| Literature DB >> 35870791 |
Hidetoshi Igari1, Haruna Asano2, Shota Murata3, Toshihiko Yoshida4, Kenji Kawasaki5, Takahiro Kageyama6, Key Ikeda7, Hiromi Koshikawa8, Yoshio Okuda9, Misao Urushihara10, Hitoshi Chiba11, Misuzu Yahaba12, Toshibumi Taniguchi13, Kazuyuki Matsushita14, Ichiro Yoshino15, Koutaro Yokote16, Hiroshi Nakajima17.
Abstract
INTRODUCTION: Vaccine effectiveness against SARS-CoV-2 infections decreases due to waning immunity, and booster vaccination was therefore introduced. We estimated the anti-spike antibody (AS-ab) recovery by booster vaccination and analyzed the risk factors for SARS-CoV-2 infections.Entities:
Keywords: Anti-spike antibody; Booster vaccination; Healthcare worker; SARS-CoV-2; mRNA vaccine
Mesh:
Substances:
Year: 2022 PMID: 35870791 PMCID: PMC9296373 DOI: 10.1016/j.jiac.2022.07.010
Source DB: PubMed Journal: J Infect Chemother ISSN: 1341-321X Impact factor: 2.065
Fig. 1The subjects and flowchart of cohort in this study
The subjects of this study consisted of health care workers (HCWs) of Chiba University Hospital, and they were all registered in the former study.
A total of 1774 HCWs were analyzed to determine the effects of booster vaccination. They completed the 2nd anti-Spike antibody (AS-ab) examination three weeks after two-dose vaccinations.
As for AS-ab analysis, we analyzed all HCWs who participated in blood sampling. As for vaccination effectiveness analysis, a total of 1708 HCWs, except for 66 who retired, were included. There were 357 HCWs without AS-ab titers. The numbers of booster vaccinations and non-booster vaccinations were 1633 and 75, respectively.
Change of anti-Spike antibody titers and COVID-19 vaccinations.
| 3 weeks after 2-dose vaccinations | 8 months after 2-dose vaccinations | 3 weeks after booster vaccinations | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Age | n | Median (IQR) (U/mL) | P-value | n | Median (IQR) (U/mL) | P-value | n | Median (IQR) (U/mL) | P-value | |||
| Total | 1774 | 2060 | (1250–2650) | 1351 | 587 | (360–896) | 1272 | 22716 | (15761–32622) | |||
| 20–29 yr. | 412 | 2315 | (1530–2935) | <0.01 | 298 | 722 | (466–1057) | <0.01 | 280 | 22573 | (15943–33497) | 0.53 |
| 30–39 yr. | 559 | 2080 | (1310–2660) | 406 | 635 | (380–905) | 377 | 22857 | (15577–32905) | |||
| 40–49 yr. | 440 | 2035 | (1235–2560) | 348 | 534 | (342–818) | 324 | 22279 | (16040–33083) | |||
| 50–59 yr. | 288 | 1875 | (1045–2420) | 241 | 510 | (318–801) | 234 | 23413 | (14519–32253) | |||
| ≥60 yr. | 75 | 1360 | (740–2120) | 58 | 347 | (224–616) | 57 | 18843 | (14159–30610) | |||
QR: interquartile range.
Univariate analysis of SARS-CoV-2 infection during 90 days from Dec. 21, 2021.
| n | SARS-CoV-2 infection | (%) | P value | ||
|---|---|---|---|---|---|
| Total | 1708 | 48 | (2.8) | ||
| Age | 20–29 yr. | 395 | 14 | (3.5) | 0.04 |
| 30–39 yr. | 539 | 18 | (3.3) | ||
| 40–49 yr. | 427 | 15 | (3.5) | ||
| 50–59 yr. | 278 | 1 | (0.4) | ||
| ≥60 yr. | 69 | 0 | (0.0) | ||
| Male | yes | 575 | 13 | (2.3) | 0.36 |
| no | 1133 | 35 | (3.1) | ||
| Booster vaccination | yes | 1633 | 45 | (2.8) | 0.47 |
| no | 75 | 3 | (4.0) | ||
| History of SARS-CoV-2 infection | yes | 17 | 0 | (0.0) | 1.00 |
| no | 1691 | 48 | (2.8) | ||
| Working at COVID-19 wards | yes | 172 | 13 | (7.6) | <0.01 |
| no | 1536 | 35 | (2.3) | ||
| Occupation | Doctor | 474 | 10 | (2.1) | <0.05 |
| Nurse | 552 | 24 | (4.4) | ||
| Other | 682 | 14 | (2.1) | ||
| Body Mass Index (kg/m2) | <25 | 1229 | 28 | (2.3) | 0.25 |
| ≥25 | 230 | 8 | (3.5) | ||
| Smoking | yes | 360 | 12 | (3.3) | 0.22 |
| no | 1099 | 24 | (2.2) | ||
| Diabetes Mellitus | yes | 24 | 1 | (4.2) | 0.45 |
| no | 1435 | 35 | (2.4) | ||
| Steroid therapy | yes | 40 | 1 | (2.5) | 1.00 |
| no | 1419 | 35 | (2.5) | ||
| Immunosuppressive therapy | Yes | 9 | 0 | (0.0) | 1.00 |
| no | 1450 | 36 | (2.5) | ||
SARS-CoV-2 infection and hospitalization according to age and booster vaccination during 90 days after booster vaccination from Dec. 21, 2021.
| Booster Vaccination | n | SARS-CoV-2 infection | (%) | P value | |
|---|---|---|---|---|---|
| Total | yes | 1633 | 45 | (2.8) | 0.47 |
| no | 75 | 3 | (4.0) | ||
| 20–29 yr. | yes | 373 | 11 | (2.9) | 0.04 |
| no | 22 | 3 | (13.6) | ||
| 30–39 yr. | yes | 508 | 18 | (3.5) | 0.62 |
| no | 31 | 0 | (0.0) | ||
| 40–49 yr. | yes | 414 | 15 | (3.6) | 1.0 |
| no | 13 | 0 | (0.0) | ||
| 50–59 yr. | yes | 272 | 1 | (0.4) | 1.0 |
| no | 6 | 0 | (0.0) | ||
| ≥60 yr. | yes | 66 | 0 | (0.0) | |
| no | 3 | 0 | (0.0) |
Multivariate logistic regression for SARS-CoV-2 infection during 90 days after booster vaccination.
| aOR | 95% CI | P value | |
|---|---|---|---|
| 20–49 yr | 9.7 | 1.3–71.2 | <0.05 |
| Working for COVID-19 wards | 2.9 | 1.5–5.6 | <0.01 |
| Booster vaccination | 0.7 | 0.2–2.4 | n.s |
| Male | 0.95 | 0.5–1.9 | ns |
| Nurse | 1.8 | 0.97–3.4 | ns |
aOR: adjusted odds ratio, CI: confidence interval.
Fig. 2Kaplan-Meier curve analysis of COVID-19 after booster vaccination
COVID-19 incidence was analyzed by Kaplan-Meyer curve. Four factors were analyzed.
There were significant differences in working at COVID-19 wards, nurse and age, but there was no significant difference in booster vaccinations.