- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05858450
This Study Intends to Describe the Characteristics of Patients Given the Pfizer-BioNTech Bivalent mRNA COVID-19 Vaccine and Any Commercially Available Influenza Vaccines at the Same Time Versus at Different Times.
May 6, 2024 updated by: Pfizer
Investigating Uptake and Subsequent Health Outcomes Associated With Pfizer-BioNTech Bivalent COVID-19/Influenza Vaccine Concomitant Administration Using a Claims-based Real-world Data Source in the US
This study intends to describe the characteristics of patients given the Pfizer-BioNTech bivalent mRNA COVID-19 vaccine and any commercially available influenza vaccines at the same time versus at different times.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Actual)
3442996
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
New York
-
New York, New York, United States, 10001
- Pfizer
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Sampling Method
Non-Probability Sample
Study Population
The study population will include adults patients who were enrolled in the Optum Clinformatics Database as of 31 August 2022
Description
Inclusion Criteria:
- Enrolled in Optum claims database as of 31 August 2022 (date bivalent authorized).
- Has a Pfizer-BioNTech mRNA bivalent COVID-19 or influenza vaccine (any type) between 31 August 2022 and 30 January 2023 (earliest vaccine is index date).
- Aged >=18 years on the index date
- 365 days of continuous enrolment prior to index date
Exclusion Criteria:
- Patients with a second dose of any type of bivalent mRNA COVID-19 or flu vaccine, disenrolled or died within 14 days following the first dose.
- Has prior COVID-19 diagnosis (U07.1, any setting, any position) within 90 days (per CDC guidance on length of time before receiving a vaccine) before and on index.
- Has influenza vaccine between 01 August -30 August 2022 (before study period).
- Has a COVID-19 or influenza diagnosis code in any setting within 14 days after index vaccination (excluded from all cohorts).
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Same day
Pfizer-BioNTech mRNA bivalent COVID and flu on the same day
|
COMIRNATY is an active immunization to prevent COVID-19 caused by SARS-CoV-2 in individuals 12 years of age and older.
Quadrivalent Influenza Vaccine is a class of vaccines indicated for active immunization for the prevention of influenza disease caused by influenza A subtype viruses and type B viruses contained in the vaccines
|
|
COVID alone
Pfizer-BioNTech bivalent COVID only
|
COMIRNATY is an active immunization to prevent COVID-19 caused by SARS-CoV-2 in individuals 12 years of age and older.
|
|
flu alone
influenza vaccine of any type only
|
Quadrivalent Influenza Vaccine is a class of vaccines indicated for active immunization for the prevention of influenza disease caused by influenza A subtype viruses and type B viruses contained in the vaccines
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of Participants With All Cause Hospitalization Visits: 18-64 Years Old
Time Frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
Hospitalization due to any cause is defined as an overnight stay, or longer, in a hospital environment (emergency room, observation unit or in-patient care, or similar facility including admission to a day care facility).
To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used.
The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs Flu (SIV) alone.
|
From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
|
Number of Participants With All Cause Hospitalization Visits: >=65 Years Old
Time Frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
Hospitalization due to any cause is defined as an overnight stay, or longer, in a hospital environment (emergency room, observation unit or in-patient care, or similar facility including admission to a day care facility).
To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used.
The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone.
|
From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
|
Number of Participants With Composite Coronavirus Disease (COVID-19)-Related Hospitalization, Emergency Department or Urgent Care Visits: Same Day Versus COVID-19 Alone
Time Frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
Hospitalization, emergency department or urgent care visits with COVID-19 diagnosis code (International Classification of Diseases, 10th revision [ICD-10-CM]: U07.1) in any position.
To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used.
The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone.
In this outcome measure data is reported for Model 1: Same day vs COVID-19 alone.
|
From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
|
Number of Participants With Composite Influenza Related Hospitalization, Emergency Department or Urgent Care Visits: Same Day Versus SIV Alone
Time Frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
Hospitalization, emergency department or urgent care visits with Influenza diagnosis code (ICD-10-CM: J09.X, J10.X, J11.X) in any position.
To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used.
The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone.
In this outcome measure data is reported for Model 2: Same day vs SIV alone.
|
From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
|
Number of Participants With COVID-19 Related Outpatient Visits: Same Day Versus COVID-19 Alone
Time Frame: From Day 15 of vaccination till end of follow-up observation period, (from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
COVID-19 diagnosis code (ICD-10-CM: U07.1) in any position.
An outpatient visit refers to any encounter that is in the outpatient setting.
To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used.
The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone.
In this outcome measure data is reported for Model 1: Same day vs COVID-19 alone.
|
From Day 15 of vaccination till end of follow-up observation period, (from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
|
Number of Participants With Influenza-Related Outpatient Visits: Same Day Versus SIV Alone
Time Frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
Influenza diagnosis code (ICD-10-CM: J09.X, J10.X, J11.X) in any position.
An outpatient visit refers to any encounter that is in the outpatient setting.
To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used.
The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone.
In this outcome measure data is reported for Model 2: Same day vs SIV alone.
|
From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
|
Number of Participants With COVID-19 Related Hospitalization Visits: Same Day Versus COVID-19 Alone
Time Frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
COVID-19 diagnosis code (ICD-10-CM: U07.1) in any position.
To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used.
The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone.
In this outcome measure data is reported for Model 1: Same day vs COVID-19 alone.
|
From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
|
Number of Participants With Influenza Related Hospitalization Visits: Same Day Versus SIV Alone
Time Frame: From Day 15 of vaccination till end of follow-up observation period, (from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
Influenza diagnosis code (ICD-10-CM: J09.X, J10.X, J11.X) in any position.
To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used.
The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone.
In this outcome measure data is reported for Model 2: Same day vs SIV alone.
|
From Day 15 of vaccination till end of follow-up observation period, (from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
|
Number of Participants With COVID-19-Related Emergency Department Visits/ Urgent Care Visits: Same Day Versus COVID-19 Alone
Time Frame: From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
COVID-19 diagnosis code (ICD-10-CM: U07.1) in any position.
To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used.
The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone.
In this outcome measure data is reported for Model 1: Same day vs COVID-19 alone.
|
From Day 15 of vaccination till end of follow-up observation period, from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
|
Number of Participants With Influenza-Related Emergency Department Visits/ Urgent Care Visits: Same Day Versus SIV Alone
Time Frame: From Day 15 of vaccination till end of follow-up observation period, (from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
Influenza diagnosis code (ICD-10-CM: J09.X, J10.X, J11.X) in any position.
To account for imbalance in participant characteristics between the vaccine exposure groups, 2 separate logistic regression models were used.
The two models were: Model 1: Same day vs COVID-19 alone, and Model 2: Same day vs SIV alone.
In this outcome measure data is reported for Model 2: Same day vs SIV alone.
|
From Day 15 of vaccination till end of follow-up observation period, (from 14-Sep-2022 through 14 February 2023 (approximately 5 months); data was extracted and observed in this retrospective study from 05-May-2023 to 12-May-2023 (8 days)
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Study Director: Pfizer CT.gov Call Center, Pfizer
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
May 5, 2023
Primary Completion (Actual)
May 12, 2023
Study Completion (Actual)
May 12, 2023
Study Registration Dates
First Submitted
May 11, 2023
First Submitted That Met QC Criteria
May 11, 2023
First Posted (Actual)
May 15, 2023
Study Record Updates
Last Update Posted (Actual)
September 20, 2024
Last Update Submitted That Met QC Criteria
May 6, 2024
Last Verified
May 1, 2024
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- C4591061
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
Pfizer will provide access to individual de-identified participant data and related study documents (e.g.
protocol, Statistical Analysis Plan (SAP), Clinical Study Report (CSR)) upon request from qualified researchers, and subject to certain criteria, conditions, and exceptions.
Further details on Pfizer's data sharing criteria and process for requesting access can be found at: https://www.pfizer.com/science/clinical_trials/trial_data_and_results/data_requests.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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