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

Autor:	Dillner J; Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden., Elfström KM; Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden., Blomqvist J; Karolinska University Hospital, Stockholm, Sweden., 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., Uhlén M; Science for Life Laboratory, Stockholm, Sweden., Eklund C; Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden., Boulund F; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden., Lagheden C; Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden., Hamsten M; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden., Nordqvist-Kleppe S; Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden., Seifert M; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden., Hellström C; Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden., Olofsson J; Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden., Andersson E; Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden., Falk AJ; Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden., Bergström S; Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden., Hultin E; Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden., Pin E; Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden., Pimenoff VN; Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden., Hassan S; Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden., Månberg A; Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden., Nilsson P; Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden., Hedhammar M; Division of Protein Technology, Department of Protein Science, Royal Institute of Technology, AlbaNova, Stockholm, Sweden., Hober S; Division of Protein Technology, Department of Protein Science, Royal Institute of Technology, AlbaNova, Stockholm, Sweden., Mattsson J; Karolinska University Hospital, Stockholm, Sweden., Arroyo Mühr LS; Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden., Lundgren KC; Karolinska University Hospital, Stockholm, Sweden.
Jazyk:	angličtina
Zdroj:	The Journal of infectious diseases [J Infect Dis] 2021 Jul 02; Vol. 224 (1), pp. 14-20.
DOI:	10.1093/infdis/jiab099
Abstrakt:	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. (© 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.)
Databáze:	MEDLINE
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