| Literature DB >> 34774197 |
Rajeka Lazarus1, Sarah Baos2, Heike Cappel-Porter2, Andrew Carson-Stevens3, Madeleine Clout2, Lucy Culliford2, Stevan R Emmett4, Jonathan Garstang5, Lukuman Gbadamoshi4, Bassam Hallis6, Rosie A Harris2, David Hutton2, Nick Jacobsen7, Katherine Joyce2, Rachel Kaminski8, Vincenzo Libri9, Alex Middleditch10, Liz McCullagh10, Ed Moran11, Adrian Phillipson12, Elizabeth Price13, John Ryan14, Russell Thirard2, Rachel Todd2, Matthew D Snape15, David Tucker16, Rachel Lauren Williams11, Jonathan S Nguyen-Van-Tam17, Adam Finn18, Chris A Rogers2.
Abstract
BACKGROUND: Concomitant administration of COVID-19 and influenza vaccines could reduce burden on health-care systems. We aimed to assess the safety of concomitant administration of ChAdOx1 or BNT162b2 plus an age-appropriate influenza vaccine.Entities:
Mesh:
Substances:
Year: 2021 PMID: 34774197 PMCID: PMC8585490 DOI: 10.1016/S0140-6736(21)02329-1
Source DB: PubMed Journal: Lancet ISSN: 0140-6736 Impact factor: 79.321
Figure 1Trial profile
Placebo first indicates that COVID-19 vaccine alone was received at day 0. Influenza first indicates that concomitant COVID-19 and influenza vaccines were received at day 0. *Pre-screening questionnaire data were not available for one site that recruited three participants. †Ineligible on initial screening, unavailable on planned clinic dates, unable to contact, or cohort complete.
Participant demographics
| Placebo first (n=64) | Flu first (n=65) | Placebo first (n=71) | Flu first (n=68) | Placebo first (n=73) | Flu first (n=73) | Placebo first (n=38) | Flu first (n=41) | Placebo first (n=64) | Flu first (n=64) | Placebo first (n=29) | Flu first (n=29) | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Age at screening, years | 54 (43–61) | 52 (40–57) | 47 (34–58) | 48 (35–60) | 71 (69–72) | 69 (67–72) | 68 (67–70) | 68 (67–70) | 52 (44–60) | 56 (51–60) | 39 (33–47) | 42 (31–53) | |
| Sex | |||||||||||||
| Female | 38 (59%) | 43 (66%) | 48 (68%) | 51 (75%) | 31 (42%) | 44 (60%) | 14 (37%) | 24 (59%) | 37 (58%) | 34 (53%) | 15 (52%) | 18 (62%) | |
| Male | 26 (41%) | 22 (34%) | 23 (32%) | 17 (25%) | 42 (58%) | 29 (40%) | 24 (63%) | 17 (41%) | 27 (42%) | 30 (47%) | 14 (48%) | 11 (38%) | |
| Body-mass index, kg/m2 | 27 (24–29) | 28 (25–35) | 27 (23–34) | 27 (24–31) | 27 (24–30) | 28 (26–32) | 28 (25–31) | 28 (26–31) | 29 (24–33) | 31 (26–37) | 26 (23–29) | 27 (25–29) | |
| Ethnicity | |||||||||||||
| English, Welsh, Scottish, Northern Irish, or British | 57 (89%) | 54 (83%) | 65 (92%) | 60 (88%) | 70 (96%) | 71 (97%) | 38 (100%) | 39 (95%) | 59 (92%) | 64 (100%) | 25 (86%) | 25 (86%) | |
| White Irish | 2 (3%) | 2 (3%) | 2 (3%) | 0 | 1 (1%) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Any other White background | 3 (5%) | 2 (3%) | 2 (3%) | 3 (4%) | 1 (1%) | 1 (1%) | 0 | 2 (5%) | 1 (2%) | 0 | 2 (7%) | 3 (10%) | |
| White and Asian | 0 | 1 (2%) | 0 | 0 | 0 | 0 | 0 | 0 | 1 (2%) | 0 | 0 | 0 | |
| Any other mixed or multiple ethnic background | 0 | 3 (5%) | 1 (1%) | 2 (3%) | 1 (1%) | 1 (1%) | 0 | 0 | 0 | 0 | 0 | 0 | |
| Indian | 1 (2%) | 3 (5%) | 0 | 2 (3%) | 0 | 0 | 0 | 0 | 0 | 0 | 1 (3%) | 1 (3%) | |
| Pakistani | 1 (2%) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 (2%) | 0 | 0 | 0 | |
| Chinese | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 (2%) | 0 | 0 | 0 | |
| Any other ethnic group | 0 | 0 | 0 | 1 (1%) | 0 | 0 | 0 | 0 | 1 (2%) | 0 | 1 (3%) | 0 | |
| Prefer not to give | 0 | 0 | 1 (1%) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Occupation | |||||||||||||
| Employed—health-care worker | 15 (23%) | 18 (28%) | 19 (27%) | 21 (31%) | 0 | 0 | 1 (3%) | 0 | 3 (5%) | 3 (5%) | 5 (17%) | 1 (3%) | |
| Employed— other | 30 (47%) | 34 (52%) | 35 (49%) | 33 (49%) | 4 (5%) | 6 (8%) | 7 (18%) | 4 (10%) | 39 (61%) | 43 (67%) | 18 (62%) | 22 (76%) | |
| Unemployed | 4 (6%) | 3 (5%) | 3 (4%) | 2 (3%) | 0 | 0 | 1 (3%) | 0 | 3 (5%) | 3 (5%) | 3 (10%) | 2 (7%) | |
| Student | 2 (3%) | 0 | 4 (6%) | 3 (4%) | 0 | 0 | 0 | 0 | 5 (8%) | 0 | 2 (7%) | 2 (7%) | |
| Retired | 13 (20%) | 10 (15%) | 10 (14%) | 9 (13%) | 69 (95%) | 67 (92%) | 29 (76%) | 37 (90%) | 14 (22%) | 15 (23%) | 1 (3%) | 2 (7%) | |
| Participant received influenza vaccination in winter 2020–21 programme | 48 (75%) | 48 (74%) | 52 (73%) | 55 (81%) | 72 (99%) | 70 (96%) | 35 (92%) | 40 (98%) | 41 (64%) | 52 (81%) | 22 (76%) | 13 (45%) | |
Data are median (IQR) or n (%). Placebo first indicates that COVID-19 vaccine alone was received at day 0. Flu first indicates that concomitant COVID-19 and influenza vaccines were received at day 0.
Figure 2Participants reporting one or more solicited systemic adverse reactions in the 7 days after second COVID vaccination plus influenza vaccination or placebo—complete case analysis
Placebo first indicates that COVID-19 vaccine alone was received at day 0. Influenza first indicates that concomitant COVID-19 and influenza vaccines were received at day 0. QIVc=cellular quadrivalent vaccine. ITT=intention to treat. aTIV=MF59C adjuvanted, trivalent vaccine. QIVr=recombinant quadrivalent vaccine.
Figure 3Anti-spike immunoglobulin geometric mean titre ratio between COVID-19 vaccine given with or without influenza vaccine
Placebo first indicates that COVID-19 vaccine alone was received at day 0. Influenza first indicates that concomitant COVID-19 and influenza vaccines were received at day 0. QIVc=cellular quadrivalent vaccine. aTIV=MF59C adjuvanted, trivalent vaccine. QIVr=recombinant quadrivalent vaccine.
Figure 4Haemagglutination inhibition influenza geometric mean ratios
Placebo first indicates that COVID-19 vaccine alone was received at day 0. Influenza first indicates that concomitant COVID-19 and influenza vaccines were received at day 0. QIVc=cellular quadrivalent vaccine. aTIV=MF59C adjuvanted, trivalent vaccine. QIVr=recombinant quadrivalent vaccine.