| Literature DB >> 34416193 |
Shabir A Madhi1, Anthonet L Koen2, Alane Izu3, Lee Fairlie4, Clare L Cutland5, Vicky Baillie2, Sherman D Padayachee6, Keertan Dheda7, Shaun L Barnabas8, Qasim Ebrahim Bhorat9, Carmen Briner10, Parvinder K Aley11, Sutika Bhikha2, Tandile Hermanus12, Elizea Horne13, Aylin Jose2, Prudence Kgagudi12, Teresa Lambe14, Masebole Masenya13, Mduduzi Masilela6, Nonhlanhla Mkhize12, Andrew Moultrie2, Christian K Mukendi2, Thandeka Moyo-Gwete12, Amit J Nana2, Ayanda Nzimande2, Faeezah Patel13, Sarah Rhead11, Carol Taoushanis2, Asha Thombrayil2, Samuel van Eck13, Merryn Voysey11, Tonya L Villafana15, Johan Vekemans15, Sarah C Gilbert14, Andrew J Pollard11, Penny L Moore12, Gaurav Kwatra3.
Abstract
BACKGROUND: People living with HIV are at an increased risk of fatal outcome when admitted to hospital for severe COVID-19 compared with HIV-negative individuals. We aimed to assess safety and immunogenicity of the ChAdOx1 nCoV-19 (AZD1222) vaccine in people with HIV and HIV-negative individuals in South Africa.Entities:
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Year: 2021 PMID: 34416193 PMCID: PMC8372504 DOI: 10.1016/S2352-3018(21)00157-0
Source DB: PubMed Journal: Lancet HIV ISSN: 2352-3018 Impact factor: 12.767
Figure 1Study profile, stratified by SARS-CoV-2 serostatus
27 participants (21 HIV-negative people and six people with HIV) were excluded from this interim analysis because of a positive SARS-CoV-2 PCR test within the trial period. Three participants were excluded from the immunogenicity analysis owing to an absence of baseline serology. 12 participants (one withdrawn and 11 positive SARS-CoV-2 PCR tests) did not receive a booster dose. Three participants were excluded from analysis at day 42 as they were lost to follow-up. FLS=full length spike. RBD=receptor-binding domain. *One or more samples were not determined due to insufficient sample volume, haemolysis, or sample not collected.
Baseline demographics
| Overall (n=58) | Placebo (n=29) | Vaccine (n=29) | Overall (n=103) | Placebo (n=51) | Vaccine (n=52) | |||
|---|---|---|---|---|---|---|---|---|
| Median (IQR) age, years | 37 (31–44) | 32 (25–42) | 31 (26–42) | 34 (23–41) | 40 (33–46) | 41 (36–46) | 37 (32–45) | |
| Sex | ||||||||
| Female | 98 (61%) | 22 (38%) | 10 (34%) | 12 (41%) | 76 (74%) | 40 (78%) | 36 (69%) | |
| Male | 63 (39%) | 36 (62%) | 19 (66%) | 17 (59%) | 27 (26%) | 11 (22%) | 16 (31%) | |
| Race | ||||||||
| Black | 160 (99%) | 58 (100%) | 29 (100%) | 29 (100%) | 102 (99%) | 51 (100%) | 51 (98%) | |
| White | 1 (1%) | 0 | 0 | 0 | 1 (1%) | 0 | 1 (2%) | |
| Body-mass index, kg/m2 | ||||||||
| <18 | 12 (8%) | 7 (12%) | 4 (14%) | 3 (10%) | 5 (5%) | 1 (2%) | 4 (8%) | |
| 18–24·9 | 68 (42%) | 26 (45%) | 15 (52%) | 11 (38%) | 42 (41%) | 18 (35%) | 24 (46%) | |
| 25–29·9 | 46 (29%) | 13 (22%) | 4 (14%) | 9 (31%) | 33 (32%) | 16 (31%) | 17 (33%) | |
| 30–39·9 | 35 (22%) | 12 (21%) | 6 (21%) | 6 (21%) | 23 (22%) | 16 (31%) | 7 (14%) | |
| Current smoker | 61 (38%) | 27 (47%) | 12 (41%) | 15 (52%) | 34 (33%) | 16 (31%) | 18 (35%) | |
| Current alcohol drinker | 72 (45%) | 25 (43%) | 13 (45%) | 12 (41%) | 47 (46%) | 21 (41%) | 26 (50%) | |
| Health-care worker | 3 (2%) | 1 (2%) | 1 (3%) | 0 | 2 (2%) | 1 (2%) | 1 (2%) | |
| Hypertension | 12 (8%) | 1 (2%) | 0 | 1 (3%) | 11 (11%) | 7 (14%) | 4 (8%) | |
| Chronic respiratory disease | 16 (10%) | 0 | 0 | 0 | 16 (16%) | 10 (20%) | 6 (12%) | |
| HbA1c | ||||||||
| Low | 12 (8%) | 2 (3%) | 0 | 2 (7%) | 10 (10%) | 5 (10%) | 5 (10%) | |
| Normal | 145 (90%) | 53 (91%) | 26 (90%) | 27 (93%) | 92 (89%) | 46 (90%) | 46 (89%) | |
| High | 4 (3%) | 3 (5%) | 3 (10%) | 0 | 1 (1%) | 0 | 1 (2%) | |
| ART use | ||||||||
| NNRTI and two NRTIs | NA | NA | NA | NA | 57 (76%) | 29 (74%) | 28 (78%) | |
| INSTI and two NRTIs | NA | NA | NA | NA | 11 (15%) | 5 (13%) | 6 (17%) | |
| Boosted PI and one NRTI | NA | NA | NA | NA | 4 (5%) | 3 (8%) | 1 (3%) | |
| Boosted PI and two NRTIs | NA | NA | NA | NA | 3 (4%) | 2 (5%) | 1 (3%) | |
| Years on ART | ||||||||
| <1 | NA | NA | NA | NA | 9 (12%) | 4 (10%) | 5 (14%) | |
| 1 to <5 | NA | NA | NA | NA | 28 (37%) | 12 (31%) | 16 (44%) | |
| ≥5 | NA | NA | NA | NA | 38 (51%) | 23 (59%) | 15 (42%) | |
| Median (IQR) CD4 count, cells per μL | NA | NA | NA | NA | 695 (512–929) | 677 (500–889) | 742 (540–953) | |
| Median (IQR) CD4 percentage | NA | NA | NA | NA | 36 (30–41) | 36 (29–41) | 37 (32–41) | |
| Viral load <50 copies per mL | 27 (75%) | NA | NA | NA | 27 (75%) | 18 (82%) | 9 (64%) | |
| Median (IQR) time between doses, days | 28 (27–28) | 28 (28–28) | 28 (28–28) | 28 (28–28) | 28 (25–28) | 28 (26–28) | 28 (23–28) | |
| Median (IQR) time post-boost, days | 14 (14–14) | 14 (14–15) | 14 (14–14) | 14 (14–15) | 14 (14–14) | 14 (14–14) | 14 (14–14) | |
Data are n (%) unless otherwise stated. Data exclude patients who were SARS-CoV-2 seropositive at baseline and include patients with no baseline serology available. ART=antiretroviral therapy. HbA1c=glycated haemoglobin. INSTI=integrase strand transfer inhibitor. NA=not applicable. NNRTI=non-nucleoside reverse transcriptase inhibitor. NRTI=nucleoside or nucleotide reverse transcriptase inhibitors. PI=protease inhibitors.
Most participants (75%) were receiving an efavirenz-based regimen, 15% were receiving a dolutegravir-based regimen with two NRTIs (tenofovir and lamivudine or emtricitabine), and one participant received zidovidine and lamivudine. The remaining participants received a boosted protease inhibitor-based regimen, either lopinavir plus ritonavir or atazanavir plus ritonavir, with either one or two NRTIs, including lamivudine, zidovudine, abacavir, or tenofovir.
Figure 2Solicited local and systemic adverse reactions in the 7 days after priming and booster doses of ChAdOx1 nCoV-19
Day 0 is the day of the priming dose. The severity of adverse events was graded as mild, moderate, or severe.
Figure 3Immunogenicity to SARS-CoV-2 full-length spike and receptor-binding domain proteins
Analyses stratified by HIV status (A) and by SARS-CoV-2 serostatus (B) at baseline in people with HIV. Antibody responses assessed at day 0 (baseline), day 28 (post-priming dose), and day 42 (14 days post-booster dose). Boxes denote interquartile ranges and horizontal bars denote median antibody concentration in BAU/mL. BAU=binding antibody unit.
Figure 4Correlation of plasma IgG antibody binding to Wuhan-1 Asp614Gly wild-type vs beta (B.1.351) full-length spike protein in vaccine recipients
Analyses stratified by day and HIV status. OD=optical density.
Figure 5Pseudovirus neutralisation responses to Wuhan-1 Asp614Gly wild-type on day 42 in vaccinees
Samples below the limit of detection are not shown. Boxes denote interquartile ranges, and horizontal bars denote neutralisation ID50. ID50=inhibitory dilution (50%). RBD=receptor-binding domain.