HIVNCT05794191
A Study To Learn About The Effects Of Pneumococcal Vaccine In People With HIV
An observational study of HIV and Pneumonia, run by Pfizer at 1 site in United States.
Trial summary
The purpose of this study is to learn about how well a vaccine (Prevnar 13, PCV13) works in preventing disease in adults with HIV. The diseases studied are pneumonia. Mostly the ones caused by the bacteria - pneumococcus. This study also evaluates the type of pneumonia that is spread into the bloodstream. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- HIV, Pneumonia, Infections, Pneumococcal
- What is being tested?
- Vaccine Administration
- Type of treatment
- Vaccines
- How many people
- 350,399 participants
- Where
- 1 siteUnited States
- Study dates
- 22 Mar 2023to 15 Aug 2024
- Phase
- Observational
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: People with HIV in a healthcare administrative database
Who may be able to join
- HIV infection defined as at least one inpatient or ≥2 outpatient codes related to HIV at least 30 days but no more than 730 days apart
- At least 18 years of age at the time of the first HIV-related code
- At least six months of continuous enrollment in medical and pharmacy plans after the first HIV-related code
Who cannot join
- 1. Evidence of PCV13 vaccination before the first HIV-related code
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Assessment of 13-valent Pneumococcal Conjugate Vaccine Effectiveness Among People With HIV in the United States
The purpose of this study is to learn about how well a vaccine (Prevnar 13, PCV13) works in preventing disease in adults with HIV.
The diseases studied are pneumonia. Mostly the ones caused by the bacteria - pneumococcus. This study also evaluates the type of pneumonia that is spread into the bloodstream.
Read more
All participants in the study will be identified in health care databases. Adults with HIV will be identified by looking for a medical diagnosis that has confirmed HIV from the databases. Vaccination will be identified in the databases by looking for vaccine administration or for PCV13.
Participants will be followed in the databases to see if they have one of the diseases mentioned above or not. The number of vaccinated participants with the diseases will be compared to the number participants without the vaccines but with the diseases. This will help to understand how well the vaccine worked.
- Conditions
- HIV, Pneumonia, Infections, Pneumococcal
- Being tested
- Vaccine Administration
- Medical subject headings
- Pneumonia, Pneumococcal Infections
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Vaccine AdministrationBiological
PCV13 administration
| Study group | Role | What they receive |
|---|---|---|
| Persons living with HIV (PLWH) | Adults with HIV Receives: Biological: Vaccine Administration |
What is being measured
The primary outcome is the main question the study is designed to answer.
PCV13 Vaccine Effectiveness (VE) for First Event of Invasive Pneumococcal Disease (IPD): Overall Follow-up
VE:[(1-hazard ratio (HR)]*100 and was obtained from marginal structural Cox models(Cox-MSM) after applying Inverse probability of treatment (IPT)*Inverse probability of censoring(IPC)weights.IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. IPD: based on International Classification of Diseases,9th revision, Clinical Modification(ICD-9-CM)or ICD-10-CM.Data for total number of participants with IPD is reported in descriptive and VE (IPTW*IPCW+imbalanced variables) is reported in statistical section.PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
Measured: From index date to the earliest of death, end of health plan enrollment or end of study period (maximum up to 8.25 years)
VE for First Event of IPD at 0-3 Years of Follow-up
VE: [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. IPD was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of IPD is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
Measured: 0 to 3 years of follow up
VE for First Event of IPD at 3-5 Years of Follow-up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. IPD was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of IPD is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
Measured: 3 to 5 years of follow up
VE for First Event of IPD at 5-7 Years of Follow-up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. IPD was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of IPD is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
Measured: 5 to 7 years of follow up
PCV13 VE for First Event of Pneumococcal Pneumonia (PP): Overall Follow-up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. PP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of PP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
Measured: From index date to the earliest of death, end of health plan enrollment or end of study period (maximum up to 8.25 years)
VE for First Event of PP at 0-3 Years of Follow-up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. PP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of PP is reported in the descriptive section data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
Measured: 0 to 3 years of follow up
VE for First Event of PP at 3-5 Years of Follow-up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. PP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of PP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
Measured: 3 to 5 years of follow up
VE for First Event of PP at 5-7 Years of Follow-up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. PP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of PP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
Measured: 5 to 7 years of follow up
PCV13 VE for First Event of All-cause Pneumonia (ACP): Overall Follow-up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. ACP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of ACP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
Measured: From index date to the earliest of death, end of health plan enrollment or end of study period (maximum up to 8.25 years)
VE for First Event of ACP at 0-3 Years of Follow-up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. ACP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of ACP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
Measured: 0 to 3 years of follow up
VE for First Event of ACP at 3-5 Years of Follow-up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. ACP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of ACP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
Measured: 3 to 5 years of follow up
VE for First Event of ACP at 5-7 Years of Follow-up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. ACP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of ACP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up.
Measured: 5 to 7 years of follow up
Secondary outcomes (2)
PCV13 VE for First Event of Pneumococcal Pneumonia or Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. Data for total number of participants with episodes of pneumococcal pneumonia or pneumonia with unspecified causes are reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
Measured: 0 to 3 years, 3 to 5 years and 5 to 7 years of follow-up (maximum up to 8.25 years)
PCV13 VE for First Event of Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up
VE was calculated as [(1-hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. Pneumonia with unspecified causes was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of pneumonia with unspecified causes are reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
Measured: 0 to 3 years, 3 to 5 years and 5 to 7 years of follow-up (maximum up to 8.25 years)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Apr 2023
- Study start22 Mar 2023
- Primary completion15 Aug 2024
- Study completion15 Aug 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Other trials for HIVStudies of the same condition, open and under way.
- More trials run by PfizerThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 350,399 participants (actual)
Sponsor and investigators
- Lead sponsor
- Pfizer
- Sponsor type
- Industry (pharma, biotech, devices)
- Responsible party
- Sponsor
- Investigators
- Pfizer CT.gov Call Center, Study director, Pfizer
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05794191
- Sponsor's protocol ID
- B1851217
- Other IDs
- NCT05794191
- Status last verified
- Sep 2025
- First submitted
- 20 Mar 2023
- Last updated
- 20 Oct 2025
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
- FDA-regulated drug
- Yes
- FDA-regulated device
- No
- Individual data sharing
- No: 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.
Study at a glance
From the registry record, last updated by the sponsor on 20 Oct 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Assessment of 13-valent Pneumococcal Conjugate Vaccine Effectiveness Among People With HIV in the United States
- ClinicalTrials.gov ID
- NCT05794191
- Acronym / sponsor ID
- B1851217
- Conditions
- HIV, Pneumonia, Infections, Pneumococcal
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 350,399 participants (actual)
- Lead sponsor
- PfizerIndustry (pharma, biotech, devices)
- Study start
- 22 Mar 2023 (actual)
- Primary completion
- 15 Aug 2024 (actual)
- Study completion
- 15 Aug 2024 (actual)
- First posted
- 3 Apr 2023 (actual)
- Results
- Posted 20 Oct 2025
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The purpose of this study is to learn about how well a vaccine (Prevnar 13, PCV13) works in preventing disease in adults with HIV.
The diseases studied are pneumonia. Mostly the ones caused by the bacteria - pneumococcus. This study also evaluates the type of pneumonia that is spread into the bloodstream.
All participants in the study will be identified in health care databases. Adults with HIV will be identified by looking for a medical diagnosis that has confirmed HIV from the databases. Vaccination will be identified in the databases by looking for vaccine administration or for PCV13.
Participants will be followed in the databases to see if they have one of the diseases mentioned above or not. The number of vaccinated participants with the diseases will be compared to the number participants without the vaccines but with the diseases. This will help to understand how well the vaccine worked.
Study design
- Observational model
- Cohort
- Time perspective
- Retrospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Persons living with HIV (PLWH) | – | Biological: Vaccine AdministrationAdults with HIV |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- People with HIV in a healthcare administrative database
Key inclusion criteria (3 listed)
- HIV infection defined as at least one inpatient or ≥2 outpatient codes related to HIV at least 30 days but no more than 730 days apart
- At least 18 years of age at the time of the first HIV-related code
- At least six months of continuous enrollment in medical and pharmacy plans after the first HIV-related code
Key exclusion criteria (1 listed)
- 1. Evidence of PCV13 vaccination before the first HIV-related code
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Vaccine AdministrationPCV13 administration | Biological | Persons living with HIV (PLWH) |
Primary outcome
PCV13 Vaccine Effectiveness (VE) for First Event of Invasive Pneumococcal Disease (IPD): Overall Follow-up
Time frame: From index date to the earliest of death, end of health plan enrollment or end of study period (maximum up to 8.25 years)
VE:[(1-hazard ratio (HR)]*100 and was obtained from marginal structural Cox models(Cox-MSM) after applying Inverse probability of treatment (IPT)*Inverse probability of censoring(IPC)weights.IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. IPD: based on International Classification of Diseases,9th revision, Clinical Modification(ICD-9-CM)or ICD-10-CM.Data for total number of participants with IPD is reported in descriptive and VE (IPTW*IPCW+imbalanced variables) is reported in statistical section.PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
VE for First Event of IPD at 0-3 Years of Follow-up
Time frame: 0 to 3 years of follow up
VE: [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. IPD was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of IPD is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
VE for First Event of IPD at 3-5 Years of Follow-up
Time frame: 3 to 5 years of follow up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. IPD was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of IPD is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
VE for First Event of IPD at 5-7 Years of Follow-up
Time frame: 5 to 7 years of follow up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. IPD was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of IPD is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
PCV13 VE for First Event of Pneumococcal Pneumonia (PP): Overall Follow-up
Time frame: From index date to the earliest of death, end of health plan enrollment or end of study period (maximum up to 8.25 years)
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. PP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of PP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
VE for First Event of PP at 0-3 Years of Follow-up
Time frame: 0 to 3 years of follow up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. PP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of PP is reported in the descriptive section data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
VE for First Event of PP at 3-5 Years of Follow-up
Time frame: 3 to 5 years of follow up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. PP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of PP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
VE for First Event of PP at 5-7 Years of Follow-up
Time frame: 5 to 7 years of follow up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. PP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of PP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
PCV13 VE for First Event of All-cause Pneumonia (ACP): Overall Follow-up
Time frame: From index date to the earliest of death, end of health plan enrollment or end of study period (maximum up to 8.25 years)
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. ACP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of ACP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
VE for First Event of ACP at 0-3 Years of Follow-up
Time frame: 0 to 3 years of follow up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. ACP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of ACP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
VE for First Event of ACP at 3-5 Years of Follow-up
Time frame: 3 to 5 years of follow up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. ACP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of ACP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up).
VE for First Event of ACP at 5-7 Years of Follow-up
Time frame: 5 to 7 years of follow up
Vaccine effectiveness was calculated as [(1- hazard ratio (HR)] * 100 and was obtained from Cox-MSM after applying the IPT *IPC weights. IPTW was generated from predicted probabilities of vaccination status (propensity scores) to create pseudo-populations where any imbalances in the potential confounders by vaccination status were reduced. IPCW was used to adjust for informative censoring. ACP was identified based on ICD-9-CM or ICD-10-CM codes. Data for total number of participants with episodes of ACP is reported in the descriptive section and data for vaccine effectiveness (IPTW*IPCW + imbalanced variables) is reported in statistical analysis section. PCV13 vaccination status was a time varying exposure (i.e.,vaccination status was not fixed at start of follow-up and participants could receive PCV13 during follow-up.
2 secondary outcomes
PCV13 VE for First Event of Pneumococcal Pneumonia or Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up
Time frame: 0 to 3 years, 3 to 5 years and 5 to 7 years of follow-up (maximum up to 8.25 years)
PCV13 VE for First Event of Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up
Time frame: 0 to 3 years, 3 to 5 years and 5 to 7 years of follow-up (maximum up to 8.25 years)
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 20 Oct 2025.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- To obtain contact information for a study center near you, click here.Link provided by the sponsor.
- Individual participant dataSharing planned: No. 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.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Pfizer CT.gov Call Center study director
Pfizer
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of HIV and Pneumonia, run by Pfizer at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 20 Oct 2025. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 20 Oct 2025). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
PCV13 Vaccine Effectiveness (VE) for First Event of Invasive Pneumococcal Disease (IPD): Overall Follow-up (time frame: From index date to the earliest of death, end of health plan enrollment or end of study period (maximum up to 8.25 years)). The study lists 12 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 20 Oct 2025.