| Literature DB >> 36215392 |
Taoufik Ben Houmich1, Abdelali Tali1, Fayrouz Debbagh1, Asma Lamrani Hanchi1,2, Nabila Soraa1,2.
Abstract
INTRODUCTION: The SARS-CoV-2 pandemic has had a considerable impact, causing millions of deaths worldwide, including many healthcare workers (HCWs). The pharmaceutical industry has been working diligently since the start of the pandemic to develop various vaccines to fight the spread of the virus and protect the population.Entities:
Keywords: COVID-19; Healthcare workers; Protection; Vaccination
Mesh:
Substances:
Year: 2022 PMID: 36215392 PMCID: PMC9558851 DOI: 10.1177/03946320221133697
Source DB: PubMed Journal: Int J Immunopathol Pharmacol ISSN: 0394-6320 Impact factor: 3.298
Main characteristics of participants: the main age group was between 30 and 45 years old, the majority was blood type O+, and the most frequent associated pathology was asthma.
| Total
( | |
|---|---|
| Age | |
| <30 years | 44.0% (59) |
| From 30 to 45 years | 50.8% (68) |
| >45 years | 5.2% (7) |
| Gender | |
| Female | 74.6 (100) |
| Male | 25.4 (34) |
| Blood group | |
| A− | 0.7% (1) |
| A+ | 26.1% (35) |
| AB− | 0.7% (1) |
| AB+ | 5.2% (7) |
| B− | 2.2% (3) |
| B+ | 13.4% (18) |
| O− | 3.0% (4) |
| O+ | 48.5% (65) |
| Medical history | |
| Asthma | 8.2% (11) |
| Obesity | 3.0% (4) |
| Hypothyroidism | 2.2% (3) |
| Tuberculosis | 2.2% (3) |
| Other | 8.9% (12) |
COVID-19 in vaccinated HCW: the number of cases of infection has decreased with vaccination, but the clinical forms do not seem to be modified.
| Clinical forms | Pre-vaccine infection | Post-vaccine infection |
|---|---|---|
| Total ( | Total ( | |
| Asymptomatic | 6 (11.3%) | 1 (2.8%) |
| Mild | 31 (58.5%) | 15 (41.6%) |
| Moderate | 15 (28.3%) | 19 (52.8%) |
| Severe | 1 (1.8%) | 1 (2.8%) |
Neutralizing anti-SARS-CoV-2 median titer and post-vaccine COVID-19 infection in the different vaccine groups: antibody titers are higher in patients vaccinated with Pfizer-BioNTech and in those who received the third dose.
| Vaccine | Total ( | Median titer (AU/mL) | Post-vaccine infection |
|---|---|---|---|
| Oxford/AstraZeneca (2 doses) | 62 (46.3%) | 5374.2 | 25 (40.3%) |
| Sinopharm (2 doses) | 35 (26.1%) | 1459,5 | 1 (2.8%) |
| Pfizer-BioNTech (2 doses) | 8 (6.0%) | 16,542.8 | 0 (0.0%) |
| Janssen (1 dose) | 1 (0.7%) | 52.0 | 0 (0.0%) |
| Moderna (2 doses) | 1 (0.7%) | 40,0 | 1 (100%) |
| Oxford/AstraZeneca+ Pfizer-BioNTech (3 doses) | 11 (8.2%) | 23,835.9 | 3 (27.2%) |
| Oxford/AstraZeneca+ Sinopharm (3 doses) | 16 (11.9%) | 3620.2 | 6 (37.5%) |
Figure 1.Neutralizing anti‐SARS‐CoV‐2 anti-spike antibody titers in the different vaccine groups: the highest antibody titers were found in HCW vaccinated with Pfizer-BioNTech and the lowest in those vaccinated with Sinopharm.
Median antibodies titer in HCW with history of COVID-19: neutralizing antibody titers are higher in HCW with post-vaccination COVID-19 infection.
| COVID-19 history | Median titer (AU/mL) |
|---|---|
| Pre-vaccine infection | |
| Yes | 5727.4 |
| No | 7077.1 |
| Post-vaccine infection | |
| Yes | 11,541.3 |
| No | 4880.9 |
Figure
2.Neutralizing anti‐SARS‐CoV‐2 anti-spike antibody titers in post-vaccine infection group: the antibody titer is proportional to the severity of the post-vaccination COVID-19 episode.