Literature DB >> 35234883

Effectiveness of Ad26.COV2.S Vaccine vs BNT162b2 Vaccine for COVID-19 Hospitalizations.

Jérémie Botton1, Laura Semenzato1, Marie-Joëlle Jabagi1, Bérangère Baricault1, Alain Weill1, Rosemary Dray-Spira1, Mahmoud Zureik1.   

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Year:  2022        PMID: 35234883      PMCID: PMC8892225          DOI: 10.1001/jamanetworkopen.2022.0868

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


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Introduction

Although the Ad26.COV2.S vaccine (Janssen) showed an efficacy of 85.4% against severe and critical COVID-19 in the pivotal trial,[1] its effectiveness in the general population against COVID-19 hospitalization was estimated to be approximately 68%,[2,3] compared with approximately 90% for mRNA vaccines.[4] However, to date, the effectiveness of Ad26.COV2.S has not been compared with that of other COVID-19 vaccines. In France, the Ad26.COV2.S vaccine was used from April 24, 2021, in people aged 55 years or older, whereas the BNT162b2 mRNA vaccine (Pfizer-BioNTech) was the most widely administered (78% of first doses). As of the end of July 2021, 19 million people aged 55 years or older (84% of the population in that age group) were partially or fully vaccinated. In this comparative effectiveness research study, we compare the effectiveness of full vaccination with Ad26.COV2.S vs BNT162b2 against COVID-19–related hospitalization.

Methods

The research group has permanent regulatory access to the anonymized data from the French National Health Data System (French decree No. 2016-1871, French law articles Art. R. 1461-13/14, French data protection authority decision CNIL-2016-316). Thus, no informed consent or specific approval by an ethics committee was required. This report follows the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) reporting guideline for comparative effectiveness research. On the basis of the French National Health Data System[5] (see the eAppendix in the Supplement), we constructed a matched cohort of participants aged 55 years or older vaccinated with either Ad26.COV2.S or BNT162b2 between April 24, 2021, and July 31, 2021 (ie, 99 days). Participants of the 2 groups were individually matched according to age, sex, area of residence (100 areas) and date of full vaccination (first dose for Ad26.COV2.S, second dose for BNT162b2). Each participant was followed from the date of injection (day 0) or day 14 or day 28 (time of full effectiveness) until hospitalization for COVID-19 (outcome), death, or the end of follow-up on August 31, 2021, whichever occurred first. The COVID-19 hospitalization rate was compared between the 2 groups using inverse probability of treatment weighted Cox models. Data were analyzed using SAS statistical software version 9.4 (SAS Institute).

Results

The cohort included 689 275 participants vaccinated with Ad26.COV2.S (94% of all individuals of this age category vaccinated with Ad26.COV2.S) and 689 275 participants vaccinated with BNT162b2. The mean (SD) age was 65.8 (9.0) years, and 341 490 participants in each group (49.5%) were women. The 2 groups were similar in terms of socioeconomic and health characteristics (Table 1). During a median (IQR) follow-up of 54 (22-74) days from day 28 after injection, 129 COVID-19–related hospitalizations occurred in participants vaccinated with Ad26.COV2.S, and 23 hospitalizations occurred in those vaccinated with BNT162b2. The risk of hospitalization for COVID-19 from day 28 after injection was 5.2 times higher in individuals vaccinated with Ad26.COV2.S compared with those vaccinated with BNT162b2 (adjusted hazard ratio, 5.2; 95% CI, 3.4-7.9) (Table 2). On the basis of these results and according to an effectiveness of BNT162b2 of 92% (95% CI, 90%-94%) estimated from the same data set,[6] we obtained an absolute effectiveness of Ad26.COV2.S of 59% (95% CI, 33%-75%).
Table 1.

Characteristics of the Study Population at the Index Date, by Vaccine Received

Baseline characteristicsParticipants, No. (%)Standardized difference
Pfizer (n = 689 275)Janssen (n = 689 275)
Age, mean (SD), y65.8 (9.0)65.8 (9.0)0.00
Age range, y
55-59203 666 (29.5)203 666 (29.5)0.00
60-64165 888 (24.1)165 888 (24.1)
65-69129 310 (18.8)129 310 (18.8)
70-7485 465 (12.4)85 465 (12.4)
75-7938 676 (5.6)38 676 (5.6)
80-8427 089 (3.9)27 089 (3.9)
85-8922 894 (3.3)22 894 (3.3)
≥9016 287 (2.4)16 287 (2.4)
Sex
Female341 490 (49.5)341 490 (49.5)0.00
Male347 785 (50.5)347 785 (50.5)
Administrative regions
Auvergne-Rhône Alpes70 286 (10.2)70 286 (10.2)0.00
Bourgogne Franche Comté31 072 (4.5)31 072 (4.5)
Bretagne46 299 (6.7)46 299 (6.7)
Centre-Val de Loire33 181 (4.8)33 181 (4.8)
Corse1322 (0.2)1322 (0.2)
Grand Est57 914 (8.4)57 914 (8.4)
Guadeloupe121 (<0.1)121 (<0.1)
Guyane29 (<0.1)29 (<0.1)
Hauts de France67 759 (9.8)67 759 (9.8)
Ile de France77 758 (11.3)77 758 (11.3)
La Réunion9816 (1.4)9816 (1.4)
Martinique602 (0.1)602 (0.1)
Mayotte10 (<0.1)10 (<0.1)
Normandie42 934 (6.2)42 934 (6.2)
Nouvelle Aquitaine85 172 (12.4)85 172 (12.4)
Occitanie68 557 (9.9)68 557 (9.9)
Pays de Loire46 019 (6.7)46 019 (6.7)
Provence Alpes Cote50 424 (7.3)50 424 (7.3)
Index of deprivation (quintiles)
1 (less deprived)111 954 (16.2)103 143 (15.0)0.05
2130 654 (19.0)125 758 (18.2)
3140 763 (20.4)141 421 (20.5)
4149 910 (21.7)154 981 (22.5)
5 (more deprived)143 485 (20.8)151 430 (22.0)
Unknown12 509 (1.8)12 542 (1.8)
Influenza vaccination in 2018 or 2019
No575 478 (83.5)595 934 (86.5)−0.08
Yes113 797 (16.5)93 341 (13.5)
Frailty
No655 054 (95.0)647 004 (93.9)0.05
Yes34 221 (5.0)42 271 (6.1)
Addiction to alcohol
No678 987 (98.5)670 557 (97.3)0.09
Yes10 288 (1.5)18 718 (2.7)
Addiction to tobacco smoking
No652 205 (94.6)644 552 (93.5)0.05
Yes37 070 (5.4)44 723 (6.5)
Hypertension
No431 663 (62.6)434 557 (63.0)−0.01
Yes257 612 (37.4)254 718 (37.0)
Diabetes
No611 466 (88.7)604 658 (87.7)0.03
Yes77 809 (11.3)84 617 (12.3)
Dyslipidemia
No539 301 (78.2)546 973 (79.4)−0.03
Yes149 974 (21.8)142 302 (20.6)
Obesity
No678 705 (98.5)678 452 (98.4)0.00
Yes10 570 (1.5)10 823 (1.6)
Coronary diseases
No646 997 (93.9)651 528 (94.5)−0.03
Yes42 278 (6.1)37 747 (5.5)
Heart failure
No677 681 (98.3)676 259 (98.1)0.02
Yes11 594 (1.7)13 016 (1.9)
Cardiac rhythm or conduction disturbances
No662 974 (96.2)664 891 (96.5)−0.01
Yes26 301 (3.8)24 384 (3.5)
Valvular diseases
No678 088 (98.4)679 521 (98.6)−0.02
Yes11 187 (1.6)9754 (1.4)
Obliterating arterial disease of the lower limb
No676 328 (98.1)674 289 (97.8)0.02
Yes12 947 (1.9)14 986 (2.2)
Stroke
No673 133 (97.7)673 422 (97.7)0.00
Yes16 142 (2.3)15 853 (2.3)
Pulmonary embolism
No686 537 (99.6)687 242 (99.7)−0.02
Yes2738 (0.4)2033 (0.3)
Chronic respiratory diseases (excluding cystic fibrosis)
No643 123 (93.3)641 582 (93.1)0.01
Yes46 152 (6.7)47 693 (6.9)
Long-term dialysis
No688 913 (99.9)689 163 (100)−0.02
Yes362 (0.1)112 (<0.1)
Kidney transplant
No688 626 (99.9)689 192 (100)−0.04
Yes649 (0.1)83 (<0.1)
Liver diseases
No682 503 (99.0)681 875 (98.9)0.01
Yes6772 (1.0)7400 (1.1)
Active cancers
No667 567 (96.9)674 000 (97.8)−0.06
Yes21 708 (3.1)15 275 (2.2)
Neurotic and mood disorders, use of antidepressant treatments
No617 809 (89.6)610 159 (88.5)0.04
Yes71 466 (10.4)79 116 (11.5)
Psychotic disorders, use of neuroleptics treatments
No680 647 (98.7)675 353 (98.0)0.06
Yes8628 (1.3)13 922 (2.0)
Dementias (including Alzheimer disease)
No683 401 (99.1)682 000 (98.9)0.02
Yes5874 (0.9)7275 (1.1)
Epilepsy
No685 812 (99.5)685 027 (99.4)0.02
Yes3463 (0.5)4248 (0.6)
Parkinson disease
No683 236 (99.1)681 850 (98.9)0.02
Yes6039 (0.9)7425 (1.1)
Chronic inflammatory bowel diseases
No685 482 (99.4)686 773 (99.6)−0.03
Yes3793 (0.6)2502 (0.4)
Rheumatoid arthritis and related diseases
No683 125 (99.1)685 008 (99.4)−0.03
Yes6150 (0.9)4267 (0.6)
Ankylosing spondylitis and related diseases
No685 396 (99.4)686 689 (99.6)−0.03
Yes3879 (0.6)2586 (0.4)
Table 2.

Comparison of Ad26.COV2.S and BNT162b2 Vaccines in Terms of Risk of Hospitalization for COVID-19 in France

Follow-up intervals and vaccineParticipants, No.Events, No. (%)Follow-up, median (IQR), dHR (95% CI)a
CrudeAdjusted
Day 0 to the end of follow-up
BNT162b2689 27549 (0.01)82 (50-101)1 [Reference]1 [Reference]
Ad26.COV2.S689 275285 (0.04)82 (49-101)5.82 (4.30-7.88)5.51 (4.11-7.40)
Day 14 to the end of follow-up
BNT162b2688 86128 (0.00)68 (36-88)1 [Reference]1 [Reference]
Ad26.COV2.S688 861203 (0.03)68 (36-87)7.26 (4.89-10.77)6.70 (4.59-9.75)
Day 28 to the end of follow-up
BNT162b2688 26323 (0.00)54 (22-74)1 [Reference]1 [Reference]
Ad26.COV2.S688 263129 (0.02)54 (22-74)5.61 (3.60-8.75)5.16 (3.39-7.85)

Abbreviation: HR, hazard ratio.

HRs were obtained from inverse probability of treatment weighted Cox models taking into account all the variables described in Table 1.

Abbreviation: HR, hazard ratio. HRs were obtained from inverse probability of treatment weighted Cox models taking into account all the variables described in Table 1.

Discussion

This comparative effectiveness research study, which, to our knowledge, is the largest estimating effectiveness of Ad26.COV2.S in the general population, included almost the entire population aged 55 years or older vaccinated with Ad26.COV2.S in France. Considering the high rate of vaccination uptake in this population, using an active comparator was more relevant than considering unvaccinated individuals as controls. The risk of severe COVID–19 related hospitalization after vaccination was approximately 5 times higher with Ad26.COV2.S than with BNT162b2. On the basis of these results and an effectiveness of BNT162b2 of 92% (95% CI, 90%-94%) estimated from the same data set,[6] we obtained an absolute effectiveness of Ad26.COV2.S of 59% (95% CI, 33%-75%). This finding is consistent with previous estimates of smaller populations and using test-negative or case-control designs.[2,3] A limitation of this study is that, although the 2 vaccine groups were matched on vaccination day, age, sex, and area of residence and the associations were adjusted for a large number of covariables, we cannot completely exclude residual confounding. Using the active BNT162b2 vaccine comparator likely lowered this potential bias compared with using an unvaccinated group. The slightly higher risk estimates from day 0 or 14 are likely associated with partial protection by the first dose of BNT162b2 combined with delayed protection of Ad26.COV2.S immediately in the days after injection.

Conclusions

This study found that the Ad26.COV2.S vaccine is less effective against COVID-19–related hospitalization than the BNT162b2 vaccine. These results strengthen the evidence supporting a second dose in people who received the Ad26.COV2.S vaccine by an mRNA vaccine as recommended in both France and the US.
  5 in total

1.  Chronic diseases, health conditions and risk of COVID-19-related hospitalization and in-hospital mortality during the first wave of the epidemic in France: a cohort study of 66 million people.

Authors:  Laura Semenzato; Jérémie Botton; Jérôme Drouin; François Cuenot; Rosemary Dray-Spira; Alain Weill; Mahmoud Zureik
Journal:  Lancet Reg Health Eur       Date:  2021-07-16

2.  Safety and Efficacy of Single-Dose Ad26.COV2.S Vaccine against Covid-19.

Authors:  Jerald Sadoff; Glenda Gray; An Vandebosch; Vicky Cárdenas; Georgi Shukarev; Beatriz Grinsztejn; Paul A Goepfert; Carla Truyers; Hein Fennema; Bart Spiessens; Kim Offergeld; Gert Scheper; Kimberly L Taylor; Merlin L Robb; John Treanor; Dan H Barouch; Jeffrey Stoddard; Martin F Ryser; Mary A Marovich; Kathleen M Neuzil; Lawrence Corey; Nancy Cauwenberghs; Tamzin Tanner; Karin Hardt; Javier Ruiz-Guiñazú; Mathieu Le Gars; Hanneke Schuitemaker; Johan Van Hoof; Frank Struyf; Macaya Douoguih
Journal:  N Engl J Med       Date:  2021-04-21       Impact factor: 176.079

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Journal:  JAMA Netw Open       Date:  2021-11-01
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Journal:  Lancet Reg Health Eur       Date:  2022-06-30

2.  Antibody evolution to SARS-CoV-2 after single-dose Ad26.COV2.S vaccine in humans.

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Journal:  J Exp Med       Date:  2022-07-01       Impact factor: 17.579

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Journal:  Front Pharmacol       Date:  2022-07-26       Impact factor: 5.988

4.  Vaccine effectiveness against severe COVID-19 outcomes within the French overseas territories: A cohort study of 2-doses vaccinated individuals matched to unvaccinated ones followed up until September 2021 and based on the National Health Data System.

Authors:  Laura Semenzato; Jérémie Botton; Bérangère Baricault; Jacqueline Deloumeaux; Clarisse Joachim; Emmanuelle Sylvestre; Rosemary Dray-Spira; Alain Weill; Mahmoud Zureik
Journal:  PLoS One       Date:  2022-09-09       Impact factor: 3.752

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