| Literature DB >> 34619430 |
Raju Vaishya1, Anupam Sibal2, Arpita Malani3, Sujoy Kar4, Hari Prasad K5, Kiran Sv6, Sangita Reddy7, Shobana Kamineni8, Suneeta Reddy9, Preetha Reddy10, Prathap Chandra Reddy11.
Abstract
BACKGROUND AND AIMS: During the COVID-19 vaccination program in India, the healthcare workers were given the first priority. There are concerns regarding the occurrence of breakthrough infections after vaccination. We aimed to investigate the effictiveness of COVID-19 vaccines in preventing and reducing the severity of post-vaccination infections.Entities:
Keywords: Break through infections; COVID-19; Healthcare workers; SARS-CoV-2; Vaccine
Mesh:
Substances:
Year: 2021 PMID: 34619430 PMCID: PMC8489275 DOI: 10.1016/j.dsx.2021.102306
Source DB: PubMed Journal: Diabetes Metab Syndr ISSN: 1871-4021
Fig. 1A Forest Plot showing the results of multivariate analysis of the study data.
Demographic details and the statistical analysis of the cases included in this study.
| 28342 | 1438 | 5.07 | – | |
| (4.82–5.34) | ||||
| 0.53 | ||||
| (-0.52–1.41) | ||||
ChAdOx nCOV-19 (Recombinant) | 26375 (93.05%) | 1348 | 5.11 | |
| (4.85–5.38) | 0.3015 | |||
Whole virion inactivated Vero cell | 1967 | 90 | 4.58 | |
| (6.95%) | (3.69–5.59) | |||
| 5125 | 269 | 5.25 | <0.001, Difference- (64.5–67.4%) | |
| (18.08%) | (4.65–5.89), p < 0.001 | |||
| - Within 2weeks | – | 46 | 17.0 | |
| - After 2 weeks | – | 223 | 83.0 | |
| 23217 | 1169 | 5.04 | <0.001, Difference (87.8–88.6%) | |
| (81.92%) | (4.76–5.32), P < 0.001 | |||
| - Within 2 weeks | 69 | 5.9 | ||
| - After 2 weeks | 1100 | 94.1 | ||
| 0.21 | 0.5354 | |||
| (-0.44 to 0.91) | ||||
| 0.48 | ||||
| (-0.32 to 0.99), RR = 1.0995 | ||||
| (0.9941–1.2160) | ||||
Females | 13362 | 712 | 5.33 | |
| (47.14%) | (4.95–5.72) | 0.0661 | ||
Males | 14980 | 726 | 4.85 | |
| (52.86%) | (4.51–5.20) | |||
| 33.04 | 35.73 | – | – | |
a)18-30 | 12767 | 544 | 4.26 | |
31-40 | 9014 | 487 | 5.40 | |
41-50 | 4893 | 267 | 5.46 | <0.001 |
51-60 | 1446 | 111 | 7.68 | |
61-70 | 188 | 26 | 13.83 | |
71-80 | 34 | 3 | 8.82 | |
18-40 | 21781 (76.85%) | 1031 | 4.73 | |
41-60 | 6339 | 378 | 5.96 | <0.001 |
| (22.37%) | ||||
61-80 | 222 | 29 | 13.06 | |
| (0.78%) | ||||
| <0.001 | ||||
a)Southern | 15777 | 899 | 5.70 | |
Central | 589 | 31 | 5.26 | |
Eastern | 6331 | 210 | 3.31 | |
Western | 2694 | 157 | 5.82 | |
Northern | 2951 | 141 | 4.78 | |
a)Nursing | 7760 | 448 | 5.77 | |
Clinical | 2256 | 153 | 6.78 | |
Administration | 5172 | 264 | 5.10 | <0.001 |
Paramedical | 3000 | 140 | 4.67 | |
Support Staff | 10154 | 433 | 4.26 | |
| 28342 | 80 | 0.28 | – | |
| 28342 | 3 | 0.01 | – | |
| 28342 | Nil | – | – | |
Fig. 2Monthly distribution of post-vaccination infections in the study.
Details of the subjects who were admitted to the hospitals for symptomatic post-vaccination infections.
| Number of Post vaccination infections | ||
| Percentage out of total vaccinated population (n = 28432) | 0.28 | 0.01 |
| Percentage out of total post vaccination infections (n = 1438) | 5.56 | 0.21 |
| Age (in years) | Average: 36.1 (Range: 22–70) | Average: 33.67 (Range: 25–48) |
| Sex | ||
| Female | N = 37 | N = 01 |
| Male | N = 43 | N = 02 |
| Category of Staff | ||
| Administrative | 20 | 01 |
| Clinical | 11 | 02 |
| Nursing | 30 | – |
| Paramedical and Supportive | 19 | – |
| Vaccine administered | All (N = 80) | All (N = 03) |
| Type of Vaccine used | ||
| ChAdOx nCOV-19 Recombinant | N = 72 | N = 03 |
| Whole virion inactivated Vero cell | N = 08 | Nil |
| Number of vaccination doses taken, prior to infection | ||
| Single dose | N = 11 | N = 1 |
| Double dose | N = 69 | N = 2 |
| Days to symptomatic post vaccination infections | Average: 54.6 (Range: 02 to 109) | Average: 21.0 (Range: 06–38) |
| Outcome | Good in all | Good in all |
| Mortality | Nil | Nil |
Suggested reasons for the variable incidence of post-vaccination infection in the healthcare workers.
| I) | ||
Virulence of Virus | Variant of Concern are highly virulent mutants and can bypass the immunity | |
| II) | ||
Age profile | Increasing age is a risk factor of acquiring infection and more severe | |
Comorbidities | Medical comorbidities like Respiratory disease, Diabetes, Hypertension, Obesity, Immuno-compromised conditions are identified high risk factors | |
Immunity level | Higher immunity is present in individuals with a history of prior COVID-19 disease, and post vaccination (especially after two weeks of the 2nd dose) | |
Asymptomatic cases | Routine and random testing for SARS-COV-2 infections can pick up asymptomatic infections, which will add to the total number of cases | |
| III) | ||
Number of vaccination | Although some immunity is achieved after the 1st dose of vaccination, a higher degree of protection is achieved after two doses | |
Vaccine efficacy | Most used vaccines globally, have shown high degree of safety, protection and prevention from severe disease in case of post-vaccination infection | |
| IV) | ||
Study period | If the study is done during the period of an ongoing COVID ‘wave’, the incidence would be higher | |
Geographical location | If the study location falls in the area of higher SARS-COV-2 infections, there would be higher rate of infection in the healthcare workers also | |
Type of hospital | A COVID dedicated hospital is likely to have higher incidence of infections in the healthcare workers | |
Single or Multi centre study | A multi-centre study provides more heterogeneous data and better projection of the incidence and outcomes of the infections | |
Sample size | Larger the sample, better inferences can be derived | |