| Literature DB >> 36065651 |
Sung Ran Kim1, Hyeon Jeong Kang1, Hye Rin Jeong1, Su Yeon Jang1, Jae Eun Lee1, Da Eun Kim1, Hae Ry Lee1, Min Hee Cho1, Ji Yun Noh1,2,3, Hee Jin Cheong1,2,3, Woo Joo Kim1,2,3, Joon Young Song1,2,4.
Abstract
The omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is known to have high infectivity and is more likely to evade vaccine immunity. However, booster vaccination is expected to strengthen cross-reactive immunity, thereby increasing the vaccine effectiveness (VE). This study aimed to evaluate the relative VE of the 3-dose (booster) vaccination compared with the 2-dose primary series vaccination in healthcare workers during omicron variant-dominant periods. During the omicron-dominant period from February 1, 2022 to February 28, 2022, a 1:1 matched case-control study was conducted. Healthcare workers with positive SARS-CoV-2 test results were classified as positive cases, whereas those with negative results served as controls. Compared with the 2-dose primary series vaccination, booster vaccination with mRNA vaccine showed moderate VE (53.1%). However, in multivariate analysis including the time elapsed after vaccination, the significant VE disappeared, reflecting the impact of recent vaccination rather than the third dose itself.Entities:
Keywords: COVID-19; Healthcare Worker; SARS-CoV-2; Vaccine Effectiveness
Mesh:
Substances:
Year: 2022 PMID: 36065651 PMCID: PMC9444572 DOI: 10.3346/jkms.2022.37.e267
Source DB: PubMed Journal: J Korean Med Sci ISSN: 1011-8934 Impact factor: 5.354
Characteristics of the study cases and controls
| Characteristics | Test-positive cases (n = 281) | Test-negative (n = 281) | ||
|---|---|---|---|---|
| Sex (male) | 79 (28.1) | 81 (28.8) | 0.852 | |
| Age, yr | 35.77 ± 10.24 | 34.34 ± 9.76 | 0.091 | |
| Households with COVID-19 | 67 (23.8) | 44 (15.7) | 0.015 | |
| Category of occupation | 0.386 | |||
| Doctors | 42 (14.9) | 58 (20.6) | ||
| Nurses | 114 (40.6) | 116 (41.3) | ||
| Medical assistants | 37 (13.2) | 29 (10.3) | ||
| Technicians | 35 (12.5) | 31 (11.0) | ||
| Non-medical service supporters | 53 (18.9) | 47 (16.7) | ||
| Vaccination status | 0.028 | |||
| 3-Dose (booster vaccinated) | 248 (88.3) | 263 (93.6) | ||
| 2-Dose (primary series vaccinated) | 33 (11.7) | 18 (6.4) | ||
| Vaccine types | 0.099 | |||
| ChAdOx1/ChAdOx1/BNT162b2 | 199 (70.8) | 189 (67.3) | ||
| BNT162b2/BNT162b2/BNT162b2 | 27 (9.6) | 41 (14.6) | ||
| mRNA-1273/mRNA-1273/mRNA-1273 | 13 (4.6) | 20 (7.1) | ||
| Others | 42 (14.9) | 31 (11.0) | ||
| Interval, daya | 88.16 ± 33.56 | 80.74 ± 26.60 | 0.004 | |
| Comorbidity | 5 (1.78) | 7 (2.49) | 0.386 | |
| Diabetes | 1 (0.36) | 3 (1.07) | ||
| Chronic lung diseases | 1 (0.36) | 1 (0.36) | ||
| Malignancy | 1 (0.36) | 3 (1.07) | ||
| Autoimmune diseases | 2 (0.71) | 0 | ||
Values are presented as number (%) or mean ± standard deviation.
COVID-19 = coronavirus disease 2019.
aThe interval from the final vaccination dose (second or third dose) to diagnostic testing for COVID-19.
Multivariate analysis for the risk factors of COVID-19
| Characteristics | Odds ratio | 95% confidence interval | ||
|---|---|---|---|---|
| Sex (female) | 1.053 | 0.679–1.632 | 0.817 | |
| Age | 1.013 | 0.993–1.033 | 0.218 | |
| Category of occupation | ||||
| Non-medical service supporters | Reference | |||
| Doctors | 0.746 | 0.411–1.355 | 0.335 | |
| Nurses | 1.058 | 0.615–1.818 | 0.839 | |
| Medical assistants | 1.143 | 0.600–2.179 | 0.684 | |
| Technicians | 1.132 | 0.590–2.172 | 0.708 | |
| Comorbidities | 0.565 | 0.170–1871 | 0.350 | |
| 3-Dose vaccination | 0.469 | 0.253–0.868 | 0.016 | |
| Households with COVID-19 | 1.703 | 1.100–2.636 | 0.017 | |
COVID-19 = coronavirus disease 2019.