Evidence map›Paper›PMID 35135773›Full record

ArticleBMJ open2022

Descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London.

Luke B Snell, Wenjuan Wang, Adela Alcolea-Medina, Themoula Charalampous, Rahul Batra, Leonardo de Jongh, Finola Higgins, Gaia Nebbia, COG-UK HOCI Investigators, Yanzhong Wang and 2 more

Abstract read
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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

12 authors.

Luke B Snell *Centre for Clinical Infection & Diagnostics Research, King's College London, London, UK luke.snell@nhs.net.ORCID 0000-0002-6263-9497
Wenjuan Wang *Department of Population Health Sciences, King's College London, London, UK.ORCID 0000-0002-1879-7332
Adela Alcolea-MedinaCentre for Clinical Infection & Diagnostics Research, King's College London, London, UK.
Themoula CharalampousCentre for Clinical Infection & Diagnostics Research, King's College London, London, UK.ORCID 0000-0002-8914-5868
Rahul BatraCentre for Clinical Infection & Diagnostics Research, King's College London, London, UK.
Leonardo de JonghNIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Finola HigginsNIHR Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust, London, UK.
Gaia NebbiaCentre for Clinical Infection & Diagnostics Research, King's College London, London, UK.ORCID 0000-0002-7524-1947
COG-UK HOCI Investigators
Yanzhong WangDepartment of Population Health Sciences, King's College London, London, UK.ORCID 0000-0002-0768-1676
Jonathan EdgeworthCentre for Clinical Infection & Diagnostics Research, King's College London, London, UK.
Vasa CurcinDepartment of Population Health Sciences, King's College London, London, UK.

Funding

Medical Research Council MC_PC_19027
6 · The paper itself

Abstract

backgroundThe Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 emerged and became the dominant circulating variant in the UK in late 2020. Current literature is unclear on whether the Alpha variant is associated with increased severity. We linked clinical data with viral genome sequence data to compare admitted cases between SARS-CoV-2 waves in London and to investigate the association between the Alpha variant and the severity of disease.

methodsClinical, demographic, laboratory and viral sequence data from electronic health record systems were collected for all cases with a positive SARS-CoV-2 RNA test between 13 March 2020 and 17 February 2021 in a multisite London healthcare institution. Multivariate analysis using logistic regression assessed risk factors for severity as defined by hypoxia at admission.

resultsThere were 5810 SARS-CoV-2 RNA-positive cases of which 2341 were admitted (838 in wave 1 and 1503 in wave 2). Both waves had a temporally aligned rise in nosocomial cases (96 in wave 1 and 137 in wave 2). The Alpha variant was first identified on 15 November 2020 and increased rapidly to comprise 400/472 (85%) of sequenced isolates from admitted cases in wave 2. A multivariate analysis identified risk factors for severity on admission, such as age (OR 1.02, 95% CI 1.01 to 1.03, for every year older; p<0.001), obesity (OR 1.70, 95% CI 1.28 to 2.26; p<0.001) and infection with the Alpha variant (OR 1.68, 95% CI 1.26 to 2.24; p<0.001).

conclusionsOur analysis is the first in hospitalised cohorts to show increased severity of disease associated with the Alpha variant. The number of nosocomial cases was similar in both waves despite the introduction of many infection control interventions before wave 2.

Indexed as

COVID-19SARS-CoV-2HumansLondonPandemicsRNA, ViralSeverity of Illness IndexRNA, Viralepidemiologypublic healthvirology

Identifiers

PMID35135773
PMCPMC8829842

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.