Evidence map›Paper›PMID 39190434›Full record

ArticleJMIR public health and surveillance2024

The Clinical Severity of COVID-19 Variants of Concern: Retrospective Population-Based Analysis.

Sean P Harrigan, Héctor A Velásquez García, Younathan Abdia, James Wilton, Natalie Prystajecky, John Tyson, Chris Fjell, Linda Hoang, Jeffrey C Kwong, Sharmistha Mishra and 4 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

14 authors.

Sean P HarriganBC Centre for Disease Control, Vancouver, BC, Canada.ORCID 0000-0001-6021-7402
Héctor A Velásquez GarcíaUniversity of British Columbia Centre for Disease Control, Vancouver, BC, Canada.ORCID 0000-0002-0764-4664
Younathan AbdiaUniversity of British Columbia Centre for Disease Control, Vancouver, BC, Canada.ORCID 0009-0004-5695-8426
James WiltonBC Centre for Disease Control, Vancouver, BC, Canada.ORCID 0000-0002-2295-7511
Natalie PrystajeckyBC Centre for Disease Control, Vancouver, BC, Canada.ORCID 0000-0001-6421-7434
John TysonBC Centre for Disease Control, Vancouver, BC, Canada.ORCID 0000-0002-6295-3929
Chris FjellBC Centre for Disease Control, Vancouver, BC, Canada.ORCID 0000-0001-6304-2628
Linda HoangBC Centre for Disease Control, Vancouver, BC, Canada.ORCID 0000-0001-7769-6120
Jeffrey C KwongInstitute for Clinical Evaluative Sciences, Toronto, ON, Canada.ORCID 0000-0002-7820-2046
Sharmistha MishraInstitute for Clinical Evaluative Sciences, Toronto, ON, Canada.ORCID 0000-0001-8492-5470
Linwei WangMAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.ORCID 0000-0001-5406-1034
Beate SanderInstitute for Clinical Evaluative Sciences, Toronto, ON, Canada.ORCID 0000-0003-2128-9133
Naveed Z JanjuaBC Centre for Disease Control, Vancouver, BC, Canada.ORCID 0000-0001-5681-719X
Hind SbihiBC Centre for Disease Control, Vancouver, BC, Canada.ORCID 0000-0002-4288-7258

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSARS-CoV-2 variants of concern (VOCs) emerged and rapidly replaced the original strain worldwide. The increased transmissibility of these new variants led to increases in infections, hospitalizations, and mortality. However, there is a scarcity of retrospective investigations examining the severity of all the main VOCs in presence of key public health measures and within various social determinants of health (SDOHs).

objectiveThis study aims to provide a retrospective assessment of the clinical severity of COVID-19 VOCs in the context of heterogenous SDOHs and vaccination rollout.

methodsWe used a population-based retrospective cohort design with data from the British Columbia COVID-19 Cohort, a linked provincial surveillance platform. To assess the relative severity (hospitalizations, intensive care unit [ICU] admissions, and deaths) of Gamma, Delta, and Omicron infections during 2021 relative to Alpha, we used inverse probability treatment weighted Cox proportional hazard modeling. We also conducted a subanalysis among unvaccinated individuals, as assessed severity differed across VOCs and SDOHs.

resultsWe included 91,964 individuals infected with a SARS-CoV-2 VOC (Alpha: n=20,487, 22.28%; Gamma: n=15,223, 16.55%; Delta: n=49,161, 53.46%; and Omicron: n=7093, 7.71%). Delta was associated with the most severe disease in terms of hospitalization, ICU admissions, and deaths (hospitalization: adjusted hazard ratio [aHR] 2.00, 95% CI 1.92-2.08; ICU: aHR 2.05, 95% CI 1.91-2.20; death: aHR 3.70, 95% CI 3.23-4.25 relative to Alpha), followed generally by Gamma and then Omicron and Alpha. The relative severity by VOC remained similar in the unvaccinated individual subanalysis, although the proportion of individuals infected with Delta and Omicron who were hospitalized was 2 times higher in those unvaccinated than in those fully vaccinated. Regarding SDOHs, the proportion of hospitalized individuals was higher in areas with lower income across all VOCs, whereas among Alpha and Gamma infections, 2 VOCs that cocirculated, differential distributions of hospitalizations were found among racially minoritized groups.

conclusionsOur study provides robust severity estimates for all VOCs during the COVID-19 pandemic in British Columbia, Canada. Relative to Alpha, we found Delta to be the most severe, followed by Gamma and Omicron. This study highlights the importance of targeted testing and sequencing to ensure timely detection and accurate estimation of severity in emerging variants. It further sheds light on the importance of vaccination coverage and SDOHs in the context of pandemic preparedness to support the prioritization of allocation for resource-constrained or minoritized groups.

Indexed as

COVID-19HospitalizationSARS-CoV-2Severity of Illness IndexAdolescentAdultAgedAged, 80 and overBritish ColumbiaChildFemaleHumansIntensive Care UnitsMaleMiddle AgedRetrospective StudiesAlphaCOVID-19DeltaGammaOmicronSARS-CoV-2SDOHsseveritysocial determinants of healthvaccinationvariants of concernVOCsWGSwhole genome sequencing

Identifiers

PMID39190434
PMCPMC11387920

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.