Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53807, first published .
Ischemic Stroke After Bivalent COVID-19 Vaccination: Self-Controlled Case Series Study

Ischemic Stroke After Bivalent COVID-19 Vaccination: Self-Controlled Case Series Study

Ischemic Stroke After Bivalent COVID-19 Vaccination: Self-Controlled Case Series Study

Original Paper

1Department of Research & Evaluation, Southern California Permanente Medical Group, Pasadena, CA, United States

2School of Mathematics and Statistics, The Open University, United Kingdom

3Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, United States

4Kaiser Permanente Vaccine Study Center, Kaiser Permanente Northern California, Oakland, CA, United States

Corresponding Author:

Stanley Xu, PhD

Department of Research & Evaluation

Southern California Permanente Medical Group

100 S Los Robles

Pasadena, CA, 91101

United States

Phone: 1 6265643958

Email: stan.xu@kp.org


Background: The potential association between bivalent COVID-19 vaccination and ischemic stroke remains uncertain, despite several studies conducted thus far.

Objective: This study aimed to evaluate the risk of ischemic stroke following bivalent COVID-19 vaccination during the 2022-2023 season.

Methods: A self-controlled case series study was conducted among members aged 12 years and older who experienced ischemic stroke between September 1, 2022, and March 31, 2023, in a large health care system. Ischemic strokes were identified using International Classification of Diseases, Tenth Revision codes in emergency departments and inpatient settings. Exposures were Pfizer-BioNTech or Moderna bivalent COVID-19 vaccination. Risk intervals were prespecified as 1-21 days and 1-42 days after bivalent vaccination; all non–risk-interval person-time served as the control interval. The incidence of ischemic stroke was compared in the risk interval and control interval using conditional Poisson regression. We conducted overall and subgroup analyses by age, history of SARS-CoV-2 infection, and coadministration of influenza vaccine. When an elevated risk was detected, we performed a chart review of ischemic strokes and analyzed the risk of chart-confirmed ischemic stroke.

Results: With 4933 ischemic stroke events, we found no increased risk within the 21-day risk interval for the 2 vaccines and by subgroups. However, risk of ischemic stroke was elevated within the 42-day risk interval among individuals aged younger than 65 years with coadministration of Pfizer-BioNTech bivalent and influenza vaccines on the same day; the relative incidence (RI) was 2.13 (95% CI 1.01-4.46). Among those who also had a history of SARS-CoV-2 infection, the RI was 3.94 (95% CI 1.10-14.16). After chart review, the RIs were 2.34 (95% CI 0.97-5.65) and 4.27 (95% CI 0.97-18.85), respectively. Among individuals aged younger than 65 years who received Moderna bivalent vaccine and had a history of SARS-CoV-2 infection, the RI was 2.62 (95% CI 1.13-6.03) before chart review and 2.24 (95% CI 0.78-6.47) after chart review. Stratified analyses by sex did not show a significantly increased risk of ischemic stroke after bivalent vaccination.

Conclusions: While the point estimate for the risk of chart-confirmed ischemic stroke was elevated in a risk interval of 1-42 days among individuals younger than 65 years with coadministration of Pfizer-BioNTech bivalent and influenza vaccines on the same day and among individuals younger than 65 years who received Moderna bivalent vaccine and had a history of SARS-CoV-2 infection, the risk was not statistically significant. The potential association between bivalent vaccination and ischemic stroke in the 1-42–day analysis warrants further investigation among individuals younger than 65 years with influenza vaccine coadministration and prior SARS-CoV-2 infection. Furthermore, the findings on ischemic stroke risk after bivalent COVID-19 vaccination underscore the need to evaluate monovalent COVID-19 vaccine safety during the 2023-2024 season.

JMIR Public Health Surveill 2024;10:e53807

doi:10.2196/53807

Keywords



On August 31, 2022, the US Food and Drug Administration (FDA) granted emergency use authorizations for the Pfizer-BioNTech bivalent COVID-19 vaccine for individuals aged 12 years and older and the Moderna bivalent COVID-19 vaccine for individuals aged 18 years and older [1,2]. The bivalent vaccines contain messenger ribonucleic acid (mRNA) components derived from both the original strain of SARS-CoV-2 and the Omicron variant BA.4 and BA.5 sublineages. Designed to be administered as a single booster dose, bivalent COVID-19 vaccines were recommended to be given ≥60 days after either the primary vaccination or a monovalent booster dose [2]. In the context of waning protection from primary vaccination, bivalent vaccines enhanced the immune response and boosted protection against the virus, offering an additional layer of defense for previously vaccinated individuals [3-5].

Safety data for bivalent mRNA COVID-19 vaccines were initially limited. Because the chemical components and production processes between monovalent and bivalent vaccines were similar, the FDA granted emergency use authorizations for the bivalent COVID-19 vaccines based on safety data for monovalent vaccines, as well as limited bivalent safety data from clinical trials [1,2]. To monitor safety postlicensure, a study using V-safe and the Vaccine Adverse Event Reporting System (VAERS) examined bivalent booster vaccinations in individuals aged older than or equal to 12 years and found that the safety profile was similar to that described for monovalent booster vaccinations [6]. A recent study that comprehensively assessed potential adverse events associated with bivalent vaccines using TreeScan in the Vaccine Safety Datalink (VSD) network found no increased risk for a broad range of adverse events [7].

The VSD has monitored COVID-19 vaccine safety since vaccinations began in December 2020 [8]. In late 2022, VSD’s rapid cycle analyses detected a safety signal for ischemic stroke following the Pfizer-BioNTech COVID-19 bivalent booster vaccination among those 65 years and older, particularly among those who had received a bivalent booster dose and a high-dose or adjuvanted influenza vaccine on the same day (coadministration) [9]. The US Centers for Disease Control and Prevention (CDC) and FDA announced this safety signal in January 2023 [10]. This safety signal attenuated as data accumulated [11]. Another cohort study among adults aged 65 years and older reported that those who received the Pfizer-BioNTech bivalent booster had a similar hazard for ischemic stroke encounters compared to those who received the Moderna bivalent booster vaccine, but had a lower hazard than those who received the Pfizer-BioNTech or Moderna monovalent boosters [12]. In another study, compared to monovalent vaccination, bivalent vaccination was not found to be associated with an increased risk of ischemic stroke, hemorrhagic stroke, myocardial infarction, and pulmonary embolism [13]. A self-controlled case series (SCCS) study conducted in England showed no indication of an increased risk of ischemic stroke risk within 21 days following administration of either of the 2 mRNA COVID-19 bivalent vaccines. Similar findings were observed for individuals aged 65 years and older who received the influenza vaccine concurrently with the bivalent COVID-19 vaccines [14]. Another SCCS study conducted in Israel also did not find an increased risk of ischemic stroke following monovalent or bivalent mRNA COVID-19 vaccine boosters in at-risk populations [15]. A study of Medicare beneficiaries aged 65 years or older showed no significantly elevated risk for stroke immediately after receiving either COVID-19 bivalent vaccine [16]. However, among beneficiaries who had a stroke after getting either COVID-19 bivalent vaccine along with a high-dose or adjuvanted influenza vaccine, there was a significant association between vaccination and nonhemorrhagic stroke within 22 to 42 days for the Pfizer-BioNTech COVID-19 bivalent vaccine. Additionally, there was a significant association between vaccination and transient ischemic attack within 1 to 21 days for the Moderna COVID-19 bivalent vaccine.

The objective of this study was to assess the risk of ischemic stroke after bivalent COVID-19 vaccination among individuals enrolled in Kaiser Permanente Southern California (KPSC) using a modified SCCS design. Subgroup analyses were also conducted by age (younger than 65 years vs older than or equal to 65 years), history of SARS-CoV-2 infection, and coadministration of influenza vaccine.


Study Population and Study Period

We conducted an SCCS study among members aged 12 years and older from KPSC, a large integrated health care system in the United States. The SCCS method is an alternative to standard epidemiological study designs and has been used for evaluating vaccine safety and in fields such as pharmacoepidemiology [17-21]. In an SCCS study, only individuals who have experienced an event are included. Since individuals serve as their own control and the incidence rates of the outcome of interest are compared within individuals, all time-invariant confounding variables are controlled. The SCCS analytic data sets included individuals who experienced ischemic stroke events between September 1, 2022, and March 31, 2023, had completed a COVID-19 vaccine primary series, and had received their last monovalent dose ≥60 days before September 1, 2022. We required KPSC membership on September 1, 2022.

Exposure and Observation Period

The exposure was defined as the administration of the Pfizer-BioNTech bivalent COVID-19 vaccine (for individuals aged 12 years and older ) or the Moderna bivalent COVID-19 vaccine (for individuals aged 18 years and older) between September 1, 2022, and March 31, 2023. The observation period for the recipients of a bivalent COVID-19 vaccine started on September 1, 2022, and ended on March 31, 2023, or upon death, receipt of the second bivalent dose, or disenrollment, whichever came first.

To adjust for seasonality, we also included ischemic stroke events occurring among eligible individuals aged 12 years and older who had completed a primary series and had received their last monovalent dose ≥60 days before September 1, 2022, but who did not receive a bivalent vaccine during September 1, 2022, to March 31, 2023 (nonbivalent recipients; NBRs). The observation period for ischemic stroke events among NBR started on September 1, 2022, and ended on March 31, 2023, or upon death or disenrollment, whichever came first.

Outcome

The outcome was defined as the first occurrence of an ischemic stroke event between September 1, 2022, and March 31, 2023 [22]. Ischemic stroke events were identified through medical encounters with an International Classification of Diseases, Tenth Revision (ICD-10) diagnosis code of G45.8, G45.9, or I63.x, where x represents any additional characters in the ICD-10 code range for ischemic stroke, in the emergency departments or inpatient settings. We also looked back 30 days prior to September 1, 2022, to ensure that the episode was incident. We excluded ischemic stroke events due to other possible causes and adjusted the onset date (details in Multimedia Appendix 1). We considered these ischemic stroke events that were identified with ICD-10 codes to be electronically identified ischemic stroke events.

Covariates

We collected demographic variables (age, sex, and race or ethnicity) and the Charlson Comorbidity Index to describe the characteristics of the study population, as well as concomitant influenza vaccination during the study period and history of SARS-CoV-2 infection in the year prior to September 1, 2022.

Statistical Analyses

We assessed the risk of ischemic stroke following the administration of the Pfizer-BioNTech and Moderna bivalent COVID-19 vaccines separately. Demographic characteristics of individuals who experienced ischemic stroke events during the study period were described among Pfizer-BioNTech bivalent vaccine recipients, Moderna bivalent vaccine recipients, and NBRs.

The risk intervals were prespecified as 1-21 days and 1-42 days after administration of bivalent COVID-19 vaccines, with person-time outside of these risk intervals serving as the control interval. The risk intervals started on the day of vaccination (day 1). Because individuals who had ischemic stroke events might be likely to postpone or avoid bivalent vaccination, we used a modified SCCS approach for event-dependent exposures [22]. The modified SCCS used a pseudo-likelihood approach in the counterfactual framework to estimate the relative incidence (RI) and 95% CIs of events comparing the risk intervals to their corresponding control intervals by maximizing a Poisson pseudolikelihood [23]. In the SCCS analyses, ischemic stroke events occurring among eligible individuals who did not receive the bivalent vaccines were included to account for seasonality, by incorporating calendar month into the model [22]. Given that age did not significantly vary during the relatively short observation period of 7 months, it was not adjusted as a time-varying covariate.

Additionally, we performed several subgroup analyses based on age (younger than 65 vs 65 years and older), coadministration of bivalent COVID-19 vaccine with same-day influenza vaccine (yes or no), and history of SARS-CoV-2 infection (confirmed by a positive laboratory test or a COVID-19 diagnosis) within 1 year prior to September 1, 2022.

When a safety signal (ie, the lower bound of the 95% CI for RI exceeded 1.0) was detected in analyses of electronically identified ischemic stroke events, we conducted a chart review among recipients of bivalent COVID-19 vaccines to confirm ischemic stroke events and identify onset date to determine whether confirmed ischemic stroke events fell in the risk or control interval; confirmation rates were then calculated (number of confirmed events divided by the number of electronically identified events reviewed). We did not conduct a chart review on ischemic stroke events among NBR due to the large number of events in this group and limited resources. In analyses of confirmed ischemic stroke events among recipients of bivalent COVID-19 vaccines, we introduced a randomized allocation of confirmed case status to the NBR group. This allocation was guided by the confirmation rates observed among recipients of bivalent COVID-19 vaccines, as outlined by Xu et al [24]. A total of 5 simulated data sets were generated to replicate the allocation process. The SCCS analyses were conducted on each data set, and the resulting estimates were aggregated using Rubin’s [25] rule, which accounts for both the variability within individual data sets and the variability across multiple data sets. Attributable risk (AR) was calculated using the approach described in Farrington et al [26]:

Here, RI is the relative incidence; nR is the number of ischemic stroke events in the risk interval; and N is the number of recipients of a vaccine or dose. The reciprocal of AR is the number needed to harm (NNH). Analyses were conducted using SAS (version 9.4; SAS Institute) and the SCCS models were fitted with the R package (R Core Team) SCCS [27].

Ethical Considerations

Ethics approval for this study was obtained from the KPSC institutional review board on June 6, 2023. In accordance with 45CFR 46.116, informed consent was waived by the institutional review board because the research activities (secondary analyses of electronic health records data) presented no more than minimal risk to participants. Patients or members of the public were not involved in the design, conduct, reporting, or dissemination plans of the research. To protect the privacy and confidentiality of human participants, all staff working on the research study were trained in procedures to protect the privacy of medical record information. All research data were stored behind a firewall in a password-protected network within the Department of Research & Evaluation at KPSC. Study participants were not compensated given the observational nature of the study.


Characteristics of Individuals Who Had Ischemic Stroke Events

Table 1 shows the characteristics of individuals who had ischemic stroke events. In total, there were 1057 ischemic stroke events among recipients of the Pfizer-BioNTech bivalent vaccine with a mean length of observation period of 204 (SD 27) days (ranging from 16 to 212 days), 827 ischemic stroke events among recipients of the Moderna bivalent vaccine with a mean length of observation period of 206 (SD 24) days (ranging from 31 to 212 days), and 3049 ischemic stroke events among NBR with a mean length of observation period of 197 (SD 40) days (ranging from 11 to 212 days). Notably, the majority of ischemic stroke events occurred among individuals aged 65 years or older. Those aged younger than 65 years old had fewer comorbidities than those aged 65 years or older (Multimedia Appendix 2).

Table 1. Characteristics of individuals who had ischemic stroke events among members of Kaiser Permanente Southern California during the period from September 1, 2022, to March 31, 2023.

Recipients of Pfizer-BioNTech bivalent COVID-19 vaccine (n=1057)Recipients of Moderna bivalent COVID-19 vaccine (n=827)Nonrecipients of bivalent vaccines (n=3049)
Age (years), n (%)

12-171 (0.1)N/Aa6 (0.2)

18-4432 (3.0)15 (1.8)261 (8.6)

45-64245 (23.2)177 (21.4)1011 (33.2)

65-74618 (58.5)501 (60.6)1406 (46.1)

≥75161 (15.2)134 (16.2)365 (12.0)
Sex, n (%)

Female540 (51.1)446 (53.9)1637 (53.7)

Male517 (48.9)381 (46.1)1412 (46.3)
Race or ethnicity, n (%)

Hispanic311 (29.4)259 (31.3)1186 (38.9)

Non-Hispanic White470 (44.5)326 (39.4)1027 (33.7)

Non-Hispanic Asian119 (11.3)99 (12.0)270 (8.9)

Non-Hispanic Black139 (13.1)120 (14.5)472 (15.5)

Missing6 (0.6)9 (1.1)37 (1.2)

Multiple or other12 (1.1)14 (1.7)57 (1.9)
Length of observation period in days, mean (SD)204.3 (26.8)205.7 (23.5)196.7 (39.9)
Death, n (%)50 (4.7)37 (4.5)309 (10.1)

aN/A: not applicable.

Risk of Ischemic Stroke Following the Pfizer-BioNTech Bivalent COVID-19 Vaccine

For the Pfizer-BioNTech bivalent COVID-19 vaccine, there were 103 electronically identified ischemic stroke events in the 21-day postvaccination risk interval, 954 events in the control interval, and 3049 events among NBR; the overall RI was 0.90 (95% CI 0.73-1.12; Multimedia Appendix 3). The RI was not significantly above 1 across all subgroup analyses by age, coadministration of influenza vaccine, and history of SARS-CoV-2 infection.

In analyses extending the risk interval to 1-42 days following bivalent vaccination, the overall RI was 0.97 (95% CI 0.81-1.15; Table 2). However, in subgroup analyses using the 1-42–day risk interval, we observed an increased risk of ischemic stroke only among individuals younger than 65 years of age who also received an influenza vaccine on the same day. The RI in this subgroup was 2.13 (95% CI 1.01-4.46). Among the subset who also had a documented history of SARS-CoV-2 infection within the year preceding the study period, the RI increased to 3.94 (95% CI 1.10-14.16).

In this 1-42–day risk interval analysis of the specific subgroup of individuals aged younger than 65 years who received bivalent and influenza vaccines on the same day, chart review of the 37 electronically identified ischemic stroke events found that 2 were determined to be hemorrhagic strokes and 11 were subsequently found to not meet the criteria for true ischemic stroke events, yielding a confirmation rate of 65% (n=24). With the verified 24 ischemic stroke events and ischemic stroke events among NBR (not verified through chart review, but adjusted for using a 65% confirmation rate), we proceeded to reevaluate the RI in this subgroup. The number of confirmed ischemic stroke events was graphed over the interval in days between bivalent vaccination and ischemic stroke event (Figure 1). There were 10 events in the 1-42–day risk interval and 14 events in the control interval. Using a risk interval of 1-42 days after coadministration of the Pfizer-BioNTech bivalent vaccine and influenza vaccine, the overall RI derived from analyzing confirmed ischemic stroke events among those aged younger than 65 years was 2.34 (95% CI 0.97-5.65; P=.06; Table 3). Between September 1, 2022, and March 31, 2023, a total of 117,423 individuals aged younger than 65 years received the Pfizer-BioNTech bivalent vaccine and influenza vaccine on the same day. According to the equation, AR=4.88×10–5 and NNH=20,505 with a risk interval of 1-42 days. Among 21,128 individuals who also had a documented history of SARS-CoV-2 infection within the year preceding the study period, the RI increased to 4.27 (95% CI 0.97-18.85; P=.06; Table 3); according to the equation, AR=1.45×10–4 and NNH=6897 with a risk interval of 1-42 days. Among the 10 confirmed ischemic stroke events in the risk interval of 1-42 days, the mean age was 58 (SD 5) years, ranging from 48 to 63 years. Among these cases, 2 individuals had a documented history of previous ischemic stroke, and no one died as of March 31, 2023. In addition, 7 received the standard dose, egg-based quadrivalent influenza vaccine, while 3 received an influenza vaccine of unknown formulation.

Table 2. Numbers of electronically identified ischemic stroke events and relative incidences in the 42 days after Pfizer-BioNTech bivalent COVID-19 vaccination among members of Kaiser Permanente Southern California during the period from September 1, 2022, to March 31, 2023.

All ages<65 years old≥65 years old

Number of events, nRelative incidence (95% CI)Number of events, nRelative incidence (95% CI)Number of events, nRelative incidence (95% CI)

Risk intervalControl intervalNBRsa
Risk intervalControl intervalNBRs
Risk intervalControl intervalNBRs
All recipients

Overall21284530490.97 (0.81-1.15)5022812780.98 (0.69-1.38)16261717710.96 (0.79-1.17)

With history of SARS-CoV-2b351395650.98 (0.66-1.47)15532921.22 (0.64-2.33)20862730.83 (0.50-1.40)

Without history of SARS-CoV-217770624840.97 (0.80-1.17)351759860.91 (0.61-1.38)14253114980.99 (0.80-1.22)
Coadministration of influenza vaccine

Overall4112630490.97 (0.66-1.41)152212782.13 (1.01-4.46)2610417710.75 (0.47-1.19)

With history of SARS-CoV-2b9205651.26 (0.56-2.82)642923.94 (1.10-14.16)3162730.51 (0.14-1.90)

Without history of SARS-CoV-23210624840.91 (0.59-1.40)9189861.57 (0.61-4.05)238814980.80 (0.49-1.31)
No coadministration of influenza vaccine

Overall17171930490.96 (0.80-1.17)3520612780.81 (0.54-1.20)13651317711.01 (0.81-1.25)

With history of SARS-CoV-2b261195650.89 (0.56-1.40)9492920.82 (0.37-1.80)17702730.88 (0.50-1.55)

Without history of SARS-CoV-214560024840.99 (0.80-1.22)261579860.82 (0.52-1.29)11944314981.04 (0.82-1.31)

aNBR: nonbivalent recipient. These were eligible individuals who did not receive a bivalent vaccine but had completed a primary series of COVID-19 vaccination and had their last monovalent dose ≥60 days before September 1, 2022. Inclusion of these events helps to adjust for temporal trends (seasonality). The same NBR population was used in overall bivalent analyses, as well as bivalent analyses stratified by coadministration of influenza vaccine.

bHad SARS-CoV-2 infection (ie, SARS-CoV-2 positive laboratory test or a COVID-19 diagnosis) during the year prior (August 31, 2021-August 31, 2022).

Figure 1. Number of confirmed ischemic stroke events over the interval in days between bivalent vaccination and ischemic stroke event among those who received the Pfizer-BioNTech bivalent vaccine and influenza vaccine on the same day among members of Kaiser Permanente Southern California during the period from September 1, 2022, to March 31, 2023.
Table 3. Numbers of confirmeda ischemic stroke events among recipients of the Pfizer-BioNTech bivalent COVID-19 vaccine aged <65 years, and relative incidences in the 42 days after coadministration of bivalent and influenza vaccines among members of Kaiser Permanente Southern California during the period from September 1, 2022, to March 31, 2023.

Number of events, nRelative incidence (95% CI)

Risk intervalControl intervalNBRsb
Overall10148352.34 (0.97-5.65)
With history of SARS-CoV-2c431904.27 (0.97-18.85)
Without history of SARS-CoV-26116451.76 (0.57-5.45)

aConfirmation by chart review.

bNBR: nonbivalent recipient. These were eligible individuals who did not receive a bivalent vaccine but had completed a primary series of COVID-19 vaccination and had their last monovalent dose ≥60 days before September 1, 2022. Inclusion of these events helps to adjust for temporal trends (seasonality). A confirmation rate of 65% was applied to ischemic stroke events among NBR.

cHad SARS-CoV-2 infection (ie, SARS-CoV-2 positive laboratory test or a COVID-19 diagnosis) during the year prior (August 31, 2021-August 31, 2022).

Risk of Ischemic Stroke Following the Moderna Bivalent COVID-19 Vaccine

When using a risk interval of 21 days following Moderna bivalent vaccination, the overall risk of ischemic stroke was not elevated from the analysis of electronically identified ischemic stroke events (RI=0.91, 95% CI 0.71-1.15), a finding that held true across all subgroup analyses by age, coadministration of influenza vaccine, and history of SARS-CoV-2 infection (Multimedia Appendix 4). However, extending the risk interval to 42 days after Moderna bivalent vaccination showed an increased risk of ischemic stroke among individuals younger than 65 years of age who had a documented history of SARS-CoV-2 infection, with an RI of 2.62 (95% CI 1.13-6.03). This subgroup involved a total of 36 ischemic stroke events among recipients of the Moderna bivalent COVID-19 vaccine (Table 4).

Of the 36 ischemic stroke events, 1 was a hemorrhagic stroke and 12 were not confirmed as true events through medical chart review, yielding a confirmation rate of 64% (n=23). After using a risk interval of 1-42 days following the Moderna bivalent vaccination and applying a 64% confirmation rate to ischemic stroke events among NBR, the RI derived from analyzing confirmed ischemic stroke events among those aged younger than 65 years who had a documented history of SARS-CoV-2 infection was 2.24 (95% CI 0.78-6.47; P=.14).

Table 4. Numbers of electronically identified ischemic stroke events and relative incidences in the 42 days after Moderna bivalent COVID-19 vaccination among members of Kaiser Permanente Southern California during the period from September 1, 2022, to March 31, 2023.

All ages<65 years old≥65 years old

Number of events, nRelative incidence (95% CI)Number of events, nRelative incidence (95% CI)Number of events, nRelative incidence (95% CI)

Risk intervalControl intervalNBRsa
Risk intervalControl intervalNBRs
Risk intervalControl intervalNBRs
All recipients

Overall16166630490.92 (0.76-1.12)3415812780.99 (0.64-1.53)12750817710.90 (0.72-1.13)

With history of SARS-CoV-2b281115651.02 (0.66-1.59)10262922.62 (1.13-6.03)18852730.71 (0.42-1.19)

Without history of SARS-CoV-213355524840.90 (0.72-1.12)241329860.73 (0.43-1.23)10942314980.95 (0.74-1.21)
Coadministration of influenza vaccine, overall

Overall197230490.80 (0.45-1.43)82012781.42 (0.59-3.43)115217710.60 (0.28-1.29)

With history of SARS-CoV-2b3145650.59 (0.15-2.30)342922.43 (0.54-10.87)010273N/Ac

Without history of SARS-CoV-2165824840.85 (0.45-1.63)5169861.05 (0.36-3.08)114214980.80 (0.36-1.76)
No coadministration of influenza vaccine, overall

Overall14259430490.94 (0.76-1.16)2613812780.89 (0.54-1.47)11645617710.95 (0.75-1.19)

With history of SARS-CoV-2b25975651.11 (0.69-1.76)7222922.69 (0.98-7.36)18752730.83 (0.49-1.42)

Without history of SARS-CoV-211749724840.91 (0.71-1.15)191169860.67 (0.37-1.21)9838114980.97 (0.75-1.26)

aNBR: nonbivalent recipient. These were eligible individuals who did not receive a bivalent vaccine but had completed a primary series of COVID-19 vaccination and had their last monovalent dose ≥60 days before September 1, 2022. Inclusion of these events helps to adjust for temporal trends (seasonality). The same NBR population was used in overall bivalent analyses, as well as bivalent analyses stratified by coadministration of influenza vaccine.

bHad SARS-CoV-2 infection (ie, SARS-CoV-2 positive laboratory test or a COVID-19 diagnosis) during the year prior (August 31, 2021-August 31, 2022).

cN/A: not applicable.

Sex-Stratified Analyses

Further analyses were conducted to examine if the risk of ischemic stroke after bivalent vaccination differed by sex for those analyses indicating a potential increase in risk of ischemic stroke (Multimedia Appendix 5). The risk of ischemic stroke was not significantly increased after bivalent vaccination in the sex-stratified analyses. Due to limited sample sizes, the CIs of RIs were wide. The SAS and R codes are available for preparing data and fitting the event-dependent SCCS models (Multimedia Appendix 6).


Principal Findings

These SCCS analyses did not find evidence that the risk of ischemic stroke was elevated during the 1-21–day postvaccination risk interval in both overall and subgroup analyses by age (younger than 65 years vs 65 years or older), prior history of SARS-CoV-2 infection, and coadministration of influenza vaccine, for both Pfizer-BioNTech and Moderna bivalent vaccines. However, based on electronically identified events, the risk of ischemic stroke was increased within the 1-42–day window after vaccination among those aged younger than 65 years who received their Pfizer-BioNTech bivalent vaccine and influenza vaccine on the same day; the risk was even higher among those who also had a documented SARS-CoV-2 infection history. After conducting a chart review of ischemic stroke events, the point estimate for the risk of ischemic stroke was still elevated in a risk interval of 1-42 days for these 2 subgroup analyses but did not meet the threshold for statistical significance (P=.06).

For Moderna bivalent vaccination, an initial increase in the risk of ischemic stroke emerged within the 1-42–day window after vaccination among those aged younger than 65 years who had a documented SARS-CoV-2 infection history. However, after conducting a chart review of ischemic stroke events, the RI was 2.24 but was no longer statistically significantly elevated possibly due to a decreased sample size (P=.14).

Our study showed an increased point estimate for the risk of ischemic stroke in a risk interval of 1-42 days only among those aged younger than 65 years who received their Pfizer-BioNTech bivalent vaccine and influenza vaccine on the same day, although not statistically significant. This finding is unique and may be attributed to differences in the study design compared to previous studies. First, our study used a calendar-based observation period spanning from September 1, 2022, to March 31, 2023. This extended timeframe enabled us to use a longer risk window of 1-42 days following vaccination in addition to the risk interval of 1-21 days in previous studies. Second, we did not exclude individuals with a history of ischemic stroke, but we did apply criteria to increase the likelihood that ischemic stroke events during the study period represented a new ischemic stroke episode. Nevertheless, it is possible that there was interaction between bivalent vaccination and a history of ischemic stroke. Furthermore, in subgroup analyses, we considered the influence of the history of SARS-CoV-2 infection. SARS-CoV-2 infection is associated with an increased risk of ischemic stroke [28,29] and risk factors for SARS-CoV-2 infection may overlap with risk factors for ischemic stroke. There is a potential interaction between bivalent vaccination and a history of SARS-CoV-2 infection. The finding that the point estimate for the risk of ischemic stroke was elevated among individuals aged younger than 65 years but not among individuals aged 65 years or older is also biologically plausible. This may be due to the relatively heightened immune response and subsequent inflammation in the younger age group versus the older age group, and the fact that inflammation has been shown to be associated with an increased risk of ischemic stroke [30,31]. Moreover, a smaller proportion of younger adults opted for bivalent vaccination [32], and those who did might have had a higher prevalence of comorbidities or poorer overall health status.

Limitations and Strengths

This study had several limitations. First, the study took place in a single health care system. Additionally, the number of ischemic stroke events in individuals with a documented SARS-CoV-2 infection history who received coadministration of Pfizer-BioNTech bivalent vaccine and influenza vaccine was very small. This raises concerns about the validity of the asymptotic large sample assumptions that underlie both the 95% CIs and P values. Second, we did not conduct a chart review of ischemic stroke events among NBR; these events contributed to establishing baseline rates of ischemic stroke events during the study period. In addressing this issue, when analyzing chart-confirmed ischemic stroke events among recipients of bivalent vaccine, we applied the confirmation rate of ischemic stroke events among recipients of bivalent vaccine to ischemic stroke events among NBR. Moreover, we also did not undertake a chart review of ischemic stroke events from those analyses when safety signals were absent. Third, while we excluded ischemic stroke events occurring within 30 days of SARS-CoV-2 infection, it is possible that some ischemic stroke events included in the analyses involved individuals with asymptomatic or mild COVID-19 disease who did not have a documented SARS-CoV-2 infection. Fourth, the elevated point estimate for the risk of ischemic stroke, while not statistically significant, was observed within the 1-42–day period following the coadministration of the Pfizer-BioNTech bivalent vaccine and influenza vaccine. This risk interval was longer than the 1-21 days or 1-28 days investigated in earlier research [10,13,33]. However, the biological plausibility for the occurrence of a vaccine-related ischemic stroke beyond 28 days remains uncertain. Fifth, unaccounted time-varying confounders could have also influenced the findings. Finally, our analysis did not adjust for multiple subgroup analyses by age, coadministration of bivalent COVID-19 vaccine and influenza vaccine, and history of SARS-CoV-2 infection. These specific subgroup analyses were prespecified due to their potential safety concerns. The decision not to make multiple comparison adjustments was deliberate, aimed at ensuring that any potential vaccine safety concern could be detected.

The study also had several strengths. First, we addressed the impact of previous ischemic stroke events on bivalent COVID-19 vaccination by using an event-dependent modified SCCS design. Second, we explored effect heterogeneity by conducting subgroup analyses based on factors such as age, documented history of SARS-CoV-2 infection, and coadministration of influenza vaccine. Third, to adjust for temporal trends, we included ischemic stroke events among NBR. This strategy not only enhanced the accuracy of estimating the baseline rate but also improved the statistical power for identifying potential safety signals. Finally, we reanalyzed ischemic stroke events that were confirmed through chart review for those analyses where safety signals were detected.

Future research should include several key aspects to further enhance the validity and robustness of our findings. Collaborative efforts with additional health care systems will enable us to significantly increase our sample size. A larger sample size could provide sufficient statistical power to conduct sensitivity analyses such as the exclusion of transient ischemic attacks and exclusion of those who had a history of ischemic stroke.

In light of the findings of this study on the risk of ischemic stroke after bivalent COVID-19 vaccination, it is necessary to assess the safety of the monovalent COVID-19 vaccination during 2023-2024 for several reasons. First, while the bivalent COVID-19 vaccines included 2 components (BA.4 and BA.5), the monovalent COVID-19 vaccines during the 2023-2024 season included 1 component (XBB.1.5). This change in vaccine composition warrants continued surveillance to assess any differential safety profiles. Second, during the 2023-2024 season, coadministration of monovalent COVID-19 vaccine and influenza vaccine on the same day was possible given the timing of availability of both products and the recommendation by the CDC.

Conclusions

We found no evidence to suggest that the Pfizer-BioNTech bivalent vaccine increased the risk of ischemic stroke among individuals aged older than 65 years, consistent with the attenuated signal from the VSD surveillance that motivated this study. We found an elevated point estimate for the risk of ischemic stroke within 1-42 days (but not within 1-21 days) after the coadministration of the Pfizer-BioNTech bivalent vaccine and influenza vaccine among individuals younger than 65 years old that did not reach statistical significance, although the sample size was limited. Future studies with a larger sample size are needed to evaluate the association between bivalent COVID-19 vaccination and ischemic stroke, as well as contributing factors such as the history of SARS-CoV-2 infection. Any potential risks of ischemic stroke associated with bivalent COVID-19 vaccination must be balanced against the potential benefits of bivalent COVID-19 vaccination in preventing COVID-19–associated ischemic stroke and severe COVID-19 disease.

Acknowledgments

Funding for this study was provided by the National Institute of Allergy and Infectious Diseases of the National Institutes of Health (R01 AI168209). The National Institutes of Health had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the paper; and decision to submit the paper for publication. The findings and conclusions in this report are those of the authors and do not necessarily represent the official views of the National Institutes of Health. Kaiser Permanente Southern California stroke chart abstractions from the Vaccine Safety Datalink were used in this work. Kristin Goddard and Pat Ross from Kaiser Permanente Northern California and Kayla Hanson from Marshfield Clinic Research Institute developed the stroke chart abstraction forms. The authors thank the Kaiser Permanente Southern California chart abstractors Jose Pio and Julliane Bacerdo.

Data Availability

The data sets generated and analyzed during this study are not publicly available due to potentially identifying or sensitive patient information but are available from the corresponding author on reasonable request.

Conflicts of Interest

LSS reports research support from Moderna for a COVID-19 vaccine effectiveness study and GlaxoSmithKline, Dynavax, and Moderna for unrelated studies. LQ reports research support from Moderna, GlaxoSmithKline, and Dynavax for unrelated studies. KJB reports research support from Moderna, Pfizer, GlaxoSmithKline, and Dynavax for unrelated studies. NPK reports research support from Pfizer for COVID-19 vaccine clinical trials and unrelated research support from Pfizer, GlaxoSmithKline, Merck, and Sanofi Pasteur.

Multimedia Appendix 1

Definition of electronically identified ischemic strokes.

DOCX File , 56 KB

Multimedia Appendix 2

Descriptive statistics of Charlson Comorbidity Index by vaccine type and age (<65 years old and ≥65 years old) among members of Kaiser Permanente Southern California who had ischemic stroke events during the period from September 1, 2022, to March 31, 2023.

DOCX File , 47 KB

Multimedia Appendix 3

Numbers of electronically identified ischemic stroke events and relative incidences in the 21 days after Pfizer-BioNTech bivalent COVID-19 vaccination among members of Kaiser Permanente Southern California during the period from September 1, 2022, to March 31, 2023.

DOCX File , 51 KB

Multimedia Appendix 4

Numbers of electronically identified ischemic stroke events and relative incidences in the 21 days after Moderna bivalent COVID-19 vaccination among members of Kaiser Permanente Southern California during the period from September 1, 2022, to March 31, 2023.

DOCX File , 51 KB

Multimedia Appendix 5

Stratified analyses by sex for those analyses that signaled using electronically identified ischemic stroke events: numbers of confirmed ischemic stroke events and relative incidences in the 42 days after bivalent vaccination among members of Kaiser Permanente Southern California aged <65 years during the period from September 1, 2022, to March 31, 2023.

DOCX File , 50 KB

Multimedia Appendix 6

SAS and R codes for preparing data and fitting the dependent SCCS models.

DOCX File , 51 KB

  1. Coronavirus (COVID-19) update: FDA authorizes changes to simplify use of bivalent mRNA COVID-19 vaccines. U.S. Food and Drug Administration. URL: https:/​/www.​fda.gov/​news-events/​press-announcements/​coronavirus-covid-19-update -fda-authorizes-moderna-pfizer-biontech-bivalent-covid-19-vaccines-use [accessed 2023-07-10]
  2. Rosenblum HG, Wallace M, Godfrey M, Roper LE, Hall E, Fleming-Dutra KE, et al. Interim recommendations from the advisory committee on immunization practices for the use of bivalent booster doses of Covid-19 vaccines - United States, october 2022. MMWR Morb Mortal Wkly Rep. 2022;71(45):1436-1441. [FREE Full text] [CrossRef] [Medline]
  3. Chalkias S, Harper C, Vrbicky K, Walsh SR, Essink B, Brosz A, et al. A bivalent omicron-containing booster vaccine against Covid-19. N Engl J Med. 2022;387(14):1279-1291. [FREE Full text] [CrossRef] [Medline]
  4. Davis-Gardner ME, Lai L, Wali B, Samaha H, Solis D, Lee M, et al. Neutralization against BA.2.75.2, BQ.1.1, and XBB from mRNA bivalent booster. N Engl J Med. 2023;388(2):183-185. [FREE Full text] [CrossRef] [Medline]
  5. Zou J, Kurhade C, Patel S, Kitchin N, Tompkins K, Cutler M, et al. Neutralization of BA.4–BA.5, BA.4.6, BA.2.75.2, BQ.1.1, and XBB.1 with bivalent vaccine. N Engl J Med. 2023;388(9):854-857. [CrossRef] [Medline]
  6. Hause AM, Marquez P, Zhang B, Myers TR, Gee J, Su JR, et al. Safety monitoring of bivalent Covid-19 mRNA vaccine booster doses among persons aged =12 years - United States, August 31-October 23, 2022. MMWR Morb Mortal Wkly Rep. 2022;71(44):1401-1406. [FREE Full text] [CrossRef] [Medline]
  7. Katherine Yih W, Daley MF, Duffy J, Fireman B, McClure DL, Nelson JC, et al. Safety signal identification for COVID-19 bivalent booster vaccination using tree-based scan statistics in the Vaccine Safety Datalink. Vaccine. 2023;41(36):5265-5270. [CrossRef] [Medline]
  8. Klein NP, Lewis N, Goddard K, Fireman B, Zerbo O, Hanson KE, et al. Surveillance for adverse events after Covid-19 mRNA vaccination. JAMA. 2021;326(14):1390-1399. [FREE Full text] [CrossRef] [Medline]
  9. COVID-19 mRNA bivalent booster vaccine safety. US Centers for Disease Control and Prevention. URL: https://www.fda .gov/media/164811/download [accessed 2023-09-01]
  10. CDC and FDA identify preliminary COVID-19 vaccine safety signal for persons aged 65 years and older. U.S. Food and Drug Administration. URL: https:/​/www.​fda.gov/​vaccines-blood-biologics/​safety-availability-biologics/​cdc-and-fda-identify -preliminary-covid-19-vaccine-safety-signal-persons-aged-65-years-and-older [accessed 2023-08-01]
  11. Shimabukuro TT. mRNA COVID-19 bivalent booster vaccine safety update. US Centers for Disease Control and Prevention. URL: https://stacks.cdc.gov/view/cdc/127294 [accessed 2023-08-10]
  12. Gorenflo M, Davis P, Kaelber D, Xu R. Ischemic stroke after COVID-19 bivalent vaccine administration in patients aged 65 years and older in the United States. NPJ Vaccines. Nov 23, 2023;8:180. [FREE Full text] [CrossRef]
  13. Jabagi M, Bertrand M, Botton J, Le Vu S, Weill A, Dray-Spira R, et al. Stroke, myocardial infarction, and pulmonary embolism after bivalent booster. N Engl J Med. 2023;388(15):1431-1432. [FREE Full text] [CrossRef] [Medline]
  14. Andrews N, Stowe J, Miller E, Ramsay M. BA.1 bivalent Covid-19 vaccine use and stroke in England. JAMA. 2023;330(2):184-185. [FREE Full text] [CrossRef] [Medline]
  15. Yamin D, Yechezkel M, Arbel R, Beckenstein T, Sergienko R, Duskin-Bitan H, et al. Safety of monovalent and bivalent BNT162b2 mRNA Covid-19 vaccine boosters in at-risk populations in Israel: a large-scale, retrospective, self-controlled case series study. Lancet Infect Dis. 2023;23(10):1130-1142. [CrossRef] [Medline]
  16. Lu Y, Matuska K, Nadimpalli G, Ma Y, Duma N, Zhang HT, et al. Stroke risk after Covid-19 bivalent vaccination among US older adults. JAMA. 2024;331(11):938-950. [CrossRef] [Medline]
  17. Farrington CP. Relative incidence estimation from case series for vaccine safety evaluation. Biometrics. 1995;51(1):228-235. [CrossRef] [Medline]
  18. Whitaker HJ, Farrington CP, Spiessens B, Musonda P. Tutorial in biostatistics: the self-controlled case series method. Stat Med. 2006;25(10):1768-1797. [CrossRef] [Medline]
  19. Glanz JM, McClure DL, Xu S, Hambidge SJ, Lee M, Kolczak MS, et al. Four different study designs to evaluate vaccine safety were equally validated with contrasting limitations. J Clin Epidemiol. 2006;59(8):808-818. [CrossRef] [Medline]
  20. Petersen I, Douglas I, Whitaker H. Self controlled case series methods: an alternative to standard epidemiological study designs. BMJ. 2016;354:i4515. [FREE Full text] [CrossRef] [Medline]
  21. Xu S, Sy LS, Hong V, Farrington P, Glenn SC, Ryan DS, et al. Mortality risk after Covid-19 vaccination: a self-controlled case series study. Vaccine. 2024;42(7):1731-1737. [FREE Full text] [CrossRef] [Medline]
  22. Ghebremichael-Weldeselassie Y, Jabagi MJ, Botton J, Bertrand M, Baricault B, Drouin J, et al. A modified self-controlled case series method for event-dependent exposures and high event-related mortality, with application to COVID-19 vaccine safety. Stat Med. 2022;41(10):1735-1750. [FREE Full text] [CrossRef] [Medline]
  23. Farrington C, Whitaker H, Hocine M. Case series analysis for censored, perturbed, or curtailed post-event exposures. Biostatistics. 2009;10(1):3-16. [CrossRef] [Medline]
  24. Xu S, Clarke CL, Newcomer SR, Daley MF, Glanz JM. Analyzing self-controlled case series data when case confirmation rates are estimated from an internal validation sample. Biom J. 2018;60(4):748-760. [FREE Full text] [CrossRef] [Medline]
  25. Rubin DB. Multiple Imputation for Nonresponse in Surveys. New York. John Wiley and Sons; 2004.
  26. Farrington P, Whitaker H, Ghebremichael-Weldeselassie Y. Self-Controlled Event Series Studies: A Modelling Guide With R. Boca Raton, FL. Chapman & Hall/CRC Press; 2018.
  27. Ghebremichael-Weldeselassie Y, Whitaker H, Farrington P. SCCS: the self-controlled case series method. CRAN R Project. URL: https://CRAN.R-project.org/package=SCCS [accessed 2023-01-13]
  28. Merkler AE, Parikh NS, Mir S, Gupta A, Kamel H, Lin E, et al. Risk of ischemic stroke in patients with coronavirus disease 2019 (Covid-19) vs patients with influenza. JAMA Neurol. 2020;77(11):1366-1372. [FREE Full text] [CrossRef] [Medline]
  29. Yang Q, Tong X, George MG, Chang A, Merritt RK. Covid-19 and risk of acute ischemic stroke among medicare beneficiaries aged 65 years or older: self-controlled case series study. Neurology. 2022;98(8):e778-e789. [FREE Full text] [CrossRef] [Medline]
  30. Jin R, Yang G, Li G. Inflammatory mechanisms in ischemic stroke: role of inflammatory cells. J Leukoc Biol. 2010;87(5):779-789. [FREE Full text] [CrossRef] [Medline]
  31. Brockman M, Mwimanzi F, Lapointe H, Sang Y, Agafitei O, Cheung PK, et al. Reduced magnitude and durability of humoral immune responses to Covid-19 mRNA vaccines among older adults. J Infect Dis. 2022;225(7):1129-1140. [FREE Full text] [CrossRef] [Medline]
  32. COVID Data Tracker. US Centers for Disease Control and Prevention. URL: https://covid.cdc.gov/covid-data-tracker/#vac cinations_vacc-people-booster-percent-total [accessed 2023-08-22]
  33. Ihle-Hansen H, Bøås H, Tapia G, Hagberg G, Ihle-Hansen H, Berild JD, et al. Stroke after SARS-CoV-2 mRNA vaccine: a nationwide registry study. Stroke. 2023;54(5):e190-e193. [FREE Full text] [CrossRef] [Medline]


AR: attributable risk
CDC: US Centers for Disease Control and Prevention
FDA: US Food and Drug Administration
ICD-10: International Classification of Diseases, Tenth Revision
KPSC: Kaiser Permanente Southern California
mRNA: messenger ribonucleic acid
NBR: nonbivalent recipient
NNH: number needed to harm
RI: relative incidence
SCCS: self-controlled case series
VAERS: Vaccine Adverse Event Reporting System
VSD: Vaccine Safety Datalink


Edited by A Mavragani, T Sanchez; submitted 19.10.23; peer-reviewed by M Jabagi, T Tong, T Cerqueira-Silva; comments to author 09.04.24; accepted 21.05.24; published 25.06.24.

Copyright

©Stanley Xu, Lina S Sy, Vennis Hong, Kimberly J Holmquist, Lei Qian, Paddy Farrington, Katia J Bruxvoort, Nicola P Klein, Bruce Fireman, Bing Han, Bruno J Lewin. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 25.06.2024.

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