Literature DB >> 33580261

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

Joakim Dillner1, K Miriam Elfström1, Jonas Blomqvist2, Lars Engstrand1,3,4, Mathias Uhlén4, Carina Eklund1, Fredrik Boulund3, Camilla Lagheden1, Marica Hamsten3, Sara Nordqvist-Kleppe1, Maike Seifert3, Cecilia Hellström5, Jennie Olofsson5, Eni Andersson5, August Jernbom Falk5, Sofia Bergström5, Emilie Hultin1, Elisa Pin5, Ville N Pimenoff1, Sadaf Hassan1, Anna Månberg5, Peter Nilsson5, My Hedhammar6, Sophia Hober6, Johan Mattsson2, Laila Sara Arroyo Mühr1, Kalle Conneryd Lundgren2.   

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.
© 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.

Entities:  

Keywords:  SARS-CoV-2; antibodies; coronavirus; health care workers; sick leave

Year:  2021        PMID: 33580261      PMCID: PMC7928785          DOI: 10.1093/infdis/jiab099

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  3 in total

1.  Potential SARS-CoV-2 infectiousness among asymptomatic healthcare workers.

Authors:  Ville N Pimenoff; Miriam Elfström; Kalle Conneryd Lundgren; Susanna Klevebro; Erik Melen; Joakim Dillner
Journal:  PLoS One       Date:  2021-12-17       Impact factor: 3.240

2.  Predicting past and future SARS-CoV-2-related sick leave using discrete time Markov modelling.

Authors:  Jiayao Lei; Mark Clements; Miriam Elfström; Kalle Conneryd Lundgren; Joakim Dillner
Journal:  PLoS One       Date:  2022-08-12       Impact factor: 3.752

3.  Association between household exposure and cycle threshold in COVID-19 infected health care workers.

Authors:  Ai Chien; Sandra Domeracki; Sandeep Guntur; Kristopher Taylor; Chuanyi M Lu; Harry Lampiris; Paul D Blanc
Journal:  J Occup Med Toxicol       Date:  2021-08-04       Impact factor: 2.646

  3 in total

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