Literature DB >> 35858680

Comparative effectiveness of ChAdOx1 versus BNT162b2 covid-19 vaccines in health and social care workers in England: cohort study using OpenSAFELY.

William J Hulme1, Elizabeth J Williamson2, Amelia C A Green1, Krishnan Bhaskaran2, Helen I McDonald2, Christopher T Rentsch2, Anna Schultze2, John Tazare2, Helen J Curtis1, Alex J Walker1, Laurie A Tomlinson2, Tom Palmer3,4, Elsie M F Horne4,5, Brian MacKenna1, Caroline E Morton1, Amir Mehrkar1, Jessica Morley1, Louis Fisher1, Sebastian C J Bacon1, David Evans1, Peter Inglesby1, George Hickman1, Simon Davy1, Tom Ward1, Richard Croker1, Rosalind M Eggo2, Angel Y S Wong2, Rohini Mathur2, Kevin Wing2, Harriet Forbes2, Daniel J Grint2, Ian J Douglas2, Stephen J W Evans2, Liam Smeeth2, Chris Bates6, Jonathan Cockburn6, John Parry6, Frank Hester6, Sam Harper6, Jonathan A C Sterne4,5,7, Miguel A Hernán8,9, Ben Goldacre1.   

Abstract

OBJECTIVE: To compare the effectiveness of the BNT162b2 mRNA (Pfizer-BioNTech) and the ChAdOx1 (Oxford-AstraZeneca) covid-19 vaccines against infection and covid-19 disease in health and social care workers.
DESIGN: Cohort study, emulating a comparative effectiveness trial, on behalf of NHS England.
SETTING: Linked primary care, hospital, and covid-19 surveillance records available within the OpenSAFELY-TPP research platform, covering a period when the SARS-CoV-2 Alpha variant was dominant. PARTICIPANTS: 317 341 health and social care workers vaccinated between 4 January and 28 February 2021, registered with a general practice using the TPP SystmOne clinical information system in England, and not clinically extremely vulnerable.
INTERVENTIONS: Vaccination with either BNT162b2 or ChAdOx1 administered as part of the national covid-19 vaccine roll-out. MAIN OUTCOME MEASURES: Recorded SARS-CoV-2 positive test, or covid-19 related attendance at an accident and emergency (A&E) department or hospital admission occurring within 20 weeks of receipt of the first vaccine dose.
RESULTS: Over the duration of 118 771 person-years of follow-up there were 6962 positive SARS-CoV-2 tests, 282 covid-19 related A&E attendances, and 166 covid-19 related hospital admissions. The cumulative incidence of each outcome was similar for both vaccines during the first 20 weeks after vaccination. The cumulative incidence of recorded SARS-CoV-2 infection 20 weeks after first-dose vaccination with BNT162b2 was 21.7 per 1000 people (95% confidence interval 20.9 to 22.4) and with ChAdOx1 was 23.7 (21.8 to 25.6), representing a difference of 2.04 per 1000 people (0.04 to 4.04). The difference in the cumulative incidence per 1000 people of covid-19 related A&E attendance at 20 weeks was 0.06 per 1000 people (95% CI -0.31 to 0.43). For covid-19 related hospital admission, this difference was 0.11 per 1000 people (-0.22 to 0.44).
CONCLUSIONS: In this cohort of healthcare workers where we would not anticipate vaccine type to be related to health status, we found no substantial differences in the incidence of SARS-CoV-2 infection or covid-19 disease up to 20 weeks after vaccination. Incidence dropped sharply at 3-4 weeks after vaccination, and there were few covid-19 related hospital attendance and admission events after this period. This is in line with expected onset of vaccine induced immunity and suggests strong protection against Alpha variant covid-19 disease for both vaccines in this relatively young and healthy population of healthcare workers. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35858680      PMCID: PMC9295078          DOI: 10.1136/bmj-2021-068946

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


Introduction

The covid-19 global pandemic has prompted the rapid development and delivery of vaccines to combat the disease. Following demonstration of high safety and efficacy against symptomatic and severe disease in phase III randomised controlled trials (RCTs), two vaccines have been approved and widely administered as part of the national vaccination programme in the United Kingdom: the Pfizer-BioNTech BNT162b2 mRNA covid-19 vaccine (BNT162b2),1 and the Oxford-AstraZeneca ChAdOx1 nCoV-19 viral vector vaccine (ChAdOx1).2 Post-authorisation assessment of vaccine effectiveness using observational data are necessary to monitor the success of such programmes as, invariably, target populations and settings differ substantially from those of trials. To date, there have been no RCTs that have directly compared the BNT162b2 and ChAdOx1 vaccines to estimate their relative efficacy against covid-19 infection and disease in the same population. The concurrent roll-out of these vaccines across the UK,3 combined with the country’s well developed infrastructure for conducting research using routinely collected primary care health data, provides a rare opportunity to emulate such a trial using observational data. Covid-19 vaccination in the UK has been prioritised based on the risk of infection and subsequent severity of disease.4 Health and social care workers were among the first groups eligible for vaccination due to the potentially high occupational exposure to the SARS-CoV-2 virus, making health and social care worker status an important confounder of the effect of vaccination on infection and post-infection disease. By studying this group in isolation, this confounding is mitigated. Further, unlike many other young people vaccinated later, health and social care workers were vaccinated during a period of high community infection, increasing event rates and therefore statistical power. This cohort study used a target-trial design to assess the effectiveness of ChAdOx1 compared with BNT162b2 against covid-19-related outcomes in health and social care workers, including second dose effectiveness, using the OpenSAFELY-TPP linked primary care database covering around 40% of England’s population. Effectiveness was assessed primarily in an era where the SARS-CoV-2 Alpha variant was dominant.

Methods

Data source

The OpenSAFELY-TPP database (https://opensafely.org) covers 24 million people registered at National Health Service (NHS) general practices using TPP SystmOne electronic health record software. It includes pseudonymised data such as coded diagnoses, medications, and physiological parameters. No free text data are included. The primary care data are linked, via NHS numbers, with records of attendance at accident and emergency (A&E) departments and inpatient hospital admission via NHS Digital’s Hospital Episode Statistics (HES), national coronavirus testing records via the Second Generation Surveillance System (SGSS), and national death registry records from the Office for National Statistics (ONS). Vaccination status is available in the GP record directly via the National Immunisation Management System (NIMS). Self designated health and social care worker status is recorded for all vaccine recipients at the time of vaccination, and this information is sent to OpenSAFELY-TPP from NHS Digital’s covid-19 data store.

Study population

We studied health and social care workers in England vaccinated with either BNT162b2 or ChAdOx1. This group was prioritised for vaccination at the start of the vaccine roll-out due to the potentially high occupational exposure to the SARS-CoV-2 virus, and many were vaccinated during the period where both vaccines were widely used. Vaccinated health and social care workers were included in the study if: they were registered at a GP practice using TPP’s SystmOne clinical information system on the day that they received their first dose of BNT162b2 or ChAdOx1; the date of vaccination was between 4 January (when ChAdOx1 was first administered in England) and 28 February 2021, a 56 day period when both vaccines were administered widely; they were aged between 18 and 64 years inclusive; not classed as “clinically extremely vulnerable” in government guidance4 at the time of vaccination; information on sex, ethnicity, deprivation, and geographical region was known. Study participants were followed up for no more than 20 weeks from the day of the first dose, including time after their second dose. Follow-up was censored earlier than this at 13 June 2021, death, or de-registration.

Outcomes

Three outcomes were defined: positive SARS-CoV-2 test; covid-19 related A&E attendance; and unplanned covid-19 related hospital admission. Positive SARS-CoV-2 tests were identified using SGSS records and based on swab date. Both polymerase chain reaction (PCR) and lateral flow positive tests were included, without differentiation between symptomatic and asymptomatic infection. PCR and lateral flow tests were freely available in England during the study period for people with symptoms or recent contacts of those who tested positive. Tests were prioritised for health and social care workers and other key workers. Test provenance (for example, patient-initiated tests versus employee screening) was not known. Covid-19 related A&E attendances were identified using HES emergency care records with U07.1 (“covid-19, virus identified”) or U07.2 (“covid-19, virus not identified”) ICD-10 diagnosis codes.5 Unplanned covid-19 related hospital admissions were identified using HES inpatient hospital records with U07.1 or U07.2 reason for admission ICD-10 codes. Although severe disease (such as requirement for intensive or critical care) and mortality were of interest, there were too few events to investigate these outcomes fully. Unadjusted incidence of covid-19 deaths are reported descriptively. These were identified using linked death registration data. Deaths with covid-19 ICD-10 codes (as above) mentioned anywhere on the death certificate (that is, as an underlying or contributing cause of death) were included.

Additional variables

Participant characteristics used to describe the cohort and for confounder adjustment include age, sex (male or female), English Index of Multiple Deprivation (IMD, grouped by quintiles), ethnicity (Black, Mixed, South Asian, White, Other, as per the UK census), NHS region (East of England, Midlands, London, North East and Yorkshire, North West, South East, South West), number of conditions in the clinically “at risk” (but not clinically extremely vulnerable) classification, as per national prioritisation guidelines, the number of SARS-CoV-2 tests (positive or negative) in the 90 days before the study start date (via SGSS), rurality (urban conurbation, urban city or town, rural town or village), evidence of prior SARS-CoV-2 infection (positive test or covid-19 related hospitalisation), learning disabilities, and severe mental illness. All characteristics were ascertained as at the time of vaccination.

Statistical analysis

We compared the effectiveness of a first dose of ChAdOx1 versus BNT162b2 using pooled logistic regression (PLR)6 7 with time since vaccination as the timescale and with the outcome risk estimated each day. The effect is permitted to vary over the timescale to account for the potential time-varying differences in vaccine protection between the two brands. A PLR model can be used to approximate Cox models with time-varying treatment effects and enables the estimation of risk-adjusted cumulative incidence for each vaccine type. This is the average over all participants of the cumulative incidence for each day of follow-up predicted by the PLR model, under the (counterfactual) assumption that everyone received the BNT162b2 vaccine or that everyone received the ChAdOx1 vaccine. Assuming adequate confounder adjustment, this estimates the vaccine-specific cumulative incidence that would have been observed in an RCT comparing the two vaccines in the population under consideration. Standard errors for the PLR model were obtained using the clustered sandwich estimator to account for within-participant clustering. Confidence intervals for the vaccine-specific marginal cumulative incidence, and their difference, were obtained using the delta method (that is, a first-order Taylor series approximation of the variance). The PLR model included vaccine type, and a vaccine-specific three-knot restricted cubic spline for time since vaccination. Knot locations were based on quartiles of the event times. Three models were fit for each outcome, with progressive adjustment for confounders1: adjusting for region-specific calendar-time effects, by including a two-knot restricted cubic spline for the date of vaccination and its interaction with region2; additionally adjusting for demographic characteristics3; additionally adjusting for clinical characteristics. During the study period, the advice from the UK chief medical officers was that “second doses of both vaccines will be administered towards the end of the recommended vaccine dosing schedule of 12 weeks.”8 Using an intention-to-treat approach, comparative effectiveness estimates beyond 14 weeks were considered to be second-dose effects. We report the actual timing of second doses to assess the extent of any deviation from this recommended treatment strategy, frequency of any cross-brand second doses, and how these may differ between vaccine types. PLR models are computationally expensive to fit, as the input dataset must be arranged as one row per person per day of follow-up. To manage this, a sampling strategy was used such that all those who experienced the event of interest are selected (to retain statistical power), and a random sample of 50 000 event-free participants are selected. Person-time is weighted by the inverse of the sampling probability to recover the characteristics of the complete cohort.

Missing data

A complete-case approach was used to deal with missing values. After exclusions for missing values on demographic variables (see exclusion criteria), there were no missing values in remaining variables as they were defined by the presence or absence of clinical codes or events.

Sensitivity analyses

We conducted a post-hoc sensitivity analysis that repeated the main analysis in the subgroup of participants who had no evidence of a prior SARS-CoV-2 infection. We also use piecewise-linear time-varying hazards (at 7-day intervals in the first 28 days, and 14-day intervals thereafter) to investigate whether the estimates were robust to our choice of spline parameters.

Software, code, and reproducibility

Data management and analyses were conducted in Python 3.8 and R version 4.0.2. All code is available at https://github.com/opensafely/comparative-ve-research and is shared openly for review and reuse under MIT open license. Code lists are available at https://www.opencodelists.org/. No person-level data are shared. Any reported figures based on counts below six are redacted or rounded for disclosure control.

Patient and public involvement

We have developed a publicly available website https://opensafely.org/ through which we invite any patient or member of the public to contact us regarding this study or the broader OpenSAFELY project.

Results

A total of 361 287 health and social care workers aged 18-64 years receiving a first dose of BNT162b2 or ChAdOx1 vaccine between 4 January and 28 February 2021 and actively registered at a general practice using the TPP SystmOne clinical information system were identified, with 317 341 (87.8%) meeting the study eligibility criteria (supplementary tables S1 and S2 on bmj.com). In total, 253 134 (79.8%) were vaccinated with BNT162b2, contributing 95 420 person-years of potential follow-up (including all person time before a censoring event, and possibly after an outcome event); and 64 207 (20.2%) were vaccinated with ChAdOx1, contributing 23 351 person-years. Characteristics were largely well balanced between recipients of each vaccine, though regional and temporal differences in the distribution of each vaccine are notable (table 1). BNT162b2 was on average administered earlier than ChAdOx1 (fig 1; median day of vaccination 15 January for BNT162b2, 22 January for ChadOx1). BNT162b2 was relatively more likely to be administered in the South and East of England, and ChAdOx1 the Midlands and Northern England. Evidence of prior SARS-CoV-2 infection was higher in ChAdOx1 recipients (10.8% for BNT162b2, 14.1% for ChAdOx1), consistent with ChAdOx1 recipients being vaccinated later on average. The proportion of each clinical condition is slightly higher in ChAdOx1 recipients, though consistently under a 0.6% percent-point difference.
Table 1

Baseline characteristics of participants on day of covid-19 vaccination, by vaccine type. Values are numbers (percentages) of participants unless stated otherwise

CharacteristicBNT162b2 (n=253 134)ChAdOx1 (n=64 207)
Age (years):
 18-3041 086 (16)10 464 (16)
 30s59 518 (24)14 724 (23)
 40s64 553 (26)16 286 (25)
 50s67 776 (27)17 543 (27)
 60-6420 201 (8.0)5,190 (8.1)
Sex:
 Female200 149 (79)49 331 (77)
 Male52 985 (21)14 876 (23)
Ethnicity:
 White211 463 (84)54 287 (85)
 Black8 518 (3.4)3 161 (4.9)
 South Asian23 140 (9.1)4 701 (7.3)
 Mixed3 848 (1.5)1 007 (1.6)
 Other6 165 (2.4)1 051 (1.6)
Index of Multiple Deprivation (IMD):
 1 (most deprived)36 850 (15)10 300 (16)
 247 279 (19)12 116 (19)
 355 832 (22)13 751 (21)
 457 499 (23)14 353 (22)
 5 (least deprived)55 674 (22)13 687 (21)
Region:
 North East and Yorkshire53 522 (21)16 418 (26)
 East of England62 377 (25)11 861 (18)
 Midlands50 582 (20)17 224 (27)
 South West35 948 (14)5 056 (7.9)
 London10 405 (4.1)2 148 (3.3)
 North West23 644 (9.3)7 875 (12)
 South East16 656 (6.6)3 625 (5.6)
Rural/urban category:
 Urban conurbation61 699 (24)19 295 (30)
 Urban city or town144 222 (57)32 194 (50)
 Rural town or village47 213 (19)12 718 (20)
Median (interquartile range) vaccination day (from 4 January 2021)12 (7-18)19 (13-33)
Body mass index >40 (kg/m2)9 789 (3.9)2 860 (4.5)
Chronic heart disease9 207 (3.6)2 527 (3.9)
Chronic kidney disease1 994 (0.8)551 (0.9)
Diabetes12 674 (5.0)3 339 (5.2)
Chronic liver disease3 854 (1.5)1 189 (1.9)
Chronic respiratory disease2 579 (1.0)731 (1.1)
Chronic neurological disease6 063 (2.4)1 620 (2.5)
Immunosuppressed2 527 (1.0)681 (1.1)
Asplenia or poor spleen function1 704 (0.7)481 (0.7)
Learning disabilities187 (<0.1)60 (<0.1)
Serious mental illness1 276 (0.5)434 (0.7)
Morbidity count:
 0210 107 (83)52 455 (82)
 136 544 (14)9 835 (15)
 ≥26 483 (2.6)1 917 (3.0)
Prior SARS-CoV-2 infection27 312 (11)9 085 (14)
No of SARS-CoV-2 tests in previous 3 months:
 0160 576 (63)42 095 (66)
 1-373 611 (29)18 946 (30)
 4-610 696 (4.2)1 765 (2.7)
 ≥78 251 (3.3)1 401 (2.2)
Fig1

Cumulative enrolment of study participants over time, by covid-19 vaccine type (ChAdOx1 and BNT162b2)

Baseline characteristics of participants on day of covid-19 vaccination, by vaccine type. Values are numbers (percentages) of participants unless stated otherwise Cumulative enrolment of study participants over time, by covid-19 vaccine type (ChAdOx1 and BNT162b2)

Events

Over the duration of 118 771 person-years of follow-up there were 6962 positive SARS-CoV-2 tests, 282 covid-19 related A&E attendances, and 166 covid-19 related hospital admissions. While not a primary outcome, there were also 47 deaths from any cause, of which fewer than six were covid-19 related (supplementary table S3).

Second doses

At 12 weeks (84 days), 95.4% of BNT162b2 recipients had received a second dose, compared with 90.8% of ChAdOx1 recipients. There were 413 (0.13%) participants who received a second dose within 20 weeks (140 days) that was not the same brand as the first dose, including Moderna mRNA-1273 vaccine second doses (supplementary fig S3, table S4).

Comparative effectiveness

By six weeks (42 days) post-vaccination, before receipt of the second dose for the vast majority of participants, the ChAdOx1 versus BNT162b2 absolute risk difference per 1000 people (fig 2) for a positive SARS-CoV-2 test was −0.24 (95% confidence interval −1.71 to 1.22), for covid-19 related A&E attendances was 0.01 (−0.27 to 0.28), and for covid-19 related hospital admissions was 0.03 (−0.22 to 0.27).
Fig 2

Comparative effectiveness of covid-19 vaccine ChAdOx1 and BNT162b2. For each outcome based on the fully adjusted model, the marginal cumulative incidence for ChAdOx1 and BNT162b2, their difference, and the hazard ratio are shown. The models with less extensive confounder adjustment gave similar estimates (supplementary fig S2), suggesting that recipients of each vaccine were similar after accounting for differences in vaccine allocation over space and time (as did all models). Models that assumed piecewise-constant hazards gave similar effect estimates (supplementary fig S3).

Comparative effectiveness of covid-19 vaccine ChAdOx1 and BNT162b2. For each outcome based on the fully adjusted model, the marginal cumulative incidence for ChAdOx1 and BNT162b2, their difference, and the hazard ratio are shown. The models with less extensive confounder adjustment gave similar estimates (supplementary fig S2), suggesting that recipients of each vaccine were similar after accounting for differences in vaccine allocation over space and time (as did all models). Models that assumed piecewise-constant hazards gave similar effect estimates (supplementary fig S3). At 20 weeks (140 days) post-vaccination, at which time most participants had received their second dose, the absolute risk difference per 1000 people for a positive SARS-CoV-2 test was 2.04 (0.04 to 4.04), for covid-19 A&E attendances was 0.06 (−0.31 to 0.43), and for covid-19 hospital admissions was 0.11 (−0.22 to 0.44). We note that, extrapolating beyond 20 weeks for positive SARS-CoV-2 tests, we would infer a small advantage for BNT162b2 in terms of absolute risk. In general, events rates are much higher in the first few weeks after vaccination, and then there is a clear levelling-off after around 3-4 weeks for both vaccines, beyond which the event rates were very low. For covid-19 related hospital attendance and admission events in particular, the difference in the cumulative incidence (and confidence intervals) was well below one event per 1000 people in either direction. The estimated log hazard ratios were non-zero at certain periods (fig 2), but the underlying absolute risk was small enough that this did not manifest in substantial differences in the cumulative incidence beyond the fourth week. A sensitivity analysis restricting comparative effectiveness estimates to those with no prior evidence of SARS-CoV-2 infection showed similar results (supplementary fig S5).

Discussion

Key findings

This observational study of 317 341 adult health and social care workers living in England found similar outcomes for those receiving the BNT162b2 or ChAdOx1 covid-19 vaccines during the first 20 weeks post-vaccination in the Alpha variant era. Consistent with the expected time to onset of vaccine induced immunity of around two weeks after vaccination, plus the delay from infection to the event of interest, we found that event rates tapered after the first few weeks. There were few covid-19 related hospital attendance and admission events after this period, suggesting strong protective effects for both vaccines, but limiting the power to reliably estimate comparative effectiveness with respect to severe covid-19 outcomes. There is some evidence that, compared with ChAdOx1 recipients, there was better long term protection for BNT162b2 recipients, but they were also more likely to receive their second dose sooner, likely conferring a greater protective effect that is not accounted for in our intention-to-treat effectiveness estimates.

Strengths and weaknesses

We used routinely collected health records with comprehensive coverage of primary care, hospital admissions, covid-19 testing, covid-19 vaccination, and death registrations to study vaccinated health and social care workers. This group were eligible for vaccination at the start of the UK’s vaccination programme because of their exposure to higher viral loads and the need to reduce enforced absences in essential healthcare workers during a global pandemic. As such, health and social care worker status is an important determinant of both vaccination time and SARS-CoV-2 infection, and a certain source of confounding in studies of vaccine effectiveness, which may be reduced by studying this group in isolation. Although it is not typically possible to identify health and social care workers in NHS primary care records, this information was comprehensively collected at the time of covid-19 vaccination and so is known for all vaccine recipients. Health and social care workers are the only early vaccinees who are relatively young and healthy, and were vaccinated during a period where infection rates were high and both vaccines were being widely administered.3 Overall, this provides a rare opportunity to study comparative effectiveness under conditions that, to some extent, approximate random vaccine allocation. However, some limitations remain. Despite reasonable balance of vaccine allocation across baseline characteristics and adjustment for a range of potential confounders, the possibility of unmeasured confounding remains. The cold storage requirements of BNT162b2 meant that it was more likely to have been administered in acute NHS trusts and other large vaccination centres, which is a potential confounder due to, for instance, differences in viral exposure across these settings. Although we adjusted for region, rurality, and deprivation, we were unable to directly account for occupational differences that may affect both exposure risk and vaccine type. For instance, we had no means to quantify any differences in health and social care worker specialty, working hours, or patient contact time between the treatment groups, and only crude measures of health seeking behaviour via the number of prior SARS-CoV-2 tests. The primary care practices covered in this study are not geographically representative, as the TPP SystmOne software is not widely used in some regions such as London and the North West. We were unable to fully investigate differences in protection against severe disease, in large part due to clear protective benefits of both vaccines, reducing the absolute numbers of events, and therefore statistical power, in the studied cohort. Second dose effects were considered using an intention-to-treat approach, which does not account for potential differences in the timing of the second dose between vaccine types. However, we found that, by 12 weeks, more BNT162b2 recipients had received a second dose than ChAdOx1 recipients, which would bias effect estimates in favour of BNT162b2 assuming higher protection after a second dose of either vaccine. Regardless, there was insufficient power to reliably estimate comparative second dose effects, as event incidence at 12 weeks and beyond was low for both vaccines, with fewer than 10 positive tests per 1000-person-years and far fewer for covid-19 related A&E attendances and hospital admissions. The need for many thousands more person-years to detect differences in second dose effects is encouraging to the extent that it suggests extremely high protective effects for both vaccines, though declining background case rates in England over the duration of the study period (supplementary fig S4) would have also contributed to reduced event rates in both treatment groups.

Findings in context

Several studies have estimated first dose effectiveness of covid-19 vaccines in observational data,9 including BNT162b2 and ChAdOx1 vaccines in similar populations10 11 12 13 and in healthcare workers.14 15 Vaccine protection is typically assessed by comparing vaccinated against unvaccinated person-time, or against the early post-vaccination period before anticipated onset of vaccine induced immunity. Such designs are vulnerable to confounding and selection bias—for example, vaccine prioritisation and eligibility policies and risk or health-seeking behaviours. In addition, differences in vaccine access and acceptance can cause substantial imbalance between vaccinated and unvaccinated groups that may be impossible to account for. Many of these biases can be bypassed when making direct comparisons between recipients of different vaccine types, if the relative performance of two vaccines is of interest.16 To our knowledge, the present study is the first to assess effectiveness of the BNT162b2 and ChAdOx1 vaccines in a head-to-head comparison in either an experimental or observational setting. Our study suggests that there is little to differentiate the vaccines with respect to their protective effects against infection and hospital related outcomes from covid-19 within the first 20 weeks after the first dose in adult health and social care workers under 65 years old. This pushes decisions about which vaccine to favour onto other attributes such as safety profile, logistics, and cost. However, we cannot rule out larger differences in effectiveness in other settings. For instance, results seen in this cohort of predominantly healthy health and social care workers may not reflect comparative effectiveness in more vulnerable groups, such as elderly or immunosuppressed people; the dominant circulating variant during the period of study was the Alpha variant, but that has now been replaced by successor variants, against which vaccines may be less effective12; longer term effectiveness, and in particular the potential immunological waning, may differ.

Conclusion

This study found no substantial differences in the incidence of SARS-CoV-2 infection or covid-19 related hospital events after vaccination with BNT162b2 or ChAdOx1 in a cohort of health and social care workers in England in the Alpha era. There were few severe covid-19 outcomes after the expected onset of vaccine induced immunity at around two weeks, reducing power to reliably compare effectiveness against these outcomes. Further studies are needed to assess comparative effectiveness against newer, more prevalent variants and to assess longer term effectiveness. Phase III randomised controlled trials show clear evidence of efficacy of the BNT162b2 mRNA and the ChAdOx1 vaccines against covid-19 Observational studies have provided further evidence of effectiveness in mass vaccine roll-outs No head-to-head comparison of these vaccines has been made in randomised trials, and such comparisons are difficult in observational data without administration of both vaccines across the same population at the same time By exploiting the concurrent roll-out of both vaccines in health and social care workers in England, we were able to make direct comparisons of first and second dose effectiveness between the vaccines We found similar incidence rates for infection and covid-19 related hospital attendance and admission
  12 in total

1.  A comparison of time dependent Cox regression, pooled logistic regression and cross sectional pooling with simulations and an application to the Framingham Heart Study.

Authors:  Julius S Ngwa; Howard J Cabral; Debbie M Cheng; Michael J Pencina; David R Gagnon; Michael P LaValley; L Adrienne Cupples
Journal:  BMC Med Res Methodol       Date:  2016-11-03       Impact factor: 4.615

2.  Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine.

Authors:  Fernando P Polack; Stephen J Thomas; Nicholas Kitchin; Judith Absalon; Alejandra Gurtman; Stephen Lockhart; John L Perez; Gonzalo Pérez Marc; Edson D Moreira; Cristiano Zerbini; Ruth Bailey; Kena A Swanson; Satrajit Roychoudhury; Kenneth Koury; Ping Li; Warren V Kalina; David Cooper; Robert W Frenck; Laura L Hammitt; Özlem Türeci; Haylene Nell; Axel Schaefer; Serhat Ünal; Dina B Tresnan; Susan Mather; Philip R Dormitzer; Uğur Şahin; Kathrin U Jansen; William C Gruber
Journal:  N Engl J Med       Date:  2020-12-10       Impact factor: 91.245

3.  Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: an interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK.

Authors:  Merryn Voysey; Sue Ann Costa Clemens; Shabir A Madhi; Lily Y Weckx; Pedro M Folegatti; Parvinder K Aley; Brian Angus; Vicky L Baillie; Shaun L Barnabas; Qasim E Bhorat; Sagida Bibi; Carmen Briner; Paola Cicconi; Andrea M Collins; Rachel Colin-Jones; Clare L Cutland; Thomas C Darton; Keertan Dheda; Christopher J A Duncan; Katherine R W Emary; Katie J Ewer; Lee Fairlie; Saul N Faust; Shuo Feng; Daniela M Ferreira; Adam Finn; Anna L Goodman; Catherine M Green; Christopher A Green; Paul T Heath; Catherine Hill; Helen Hill; Ian Hirsch; Susanne H C Hodgson; Alane Izu; Susan Jackson; Daniel Jenkin; Carina C D Joe; Simon Kerridge; Anthonet Koen; Gaurav Kwatra; Rajeka Lazarus; Alison M Lawrie; Alice Lelliott; Vincenzo Libri; Patrick J Lillie; Raburn Mallory; Ana V A Mendes; Eveline P Milan; Angela M Minassian; Alastair McGregor; Hazel Morrison; Yama F Mujadidi; Anusha Nana; Peter J O'Reilly; Sherman D Padayachee; Ana Pittella; Emma Plested; Katrina M Pollock; Maheshi N Ramasamy; Sarah Rhead; Alexandre V Schwarzbold; Nisha Singh; Andrew Smith; Rinn Song; Matthew D Snape; Eduardo Sprinz; Rebecca K Sutherland; Richard Tarrant; Emma C Thomson; M Estée Török; Mark Toshner; David P J Turner; Johan Vekemans; Tonya L Villafana; Marion E E Watson; Christopher J Williams; Alexander D Douglas; Adrian V S Hill; Teresa Lambe; Sarah C Gilbert; Andrew J Pollard
Journal:  Lancet       Date:  2020-12-08       Impact factor: 79.321

4.  COVID-19 vaccine coverage in health-care workers in England and effectiveness of BNT162b2 mRNA vaccine against infection (SIREN): a prospective, multicentre, cohort study.

Authors:  Victoria Jane Hall; Sarah Foulkes; Ayoub Saei; Nick Andrews; Blanche Oguti; Andre Charlett; Edgar Wellington; Julia Stowe; Natalie Gillson; Ana Atti; Jasmin Islam; Ioannis Karagiannis; Katie Munro; Jameel Khawam; Meera A Chand; Colin S Brown; Mary Ramsay; Jamie Lopez-Bernal; Susan Hopkins
Journal:  Lancet       Date:  2021-04-23       Impact factor: 79.321

5.  Interim findings from first-dose mass COVID-19 vaccination roll-out and COVID-19 hospital admissions in Scotland: a national prospective cohort study.

Authors:  Eleftheria Vasileiou; Colin R Simpson; Ting Shi; Steven Kerr; Utkarsh Agrawal; Ashley Akbari; Stuart Bedston; Jillian Beggs; Declan Bradley; Antony Chuter; Simon de Lusignan; Annemarie B Docherty; David Ford; Fd Richard Hobbs; Mark Joy; Srinivasa Vittal Katikireddi; James Marple; Colin McCowan; Dylan McGagh; Jim McMenamin; Emily Moore; Josephine Lk Murray; Jiafeng Pan; Lewis Ritchie; Syed Ahmar Shah; Sarah Stock; Fatemeh Torabi; Ruby Sm Tsang; Rachael Wood; Mark Woolhouse; Chris Robertson; Aziz Sheikh
Journal:  Lancet       Date:  2021-04-23       Impact factor: 202.731

6.  Trends and clinical characteristics of COVID-19 vaccine recipients: a federated analysis of 57.9 million patients’ primary care records in situ using OpenSAFELY.

Authors:  Helen J Curtis; Peter Inglesby; Caroline E Morton; Brian MacKenna; Amelia Green; William Hulme; Alex J Walker; Jessica Morley; Amir Mehrkar; Seb Bacon; George Hickman; Chris Bates; Richard Croker; David Evans; Tom Ward; Jonathan Cockburn; Simon Davy; Krishnan Bhaskaran; Anna Schultze; Christopher T Rentsch; Elizabeth J Williamson; Anna Rowan; Louis Fisher; Helen I McDonald; Laurie Tomlinson; Rohini Mathur; Henry Drysdale; Rosalind M Eggo; Kevin Wing; Angel Ys Wong; Harriet Forbes; John Parry; Frank Hester; Sam Harper; Shaun O'Hanlon; Alex Eavis; Richard Jarvis; Dima Avramov; Paul Griffiths; Aaron Fowles; Nasreen Parkes; Ian J Douglas; Stephen Jw Evans; Liam Smeeth; Ben Goldacre
Journal:  Br J Gen Pract       Date:  2021-12-31       Impact factor: 5.386

7.  Vaccine effectiveness of the first dose of ChAdOx1 nCoV-19 and BNT162b2 against SARS-CoV-2 infection in residents of long-term care facilities in England (VIVALDI): a prospective cohort study.

Authors:  Madhumita Shrotri; Maria Krutikov; Tom Palmer; Rebecca Giddings; Borscha Azmi; Sathyavani Subbarao; Christopher Fuller; Aidan Irwin-Singer; Daniel Davies; Gokhan Tut; Jamie Lopez Bernal; Paul Moss; Andrew Hayward; Andrew Copas; Laura Shallcross
Journal:  Lancet Infect Dis       Date:  2021-06-23       Impact factor: 25.071

8.  Comparative Effectiveness of BNT162b2 and mRNA-1273 Vaccines in U.S. Veterans.

Authors:  Barbra A Dickerman; Hanna Gerlovin; Arin L Madenci; Katherine E Kurgansky; Brian R Ferolito; Michael J Figueroa Muñiz; David R Gagnon; J Michael Gaziano; Kelly Cho; Juan P Casas; Miguel A Hernán
Journal:  N Engl J Med       Date:  2021-12-01       Impact factor: 91.245

9.  Effectiveness of mRNA-BNT162b2, mRNA-1273, and ChAdOx1 nCoV-19 vaccines against COVID-19 in healthcare workers: an observational study using surveillance data.

Authors:  Christophe Paris; Sophie Perrin; Stephanie Hamonic; Baptiste Bourget; Clémence Roué; Olivier Brassard; Emilie Tadié; Vincent Gicquel; François Bénézit; Vincent Thibault; Ronan Garlantézec; Pierre Tattevin
Journal:  Clin Microbiol Infect       Date:  2021-07-13       Impact factor: 8.067

View more
  2 in total

1.  SARS-CoV-2 antibodies and breakthrough infections in the Virus Watch cohort.

Authors:  Robert W Aldridge; Alexei Yavlinsky; Vincent Nguyen; Max T Eyre; Madhumita Shrotri; Annalan M D Navaratnam; Sarah Beale; Isobel Braithwaite; Thomas Byrne; Jana Kovar; Ellen Fragaszy; Wing Lam Erica Fong; Cyril Geismar; Parth Patel; Alison Rodger; Anne M Johnson; Andrew Hayward
Journal:  Nat Commun       Date:  2022-08-18       Impact factor: 17.694

2.  Spike-antibody responses to COVID-19 vaccination by demographic and clinical factors in a prospective community cohort study.

Authors:  Madhumita Shrotri; Ellen Fragaszy; Vincent Nguyen; Annalan M D Navaratnam; Cyril Geismar; Sarah Beale; Jana Kovar; Thomas E Byrne; Wing Lam Erica Fong; Parth Patel; Anna Aryee; Isobel Braithwaite; Anne M Johnson; Alison Rodger; Andrew C Hayward; Robert W Aldridge
Journal:  Nat Commun       Date:  2022-10-02       Impact factor: 17.694

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.