| Literature DB >> 34148454 |
Susanna Klevebro1,2, Fuad Bahram3, K Miriam Elfström4, Ulrika Hellberg1,2, Sophia Hober5, Simon Kebede Merid1, Inger Kull1,2, Peter Nilsson5, Per Tornvall1, Gang Wang1,6, Kalle Conneryd Lundgren4, Sari Ponzer1, Joakim Dillner4, Erik Melén1,2.
Abstract
AIM: We aimed to assess prevalence of IgG antibodies to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and factors associated with seropositivity in a large cohort of healthcare workers (HCWs).Entities:
Keywords: Antibodies; COVID-19; SARS-CoV-2; health personnel; healthcare workers; seroepidemiologic studies; seroprevalence
Mesh:
Year: 2021 PMID: 34148454 PMCID: PMC8521364 DOI: 10.1177/14034948211022434
Source DB: PubMed Journal: Scand J Public Health ISSN: 1403-4948 Impact factor: 3.021
Characteristics of the study population.
| Variables | Mean (SD) | ||
|---|---|---|---|
| Age, | 46 (12) | ||
| Female | Male | ||
| Sex, | 3210 (81) | 771 (19) | |
| Yes | No | Do not know | |
| Active work with COVID-19 patients, | 2560 (65) | 1122 (28) | 283 (7) |
| Self-suspicion of prior SARS-CoV-2 infection, | 1042 (26) | 1336 (34) | 1599 (40) |
Figure 1.Prevalence of SARS-CoV-2 IgG antibodies by test date.
Divided into first week, n = 1738; second week, n = 877; later weeks (week 3–5), n = 1366.
Error bars shows 95% confidence intervals.
Multivariable logistic regression presenting adjusted odds ratios (ORs) for a positive SARS-CoV-2 IgG test.
| Variables | OR | 95% CI | |
|---|---|---|---|
| Age, higher or equal than 40 years
| 1.10 | 0.92–1.30 | 0.29 |
| Sex, male
| 1.12 | 0.91–1.37 | 0.28 |
| Test date, second week
| 1.16 | 0.93–1.44 | 0.19 |
| Test date, third to fifth week
| 1.49 | 1.24–1.80 | < 0.01 |
| Active work with COVID-19 patients, yes
| 1.96 | 1.59–2.42 | < 0.01 |
| Active work with COVID-19 patients, do not know
| 1.03 | 0.69–1.55 | 0.88 |
Reference group: age < 40 years, n = 1475.
Reference group: female, n = 3210.
Reference group: test date, first week, n = 1738.
Reference group: active work with COVID-19 patients, no, n = 1122.
CI, confidence interval.
Figure 2.Differences between departments.
The seroprevalence within the department is presented in parentheses, and the figure demonstrates odds ratio (OR) and 95% confidence intervals (CI) from multivariable regression models comparing each department with all other hospital departments as reference adjusted for sex (categorical), age (continuous), date of test (three categories: first week, second week, third to fifth week), active work with COVID-19 patients (three categories: no, yes, do not know). ‘Smaller departments’ include participants from smaller departments that do not belong in any of the listed departments.