| Literature DB >> 35367003 |
Akash Khobragade1, Suresh Bhate2, Vijendra Ramaiah3, Shrikant Deshpande4, Krishna Giri5, Himanshu Phophle6, Pravin Supe7, Inderjeet Godara8, Ramesh Revanna9, Rajnish Nagarkar10, Jayesh Sanmukhani11, Ayan Dey12, T M Chozhavel Rajanathan12, Kevinkumar Kansagra13, Parshottam Koradia14.
Abstract
BACKGROUND: ZyCoV-D, a DNA-based vaccine, showed promising safety and immunogenicity in a phase 1/2 trial. We now report the interim efficacy results of phase 3 clinical trial with ZyCoV-D vaccine in India.Entities:
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Year: 2022 PMID: 35367003 PMCID: PMC8970574 DOI: 10.1016/S0140-6736(22)00151-9
Source DB: PubMed Journal: Lancet ISSN: 0140-6736 Impact factor: 79.321
Figure 1Trial profile
Summary of demographics and baseline characteristics (safety population)
| Mean (SD) | 36·4 (13·83) | 36·6 (13·76) | 36·5 (13·79) |
| Median (range) | 35·0 (12·00–88·00) | 35·0 (12·00–87·00) | 35·0 (12·00–88·00) |
| 12 to 17 | 448 (3·23) | 487 (3·52) | 935 (3·38) |
| 18 to <60 | 12 364 (89·26) | 12 338 (89·07) | 24 702 (89·17) |
| ≥60 | 1039 (7·50) | 1027 (7·41) | 2066 (7·46) |
| Female | 4506 (32·53%) | 4605 (33·24%) | 9111 (32·89%) |
| Male | 9345 (67·47%) | 9247 (66·76%) | 18 592 (67·11%) |
| No | NA | 2 (0·01%) | 2 (0·01%) |
| Yes | 12 043 (86·95%) | 12 020 (86·77%) | 24 063 (86·86%) |
| Missing | 1808 (13·05%) | 1803 (13·21%) | 3638 (13·13%) |
| Absent | 10 136 (73·18%) | 10 145 (73·24%) | 20 281 (73·21%) |
| Present | 1862 (13·44%) | 1846 (13·33%) | 3708 (13·38%) |
| Missing | 45 (0·32%) | 29 (0·21%) | 74 (0·27%) |
| No | 13 142 (94·88%) | 13 112 (94·66) | 26 254 (94·77) |
| Yes | 709 (5·12%) | 740 (5·34) | 1449 (5·23) |
| Stable chronic heart disease | 167 (1·21%) | 155 (1·12%) | 322 (1·16%) |
| Stable chronic lung disease | 13 (0·09%) | 7 (0·05%) | 20 (0·07%) |
| Controlled diabetic | 275 (1·99%) | 289 (2·09%) | 564 (2·04%) |
| Stable liver disease | 2 (0·01%) | 3 (0·02%) | 5 (0·02%) |
| Severe obesity | 18 (0·13%) | 14 (0·10%) | 32 (0·12%) |
| Other stable comorbidity | 295 (2·13%) | 293 (2·12%) | 588 (2·12%) |
Data are mean (SD), median (range), or n (%). NA=not applicable.
Figure 2IgG comparison of geometric mean titre of ZyCoV-D and placebo at days 0, 56, and 84
Analysis of antibody titre (immunogenicity population)
| GMT (95% CI) | 7 (7·00–7·00) | 7 (7·00–7·00) |
| GMT (95% CI) | 407·58 (266·73–622·83) | 57·97 (36·10–93·07) |
| GMFR (95% CI) | 58·23 (38·10–88·98) | 8·28 (5·16–13·30) |
| GMT (95% CI) | 952·67 (707·94–1282·00) | 154·82 (91·25–262·70) |
| GMFR (95% CI) | 136·10 (101·13–183·14) | 22·12 (13·04–37·53) |
GMT=geometric mean titre. GMFR=geometric mean fold rise.
Figure 3NAB(PRNT50) comparison of geometric mean titre of ZyCoV-D and placebo at days 0, 56, and 84
Summary and comparison of seroconversion of neutralising antibodies (immunogenicity population)
| No | 6 (12·00%) | 27 (57·45%) | .. |
| Yes | 44 (88·00%) | 20 (42·55%) | <0·0001 |
| No | 12 (24·00%) | 25 (53·19%) | .. |
| Yes | 38 (76·00%) | 22 (46·81)% | 0·0031 |
Data are n (%). GMT=geometric mean titre. GMFR=geometric mean fold rise. Day-wise comparison of proportion of participants, with seroconversion rate based on IgG antibodies as compared with baseline, between ZyCov-D and placebo is evaluated using χ2 test. Significant p value (<0·05) indicates that there is a significant difference between ZyCov-D and placebo based on proportion of participants with seroconversion rate.
Analysis of neutralising antibodies (PRNT50; immunogenicity population)
| GMT (95% CI) | 5·00 (5·00–5·00) | 5·00 (5·00–5·00) |
| GMT (95% CI) | 83·10 (50·70–136·20) | 28·64 (15·32–53·53) |
| GMFR (95% CI) | 16·62 (10·14–27·24) | 5·73 (3·06–10·71) |
| GMT (95% CI) | 133·39 (86·88–204·81) | 26·99 (14·48–50·32) |
| GMFR (95% CI) | 26·68 (17·38–40·96) | 5·40 (2·90–10·06) |
GMT=geometric mean titre. GMFR=geometric mean fold rise.
Figure 4Cellular response (IFN-γ) to ZyCoV-D and placebo at days 0, 56, and 84
PBMC=peripheral blood mononuclear cells.