Evidence map›Paper›PMID 35636784›Full record

ArticleBMJ open2022

Risk factors associated with COVID-19 severity among patients on maintenance haemodialysis: a retrospective multicentre cross-sectional study in the UK.

Haresh Selvaskandan, Katherine L Hull, Sherna Adenwalla, Safa Ahmed, Maria-Cristina Cusu, Matthew Graham-Brown, Laura Gray, Matt Hall, Rizwan Hamer, Ammar Kanbar and 11 more

Open access · goldAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

21 authors at 10 institutions in 2 countries.

Haresh SelvaskandanJohn Walls Renal Unit, University Hospitals of Leicester NHS Trust, Leicester, UK haresh.selvaskandan@nhs.net.ORCID 0000-0002-2874-7005
Katherine L HullJohn Walls Renal Unit, University Hospitals of Leicester NHS Trust, Leicester, UK.
Sherna AdenwallaJohn Walls Renal Unit, University Hospitals of Leicester NHS Trust, Leicester, UK.
Safa AhmedDepartment of Renal Transplantation and Nephrology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Maria-Cristina CusuDepartment of Renal Medicine, Northampton General Hospital NHS Trust, Northampton, UK.
Matthew Graham-BrownJohn Walls Renal Unit, University Hospitals of Leicester NHS Trust, Leicester, UK.ORCID 0000-0002-6197-180X
Laura GrayDepartment of Health Sciences, University of Leicester, Leicester, UK.
Matt HallNottingham Renal and Transplant Unit, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Rizwan HamerDepartment of Renal Transplantation and Nephrology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Ammar KanbarDepartment of Renal Medicine, Royal Stoke University Hospital, Stoke-on-Trent, UK.
Hemali KanjiDepartment of Renal Transplantation and Nephrology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Mark LambieSchool of Medicine, Keele University, Keele, UK.
Han Sean LeeNottingham Renal and Transplant Unit, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Khalid MahdiDepartment of Renal Medicine, Lincoln County Hospital, Lincoln, UK.
Rupert MajorJohn Walls Renal Unit, University Hospitals of Leicester NHS Trust, Leicester, UK.
James F MedcalfJohn Walls Renal Unit, University Hospitals of Leicester NHS Trust, Leicester, UK.
Sushiladevi NatarajanJohn Walls Renal Unit, University Hospitals of Leicester NHS Trust, Leicester, UK.
Boavojuvie OseyaDepartment of Renal Medicine, Northampton General Hospital NHS Trust, Northampton, UK.
Stephanie StringerDepartment of Renal Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Matthew TabinorDepartment of Renal Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
James BurtonJohn Walls Renal Unit, University Hospitals of Leicester NHS Trust, Leicester, UK.ORCID 0000-0003-1176-7592
University of Leicester · GBUniversity Hospitals Coventry and Warwickshire NHS Trust · GBNorthampton General Hospital NHS Trust · GBNottingham University Hospitals NHS Trust · GBUniversity Hospitals Birmingham NHS Foundation Trust · GBIndiana University School of MedicineLeicester General Hospital · GBLincoln County Hospital · GBRoyal Stoke University Hospital · GBUniversity Hospitals of Leicester NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the applicability of risk factors for severe COVID-19 defined in the general population for patients on haemodialysis.

settingA retrospective cross-sectional study performed across thirty four haemodialysis units in midlands of the UK.

participantsAll 274 patients on maintenance haemodialysis who tested positive for SARS-CoV-2 on PCR testing between March and August 2020, in participating haemodialysis centres. EXPOSURE: The utility of obesity, diabetes status, ethnicity, Charlson Comorbidity Index (CCI) and socioeconomic deprivation scores were investigated as risk factors for severe COVID-19. MAIN OUTCOMES AND MEASURES: Severe COVID-19, defined as requiring supplemental oxygen or respiratory support, or a C reactive protein of ≥75 mg/dL (RECOVERY trial definitions), and its association with obesity, diabetes status, ethnicity, CCI, and socioeconomic deprivation.

results63.5% (174/274 patients) developed severe disease. Socioeconomic deprivation associated with severity, being most pronounced between the most and least deprived quartiles (OR 2.81, 95% CI 1.22 to 6.47, p=0.015), after adjusting for age, sex and ethnicity. There was no association between obesity, diabetes status, ethnicity or CCI with COVID-19 severity. We found no evidence of temporal evolution of cases (p=0.209) or clustering that would impact our findings.

conclusionThe incidence of severe COVID-19 is high among patients on haemodialysis; this cohort should be considered high risk. There was strong evidence of an association between socioeconomic deprivation and COVID-19 severity. Other risk factors that apply to the general population may not apply to this cohort.

Indexed as

COVID-19Diabetes MellitusCross-Sectional StudiesHumansObesityRenal DialysisRetrospective StudiesRisk FactorsSARS-CoV-2United KingdomCOVID-19dialysisepidemiology

Identifiers

PMID35636784
PMCPMC9152624
OpenAlexW4281723241

What OpenQuestion holds

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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.