, Brian MacKenna, Caroline E Morton, Krishnan Bhaskaran, Jeremy P Brown, Christopher T Rentsch, Elizabeth Williamson, Henry Drysdale, Richard Croker and 23 more

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in The Lancet. Respiratory medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 155 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
155citing papers in PubMed, 9 pooled it
28.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

155 citing papers in PubMed, 9 syntheses or guidelines pooled it, 270 citations in OpenAlex.

  1. Pooled it
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  3. Risk of serious COVID-19 outcomes among adults and children with moderate-to-severe asthma: a systematic review and meta-analysis.European respiratory review : an official journal of the European Respiratory Society · 2022
    Pooled it
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  6. Dementia is an age-independent risk factor for severity and death in COVID-19 inpatients.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2021
    Pooled it
  7. Guideline
  8. Pooled it
  9. Pooled it
  10. Trial
  11. Article
  12. Asthma control and exacerbation risk following SARS-CoV-2 infection in the post-acute COVID-19 phase: a systematic review.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2026
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95 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

33 authors at 4 institutions in 1 country.

Anna SchultzeLondon School of Hygiene & Tropical Medicine, London, UK.
Alex J WalkerThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Brian MacKennaThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Caroline E MortonThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Krishnan BhaskaranLondon School of Hygiene & Tropical Medicine, London, UK.
Jeremy P BrownLondon School of Hygiene & Tropical Medicine, London, UK.
Christopher T RentschLondon School of Hygiene & Tropical Medicine, London, UK.
Elizabeth WilliamsonLondon School of Hygiene & Tropical Medicine, London, UK.
Henry DrysdaleThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Richard CrokerThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Seb BaconThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
William HulmeThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Chris BatesThe Phoenix Partnership (TPP), TPP House, Leeds, UK.
Helen J CurtisThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Amir MehrkarThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
David EvansThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Peter InglesbyThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Jonathan CockburnThe Phoenix Partnership (TPP), TPP House, Leeds, UK.
Helen I McDonaldLondon School of Hygiene & Tropical Medicine, London, UK; NIHR Health Protection Research Unit in Immunisation, London, UK.
Laurie TomlinsonLondon School of Hygiene & Tropical Medicine, London, UK.
Rohini MathurLondon School of Hygiene & Tropical Medicine, London, UK.
Kevin WingLondon School of Hygiene & Tropical Medicine, London, UK.
Angel Y S WongLondon School of Hygiene & Tropical Medicine, London, UK.
Harriet ForbesLondon School of Hygiene & Tropical Medicine, London, UK.
John ParryThe Phoenix Partnership (TPP), TPP House, Leeds, UK.
Frank HesterThe Phoenix Partnership (TPP), TPP House, Leeds, UK.
Sam HarperThe Phoenix Partnership (TPP), TPP House, Leeds, UK.
Stephen J W EvansLondon School of Hygiene & Tropical Medicine, London, UK.
Jennifer QuintNational Heart and Lung Institute, Imperial College London, London, UK.
Liam SmeethLondon School of Hygiene & Tropical Medicine, London, UK; NIHR Health Protection Research Unit in Immunisation, London, UK.
Ian J DouglasLondon School of Hygiene & Tropical Medicine, London, UK.
Ben GoldacreThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. Electronic address: ben.goldacre@phc.ox.ac.uk.
OpenSAFELY Collaborative
London School of Hygiene & Tropical Medicine · GBUniversity of Oxford · GBJohn Lewis Partnership (United Kingdom) · GBImperial College London · GB

Funding

Medical Research Council MR/S003940/1Medical Research Council MR/S019669/1
6 · The paper itself

Abstract

backgroundEarly descriptions of patients admitted to hospital during the COVID-19 pandemic showed a lower prevalence of asthma and chronic obstructive pulmonary disease (COPD) than would be expected for an acute respiratory disease like COVID-19, leading to speculation that inhaled corticosteroids (ICSs) might protect against infection with severe acute respiratory syndrome coronavirus 2 or the development of serious sequelae. We assessed the association between ICS and COVID-19-related death among people with COPD or asthma using linked electronic health records (EHRs) in England, UK.

methodsIn this observational study, we analysed patient-level data for people with COPD or asthma from primary care EHRs linked with death data from the Office of National Statistics using the OpenSAFELY platform. The index date (start of follow-up) for both cohorts was March 1, 2020; follow-up lasted until May 6, 2020. For the COPD cohort, individuals were eligible if they were aged 35 years or older, had COPD, were a current or former smoker, and were prescribed an ICS or long-acting β agonist plus long-acting muscarinic antagonist (LABA-LAMA) as combination therapy within the 4 months before the index date. For the asthma cohort, individuals were eligible if they were aged 18 years or older, had been diagnosed with asthma within 3 years of the index date, and were prescribed an ICS or short-acting β agonist (SABA) only within the 4 months before the index date. We compared the outcome of COVID-19-related death between people prescribed an ICS and those prescribed alternative respiratory medications: ICSs versus LABA-LAMA for the COPD cohort, and low-dose or medium-dose and high-dose ICSs versus SABAs only in the asthma cohort. We used Cox regression models to estimate hazard ratios (HRs) and 95% CIs for the association between exposure categories and the outcome in each population, adjusted for age, sex, and all other prespecified covariates. We calculated e-values to quantify the effect of unmeasured confounding on our results.

findingsWe identified 148 557 people with COPD and 818 490 people with asthma who were given relevant respiratory medications in the 4 months before the index date. People with COPD who were prescribed ICSs were at increased risk of COVID-19-related death compared with those prescribed LABA-LAMA combinations (adjusted HR 1·39 [95% CI 1·10-1·76]). Compared with those prescribed SABAs only, people with asthma who were prescribed high-dose ICS were at an increased risk of death (1·55 [1·10-2·18]), whereas those given a low or medium dose were not (1·14 [0·85-1·54]). Sensitivity analyses showed that the apparent harmful association we observed could be explained by relatively small health differences between people prescribed ICS and those not prescribed ICS that were not recorded in the database (e value lower 95% CI 1·43).

interpretationOur results do not support a major role for regular ICS use in protecting against COVID-19-related death among people with asthma or COPD. Observed increased risks of COVID-19-related death can be plausibly explained by unmeasured confounding due to disease severity.

fundingUK Medical Research Council.

Indexed as

Administration, InhalationAdolescentAdrenal Cortex HormonesAdultAgedAged, 80 and overAsthmaBetacoronavirusCohort StudiesCoronavirus InfectionsCOVID-19Electronic Health RecordsEnglandFemaleHumansMaleAdrenal Cortex HormonesMuscarinic Antagonists

Identifiers

PMID32979987
PMCPMC7515601
OpenAlexW3089153595

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.