PMID- 29896103
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220410
IS  - 1663-9812 (Print)
IS  - 1663-9812 (Electronic)
IS  - 1663-9812 (Linking)
VI  - 9
DP  - 2018
TI  - Characterization of the Differential Adverse Event Rates by Race/Ethnicity Groups 
      for HPV Vaccine by Integrating Data From Different Sources.
PG  - 539
LID - 10.3389/fphar.2018.00539 [doi]
LID - 539
AB  - Data from the Vaccine Adverse Event Reporting System (VAERS) contain 
      spontaneously reported adverse events (AEs) from the public. It has been a major 
      data source for detecting AEs and monitoring vaccine safety. As one major 
      limitation of spontaneous surveillance systems, the VAERS reports by themselves 
      sometimes do not provide enough information to answer certain research questions. 
      For example, patient level demographics are very limited in VAERS due to the 
      protection of patient privacy, such that investigation of differential AE rates 
      across race/ethnicity groups cannot be conducted using VAERS data only. For many 
      vaccines, racial and ethnical difference in immune responses has been found in 
      studies based on racially diverse cohorts. It is of great interest to 
      characterize the differential AE rates by race and ethnicity groups for vaccines. 
      In this study, we propose a novel statistical method to integrate VAERS data with 
      data from other resources for vaccine pharmacovigilance research. Specifically, 
      we integrate VAERS data with CDC survey data of vaccine coverage and U.S. census 
      data of race/ethnicity distribution to quantify differential AE rates by 
      race/ethnicity groups for HPV vaccine. We utilize the difference of 
      race/ethnicity distributions across U.S. states to investigate the association 
      between AE reporting rate and race/ethnicity groups at the population level. We 
      identify 9 AEs with significantly different reporting rates between non-Hispanic 
      White females and other race/ethnicity groups.
FAU - Huang, Jing
AU  - Huang J
AD  - Department of Biostatistics, Epidemiology, and Informatics, University of 
      Pennsylvania, Philadelphia, PA, United States.
FAU - Du, Jingcheng
AU  - Du J
AD  - School of Biomedical Informatics, University of Texas Health Science Center, 
      Houston, TX, United States.
FAU - Duan, Rui
AU  - Duan R
AD  - Department of Biostatistics, Epidemiology, and Informatics, University of 
      Pennsylvania, Philadelphia, PA, United States.
FAU - Zhang, Xinyuan
AU  - Zhang X
AD  - School of Biomedical Informatics, University of Texas Health Science Center, 
      Houston, TX, United States.
FAU - Tao, Cui
AU  - Tao C
AD  - School of Biomedical Informatics, University of Texas Health Science Center, 
      Houston, TX, United States.
FAU - Chen, Yong
AU  - Chen Y
AD  - Department of Biostatistics, Epidemiology, and Informatics, University of 
      Pennsylvania, Philadelphia, PA, United States.
LA  - eng
GR  - R01 AI116794/AI/NIAID NIH HHS/United States
GR  - R01 AI130460/AI/NIAID NIH HHS/United States
GR  - R01 LM011829/LM/NLM NIH HHS/United States
GR  - R01 LM012607/LM/NLM NIH HHS/United States
PT  - Journal Article
DEP - 20180524
PL  - Switzerland
TA  - Front Pharmacol
JT  - Frontiers in pharmacology
JID - 101548923
PMC - PMC5987677
OTO - NOTNLM
OT  - HPV
OT  - data integration
OT  - race/ethnicity
OT  - vaccine adverse event reporting system
OT  - vaccine safety
EDAT- 2018/06/14 06:00
MHDA- 2018/06/14 06:01
PMCR- 2018/05/24
CRDT- 2018/06/14 06:00
PHST- 2018/01/31 00:00 [received]
PHST- 2018/05/04 00:00 [accepted]
PHST- 2018/06/14 06:00 [entrez]
PHST- 2018/06/14 06:00 [pubmed]
PHST- 2018/06/14 06:01 [medline]
PHST- 2018/05/24 00:00 [pmc-release]
AID - 10.3389/fphar.2018.00539 [doi]
PST - epublish
SO  - Front Pharmacol. 2018 May 24;9:539. doi: 10.3389/fphar.2018.00539. eCollection 
      2018.