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High Amounts of SARS-CoV-2 Precede Sickness Among Asymptomatic Health Care Workers.
Dillner, Joakim; Elfström, K Miriam; Blomqvist, Jonas; Engstrand, Lars; Uhlén, Mathias; Eklund, Carina; Boulund, Fredrik; Lagheden, Camilla; Hamsten, Marica; Nordqvist-Kleppe, Sara; Seifert, Maike; Hellström, Cecilia; Olofsson, Jennie; Andersson, Eni; Falk, August Jernbom; Bergström, Sofia; Hultin, Emilie; Pin, Elisa; Pimenoff, Ville N; Hassan, Sadaf; Månberg, Anna; Nilsson, Peter; Hedhammar, My; Hober, Sophia; Mattsson, Johan; Arroyo Mühr, Laila Sara; Lundgren, Kalle Conneryd.
  • 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.
  • Uhlén M; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
  • Eklund C; Science for Life Laboratory, Stockholm, Sweden.
  • Boulund F; Science for Life Laboratory, 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; Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.
  • Olofsson J; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 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; Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, 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; Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.
  • Månberg A; Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.
  • Nilsson P; Karolinska University Laboratory, Karolinska University Hospital, Stockholm, Sweden.
  • Hedhammar M; Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.
  • Hober S; Division of Affinity Proteomics, Department of Protein Science, Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.
  • Mattsson J; Division of Protein Technology, Department of Protein Science, Royal Institute of Technology, AlbaNova, Stockholm, Sweden.
  • Arroyo Mühr LS; Division of Protein Technology, Department of Protein Science, Royal Institute of Technology, AlbaNova, Stockholm, Sweden.
  • Lundgren KC; Karolinska University Hospital, Stockholm, Sweden.
J Infect Dis ; 224(1): 14-20, 2021 07 02.
Article in English | MEDLINE | ID: covidwho-1294728
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Personnel / Asymptomatic Diseases / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Europa Language: English Journal: J Infect Dis Year: 2021 Document Type: Article Affiliation country: Infdis

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Health Personnel / Asymptomatic Diseases / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: Europa Language: English Journal: J Infect Dis Year: 2021 Document Type: Article Affiliation country: Infdis