Literature DB >> 35261970

Comparison of Moderna versus Pfizer-BioNTech COVID-19 vaccine outcomes: A target trial emulation study in the U.S. Veterans Affairs healthcare system.

George N Ioannou1,2, Emily R Locke2, Pamela K Green2, Kristin Berry2.   

Abstract

Background: mRNA COVID-19 vaccines manufactured by Pfizer-BioNTech (BNT162b2) and Moderna (mRNA-1273) have been shown to be efficacious but have not been compared in head-to-head clinical trials.
Methods: We designed this observational study to emulate a target trial of COVID-19 vaccination by BNT162b2 versus mRNA-1273 among persons who underwent vaccination in the national U.S. Veterans Affairs (VA) healthcare system from 11/12/2020 to 25/03/2021 using combined VA and Medicare electronic health records. We identified the best matching mRNA-1273 recipient(s) for each BNT162b2 recipient, using exact/coarsened-exact matching (calendar week, VA integrated service network, age buckets and Charlson comorbidity index buckets) followed by propensity score matching. Vaccine recipients were followed from the date of first vaccine dose until 25/08/2021 for the development of SARS-CoV-2 infection, SARS-CoV-2-related hospitalization or SARS-CoV-2-related death. Findings: Each group included 902,235 well-matched vaccine recipients, followed for a mean of 192 days, during which 16,890 SARS-CoV-2 infections, 3591 SARS-CoV-2-related hospitalizations and 381 SARS-CoV-2-related deaths were documented. Compared to BNT162b2, mRNA-1273 recipients had significantly lower risk of SARS-CoV-2 infection (adjusted hazard ratio [aHR] 0.736, 95% CI 0.696-0.779) and SARS-CoV-2-related hospitalization (aHR 0.633, 95% CI 0.562-0.713), which persisted across all age groups, comorbidity burden categories and black/white race. The differences between mRNA-1273 and BNT162b2 in risk of infection or hospitalization were progressively greater when the follow-up period was longer, i.e. extending to March 31, June 30 or August 25, 2021. These differences were more pronounced when we analyzed separately the outcomes that occurred during the follow-up period from July 1 to August 25, 2021 when the Delta variant became predominant in the U.S. (aHR for infection 0.584, 95% CI 0.533-0.639 and aHR for hospitalization 0.387, 95% 0.311-0.482). SARS-CoV-2-related deaths were less common in mRNA-1273 versus BNT162b2 recipients (168 versus 213) but this difference was not statistically significant (aHR 0.808, 95% CI 0.592-1.103). Interpretation: In conclusion, although absolute rates of infection, hospitalization and death in both vaccine groups were low regardless of the vaccine received, our data suggests that compared to BNT162b2, vaccination with mRNA-1273 resulted in significantly lower rates of SARS-CoV-2-infection and SARS-CoV-2-related hospitalization. These differences were greater with longer follow-up time since vaccination and even more pronounced in the Delta variant era. Funding: U.S. Department of Veterans Affairs, grant numbers COVID19-8900-11 and C19 21-278.
© 2022 The Authors.

Entities:  

Year:  2022        PMID: 35261970      PMCID: PMC8896984          DOI: 10.1016/j.eclinm.2022.101326

Source DB:  PubMed          Journal:  EClinicalMedicine        ISSN: 2589-5370


Evidence before this study

We searched PubMed for studies published since February 2020 by searching all fields for (“BNT162b2” or “mRNA-1273″ or “COVID-19 vaccine”), with no language restrictions. The two mRNA COVID-19 vaccines (BNT162b2 and mRNA-1273) have differences in dosing, interval between doses and composition of the lipid nanoparticle vehicles. Randomized controlled trials comparing the effectiveness of the two vaccines have not been performed.

Added value of this study

To our knowledge, our study is the largest target trial emulation study comparing 902,235 BNT162b2 vaccine recipients and their matched counterparts who received mRNA-1273 with a long period of follow-up (mean follow-up 192 days) extending into the period of predominance of the Delta variant. Compared to BNT162b2, vaccination with mRNA-1273 resulted in significantly lower rates of SARS-CoV-2-infection (adjusted hazards ratio 0.736, 95% CI 0.696–0.779) and SARS-CoV-2-related hospitalization (aHR 0.633, 95% CI 0.562–0.713). These differences were greater with longer follow-up time since vaccination and even more pronounced in the Delta variant era.

Implications of all the available evidence

Primary series vaccination with two doses mRNA-1273 appears to be superior to BNT162b2 against infection and hospitalization related to the Alpha and Delta SARS-CoV-2 variants. Future studies should also compare “booster” doses of the two vaccines and extend the observation to the time period of Omicron variant predominance. Alt-text: Unlabelled box

Introduction

The US Food and Drug Administration (FDA) issued Emergency Use Authorization (EUA) for the two-dose mRNA COVID-19 vaccines manufactured by Pfizer-BioNTech (BNT162b2) on 12/11/2020 and by Moderna (mRNA-1273) on 12/18/2020. The effectiveness of each vaccine against infection, hospitalization and death has been demonstrated in randomized controlled trials and observational studies.1, 2, 3, 4, 5, 6, 7, 8 However, it is unclear if one vaccine is superior to the other, especially against the B.1.617.2 (Delta) variant, or as more time from vaccination accrues. Differences in effectiveness between these two vaccines would have important clinical and public health implications and might also inform the composition and dosing of future mRNA vaccines. Although both vaccines include full-length, Spike protein-encoding mRNAs, they have different doses of mRNA content (100 µg for mRNA-1273 versus 30 µg for BNT162b2), interval between doses (28 days for mRNA-1273 versus 21 days for BNT162b2), and composition of the lipid nanoparticle vehicles. It has been suggested that vaccination with mRNA-1273 may elicit greater immune responses than BNT162b2. Some studies suggested a greater drop in vaccine effectiveness over time in BNT162b2 than in mRNA-1273 vaccine recipients and slightly lower vaccine effectiveness against infection and hospitalization.8, 9, 10, 11 The Veterans Affairs (VA) healthcare system, the largest national, comprehensive healthcare system in the U.S., has vaccinated a very large proportion of its enrollees using both of the mRNA vaccines across the country. It is unlikely that a randomized controlled trial comparing the two vaccines will ever be performed. Therefore, we used target trial emulation design to compare the two mRNA vaccines in the VA healthcare system with respect to risk of infection, hospitalization and death.

Methods

Study setting and data sources

The VA provides care at 171 medical centers and 1112 outpatient clinics throughout the country. It employs a nationwide electronic health records (EHR) system enabling accurate ascertainment of relevant baseline characteristics and potential confounders. We used data from the VA's Corporate Data Warehouse (CDW), a relational database of VA enrollees’ comprehensive EHR, including the VA COVID-19 Shared Data Resource, which includes analytic variables provisioned by the VA Informatics and Computing Infrastructure (VINCI) on all VA enrollees who were tested for, or vaccinated against SARS-CoV2 and detailed clinical outcomes for those who tested positive. We also used Medicare data obtained through the VA Information Resource Center (VIReC) to identify any additional VA enrollees diagnosed with COVID-19 or hospitalized for COVID-19 through Medicare-covered services The study was approved by the VA Puget Sound Institutional Review Board (protocol # 01,885), which waived the requirement for informed consent because this was a retrospective study based on electronic health records.

Specification and emulation of target trial: eligibility criteria and study population

We designed this observational study to emulate a target randomized controlled trial of COVID-19 vaccination by BNT162b2 versus mRNA-1273 in the national VA healthcare system with a recruitment period between December 11, 2020 and March 25, 2021 and with the primary endpoints being time from vaccination to SARS-CoV-2 infection, SARS-CoV-2-related hospitalization or SARS-CoV-2-related death. To facilitate target trial emulation and determine the target trial population, we created a cohort of all VA enrollees aged 18 years or older who were alive as of 11 December 2020 (the date of emergency use authorization for BNT162b2) and had an inpatient or outpatient encounter in the VA health care system in the preceding 12 months (n = 5 766 638) (Figure 1). Among these, we identified those who received at least one dose of BNT162b2 or mRNA-1273 between December 11, 2020 and March 25, 2021 (n = 2343,919), either administered within VA and documented in VA pharmacy records (84.9%) or administered outside the VA but with the type and date of vaccination documented in VA records (15.1%). We then applied the target trial's three eligibility criteria to exclude ineligible persons as follows. We excluded 133,776 who did not have an outpatient or inpatient encounter in the VA healthcare system in the preceding 12 months prior to vaccination, 16,437 who were living in VA long-term care facilities, and 87,555 with evidence of SARS-CoV-2 infection prior to the vaccination date either in VA or Medicare date (because they have a high rate of protection against re-infection thereby masking the effect of vaccination). The remaining 2106,151 persons who received at least one dose of mRNA vaccine including 937,226 with BNT162b2 and 1168,925 with mRNA-1273 were eligible to be included in the emulation of the target trial.
Figure 1

Eligibility criteria and matching process resulting in the selection of a study population for the emulation of a target trial comparing the effectiveness of BNT162b and mRNA-1273 COVID-19 vaccines in the national Veterans Affairs healthcare system.

Abbreviations: VA denotes the U.S. Department of Veterans Affairs and SARS-CoV-2 the severe acute respiratory syndrome coronavirus 2.

Eligibility criteria and matching process resulting in the selection of a study population for the emulation of a target trial comparing the effectiveness of BNT162b and mRNA-1273 COVID-19 vaccines in the national Veterans Affairs healthcare system. Abbreviations: VA denotes the U.S. Department of Veterans Affairs and SARS-CoV-2 the severe acute respiratory syndrome coronavirus 2.

Specification and emulation of target trial: treatment assignment

We aimed to emulate a target trial that would randomize eligible participants after stratification by the following characteristics: calendar week of vaccination, VA Integrated Service Network (or VISN, the 19 administrative regions of VA), age (6-year buckets) and Charlson Comorbidity Index (CCI) (3-point buckets). Calendar week and VISN were selected as stratification variables because of the well-described temporal and geographic variability in risk of SARS-CoV-2 infection. Age and CCI were chosen because these are the two characteristics most strongly associated with development of SARS-CoV-2 infection, hospitalization or death in VA patients.17, 18, 19, 20 We emulated this stratification strategy by matching mRNA-1273 to BNT162b2 recipients by these characteristics. To further reduce any residual confounding that might be present after this exact/coarsened-exact matching step, we executed an additional propensity score matching step ultimately aiming to identify the best mRNA-1273 recipient match(es) for each BNT162b2 recipient. This strategy of exact matching (calendar week, VISN), coarsened exact matching (age, CCI) and propensity score matching was implemented using STATA's kmatch command (StataCorp, College Station, TX. USA). Each BNT162b2 recipient was matched to mRNA-1273 recipient(s) with replacement and in a 1:K variable ratio, where K varied based on the number of propensity score ties. We included all ties to avoid imbalance due to random pruning. Entropy balancing of means in all matching characteristics was included as a refinement in the matching process. The characteristics used in the propensity score logistic regression model were selected a priori and were characteristics associated with the likelihood of getting vaccinated by BNT162b2 versus mRNA-1273 (the exposure) and the risk of developing SARS-CoV-2 infection, hospitalization or death (the outcomes) in the VA population,,,, and categorized as shown in Table 1. These characteristics were: age, sex, self-reported race and ethnicity, urban/rural residence (based on zip codes, using data from the VA Office of Rural Health, which uses the Secondary Rural-Urban Commuting Area [RUCA] for defining rurality), VISN, CCI, body mass index (BMI, calculated using measured weight and height), diabetes, congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD), chronic kidney disease (CKD) and the Care Assessment Need (CAN) score. The CAN score is a validated measure of 1-year mortality in VA enrollees calculated using socio-demographics, clinical diagnoses, vital signs, medications, laboratory values, and health care utilization data from VA's national EHR., Diabetes, CHF, COPD and CKD were defined by international classification of disease, tenth revision (ICD-10) codes documented in VA EHR in the 2-year period prior to vaccination. Lists of ICD-10 codes defining each of these conditions were developed by the VA Centralized Interactive Phenomics Resource or CIPHER (see Supplementary Appendix for these ICD10 codes and for CCI calculation method). We additionally extracted immunosuppressant medications (see Supplementary Appendix) prescribed in the prior year to confirm comparability in the matched groups.
Table 1

Baseline sociodemographic and clinical characteristics of persons who received COVID-19 vaccination between December 11, 2020 and March 25, 2021 in the VA healthcare system with Pfizer-BioNTech (BNT162b2) vaccines and their matched counterparts who received Moderna (mRNA-1273) vaccines.

Matched Cohorts who received COVID-19 vaccination with
Pfizer-BioNTech(BNT162b2)N = 902,235Moderna(mRNA-1273)N = 902,235
Date of vaccination
13/12/20–12/19/2041(0.0)41(0.0)
12/20/20–12/26/202684(0.3)2684(0.3)
12/27/20- 1/2/218715(1.0)8715(1.0)
1/3/21- 1/9/2124,788(2.7)24,788(2.7)
1/10/21- 1/16/2163,766(7.1)63,766(7.1)
1/17/21- 1/23/2195,983(10.6)95,983(10.6)
1/24/21- 1/30/21113,362(12.6)113,362(12.6)
1/31/21- 2/6/2195,311(10.6)95,311(10.6)
2/7/21- 2/13/2173,261(8.1)73,261(8.1)
2/14/21- 2/20/2152,119(5.8)52,119(5.8)
2/21/21- 2/27/2183,154(9.2)83,154(9.2)
2/28/21- 3/6/2191,393(10.1)91,393(10.1)
3/7/21- 3/13/2182,521(9.1)82,521(9.1)
3/14/21- 3/25/21115,137(12.8)115,137(12.8)
Sex (%)
Female7.87.1
Male92.292.9
Age (years), mean ±SD67.5 ± 13.367.5 ± 13.3
Age (years), median (IQR)71.0 (61.0,75.0)71.0 (61.0,75.0)
Age Group (%)
18 to 4910.510.5
50 to 5912.612.6
60 to 6410.010.0
65 to 6912.712.3
70 to 7425.725.9
75 to 7914.214.3
80 to 846.76.7
85 to 895.05.0
≥902.72.7
Race (%)
White69.170.5
Black19.919.0
Asian1.31.2
American Indian/Alaska Native0.70.6
Pacific Islander/ Native Hawaiian0.90.8
Declined/Unknown/Missing8.07.8
Ethnicity (%)
Non-Hispanic88.389.0
Hispanic6.35.7
Declined/Unknown/Missing5.55.3
Urban/Rural (%)
Rural/Highly rural39.839.8
Urban59.559.6
Missing0.70.6
VA Integrated Service Network (VISN) (%)
14.54.5
24.74.7
45.25.2
53.13.1
66.06.0
76.16.1
811.811.8
93.23.2
106.36.3
125.45.4
153.53.5
165.95.9
175.15.1
193.83.8
204.84.8
215.95.9
228.28.2
236.46.4
Body Mass Index (kg/m2), mean ±SD30.0 ± 5.629.9 ± 5.5
Body Mass Index (kg/m2), median (IQR)29.3 (26.4,32.7)29.3 (26.5,32.6)
Body Mass Index (kg/m2), group (%)
<18.50.70.5
18.5 to <2515.715.3
25 to <30 (Overweight)32.933.2
30 to <35 (Obese I)24.525.4
35 to <40 (Obese II)10.710.2
≥40 (Obese III)5.34.9
Missing10.210.5
Charlson Comorbidity Index, mean ± SD2.6 ± 2.82.6 ± 2.8
Charlson Comorbidity Index, median (IQR)2.0 (0.0,4.0)2.0 (0.0,4.0)
Charlson Comorbidity Index group (%)
028.128.1
117.417.8
213.113.3
311.611.1
48.18.2
5–611.111.0
7–85.95.8
≥94.74.7
Diabetes (%)
No68.768.8
Yes31.331.2
Chronic Kidney Disease (%)
No89.189.6
Yes10.910.4
Congestive heart failure (%)
No95.195.5
Yes4.94.5
Chronic Obstructive Pulmonary Disease (%)
No86.787.3
Yes13.312.7
CAN Score† for mortality w/in 1 year, mean ± SD54.7 ± 26.054.5 ± 25.9
CAN Score† for mortality w/in 1 year, median (IQR)60.0 (35.0,75.0)60.0 (35.0,75.0)
CAN Score for mortality w/in 1 year group (%)
0–3021.421.4
31–5526.226.2
56–7522.722.6
76–9017.016.9
91–951.11.0
96–983.23.1
990.90.9
Missing7.47.9
Immunosuppressant medications* (%)6.46.4

CAN score is the Care Assessment Needs score a validated measure of 1-year mortality in VA enrollees, presented as a percentile of all VA enrollees.

Immunosuppressant medications prescribed in the previous year (see list of immunosuppressant medications in Supplementary Appendix-Supplementary Methods 2).

Baseline sociodemographic and clinical characteristics of persons who received COVID-19 vaccination between December 11, 2020 and March 25, 2021 in the VA healthcare system with Pfizer-BioNTech (BNT162b2) vaccines and their matched counterparts who received Moderna (mRNA-1273) vaccines. CAN score is the Care Assessment Needs score a validated measure of 1-year mortality in VA enrollees, presented as a percentile of all VA enrollees. Immunosuppressant medications prescribed in the previous year (see list of immunosuppressant medications in Supplementary Appendix-Supplementary Methods 2). The end result of executing STATA's kmatch procedure was to assign each person who received the first dose of BNT162b2 to up to K persons who received the first dose of mRNA-1273 during the same calendar week and within the same VISN, who also had the same age bucket and CCI bucket and had a nearest-neighbor propensity score within a caliper of 0.019 (0.2 times the standard deviation of the propensity score).

Target trial follow-up period and primary endpoints: SARS-CoV-2 infection, SARS-CoV-2-related hospitalization and SARS-CoV-2-related death

Follow-up of eligible vaccine recipients for the study's three primary endpoints extended from first vaccine dose to August 25, 2021 resulting in a minimum potential follow-up of 5 months and maximum of 8.5 months. Vaccine recipients were censored at the time of death unrelated to COVID-19, or on August 25, 2021. Vaccine recipients who tested positive for SARS-CoV-2 RNA in a respiratory specimen within the VA system based on polymerase chain reaction (PCR) tests as well as those with such tests performed outside the VA but documented in VA records were identified by the VA National Surveillance Tool. The earliest date of a documented positive test was taken as each patient's date of infection. We also identified any additional vaccine recipients who had a diagnosis of COVID-19 recorded in CMS-Medicare records obtained through VIReC based on ICD-10 codes. The earliest date of documentation was taken as the date of infection. Medicare records do not include the results of SARS-CoV-2 tests. The majority (75.49%) of incident infections were found only in VA data, 18.43% only in Medicare data and 6.07% in both data sources. SARS-CoV-2-related hospitalization was defined as hospitalization on or within 30 days after a positive test or COVID-19 diagnosis. We used both VA and CMS-Medicare data to identify these hospitalizations, of which 64.1% were recorded in VA data, 34.6% in Medicare data and 1.3% in both. SARS-CoV-2-related death was defined as death from any cause within 30 days of a positive test or COVID-19 diagnosis.,,, Deaths occurring both within and outside the VA are comprehensively captured in CDW from a variety of VA and non-VA sources including VA inpatient files, VA Beneficiary Identification and Records Locator System (BIRLS), Social Security Administration (SSA) death files, and the Department of Defense.

Statistical analysis

We used Cox proportional hazards regression to compare BNT162b2 recipients versus matched mRNA-1273 recipients with respect to time to development of SARS-CoV-2 infection, hospitalization or death starting from the date of receipt of the first vaccine dose and extending up to August 25, 2021. We calculated an unadjusted HR as well as a HR adjusted for all the baseline characteristics listed in Table 1. All analyses were weighted to account for variable-ratio matching and matching with replacement. A robust sandwich-type variance estimator was used to account for clustering within matched group, clustering within subjects, and clustering in the cross-classification of the matched and within subject clusters. We also estimated the absolute risk of each outcome derived from the Kaplan-Meier estimator for a period of 24 weeks since vaccination and 24-week risk differences and risk ratios comparing BNT162b2 versus mRNA-1273 groups. The 95% confidence intervals for risks were calculated using a robust sandwich-type variance estimator. We chose nonparametric bootstrapping with 500 samples to calculate 95% confidence intervals for risk difference and ratio due to the lack of closed form solutions to the variance estimators. Subgroup analysis determined a priori were based on age, CCI categories and black/white race. To investigate whether any differences between mRNA-1273 versus BNT162b2 recipients were more pronounced with longer follow-up since vaccination we performed analyses with follow-up extending to March 31 or June 30 as well as August 25,2021. In an exploratory analysis that is subject to “depletion of susceptibles” bias, we analyzed separately outcomes that occurred after July 1, 2021, in order to determine whether any differences between the two vaccines were pronounced against the Delta variant, which became the predominant variant in the U.S. after July 1, 2021, including among VA enrollees. The analysis of outcomes that occurred after July 1, 2021 was limited to matched pairs who were still alive and uninfected as of that date with a time of origin of July 1, 2021.

Negative outcome control

We used a negative outcome control to verify there was no uncontrolled residual confounding or unsuspected source of selection bias after matching. We chose as a negative outcome control the incidence of SARS-CoV-2 infection in the ten days following the first vaccine dose, since there is no expectation of protective effect immediately after vaccination.

Missing values

We chose not to impute missing values in BMI and CAN score (shown in Table 1), but rather modeled them with a missing category as part of the propensity score logistic regression model, because “missingness” is these two variables is informative and meaningful, and matching for “missingness” would result in better matching. Missing BMI is an in indicator of VA enrollees who had not had their weight measured in the prior year, while missing CAN score is an indicator of VA enrollees who did not have a primary care provider because it is calculated only in those assigned to a VA primary care provider.

Role of the funding source

The funding source did not have any involvement in study design, data collection, data analysis, data interpretation or in writing of the article. All four co-authors had access to the data and agreed with the decision to submit for publication.

Results

Baseline characteristics of BNT162b2 recipients and their matched counterparts who received mRNA-1273

All baseline characteristics were well balanced between the two matched cohorts (n = 902,235 in each group, Table 1). Baseline characteristics of BNT162b2 and mRNA-1273 vaccine recipients before matching are shown in Supplementary Appendix-Supplementary Table 1. Comparison of the standardized mean differences and variance ratios of baseline characteristics and the cumulative distribution of propensity scores between persons vaccinated with BNT162b2 and mRNA-1273 shown for the raw and matched data demonstrate balance after matching (Figure 2). Prior to matching the absolute standardized difference in baseline characteristics between BNT162b2 and mRNA-1273 recipients ranged from 0.000 to 0.297 with a median of 0.039 (IQR: 0.010–0.079). After matching the absolute standardized differences ranged from 0.000 to 0.021 with a median of 0.006 (IQR: 0.001–0.010). The BNT162b2 recipients consisted of 902,235 unique persons who were matched 1:K to 656,736 unique mRNA-1273 recipients. Matching with replacement allowed the matching of ∼96% of the BNT162b2 to ∼56% of the mRNA-1273 recipients. mRNA-1273 recipients were reused as matches up to 120 times with a median of 2 BNT162b2 recipients (inter-quartile range (IQR): 1–4). BNT162b2 vaccine recipients had up to 136 tied matches with a median of 1 (IQR: 1–2).
Figure 2

Comparison of baseline characteristics in Moderna (mRNA-1273) versus Pfizer-BioNTech (BNT162b2) vaccine recipients demonstrated balance after matching.

a. Absolute standardized mean difference and variance ratio of baseline characteristics between mRNA-1273 versus BNT162b2 recipients.

The green dots show the raw results and the orange dots the results after matching. The results demonstrate that all measured variables were well-balanced between the two vaccine groups after matching.

Abbreviations: AI/AN: American Indian/Alaska Native; BMI: Body Mass Index; CAN: Care Assessment Need score; CHF: Congestive Heart Failure; CKD: Chronic Kidney Disease; COPD: Chronic Obstructive Pulmonary Disease.

b. Cumulative distribution of propensity score between mRNA-1273 versus BNT162b2 recipients shown for the raw and matched data.

The green line demonstrates the propensity score distribution for BNT162b2 and the orange line for mRNA-1273. The figure demonstrates almost complete overlap of the propensity score distributions in the two vaccine groups after matching.

Comparison of baseline characteristics in Moderna (mRNA-1273) versus Pfizer-BioNTech (BNT162b2) vaccine recipients demonstrated balance after matching. a. Absolute standardized mean difference and variance ratio of baseline characteristics between mRNA-1273 versus BNT162b2 recipients. The green dots show the raw results and the orange dots the results after matching. The results demonstrate that all measured variables were well-balanced between the two vaccine groups after matching. Abbreviations: AI/AN: American Indian/Alaska Native; BMI: Body Mass Index; CAN: Care Assessment Need score; CHF: Congestive Heart Failure; CKD: Chronic Kidney Disease; COPD: Chronic Obstructive Pulmonary Disease. b. Cumulative distribution of propensity score between mRNA-1273 versus BNT162b2 recipients shown for the raw and matched data. The green line demonstrates the propensity score distribution for BNT162b2 and the orange line for mRNA-1273. The figure demonstrates almost complete overlap of the propensity score distributions in the two vaccine groups after matching. By design, an identical number of match-weighted persons initiated vaccination in the mRNA-1273 and BNT162b2 groups each week from 12/13/21 to 3/25/21 (Table 1). Both BNT162b2 and mRNA-1273 groups were predominantly male (92.2% vs. 92.9%), had advanced mean age (67.5 yrs in both groups), diverse racial/ethnic distribution (e.g. Black 19.0% vs. 19.0%, Hispanic 6.3% vs. 5.7%) and a substantial comorbidity burden (mean CCI 2.6 in both groups) and similar CAN score (54.7 vs. 54.5) with a similar proportion not having an assigned primary care team as evidenced by missing CAN score (7.4% vs. 7.9%). Major comorbid conditions such as diabetes, CHF, COPD and CKD and exposure to immunosuppressant medications were common and nearly equally distributed in the two groups.

Compliance with second vaccine dose

A second vaccine dose was administered to a very similar proportion of mRNA-1273 (96.5%) and BNT162b2 (97.3%) vaccine recipients. The second dose was administered within ±4 days of the recommended date (i.e. 21 ± 4 days for BNT162b2 and 28 ± 4 days for mRNA-1273 after the first dose) in a similarly high proportion of mRNA-1273 (93.5%) and BNT162b2 (94.4%) vaccine recipients. Detailed information on distribution of mRNA-1273 and BNT162b2 vaccines in the VA system during this time period was recently published by our group.

SARS-CoV-2 infection in BNT162b2 versus mRNA-1273 recipients

During a mean follow-up of 192 days, identical in the BNT162b2 and mRNA-1273 groups, 16,890 SARS-CoV-2 infections, 3591 SARS-CoV-2-related hospitalizations and 381 SARS-CoV-2-related deaths were documented. Compared to BNT162b2 recipients, mRNA-1273 recipients had a ∼26% lower risk of SARS-CoV-2 infection (adjusted hazard ratio [aHR] 0.736, 95% CI 0.696–0.779), an association that persisted in a similar magnitude across all age (18 to <65, 65 to <75, ≥75) and CCI sub-groups (0–1,2–3, ≥4) and for both black and white persons (Table 2 and Figure 3a). The difference between mRNA-1273 and BNT162b2 recipients was progressively greater when follow-up was longer, i.e. extending to March 31, 2021 (mean follow-up 45 days, aHR 0.913, 95% CI 0.838–0.994), or ∼9% lower risk), versus June 30, 2021 (mean follow-up 135 days, aHR 0.851, 95% CI 0.793–0.913 or ∼15% lower risk) versus the main analysis, which extended to August 25, 2021 (mean follow-up 192 days, 26% lower risk). The Kaplan-Meier curves also demonstrated an increasing rate of infection and an increasing gap between mRNA-1273 and BNT162b2 recipients as follow-up extended from 150 to 220 days from vaccination (Figure 3a). The difference between mRNA-1273 and BNT162b2 recipients was greater when we analyzed separately the outcomes that occurred in the time period after July 1, 2021 (aHR 0.584, 95% CI 0.533–0.639) – when the Delta variant was predominant - than in the time period before July 1, 2021 (aHR 0.851, 95% CI 0.793–0.913).
Table 2

Comparison of Pfizer-BioNTech (BNT162b2) versus Moderna (mRNA-1273) vaccine recipients with respect to the risk of developing documented SARS-CoV-2 infection.

Type ofCOVID-19 vaccinationNPerson-daysSARS-CoV-2 infectionsNSARS-CoV-2 infectionsIncidence rate per 1000 person-daysUnadjusted Hazard Ratio(95% CI)Adjusted Hazard Ratio†(95% CI)
All Persons, Follow-up extending for 10 days only (negative outcome control)
BNT162b2902,2359017,80811580.12811
mRNA-1273902,2359017,75311140.1230.962(0.841–1.100)0.966(0.841–1.110)
All Persons, Follow-up extending to 3/31/21
BNT162b2902,23541,094,63935030.08511
mRNA-1273902,23541,013,74231730.0770.908(0.834–0.989)0.913(0.838–0.994)
All Persons, Follow-up extending to 6/30/21
BNT162b2902,235122,692,17755460.04511
mRNA-1273902,235122,688,66046970.0380.847(0.789–0.908)0.851(0.793–0.913)
All Persons, Follow-up extending to 8/25/21
BNT162b2902,235172,770,24197510.05611
mRNA-1273902,235172,858,65171390.0410.732(0.691–0.774)0.736(0.696–0.779)
SUB-GROUPS, Follow-up extending to 8/25/21
Age 18 to <65
BNT162b2298,55752,942,25229070.05511
mRNA-1273299,27253,084,08721700.0410.745(0.666–0.834)0.749(0.670–0.838)
Age 65 to <75
BNT162b2346,35467,361,56437060.05511
mRNA-1273344,32366,924,61526060.0350.707(0.646–0.775)0.711(0.649–0.779)
Age ≥ 75
BNT162b2257,32452,466,42531380.06011
mRNA-1273258,64052,849,94923620.0450.746(0.680–0.819)0.752(0.685–0.824)
CCI 0–1
BNT162b2410,65577,037,40831220.04111
mRNA-1273413,69077,551,67423780.0310.757(0.666–0.859)0.758(0.668–0.859)
CCI 2–4
BNT162b2296,03357,316,42232400.05711
mRNA-1273293,61056,930,65324540.0430.762(0.692–0.839)0.767(0.696–0.845)
CCI ≥ 5
BNT162b2195,54738,416,41133890.08811
mRNA-1273194,93538,376,32423070.0600.682(0.628–0.741)0.687(0.633–0.747)
White persons
BNT162b2623,437120,248,39469030.05711
mRNA-1273636,466122,750,73950740.0410.721(0.674–0.772)0.728(0.680–0.779)
Black persons
BNT162b2179,80533,697,21919330.05711
mRNA-1273171,45132,065,19413630.0430.740(0.653–0.838)0.743(0.656–0.842)
Follow-up time period 07/01/2021 to 08/25/2021
BNT162b2884,96049,476,55541560.08411
mRNA-1273884,96049,510,38124110.0490.579(0.530–0.633)0.584(0.533–0.639)

*Adjusted for sex, age, race, ethnicity, urban/rural residence, CCI, diabetes, COPD, CKD, CHF, BMI and CAN score and stratified by VA region [VISN]. “Stratification” using STATA's strata option allows the baseline hazard function to differ by VISN under the constraint that the coefficients are equal across VISNs.

Figure 3

Kaplan-Meier curve showing cumulative incidence (%) and 95% confidence intervals of SARS-CoV-2 infections (a), SARS-CoV-2-related hospitalizations (b) SARS-CoV-2-related deaths (c) and SARS-CoV-2 infections in the first 10 days after the first vaccine dose as a negative control outcome (d) in persons who received Pfizer-BioNTech (BNT162b2) versus Moderna (mRNA-1273) COVID-19 vaccination.

a. SARS-CoV-2 Infection

b. SARS-CoV-2 related hospitalization

c. SARS-CoV-2-related death

d. SARS-CoV-2 infection in the first 10 days after the first vaccine dose (negative outcome control)

The green lines show cumulative incidence and 95% confidence intervals for BNT162b2 and the orange lines for mRNA-1273. The Figures show lower cumulative incidence of infection (a) and hospitalization (b) in the nRNA-1273 versus the BNT162b2 vaccine recipients and also an increasing gap between mRNA-1273 and BNT162b2 vaccine recipients as follow-up extended from 150 to 220 days. The cumulative incidence curves for mortality (c) appear very similar for the two vaccine groups with overlapping confidence intervals Figure 3.d shows that the cumulative incidence of SARS-CoV-2 infection in the first 10 days following first vaccine dose (used as a negative outcome control) was almost identical in the mRNA-1273 and BNT162b2 groups suggesting absence of uncontrolled residual confounding.

Comparison of Pfizer-BioNTech (BNT162b2) versus Moderna (mRNA-1273) vaccine recipients with respect to the risk of developing documented SARS-CoV-2 infection. *Adjusted for sex, age, race, ethnicity, urban/rural residence, CCI, diabetes, COPD, CKD, CHF, BMI and CAN score and stratified by VA region [VISN]. “Stratification” using STATA's strata option allows the baseline hazard function to differ by VISN under the constraint that the coefficients are equal across VISNs. Kaplan-Meier curve showing cumulative incidence (%) and 95% confidence intervals of SARS-CoV-2 infections (a), SARS-CoV-2-related hospitalizations (b) SARS-CoV-2-related deaths (c) and SARS-CoV-2 infections in the first 10 days after the first vaccine dose as a negative control outcome (d) in persons who received Pfizer-BioNTech (BNT162b2) versus Moderna (mRNA-1273) COVID-19 vaccination. a. SARS-CoV-2 Infection b. SARS-CoV-2 related hospitalization c. SARS-CoV-2-related death d. SARS-CoV-2 infection in the first 10 days after the first vaccine dose (negative outcome control) The green lines show cumulative incidence and 95% confidence intervals for BNT162b2 and the orange lines for mRNA-1273. The Figures show lower cumulative incidence of infection (a) and hospitalization (b) in the nRNA-1273 versus the BNT162b2 vaccine recipients and also an increasing gap between mRNA-1273 and BNT162b2 vaccine recipients as follow-up extended from 150 to 220 days. The cumulative incidence curves for mortality (c) appear very similar for the two vaccine groups with overlapping confidence intervals Figure 3.d shows that the cumulative incidence of SARS-CoV-2 infection in the first 10 days following first vaccine dose (used as a negative outcome control) was almost identical in the mRNA-1273 and BNT162b2 groups suggesting absence of uncontrolled residual confounding.

SARS-CoV-2-related hospitalization in BNT162b2 versus mRNA-1273 recipients

Compared to BNT162b2 recipients, mRNA-1273 recipients had a ∼37% lower risk of SARS-CoV-2-related hospitalization (adjusted hazard ratio [aHR] 0.633, 95% CI 0.562–0.713); this association persisted in a similar magnitude across all subgroups of age and CCI and in both Black and White persons (Table 3 and Figure 3b). The difference between mRNA-1273 and BNT162b2 recipients was progressively greater when follow-up was longer, i.e. extending to March 31, 2021 (aHR 0.888, 95% CI 0.744–1.059), or ∼11% lower risk), versus June 30, 2021 (aHR 0.767, 95% CI 0.666–0.884 or ∼23% lower risk) versus the main analysis which extended to August 25, 2021 (37% lower risk). The Kaplan-Meier curves also demonstrated an increasing rate of SARS-CoV-2-related hospitalization and an increasing gap between mRNA-1273 and BNT162b2 recipients as follow-up extended from 150 to 220 days (Figure 3b). The difference between mRNA-1273 and BNT162b2 recipients was greater when we analyzed separately the outcomes that occurred in the time period after July 1, 2021 (aHR 0.387, 95% CI 0.311–0.482) – when the Delta variant was predominant - than in the time period before July 1, 2021 (aHR 0.767, 95% CI 0.666–0.884).
Table 3

Comparison of Pfizer-BioNTech (BNT162b2) versus Moderna (mRNA-1273) vaccine recipients with respect to the risk of developing SARS-CoV-2-related hospitalization.

Type ofCOVID-19 vaccinationNPerson-daysSARS-CoV-2 hospitalizations NSARS-CoV-2 hospitalization rate per 10,000 person-daysUnadjusted Hazard Ratio(95% CI)Adjusted Hazard Ratio*(95% CI)
All Persons, Follow-up extending to 3/31/21
BNT162b2902,23541,195,4988630.20911
mRNA-1273902,23541,109,1297580.1840.880(0.737–1.051)0.888(0.744–1.059)
All Persons, Follow-up extending to 6/30/21
BNT162b2902,235123,115,89114270.11611
mRNA-1273902,235123,067,60310840.0880.760(0.659–0.875)0.767(0.666–0.884)
All Persons, Follow-up extending to 8/25/21
BNT162b2902,235173,484,19222100.12711
mRNA-1273902,235173,474,58913810.0800.625(0.554–0.704)0.633(0.562–0.713)
SUB-GROUPS, Follow-up extending to 8/25/21
Age 18 to <65
BNT162b2298,55753,140,4183350.06311
mRNA-1273299,27253,258,6981750.0330.520(0.378–0.718)0.531(0.384–0.733)
Age 65 to <75
BNT162b2346,35467,633,5018540.12611
mRNA-1273344,32367,151,8305650.0840.667(0.550–0.809)0.673(0.554–0.816)
Age ≥ 75
BNT162b2257,32452,710,27310210.19411
mRNA-1273258,64053,064,0616420.1210.623(0.524–0.740)0.634(0.534–0.753)
CCI 0–1
BNT162b2410,65577,290,7453560.04611
mRNA-1273413,69077,782,5112240.0290.626(0.408–0.961)0.627(0.412–0.956)
CCI 2–4
BNT162b2296,03357,568,9036430.11211
mRNA-1273293,61057,152,9684430.0770.693(0.555–0.865)0.700(0.561–0.875)
CCI ≥ 5
BNT162b2195,54738,624,54412110.31411
mRNA-1273194,93538,539,1117140.1850.592(0.510–0.687)0.600(0.517–0.697)
White persons
BNT162b2623,437120,768,60915280.12711
mRNA-1273636,466123,188,6689870.080.634(0.548–0.733)0.647(0.559–0.747)
Black persons
BNT162b2179,80533,822,4904810.14211
mRNA-1273171,45132,178,7332530.0790.553(0.427–0.715)0.568(0.437–0.738)
Follow-up time period 07/01/2021 to 08/25/2021
BNT162b2896,77650,199,6667800.15511
mRNA-1273896,77650,208,9422950.0580.378(0.306–0.469)0.387(0.311–0.482)

Adjusted for sex, age, race, ethnicity, urban/rural residence, CCI, diabetes, COPD, CKD, CHF, BMI and CAN score and stratified by VA region [VISN]. “Stratification” using STATA's strata option allows the baseline hazard function to differ by VISN under the constraint that the coefficients are equal across VISNs.

Comparison of Pfizer-BioNTech (BNT162b2) versus Moderna (mRNA-1273) vaccine recipients with respect to the risk of developing SARS-CoV-2-related hospitalization. Adjusted for sex, age, race, ethnicity, urban/rural residence, CCI, diabetes, COPD, CKD, CHF, BMI and CAN score and stratified by VA region [VISN]. “Stratification” using STATA's strata option allows the baseline hazard function to differ by VISN under the constraint that the coefficients are equal across VISNs.

SARS-CoV-2-related mortality in BNT162b2 versus mRNA-1273 recipients

SARS-CoV-2-related mortality was lower in the mRNA-1273 group (168 SARS-CoV-2-related deaths, 0.097 per 100,000 person-days) than in the matched BNT162b2 group (213 SARS-CoV-2-related deaths, 0.123 per 100,000 person-days) with an aHR of 0.808 (95% CI 0.592–1.103) and a 95% confidence interval that crossed one and therefore did not reach “statistical significance” (Table 4 and Figure 3c). There was also no significant difference in SARS-CoV-2-related mortality between the two vaccination groups when limited to subgroups of age, CCI or White/Black race, or for follow-up periods extending to earlier dates or when analyzing separately outcomes that occurred before or after July 1, 2021.
Table 4

Comparison of Pfizer-BioNTech (BNT162b2) versus Moderna (mRNA-1273) vaccine recipients with respect to the risk of developing SARS-CoV-2-related death.

Type ofCOVID-19 vaccinationNPerson-daysSARS-CoV-2 death NSARS-CoV-2 mortality per 100,000 person-daysUnadjusted Hazard Ratio(95% CI)Adjusted Hazard Ratio†(95% CI)
All Persons, Follow-up extending to 3/31/21
BNT162b2902,23541,226,694770.18711
mRNA-1273902,23541,138,339790.1921.028(0.661–1.599)1.044(0.673–1.620)
All Persons, Follow-up extending to 6/30/21
BNT162b2902,235123,250,1611290.10511
mRNA-1273902,235123,178,6241150.0930.893(0.613–1.301)0.905(0.622–1.318)
All Persons, Follow-up extending to 8/25/21
BNT162b2902,235173,707,9882130.12311
mRNA-1273902,235173,648,4871680.0970.790(0.578–1.079)0.808(0.592–1.103)
SUB-GROUPS, Follow-up extending to 8/25/21
Age 18 to <65
BNT162b2298,55753,169,648110.02111
mRNA-1273299,27253,272,454160.0301.452(0.369–5.716)1.433(0.317–6.483)
Age 65 to <75
BNT162b2346,35467,714,989710.10511
mRNA-1273344,32367,225,166440.0660.626(0.359–1.089)0.633(0.360–1.111)
Age ≥ 75
BNT162b2257,32452,823,3511310.24811
mRNA-1273258,64053,150,8681080.2030.816(0.553–1.205)0.843(0.573–1.240)
CCI 0–1
BNT162b2410,65577,331,262270.03511
mRNA-1273413,69077,813,768210.0260.756(0.099–5.779)0.764(0.102–5.697)
CCI 2–4
BNT162b2296,03357,634,580380.06611
mRNA-1273293,61057,207,944410.721.093(0.580–2.061)1.143(0.597–2.188)
CCI ≥ 5
BNT162b2195,54738,742,1461480.38211
mRNA-1273194,93538,626,7751060.2750.721(0.503–1.033)0.739(0.515–1.060)
White persons
BNT162b2623,437120,923,0571720.14211
mRNA-1273636,466123,313,4241400.1130.799(0.570–1.120)0.823(0.587–1.153)
Black persons
BNT162b2179,80533,869,909310.09211
mRNA-1273171,45132,210,019220.0690.751(0.230–2.455)0.765(0.234–2.500)
Follow-up time period 07/01/2021 to 08/25/2021
BNT162b2899,98650,393,838840.16711
mRNA-1273899,98650,394,587530.1050.631(0.366–1.089)0.657(0.371–1.162)

*Adjusted for sex, age, race, ethnicity, urban/rural residence, CCI, diabetes, COPD, CKD, CHF, BMI and CAN score and stratified by VA region [VISN]. “Stratification” using STATA's strata option allows the baseline hazard function to differ by VISN under the constraint that the coefficients are equal across VISNs.

Comparison of Pfizer-BioNTech (BNT162b2) versus Moderna (mRNA-1273) vaccine recipients with respect to the risk of developing SARS-CoV-2-related death. *Adjusted for sex, age, race, ethnicity, urban/rural residence, CCI, diabetes, COPD, CKD, CHF, BMI and CAN score and stratified by VA region [VISN]. “Stratification” using STATA's strata option allows the baseline hazard function to differ by VISN under the constraint that the coefficients are equal across VISNs.

Comparison of BNT162b2 versus mRNA-1273 at 24 weeks after vaccination: risk difference and risk ratio

Calculation of risk differences at 24 weeks after vaccination confirmed lower absolute risk in the mRNA-1273 group compared to the BNT162b2 group in SARS-CoV-2 infection (−1.729 events/1000 persons), hospitalization (−0.559 events/1000 persons) and death (−0.032 events/1000 persons) (Table 5). Risk ratios at 24 weeks also confirmed lower risk of SARS-CoV-2 infection, hospitalization and death in mRNA-1273 versus BNT162b2. Detailed subgroup analyses of risk differences and risk ratios are shown in Supplementary Appendix-Supplementary Tables 2–4.
Table 5

Comparison of Pfizer-BioNTech (BNT162b2) versus matched Moderna (mRNA-1273) vaccine recipients (n = 902,235 in each group) with respect to the risk of developing SARS-CoV-2 infection, SARS-CoV-2-related hospitalization and SARS-CoV-2-related death over a 24-week time period since vaccination.

SARS-CoV-2 OutcomeNo. of Events24-wk Risk (95% CI)Risk Difference (95% CI)Risk Ratio (95% CI)
BNT162b2mRNA-1273BNT162b2mRNA-1273
Events/1000 personsEvents/1000 persons
Documented infection720656828.079(7.864 to 8.300)6.351(6.026 to 6.692)−1.729(−1.960 to −1.498)0.786(0.761 to 0.811
Hospitalization167911851.878(1.781 to 1.980)1.319(1.181 to 1.473−0.559(−0.672 to −0.446)0.702(0.652 to 0.753)
Death1501220.168(0.141 to 0.200)0.136(0.101 to 0.182)−0.032(−0.067 to 0.003)0.809(0.620 to 0.999)
Comparison of Pfizer-BioNTech (BNT162b2) versus matched Moderna (mRNA-1273) vaccine recipients (n = 902,235 in each group) with respect to the risk of developing SARS-CoV-2 infection, SARS-CoV-2-related hospitalization and SARS-CoV-2-related death over a 24-week time period since vaccination.

Results of negative outcome control: SARS-CoV-2 infection in the 10 days following first vaccine dose

Cumulative incidence of SARS-CoV-2 infection in the first 10 days following first vaccine dose was almost identical in the mRNA-1273 and BNT162b2 groups (Figure 3d and Table 1) suggesting absence of uncontrolled residual confounding.

Discussion

Our target trial emulation study performed in the national VA healthcare system comparing 902,235 BNT162b2 vaccine recipients and their matched counterparts who received mRNA-1273 with follow-up extending to August 25, 2021 demonstrated that mRNA-1273 recipients had a ∼26% reduction in the risk of SARS-CoV-2 infection (aHR 0.736, 95% CI 0.696–0.779) and a ∼37% reduction in the risk of SARS-CoV-2-related hospitalization (aHR 0.633, 95% CI 0.562–0.713) compared to BNT162b2 recipients. The magnitudes of these effects were similar across all age groups, comorbidity burden categories and white/black racial groups. The differences between mRNA-1273 and BNT162b2 in risk of infection or hospitalization were progressively greater when the follow-up period was longer, i.e. extending to March 31, versus June 30, versus August 25, 2021. These differences were even more pronounced when we analyzed separately the outcomes that occurred during the follow-up period from July 1 to August 25, 2021 when the Delta variant became predominant in the U.S. (aHR for infection 0.584, 95% CI 0.533–0.639 and aHR for hospitalization 0.387, 95% 0.311–0.482). SARS-CoV-2-related mortality was also lower in mRNA-1273 versus BNT162b2 recipients with an aHR of 0.808 (95% CI 0.592–1.103); however, this estimate had a broad confidence interval that crossed one. The absolute risks of all outcomes were low regardless of the vaccine received. Our findings complement and extend those of a recent comparative effectiveness target trial emulation study of BNT162b2 versus mRNA-1273 by Dickerman et al., which was also conducted using VA data, with some notable differences. First, we supplemented VA EHR data with Medicare data on additional SARS-CoV-2 infections (18.4%) and hospitalizations (34.6%) in VA enrollees that were not documented in VA data while Dickerman et al. did not. This would be expected to result in underestimation of absolute risk differences between mRNA-1273 and BNT162b2 in infection and hospitalization rates reported by Dickerman et al. Additionally, participants with SARS-CoV-2 infection prior to vaccination recorded only in Medicare data would not have been identified and appropriately excluded by Dickerman et al. The eligibility criteria and matching methods that we employed resulted in a much greater number of vaccine recipients retained as participants in the emulated trial (902,235/group versus 219,842/group) and a much greater number of outcomes during follow-up (16,890 versus 2016 infections, 3591 versus 411 hospitalizations and 381 versus 81 SARS-CoV-2-related deaths) compared to Dickerman et al. This was achieved without sacrificing the comparability of the matched comparison groups in baseline characteristics or negative outcome controls. This makes our results more generalizable and more precise, as well as enabling precise estimates among subgroups of age, CCI and race. We compared effectiveness over progressively longer follow-up periods and indeed showed greater differences between mRNA-1273 and BNT162b2 with longer follow-up, which was not addressed by Dickerman et al. (although this can be seen in the risk curves they provided). Our follow-up period for persons vaccinated up to March 25, 2021 extended to August 25, 2021 versus July 1, 2021 in Dickerman et al. This provided longer mean follow-up in our study (192 days versus 126 days) and also enabled assessment extending into the Delta predominant period (which began after July 1, 2021) for persons who were vaccinated many months before. A notable advantage of Dickerman et al. is that they conducted a second target trial with recruitment between July 1 to September 20 to specifically address the comparative effectiveness of the two vaccines against the Delta variant. It is reassuring that the two emulation studies that were performed completely independently both reported superiority of mRNA-1273 with regards to SARS-CoV-2-related infection and hospitalization. A number of test-negative, case-control studies of vaccine effectiveness in hospitalized patients suggested slightly lower vaccine effectiveness against SARS-CoV-2-related hospitalization for BNT162b2 than mRNA-1273.8,, For example, among 1175 U.S. Veterans hospitalized at 5 VA medical centers from February 1 to August 6, 2021, vaccine effectiveness was 83.4% (95% CI 74.0–89.4) for BNT162b2 and 91.6% (95% CI 83.5–95.7) for mRNA-12738; among 14,636 patients hospitalized across nine U.S. states during June-August 2021, vaccine effectiveness was 80.0% (95% CI 73–85) for BNT162b2 and 95% (95% CI 92–97) for mRNA-127311; and among 3689 patients hospitalized at 21 U.S. hospitals across 18 states during March 11-August 15, 2021, vaccine effectiveness was 88% (95% CI 85–91), for BNT162b2 and 93% (95% CI 91–95) for mRNA-1273.9 Our target trial emulation study design has the advantage of being able to directly compare the two vaccines with respect to risk of infection, hospitalization and death (rather than just hospitalization) and would be expected to more closely reflect the results of the randomized study that it explicitly attempted to emulate. Furthermore, the large study population and large number of outcomes allowed us to confirm that the difference between the two vaccines persisted across all age groups and comorbidity burden categories. A critical finding of our study is the widening gap between BNT162b2 and mRNA-1237 recipients with respect to risk of infection and hospitalization that was observed as the follow-up period extended from the time of vaccination until March 31 or June 30 or August 25, 2021(Tables 2 and 3). This widening gap may reflect a greater decline in protection over time after vaccination in BNT162b2 than in mRNA-1237 recipients, as was reported in a case-control study in which vaccine effectiveness against hospitalization of BNT162b2 dropped from 91% to 77% after 4 months but that of mRNA-1237 dropped only from 93% to 92%. Alternatively, this may also reflect a greater difference between mRNA-1237 and BNT162b2 in protection against the Delta variant (predominant after July 1) than the Alpha (B.1.1.7) variant (predominant before July 1). Indeed, the differences between mRNA-1273 and BNT162b2 in risk of infection or hospitalization were much greater when we analyzed separately the outcomes that occurred during the follow-up period after than before July 1, 2021. However, a test-negative, case-control study performed in the UK reported only a small decline in the effectiveness of BNT162b2 against symptomatic disease among persons with the Delta variant (88%, 95% CI 85.3–90.1) than persons with the Alpha variant (93.7%, 95% CI 91.6–95.3). Each dose of mRNA-1273 contains >3 times the dose of mRNA than BNT162b2 (100 µg versus 30 µg), which may elicit greater or longer-lasting immune responses. Recipients of mRNA-1273 had greater anti-receptor binding domain IgG levels than recipients of BNT162b2, although levels of anti-Spike IgG were similar. Differences between the two mRNA vaccines in dosing interval (28 days for mRNA-1273 and 21 days for BNT162b2) and composition of the lipid nanoparticles that protect and deliver the mRNA may also result in different levels of immunogenicity. These differences may inform the design of future mRNA vaccines for COVID-19, other viruses or other conditions, if indeed the two vaccines are further proven to have different effectiveness. Our study has several limitations. Despite a sophisticated matching methodology and adjustment for potential confounders, residual confounding (e.g. by geographic region smaller than VISN level) cannot be completely excluded in a non-randomized study. However, health seeking behaviors and prophylactic measures (masking, physical distancing, avoiding congregate settings) would be expected to be very similar when comparing matched groups of recipients of two different vaccines (rather than comparing vaccinated versus unvaccinated persons). In addition, our analysis of a negative outcome control suggested little confounding. While some additional infections (diagnosed or undiagnosed) and even hospitalizations undoubtedly occurred and were not captured in our analysis, we would expect this outcome misclassification to be nondifferential between the matched groups of BNT162b2 and mRNA-1273 vaccine recipients. Also, some hospitalizations and deaths that occurred following SARS-CoV-2 infection may have been unrelated to the infection. This outcome misclassification would also be expected to be nondifferential. Nondifferential outcome misclassification would be expected to produce bias towards the null, with minimal influence on relative measures of effect such as the aHRs that we reported. Our study population is predominantly male, which may limit the generalizability of our findings to women. Our analysis of outcomes limited to the time period of Delta predominance (July 1 to August 25, 2021) is potentially biased because it is limited to persons who remained alive and uninfected as of July 1, many months after “randomization”. However, if anything this would be expected to result in an attenuation in the difference between mRNA-1273 and BNT162b2 due to greater “depletion of susceptibles” in the less effective BNT162b2 group in the time period before July 127. In conclusion, although absolute rates infection, hospitalization and death in both vaccine groups were low, our findings suggest that vaccination with mRNA-1273 results in significantly lower rates of SARS-CoV-2-infection and SARS-CoV-2-related hospitalization than vaccination with BNT162b2, and these differences become more pronounced as time from vaccination accrues. The comparative effectiveness and safety of the two mRNA vaccines should continue to be studied, especially comparisons of “booster” doses of the two vaccines with observation extending to the time period of Omicron variant predominance, as they may inform decisions made by governments, healthcare systems and individuals regarding vaccine choices.

Contributors

GNI and KB designed the study. GNI and KB drafted the manuscript including figures and tables and ERL and PKG helped edit and revise the manuscript. All authors reviewed and agreed on the final version and all authors had access to the data. PKG and ERL acquired the data and curated analytic variables. ERL was responsible for project administration. KB was responsible for statistical analysis. GNI and KB interpreted the analyses and had final responsibility for the decision to submit for publication.

Declaration of interests

None of the authors has any conflicts of interest to disclose.
  24 in total

1.  Negative controls: a tool for detecting confounding and bias in observational studies.

Authors:  Marc Lipsitch; Eric Tchetgen Tchetgen; Ted Cohen
Journal:  Epidemiology       Date:  2010-05       Impact factor: 4.822

2.  Comparative Effectiveness of Moderna, Pfizer-BioNTech, and Janssen (Johnson & Johnson) Vaccines in Preventing COVID-19 Hospitalizations Among Adults Without Immunocompromising Conditions - United States, March-August 2021.

Authors:  Wesley H Self; Mark W Tenforde; Jillian P Rhoads; Manjusha Gaglani; Adit A Ginde; David J Douin; Samantha M Olson; H Keipp Talbot; Jonathan D Casey; Nicholas M Mohr; Anne Zepeski; Tresa McNeal; Shekhar Ghamande; Kevin W Gibbs; D Clark Files; David N Hager; Arber Shehu; Matthew E Prekker; Heidi L Erickson; Michelle N Gong; Amira Mohamed; Daniel J Henning; Jay S Steingrub; Ithan D Peltan; Samuel M Brown; Emily T Martin; Arnold S Monto; Akram Khan; Catherine L Hough; Laurence W Busse; Caitlin C Ten Lohuis; Abhijit Duggal; Jennifer G Wilson; Alexandra June Gordon; Nida Qadir; Steven Y Chang; Christopher Mallow; Carolina Rivas; Hilary M Babcock; Jennie H Kwon; Matthew C Exline; Natasha Halasa; James D Chappell; Adam S Lauring; Carlos G Grijalva; Todd W Rice; Ian D Jones; William B Stubblefield; Adrienne Baughman; Kelsey N Womack; Christopher J Lindsell; Kimberly W Hart; Yuwei Zhu; Lisa Mills; Sandra N Lester; Megan M Stumpf; Eric A Naioti; Miwako Kobayashi; Jennifer R Verani; Natalie J Thornburg; Manish M Patel
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2021-09-24       Impact factor: 35.301

3.  Trends Over Time in the Risk of Adverse Outcomes Among Patients With Severe Acute Respiratory Syndrome Coronavirus 2 Infection.

Authors:  George N Ioannou; Ann M O'Hare; Kristin Berry; Vincent S Fan; Kristina Crothers; McKenna C Eastment; Emily Locke; Pamela Green; Javeed A Shah; Jason A Dominitz
Journal:  Clin Infect Dis       Date:  2022-02-11       Impact factor: 9.079

4.  Accuracy and completeness of mortality data in the Department of Veterans Affairs.

Authors:  Min-Woong Sohn; Noreen Arnold; Charles Maynard; Denise M Hynes
Journal:  Popul Health Metr       Date:  2006-04-10

5.  An mRNA Vaccine against SARS-CoV-2 - Preliminary Report.

Authors:  Lisa A Jackson; Evan J Anderson; Nadine G Rouphael; Paul C Roberts; Mamodikoe Makhene; Rhea N Coler; Michele P McCullough; James D Chappell; Mark R Denison; Laura J Stevens; Andrea J Pruijssers; Adrian McDermott; Britta Flach; Nicole A Doria-Rose; Kizzmekia S Corbett; Kaitlyn M Morabito; Sijy O'Dell; Stephen D Schmidt; Phillip A Swanson; Marcelino Padilla; John R Mascola; Kathleen M Neuzil; Hamilton Bennett; Wellington Sun; Etza Peters; Mat Makowski; Jim Albert; Kaitlyn Cross; Wendy Buchanan; Rhonda Pikaart-Tautges; Julie E Ledgerwood; Barney S Graham; John H Beigel
Journal:  N Engl J Med       Date:  2020-07-14       Impact factor: 91.245

6.  Depletion-of-susceptibles bias in influenza vaccine waning studies: how to ensure robust results.

Authors:  M Lipsitch; E Goldstein; G T Ray; B Fireman
Journal:  Epidemiol Infect       Date:  2019-11-27       Impact factor: 2.451

7.  SARS-CoV-2 infection rates of antibody-positive compared with antibody-negative health-care workers in England: a large, multicentre, prospective cohort study (SIREN).

Authors:  Victoria Jane Hall; Sarah Foulkes; Andre Charlett; Ana Atti; Edward J M Monk; Ruth Simmons; Edgar Wellington; Michelle J Cole; Ayoub Saei; Blanche Oguti; Katie Munro; Sarah Wallace; Peter D Kirwan; Madhumita Shrotri; Amoolya Vusirikala; Sakib Rokadiya; Meaghan Kall; Maria Zambon; Mary Ramsay; Tim Brooks; Colin S Brown; Meera A Chand; Susan Hopkins
Journal:  Lancet       Date:  2021-04-09       Impact factor: 79.321

8.  BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting.

Authors:  Noa Dagan; Noam Barda; Eldad Kepten; Oren Miron; Shay Perchik; Mark A Katz; Miguel A Hernán; Marc Lipsitch; Ben Reis; Ran D Balicer
Journal:  N Engl J Med       Date:  2021-02-24       Impact factor: 91.245

9.  Risk Factors for testing positive for SARS-CoV-2 in a national US healthcare system.

Authors:  Vincent S Fan; Jason A Dominitz; McKenna C Eastment; Emily Locke; Pamela Green; Kristin Berry; Ann M O'Hare; Javeed A Shah; Kristina Crothers; George N Ioannou
Journal:  Clin Infect Dis       Date:  2020-10-27       Impact factor: 9.079

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  9 in total

1.  Effectiveness of mRNA COVID-19 Vaccine Boosters Against Infection, Hospitalization, and Death: A Target Trial Emulation in the Omicron (B.1.1.529) Variant Era.

Authors:  George N Ioannou; Amy S B Bohnert; Ann M O'Hare; Edward J Boyko; Matthew L Maciejewski; Valerie A Smith; C Barrett Bowling; Elizabeth Viglianti; Theodore J Iwashyna; Denise M Hynes; Kristin Berry
Journal:  Ann Intern Med       Date:  2022-10-11       Impact factor: 51.598

2.  SARS-CoV-2-mRNA Booster Vaccination Reverses Non-Responsiveness and Early Antibody Waning in Immunocompromised Patients - A Phase Four Study Comparing Immune Responses in Patients With Solid Cancers, Multiple Myeloma and Inflammatory Bowel Disease.

Authors:  Angelika Wagner; Erika Garner-Spitzer; Anna-Margarita Schötta; Maria Orola; Andrea Wessely; Ines Zwazl; Anna Ohradanova-Repic; Lukas Weseslindtner; Gabor Tajti; Laura Gebetsberger; Bernhard Kratzer; Elena Tomosel; Maximilian Kutschera; Selma Tobudic; Winfried F Pickl; Michael Kundi; Hannes Stockinger; Gottfried Novacek; Walter Reinisch; Christoph Zielinski; Ursula Wiedermann
Journal:  Front Immunol       Date:  2022-05-12       Impact factor: 8.786

3.  SARS-CoV-2 Vaccination and Myocarditis in a Nordic Cohort Study of 23 Million Residents.

Authors:  Øystein Karlstad; Petteri Hovi; Anders Husby; Tommi Härkänen; Randi Marie Selmer; Nicklas Pihlström; Jørgen Vinsløv Hansen; Hanna Nohynek; Nina Gunnes; Anders Sundström; Jan Wohlfahrt; Tuomo A Nieminen; Maria Grünewald; Hanne Løvdal Gulseth; Anders Hviid; Rickard Ljung
Journal:  JAMA Cardiol       Date:  2022-06-01       Impact factor: 30.154

4.  Comparative analysis of human immune responses following SARS-CoV-2 vaccination with BNT162b2, mRNA-1273, or Ad26.COV2.S.

Authors:  Dominique J Barbeau; Judith M Martin; Emily Carney; Emily Dougherty; Joshua D Doyle; Terence S Dermody; Alejandro Hoberman; John V Williams; Marian G Michaels; John F Alcorn; W Paul Duprex; Anita K McElroy
Journal:  NPJ Vaccines       Date:  2022-07-06       Impact factor: 9.399

5.  Evaluating risk factors associated with COVID-19 infections among vaccinated people early in the U.S. vaccination campaign: an observational study of five states, January-March 2021.

Authors:  Katrin S Sadigh; Kiersten J Kugeler; Sara Bressler; Stephanie C Massay; Emma Schmoll; Lauren Milroy; Alyson M Cavanaugh; Allison Sierocki; Marc Fischer; Leisha D Nolen
Journal:  BMC Infect Dis       Date:  2022-09-01       Impact factor: 3.667

6.  Factors Influencing Longevity of Humoral Response to SARS-CoV-2 Vaccination in Patients with End Stage Kidney Disease Receiving Renal Replacement Therapy.

Authors:  Irena Glowinska; Barbara Labij-Reduta; Jerzy Juzwiuk; Magdalena Lukaszewicz; Adam Pietruczuk; Agata Poplawska; Anna Daniluk-Jamro; Katarzyna Kakareko; Alicja Rydzewska-Rosolowska; Beata Naumnik; Ewa Koc-Zorawska; Marcin Zorawski; Tomasz Hryszko
Journal:  J Clin Med       Date:  2022-08-25       Impact factor: 4.964

Review 7.  A Systematic Review and Meta-analysis of the Association Between SARS-CoV-2 Vaccination and Myocarditis or Pericarditis.

Authors:  Juan Gao; Linya Feng; Yaru Li; Scott Lowe; Zhichun Guo; Rachel Bentley; Chuman Xie; Birong Wu; Peng Xie; Weihang Xia; Shaodi Ma; Haixia Liu; Xianwei Guo; John Patrick N Uy; Qin Zhou; Hina Wazir; Chenyu Sun
Journal:  Am J Prev Med       Date:  2022-09-26       Impact factor: 6.604

8.  Third wave COVID-19 delta variant breakthrough infection in a Hispanic-dominant suburb of Miami, Florida: ethical dilemma and vaccination hesitancy.

Authors:  Sam Kara; Gavrilo Lazovic; Farah Chohan; Jannel A Lawrence; Mahnoor Sukaina; Omoyeme Edaki; Kester Nedd
Journal:  Ther Adv Vaccines Immunother       Date:  2022-10-08

9.  Real-world comparative effectiveness of mRNA-1273 and BNT162b2 vaccines among immunocompromised adults identified in administrative claims data in the United States.

Authors:  Katherine E Mues; Brenna Kirk; Deesha A Patel; Alice Gelman; L Scott Chavers; Carla A Talarico; Daina B Esposito; David Martin; James Mansi; Xing Chen; Nicolle M Gatto; Nicolas Van de Velde
Journal:  Vaccine       Date:  2022-09-23       Impact factor: 4.169

  9 in total

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