High Amounts of SARS-CoV-2 Precede Sickness Among Asymptomatic Health Care Workers.


Journal

The Journal of infectious diseases
ISSN: 1537-6613
Titre abrégé: J Infect Dis
Pays: United States
ID NLM: 0413675

Informations de publication

Date de publication:
02 07 2021
Historique:
received: 16 12 2020
accepted: 11 02 2021
pubmed: 14 2 2021
medline: 20 7 2021
entrez: 13 2 2021
Statut: ppublish

Résumé

Whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positivity among asymptomatic subjects reflects past or future disease may be difficult to ascertain. We tested 9449 employees at Karolinska University Hospital, Stockholm, Sweden for SARS-CoV-2 RNA and antibodies, linked the results to sick leave records, and determined associations with past or future sick leave using multinomial logistic regression. Subjects with high amounts of SARS-CoV-2 virus, indicated by polymerase chain reaction (PCR) cycle threshold (Ct) value, had the highest risk for sick leave in the 2 weeks after testing (odds ratio [OR], 11.97; 95% confidence interval [CI], 6.29-22.80) whereas subjects with low amounts of virus had the highest risk for sick leave in the 3 weeks before testing (OR, 6.31; 95% CI, 4.38-9.08). Only 2.5% of employees were SARS-CoV-2 positive while 10.5% were positive by serology and 1.2% were positive in both tests. Serology-positive subjects were not at excess risk for future sick leave (OR, 1.06; 95% CI, .71-1.57). High amounts of SARS-CoV-2 virus, as determined using PCR Ct values, was associated with development of sickness in the next few weeks. Results support the concept that PCR Ct may be informative when testing for SARS-CoV-2. Clinical Trials Registration. NCT04411576.

Sections du résumé

BACKGROUND
Whether severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positivity among asymptomatic subjects reflects past or future disease may be difficult to ascertain.
METHODS
We tested 9449 employees at Karolinska University Hospital, Stockholm, Sweden for SARS-CoV-2 RNA and antibodies, linked the results to sick leave records, and determined associations with past or future sick leave using multinomial logistic regression.
RESULTS
Subjects with high amounts of SARS-CoV-2 virus, indicated by polymerase chain reaction (PCR) cycle threshold (Ct) value, had the highest risk for sick leave in the 2 weeks after testing (odds ratio [OR], 11.97; 95% confidence interval [CI], 6.29-22.80) whereas subjects with low amounts of virus had the highest risk for sick leave in the 3 weeks before testing (OR, 6.31; 95% CI, 4.38-9.08). Only 2.5% of employees were SARS-CoV-2 positive while 10.5% were positive by serology and 1.2% were positive in both tests. Serology-positive subjects were not at excess risk for future sick leave (OR, 1.06; 95% CI, .71-1.57).
CONCLUSIONS
High amounts of SARS-CoV-2 virus, as determined using PCR Ct values, was associated with development of sickness in the next few weeks. Results support the concept that PCR Ct may be informative when testing for SARS-CoV-2. Clinical Trials Registration. NCT04411576.

Identifiants

pubmed: 33580261
pii: 6134453
doi: 10.1093/infdis/jiab099
pmc: PMC7928785
doi:

Substances chimiques

Antibodies, Viral 0
RNA, Viral 0

Banques de données

ClinicalTrials.gov
['NCT04411576']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

14-20

Subventions

Organisme : Karolinska University Hospital
Organisme : County Council of Stockholm
Organisme : Knut and Alice Wallenberg Foundation
Organisme : Erling-Persson Family Foundation
Organisme : KTH Royal Institute of Technology
Organisme : SciLifeLab

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Auteurs

Joakim Dillner (J)

Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.

K Miriam Elfström (KM)

Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.

Jonas Blomqvist (J)

Karolinska University Hospital, Stockholm, Sweden.

Lars Engstrand (L)

Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.
Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Science for Life Laboratory, Stockholm, Sweden.

Mathias Uhlén (M)

Science for Life Laboratory, Stockholm, Sweden.

Carina Eklund (C)

Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.

Fredrik Boulund (F)

Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.

Camilla Lagheden (C)

Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.

Marica Hamsten (M)

Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.

Sara Nordqvist-Kleppe (S)

Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.

Maike Seifert (M)

Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.

Cecilia Hellström (C)

Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.

Jennie Olofsson (J)

Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.

Eni Andersson (E)

Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.

August Jernbom Falk (AJ)

Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.

Sofia Bergström (S)

Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.

Emilie Hultin (E)

Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.

Elisa Pin (E)

Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.

Ville N Pimenoff (VN)

Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.

Sadaf Hassan (S)

Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.

Anna Månberg (A)

Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.

Peter Nilsson (P)

Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.

My Hedhammar (M)

Division of Protein Technology, Department of Protein Science, Royal Institute of Technology, AlbaNova, Stockholm, Sweden.

Sophia Hober (S)

Division of Protein Technology, Department of Protein Science, Royal Institute of Technology, AlbaNova, Stockholm, Sweden.

Johan Mattsson (J)

Karolinska University Hospital, Stockholm, Sweden.

Laila Sara Arroyo Mühr (LS)

Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.

Kalle Conneryd Lundgren (KC)

Karolinska University Hospital, Stockholm, Sweden.

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