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Completed

NCT Number: 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.

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.

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Key information

Conditions

Influenza, Human COVID-19 Coronaviridae Infections Coronavirus Infections Infections Lung Diseases Nidovirales Infections Orthomyxoviridae Infections Pneumonia Pneumonia, Viral RNA Virus Infections Respiratory Tract Diseases Respiratory Tract Infections Virus Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Pfizer

New York, 10001, United States

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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).

Treatment and study plan

Comirnaty

Biological

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

Biological

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

Primary outcomes

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

Sponsors and collaborators

Lead sponsor

Pfizer

Industry

Registry information

Official study title

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

Important dates

Study start
2023
Primary completion
2023
Study completion
2023
First posted
May 15, 2023
Registry last updated
Sep 20, 2024

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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