Evidence map›Paper›PMID 38519921›Full record

Observational studyBMC infectious diseases2024

Regional variation of COVID-19 admissions, acute kidney injury and mortality in England - a national observational study using administrative data.

Nitin V Kolhe, Richard J Fluck, Maarten W Taal

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04579562 (Regional Epidemiology of COVID-19 and Acute Kidney Injury in England), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 25% 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.

NCT04579562 unknown statusnot on this map

Regional Epidemiology of COVID-19 and Acute Kidney Injury in England

TypeobservationalSponsorUniversity Hospitals of Derby and Burton NHS Foundation TrustRan2020 to 2021Enrolled5,000ConditionsAcute Kidney InjuryArmsNo intervention
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 1 country.

Nitin V KolheUniversity Hospitals of Derby and Burton NHS Trust, Uttoxeter Road, Derby, DE22 3NE, UK. nitin.kolhe@nhs.net.
Richard J FluckUniversity Hospitals of Derby and Burton NHS Trust, Uttoxeter Road, Derby, DE22 3NE, UK.
Maarten W TaalUniversity Hospitals of Derby and Burton NHS Trust, Uttoxeter Road, Derby, DE22 3NE, UK.
University Hospitals of Derby and Burton NHS Foundation Trust · GBUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study explores regional variations in COVID-19 hospitalization rates, in-hospital mortality, and acute kidney injury (AKI) in England. We investigated the influence of population demographic characteristics, viral strain changes, and therapeutic advances on clinical outcomes.

methodsUsing hospital episode statistics, we conducted a retrospective cohort study with 749,844 admissions in 337,029 adult patients with laboratory-confirmed COVID-19 infection (March 1, 2020, to March 31, 2021). Multivariable logistic regression identified factors predicting AKI and mortality in COVID-19 hospitalized patients.

resultsLondon had the highest number of COVID-19 admissions (131,338, 18%), followed by the North-west region (122,683, 16%). The North-west had the highest population incidence of COVID-19 hospital admissions (21,167 per million population, pmp), while the South-west had the lowest (9,292 admissions pmp). Patients in London were relatively younger (67.0 ± 17.7 years) than those in the East of England (72.2 ± 16.8 years). The shortest length of stay was in the North-east (12.2 ± 14.9 days), while the longest was in the North-west (15.2 ± 17.9 days). All eight regions had higher odds of death compared to London, ranging from OR 1.04 (95% CI 1.00, 1.07) in the South-west to OR 1.24 (95% CI 1.21, 1.28) in the North-west. Older age, Asian ethnicity, emergency admission, transfers from other hospitals, AKI presence, ITU admission, social deprivation, and comorbidity were associated with higher odds of death. AKI incidence was 30.3%, and all regions had lower odds of developing AKI compared to London. Increasing age, mixed and black ethnicity, emergency admission, transfers from other providers, ITU care, and different levels of comorbidity were associated with higher odds of developing AKI.

conclusionsLondon exhibited higher hospital admission numbers and AKI incidence, but lower odds of death compared to other regions in England.

trial registrationRegistered on National Library of Medicine website ( www. CLINICALTRIALS: gov ) with registration number NCT04579562 on 8/10/2020.

Indexed as

Acute Kidney InjuryCOVID-19AdultEnglandHospitalizationHospital MortalityHumansRetrospective StudiesRisk FactorsAcute kidney injuryCOVID-19EpidemiologyVariation

Identifiers

PMID38519921
PMCPMC10960376
OpenAlexW4393065613

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.