Evidence map›Paper›PMID 34893488›Full record

ArticleBMJ open2021

Severity of COVID-19 and adverse long-term outcomes: a retrospective cohort study based on a US electronic health record database.

Nick Jovanoski, Xin Chen, Ursula Becker, Kelly Zalocusky, Devika Chawla, Larry Tsai, Michelle Borm, Margaret Neighbors, Vincent Yau

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Observational
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Coronavirus Disease 2019 Severity and Risk of Subsequent Cardiovascular Events.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  16. Article
  17. Observational
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Nick JovanoskiGlobal Access, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Xin ChenProduct Development, Genentech Inc, South San Francisco, California, USA.
Ursula BeckerGlobal Access, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Kelly ZalocuskyProduct Development, Genentech Inc, South San Francisco, California, USA.
Devika ChawlaProduct Development, Genentech Inc, South San Francisco, California, USA.
Larry TsaiProduct Development, Genentech Inc, South San Francisco, California, USA.
Michelle BormProduct Development Medical Affairs, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Margaret NeighborsProduct Development, Genentech Inc, South San Francisco, California, USA.
Vincent YauProduct Development, Genentech Inc, South San Francisco, California, USA yau.vincent@gene.com.ORCID 0000-0001-5301-5300

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify potential risk factors for adverse long-term outcomes (LTOs) associated with COVID-19, using a large electronic health record (EHR) database.

designRetrospective cohort study. Patients with COVID-19 were assigned into subcohorts according to most intensive treatment setting experienced. Newly diagnosed conditions were classified as respiratory, cardiovascular or mental health LTOs at >30-≤90 or >90-≤180 days after COVID-19 diagnosis or hospital discharge. Multivariate regression analysis was performed to identify any association of treatment setting (as a proxy for disease severity) with LTO incidence.

settingOptum deidentified COVID-19 EHR dataset drawn from hospitals and clinics across the USA.

participantsIndividuals diagnosed with COVID-19 (N=57 748) from 20 February to 4 July 2020. MAIN OUTCOMES: Incidence of new clinical conditions after COVID-19 diagnosis or hospital discharge and the association of treatment setting (as a proxy for disease severity) with their risk of occurrence.

resultsPatients were assigned into one of six subcohorts: outpatient (n=22 788), emergency room (ER) with same-day COVID-19 diagnosis (n=11 633), ER with COVID-19 diagnosis≤21 days before ER visit (n=2877), hospitalisation without intensive care unit (ICU; n=16 653), ICU without ventilation (n=1837) and ICU with ventilation (n=1960). Respiratory LTOs were more common than cardiovascular or mental health LTOs across subcohorts and LTO incidence was higher in hospitalised versus non-hospitalised subcohorts. Patients with the most severe disease were at increased risk of respiratory (risk ratio (RR) 1.86, 95% CI 1.56 to 2.21), cardiovascular (RR 2.65, 95% CI 1.49 to 4.43) and mental health outcomes (RR 1.52, 95% CI 1.20 to 1.91) up to 6 months after hospital discharge compared with outpatients.

conclusionsPatients with severe COVID-19 had increased risk of new clinical conditions up to 6 months after hospital discharge. The extent that treatment setting (eg, ICU) contributed to these conditions is unknown, but strategies to prevent COVID-19 progression may nonetheless minimise their occurrence.

Indexed as

COVID-19COVID-19 TestingElectronic Health RecordsHumansRetrospective StudiesSARS-CoV-2COVID-19epidemiologypublic healthrespiratory infections

Identifiers

PMID34893488
PMCPMC9065767

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.