Evidence map›Paper›PMID 34672832›Full record

ArticleJournal of the Royal Society of Medicine2022

Association between multimorbidity and mortality in a cohort of patients admitted to hospital with COVID-19 in Scotland.

Utkarsh Agrawal, Amaya Azcoaga-Lorenzo, Adeniyi Francis Fagbamigbe, Eleftheria Vasileiou, Paul Henery, Colin R Simpson, Sarah J Stock, Syed Ahmar Shah, Chris Robertson, Mark Woolhouse and 5 more

Abstract read
In one paragraph

Article in Journal of the Royal Society of Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

15 authors.

Utkarsh AgrawalSchool of Medicine, University of St. Andrews, KY16 9TF, UK.ORCID 0000-0001-5181-6120
Amaya Azcoaga-LorenzoSchool of Medicine, University of St. Andrews, KY16 9TF, UK.ORCID 0000-0003-3307-878X
Adeniyi Francis FagbamigbeSchool of Medicine, University of St. Andrews, KY16 9TF, UK.
Eleftheria VasileiouUsher Institute, The University of Edinburgh, Edinburgh, EH8 9YL, UK.
Paul HeneryMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, G3 7HR, UK.
Colin R SimpsonUsher Institute, The University of Edinburgh, Edinburgh, EH8 9YL, UK.
Sarah J StockUsher Institute, The University of Edinburgh, Edinburgh, EH8 9YL, UK.
Syed Ahmar ShahUsher Institute, The University of Edinburgh, Edinburgh, EH8 9YL, UK.
Chris RobertsonDepartment of Mathematics and Statistics, University of Strathclyde, Glasgow, G1 1XQ, UK.
Mark WoolhouseUsher Institute, The University of Edinburgh, Edinburgh, EH8 9YL, UK.
Lewis D RitchieAcademic Primary Care, University of Aberdeen, Aberdeen, AB24 3FX, UK.
Aziz ShiekhUsher Institute, The University of Edinburgh, Edinburgh, EH8 9YL, UK.
Ewen M HarrisonUsher Institute, The University of Edinburgh, Edinburgh, EH8 9YL, UK.
Annemarie B DochertyUsher Institute, The University of Edinburgh, Edinburgh, EH8 9YL, UK.ORCID 0000-0001-8277-420X
Colin McCowanSchool of Medicine, University of St. Andrews, KY16 9TF, UK.

Funding

Chief Scientist Office COV/SAN/20/06Medical Research Council MC_PC_19004Medical Research Council MC_PC_19075Medical Research Council MC_PC_20058Medical Research Council MR/R008345/1
6 · The paper itself

Abstract

objectivesWe investigated the association between multimorbidity among patients hospitalised with COVID-19 and their subsequent risk of mortality. We also explored the interaction between the presence of multimorbidity and the requirement for an individual to shield due to the presence of specific conditions and its association with mortality.

designWe created a cohort of patients hospitalised in Scotland due to COVID-19 during the first wave (between 28 February 2020 and 22 September 2020) of the pandemic. We identified the level of multimorbidity for the patient on admission and used logistic regression to analyse the association between multimorbidity and risk of mortality among patients hospitalised with COVID-19.

settingScotland, UK.

participantsPatients hospitalised due to COVID-19.

main outcome measuresMortality as recorded on National Records of Scotland death certificate and being coded for COVID-19 on the death certificate or death within 28 days of a positive COVID-19 test.

resultsAlmost 58% of patients admitted to the hospital due to COVID-19 had multimorbidity. Adjusting for confounding factors of age, sex, social class and presence in the shielding group, multimorbidity was significantly associated with mortality (adjusted odds ratio 1.48, 95%CI 1.26-1.75). The presence of multimorbidity and presence in the shielding patients list were independently associated with mortality but there was no multiplicative effect of having both (adjusted odds ratio 0.91, 95%CI 0.64-1.29).

conclusionsMultimorbidity is an independent risk factor of mortality among individuals who were hospitalised due to COVID-19. Individuals with multimorbidity could be prioritised when making preventive policies, for example, by expanding shielding advice to this group and prioritising them for vaccination.

Indexed as

Hospital MortalityMultimorbidityAdultAgedAged, 80 and overCohort StudiesCOVID-19FemaleHospitalizationHumansMaleMiddle AgedSARS-CoV-2ScotlandSocial Determinants of HealthSociodemographic FactorsCOVID-19hospital admissionsmultimorbiditySARS-CoV-2shielding

Identifiers

PMID34672832
PMCPMC8811325

What OpenQuestion holds

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LicenceCC BY
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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.