Evidence map›Paper›PMID 33942510›Full record

ArticleInfluenza and other respiratory viruses2021

Factors associated with COVID-19 related hospitalisation, critical care admission and mortality using linked primary and secondary care data.

Lisa Cummins, Irene Ebyarimpa, Nathan Cheetham, Victoria Tzortziou Brown, Katie Brennan, Jasmina Panovska-Griffiths

Abstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 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, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Obesity as an independent risk factor for COVID-19 severity and mortality.The Cochrane database of systematic reviews · 2023
    Pooled it
  3. The association between stroke and COVID-19-related mortality: a systematic review and meta-analysis based on adjusted effect estimates.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
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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

6 authors.

Lisa CumminsFinancial Strategy Team, NHS North East London Commissioning Alliance, London, UK.
Irene EbyarimpaFinancial Strategy Team, NHS North East London Commissioning Alliance, London, UK.
Nathan CheethamFinancial Strategy Team, NHS North East London Commissioning Alliance, London, UK.
Victoria Tzortziou BrownInstitute of Population Health Sciences, Queen Mary University of London, London, UK.
Katie BrennanFinancial Strategy Team, NHS North East London Commissioning Alliance, London, UK.
Jasmina Panovska-GriffithsThe Wolfson Centre for Mathematical Biology and The Queen's College, University of Oxford, Oxford, UK.ORCID 0000-0002-7720-1121

Funding

NHS North East London Alliance
6 · The paper itself

Abstract

backgroundIt is important that population cohorts at increased risk of hospitalisation and death following a COVID-19 infection are identified and protected.

objectivesWe identified risk factors associated with increased risk of hospitalisation, intensive care unit (ICU) admission and mortality in inner North East London (NEL) during the first UK COVID-19 wave.

methodsMultivariate logistic regression analysis on linked primary and secondary care data from people aged 16 or older with confirmed COVID-19 infection between 01/02/2020 and 30/06/2020 determined odds ratios (OR), 95% confidence intervals (CI) and P-values for the association between demographic, deprivation and clinical factors with COVID-19 hospitalisation, ICU admission and mortality.

resultsOver the study period, 1781 people were diagnosed with COVID-19, of whom 1195 (67%) were hospitalised, 152 (9%) admitted to ICU and 400 (23%) died. Results confirm previously identified risk factors: being male, or of Black or Asian ethnicity, or aged over 50. Obesity, type 2 diabetes and chronic kidney disease (CKD) increased the risk of hospitalisation. Obesity increased the risk of being admitted to ICU. Underlying CKD, stroke and dementia increased the risk of death. Having learning disabilities was strongly associated with increased risk of death (OR = 4.75, 95% CI = [1.91, 11.84], P = .001). Having three or four co-morbidities increased the risk of hospitalisation (OR = 2.34, 95% CI = [1.55, 3.54], P < .001; OR = 2.40, 95% CI = [1.55, 3.73], P < .001 respectively) and death (OR = 2.61, 95% CI = [1.59, 4.28], P < .001; OR = 4.07, 95% CI = [2.48, 6.69], P < .001 respectively).

conclusionsWe confirm that age, sex, ethnicity, obesity, CKD and diabetes are important determinants of risk of COVID-19 hospitalisation or death. For the first time, we also identify people with learning disabilities and multi-morbidity as additional patient cohorts that need to be actively protected during COVID-19 waves.

Indexed as

COVID-19Critical CareHospitalizationAdolescentAdultAgedDementiaDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedObesityRenal Insufficiency, ChronicSecondary Health CareStrokeCOVID-19COVID-19 mortality risk factorsregression analysisrisk factors for COVID-19 hospitalisation

Identifiers

PMID33942510
PMCPMC8242436

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.