Evidence map›Paper›PMID 34637459›Full record

ArticlePloS one2021

SARS-CoV-2 viral load as a predictor for disease severity in outpatients and hospitalised patients with COVID-19: A prospective cohort study.

Fredrikke Christie Knudtzen, Thøger Gorm Jensen, Susan Olaf Lindvig, Line Dahlerup Rasmussen, Lone Wulff Madsen, Silje Vermedal Hoegh, Malene Bek-Thomsen, Christian B Laursen, Stig Lønberg Nielsen, Isik Somuncu Johansen

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  7. Observational
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  16. Defining resistance and tolerance traits in Covid-19: towards a stratified medicine approach.QJM : monthly journal of the Association of Physicians · 2022
    Article
  17. Article
  18. Article
  19. Protective and pathogenic role of humoral responses in COVID-19.Journal of microbiology (Seoul, Korea) · 2022
    Review
  20. 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

10 authors.

Fredrikke Christie KnudtzenDepartment of Infectious Diseases, Odense University Hospital, Odense, Denmark.ORCID 0000-0001-8348-7819
Thøger Gorm JensenClinical Center of Emerging and Vector-borne Infections, Odense University Hospital, Odense, Denmark.
Susan Olaf LindvigDepartment of Infectious Diseases, Odense University Hospital, Odense, Denmark.
Line Dahlerup RasmussenDepartment of Infectious Diseases, Odense University Hospital, Odense, Denmark.
Lone Wulff MadsenDepartment of Infectious Diseases, Odense University Hospital, Odense, Denmark.
Silje Vermedal HoeghDepartment of Clinical Microbiology, Odense University Hospital, Odense, Denmark.
Malene Bek-ThomsenDepartment of Clinical Microbiology, Lillebælt Hospital, Vejle, Denmark.
Christian B LaursenDepartment of Clinical Research, University of Southern Denmark, Odense, Denmark.
Stig Lønberg NielsenDepartment of Infectious Diseases, Odense University Hospital, Odense, Denmark.ORCID 0000-0002-7780-7131
Isik Somuncu JohansenDepartment of Infectious Diseases, Odense University Hospital, Odense, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe aimed to examine if severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction (PCR) cycle quantification (Cq) value, as a surrogate for SARS-CoV-2 viral load, could predict hospitalisation and disease severity in adult patients with coronavirus disease 2019 (COVID-19).

methodsWe performed a prospective cohort study of adult patients with PCR positive SARS-CoV-2 airway samples including all out-patients registered at the Department of Infectious Diseases, Odense University Hospital (OUH) March 9-March 17 2020, and all hospitalised patients at OUH March 10-April 21 2020. To identify associations between Cq-values and a) hospital admission and b) a severe outcome, logistic regression analyses were used to compute odds ratios (OR) and 95% Confidence Intervals (CI), adjusting for confounding factors (aOR).

resultsWe included 87 non-hospitalised and 82 hospitalised patients. The median baseline Cq-value was 25.5 (interquartile range 22.3-29.0). We found a significant association between increasing Cq-value and hospital-admission in univariate analysis (OR 1.11, 95% CI 1.04-1.19). However, this was due to an association between time from symptom onset to testing and Cq-values, and no association was found in the adjusted analysis (aOR 1.08, 95% CI 0.94-1.23). In hospitalised patients, a significant association between lower Cq-values and higher risk of severe disease was found (aOR 0.89, 95% CI 0.81-0.98), independent of timing of testing.

conclusionsSARS-CoV-2 PCR Cq-values in outpatients correlated with time after symptom onset, but was not a predictor of hospitalisation. However, in hospitalised patients lower Cq-values were associated with higher risk of severe disease.

Indexed as

COVID-19Severity of Illness IndexViral LoadAdultAgedFemaleHospitalizationHumansMaleMiddle AgedOutpatientsProspective StudiesSARS-CoV-2

Identifiers

PMID34637459
PMCPMC8509867

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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.