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A Study To Learn About The Effects Of Pneumococcal Vaccine In People With HIV

Assessment of 13-valent Pneumococcal Conjugate Vaccine Effectiveness Among People With HIV in the United States

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05794191
Enrollment
350399
Registered
2023-04-03
Start date
2023-03-22
Completion date
2024-08-15
Last updated
2025-10-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

HIV, Infections, Pneumococcal, Pneumonia

Brief 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. 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.

Interventions

PCV13 administration

Sponsors

Pfizer
Lead SponsorINDUSTRY

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. 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 2. At least 18 years of age at the time of the first HIV-related code 3. At least six months of continuous enrollment in medical and pharmacy plans after the first HIV-related code

Exclusion criteria

1\. Evidence of PCV13 vaccination before the first HIV-related code

Design outcomes

Primary

MeasureTime frameDescription
VE for First Event of ACP at 5-7 Years of Follow-up5 to 7 years of follow upVaccine 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-up0 to 3 years of follow upVaccine 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-up3 to 5 years of follow upVaccine 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).
PCV13 Vaccine Effectiveness (VE) for First Event of Invasive Pneumococcal Disease (IPD): Overall Follow-upFrom 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-up0 to 3 years of follow upVE: \[(1- hazard ratio (HR)\] \* 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-up3 to 5 years of follow upVaccine 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-up5 to 7 years of follow upVaccine 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-upFrom 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-up0 to 3 years of follow upVaccine 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-up3 to 5 years of follow upVaccine 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-up5 to 7 years of follow upVaccine 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-upFrom 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).

Secondary

MeasureTime frameDescription
PCV13 VE for First Event of Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up0 to 3 years, 3 to 5 years and 5 to 7 years of follow-up (maximum up to 8.25 years)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).
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-up0 to 3 years, 3 to 5 years and 5 to 7 years of follow-up (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. 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).

Countries

United States

Participant flow

Recruitment details

Data was collected from participants living with human immunodeficiency virus (PLWH) having an HIV diagnosis code between January 1, 2014 and December 31, 2021. Data was analyzed over 73 weeks in this retrospective study from March 22, 2023 to August 15, 2024.

Pre-assignment details

A total of 350399 participants were enrolled in the study. The six months of continuous enrollment in medical and pharmacy plans between 01-Jan-2014 and 31-Dec-2021 was considered the baseline period. The end of the study occurred on the last date that administrative claims data were available on September 30, 2022. Participants were followed up from index date to the earliest of death, end of health plan enrollment or end of study period (maximum up to 8.25 years).

Participants by arm

ArmCount
PCV13-vaccinated Participants
Participants with an HIV diagnosis code who received PCV13 were included. The participants were followed up in the databases from 14 days after their PCV13 or index date if vaccinated during the baseline period, until the earliest occurrence of outcome, death, end of health plan enrollment, or end of study period.
29,435
Unvaccinated Participants
Participants with an HIV diagnosis code who did not receive PCV13 were included. The participants were followed in the databases from index date until the earliest occurrence of PCV13 vaccination, death, end of health plan enrollment or end of study period.
320,964
Total350,399

Baseline characteristics

CharacteristicUnvaccinated ParticipantsTotalPCV13-vaccinated Participants
Age, Customized
18-49 Years
189050 Participants209621 Participants20571 Participants
Age, Customized
50-64 Years
113632 Participants121539 Participants7907 Participants
Age, Customized
65-74 Years
14617 Participants15431 Participants814 Participants
Age, Customized
75 Years or above
3665 Participants3808 Participants143 Participants
Race and Ethnicity Not Collected0 Participants
Sex/Gender, Customized
Female
99319 Participants106018 Participants6699 Participants
Sex/Gender, Customized
Male
221640 Participants244376 Participants22736 Participants
Sex/Gender, Customized
Unknown
5 Participants5 Participants0 Participants

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 00 / 0
other
Total, other adverse events
0 / 00 / 0
serious
Total, serious adverse events
0 / 00 / 0

Outcome results

Primary

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).

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)

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'Overall Number of Participants Analyzed (N)' for Unvaccinated arm=participants unvaccinated at start of study evaluable for this outcome measure (OM); N for vaccinated arm=participants vaccinated by end of follow up for this OM; hence, N is different from those reported under participant flow and baseline.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsPCV13 Vaccine Effectiveness (VE) for First Event of Invasive Pneumococcal Disease (IPD): Overall Follow-up167 Participants
Unvaccinated ParticipantsPCV13 Vaccine Effectiveness (VE) for First Event of Invasive Pneumococcal Disease (IPD): Overall Follow-up747 Participants
95% CI: [5.425, 36.391]
Primary

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).

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)

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'Overall Number of Participants Analyzed (N)' for Unvaccinated arm=participants unvaccinated at start of study evaluable for this outcome measure (OM); N for vaccinated arm=participants vaccinated by end of follow up for this OM; hence, N is different from those reported under participant flow and baseline.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsPCV13 VE for First Event of All-cause Pneumonia (ACP): Overall Follow-up8098 Participants
Unvaccinated ParticipantsPCV13 VE for First Event of All-cause Pneumonia (ACP): Overall Follow-up34498 Participants
95% CI: [5.705, 11.086]
Primary

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).

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)

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'Overall Number of Participants Analyzed (N)' for Unvaccinated arm=participants unvaccinated at start of study evaluable for this outcome measure (OM); N for vaccinated arm=participants vaccinated by end of follow up for this OM; hence, N is different from those reported under participant flow and baseline.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsPCV13 VE for First Event of Pneumococcal Pneumonia (PP): Overall Follow-up309 Participants
Unvaccinated ParticipantsPCV13 VE for First Event of Pneumococcal Pneumonia (PP): Overall Follow-up1362 Participants
95% CI: [3.994, 28.536]
Primary

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).

Time frame: 0 to 3 years of follow up

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'N' for Unvaccinated arm=number of participants unvaccinated at start of specified follow-up time evaluable for this OM; N for vaccinated arm=participants vaccinated by end of follow up time for this OM; hence, N is different from those reported under participant flow and baseline.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsVE for First Event of ACP at 0-3 Years of Follow-up4543 Participants
Unvaccinated ParticipantsVE for First Event of ACP at 0-3 Years of Follow-up27984 Participants
95% CI: [8.089, 14.679]
Primary

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).

Time frame: 3 to 5 years of follow up

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'N' for Unvaccinated arm=number of participants unvaccinated at start of specified follow-up time evaluable for this OM; N for vaccinated arm=participants vaccinated by end of follow up time for this OM; hence, N is different from those reported under participant flow and baseline.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsVE for First Event of ACP at 3-5 Years of Follow-up2079 Participants
Unvaccinated ParticipantsVE for First Event of ACP at 3-5 Years of Follow-up4437 Participants
95% CI: [1.427, 12.493]
Primary

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.

Time frame: 5 to 7 years of follow up

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'N' for Unvaccinated arm=number of participants unvaccinated at start of specified follow-up time evaluable for this OM; N for vaccinated arm=participants vaccinated by end of follow up time for this OM; hence, N is different from those reported under participant flow and baseline.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsVE for First Event of ACP at 5-7 Years of Follow-up1200 Participants
Unvaccinated ParticipantsVE for First Event of ACP at 5-7 Years of Follow-up1757 Participants
95% CI: [-12.626, 4.488]
Primary

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).

Time frame: 0 to 3 years of follow up

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'Overall Number of Participants Analyzed (N)' for Unvaccinated arm=participants unvaccinated at start of study evaluable for this OM; N for vaccinated arm=participants vaccinated by end of follow up for this OM; hence, N is different from those reported under participant flow and baseline.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsVE for First Event of IPD at 0-3 Years of Follow-up73 Participants
Unvaccinated ParticipantsVE for First Event of IPD at 0-3 Years of Follow-up566 Participants
95% CI: [13.249, 51.275]
Primary

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).

Time frame: 3 to 5 years of follow up

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'N' for Unvaccinated arm=number of participants unvaccinated at start of specified follow-up time evaluable for this OM; N for vaccinated arm=participants vaccinated by end of follow up time for this OM; hence, N is different from those reported under participant flow and baseline.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsVE for First Event of IPD at 3-5 Years of Follow-up59 Participants
Unvaccinated ParticipantsVE for First Event of IPD at 3-5 Years of Follow-up116 Participants
95% CI: [-50.408, 26.302]
Primary

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).

Time frame: 5 to 7 years of follow up

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'N' for Unvaccinated arm=number of participants unvaccinated at start of specified follow-up time evaluable for this OM; N for vaccinated arm=participants vaccinated by end of follow up time for this OM; hence, N is different from those reported under participant flow and baseline.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsVE for First Event of IPD at 5-7 Years of Follow-up32 Participants
Unvaccinated ParticipantsVE for First Event of IPD at 5-7 Years of Follow-up54 Participants
95% CI: [-46.883, 43.961]
Primary

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).

Time frame: 0 to 3 years of follow up

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'Overall Number of Participants Analyzed (N)' for Unvaccinated arm=participants unvaccinated at start of study evaluable for this outcome measure (OM); N for vaccinated arm=participants vaccinated by end of follow up for this OM; hence, N is different from those reported under participant flow and baseline.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsVE for First Event of PP at 0-3 Years of Follow-up161 Participants
Unvaccinated ParticipantsVE for First Event of PP at 0-3 Years of Follow-up1092 Participants
95% CI: [9.4, 38.781]
Primary

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).

Time frame: 3 to 5 years of follow up

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'N' for Unvaccinated arm=number of participants unvaccinated at start of specified follow-up time evaluable for this OM; N for vaccinated arm=participants vaccinated by end of follow up time for this OM; hence, N is different from those reported under participant flow and baseline.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsVE for First Event of PP at 3-5 Years of Follow-up94 Participants
Unvaccinated ParticipantsVE for First Event of PP at 3-5 Years of Follow-up184 Participants
95% CI: [-42.076, 18.569]
Primary

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).

Time frame: 5 to 7 years of follow up

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'N' for Unvaccinated arm=number of participants unvaccinated at start of specified follow-up time evaluable for this OM; N for vaccinated arm=participants vaccinated by end of follow up time for this OM; hence, N is different from those reported under participant flow and baseline.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsVE for First Event of PP at 5-7 Years of Follow-up49 Participants
Unvaccinated ParticipantsVE for First Event of PP at 5-7 Years of Follow-up69 Participants
95% CI: [-34.916, 41.871]
Secondary

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).

Time frame: 0 to 3 years, 3 to 5 years and 5 to 7 years of follow-up (maximum up to 8.25 years)

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'N' for Unvaccinated arm=participants unvaccinated at start of study evaluable for this OM; N for vaccinated arm=participants vaccinated by end of follow up for this OM; hence, N is different from those reported under participant flow and baseline. .n:number of participants evaluable for specified rows.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsPCV13 VE for First Event of Pneumococcal Pneumonia or Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up0-3 Years3996 Participants
PCV13-vaccinated ParticipantsPCV13 VE for First Event of Pneumococcal Pneumonia or Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up3-5 Years1886 Participants
PCV13-vaccinated ParticipantsPCV13 VE for First Event of Pneumococcal Pneumonia or Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up5-7 Years1031 Participants
PCV13-vaccinated ParticipantsPCV13 VE for First Event of Pneumococcal Pneumonia or Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-upOverall follow up7155 Participants
Unvaccinated ParticipantsPCV13 VE for First Event of Pneumococcal Pneumonia or Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-upOverall follow up30139 Participants
Unvaccinated ParticipantsPCV13 VE for First Event of Pneumococcal Pneumonia or Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up0-3 Years24423 Participants
Unvaccinated ParticipantsPCV13 VE for First Event of Pneumococcal Pneumonia or Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up5-7 Years1460 Participants
Unvaccinated ParticipantsPCV13 VE for First Event of Pneumococcal Pneumonia or Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up3-5 Years3979 Participants
Comparison: IPTW\*IPCW + imbalanced variables: 0-3 years95% CI: [10.213, 17.022]
Comparison: IPTW\*IPCW + imbalanced variables: 3-5 years95% CI: [1.707, 13.261]
Comparison: IPTW\*IPCW + imbalanced variables: 5-7 years95% CI: [-15.691, 3.26]
Comparison: IPTW\*IPCW + imbalanced variables: overall follow up95% CI: [7.056, 12.66]
Secondary

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).

Time frame: 0 to 3 years, 3 to 5 years and 5 to 7 years of follow-up (maximum up to 8.25 years)

Population: PCV13 vaccination status was a time varying exposure and participants could be counted in both PCV13 vaccinated or unvaccinated arms, depending on vaccination status during follow-up. Here, 'N' for Unvaccinated arm=participants unvaccinated at start of study evaluable for this OM; N for vaccinated arm=participants vaccinated by end of follow up for this OM; hence, N is different from those reported under participant flow and baseline. .n:number of participants evaluable for specified rows.

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
PCV13-vaccinated ParticipantsPCV13 VE for First Event of Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up0-3 Years3980 Participants
PCV13-vaccinated ParticipantsPCV13 VE for First Event of Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up3-5 Years1881 Participants
PCV13-vaccinated ParticipantsPCV13 VE for First Event of Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up5-7 Years1030 Participants
PCV13-vaccinated ParticipantsPCV13 VE for First Event of Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-upOverall follow up7133 Participants
Unvaccinated ParticipantsPCV13 VE for First Event of Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-upOverall follow up30010 Participants
Unvaccinated ParticipantsPCV13 VE for First Event of Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up0-3 Years24302 Participants
Unvaccinated ParticipantsPCV13 VE for First Event of Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up5-7 Years1461 Participants
Unvaccinated ParticipantsPCV13 VE for First Event of Pneumonia With Unspecified Causes at 0-3, 3-5, 5-7 and Overall Years of Follow-up3-5 Years3970 Participants
Comparison: IPTW\*IPCW + imbalanced variables: 0-3 years95% CI: [10.149, 16.978]
Comparison: IPTW\*IPCW + imbalanced variables: 3-5 years95% CI: [1.708, 13.276]
Comparison: IPTW\*IPCW + imbalanced variables: 5-7 years95% CI: [-15.809, 3.166]
Comparison: IPTW\*IPCW + imbalanced variables: overall follow up95% CI: [7, 12.617]

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026