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1631. Background Incidence Rates of Health Outcomes Relevant to Vaccine Monitoring in Lyme Disease Endemic and Non-endemic US Regions using Administrative Claims Data
BACKGROUND: A 6-valent vaccine (VLA15) is being tested in clinical trials for the prevention of Lyme disease caused by Borrelia burgdorferi sensu lato strains expressing OspA serotypes 1-6. Background incidence rates (IRs) of health outcomes in Lyme disease endemic and non-endemic regions of the US...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677686/ http://dx.doi.org/10.1093/ofid/ofad500.1465 |
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author | Dreyfus, Jill Munnangi, Swapna DeKoven, Mitchell Bengtsson, Camilla Correia, Barbara Figueiredo, Rejane Galvin, Sarah Stark, James H Zawora, Michele Riddle, Mark Maguire, Jason Jiang, Qin Turrado, Juan Naredo Svanström, Henrik Bailey, Steven |
author_facet | Dreyfus, Jill Munnangi, Swapna DeKoven, Mitchell Bengtsson, Camilla Correia, Barbara Figueiredo, Rejane Galvin, Sarah Stark, James H Zawora, Michele Riddle, Mark Maguire, Jason Jiang, Qin Turrado, Juan Naredo Svanström, Henrik Bailey, Steven |
author_sort | Dreyfus, Jill |
collection | PubMed |
description | BACKGROUND: A 6-valent vaccine (VLA15) is being tested in clinical trials for the prevention of Lyme disease caused by Borrelia burgdorferi sensu lato strains expressing OspA serotypes 1-6. Background incidence rates (IRs) of health outcomes in Lyme disease endemic and non-endemic regions of the US may help to contextualize whether the frequencies of events reported during vaccine clinical trials or post-marketing are consistent with expected population level rates. The objective of this study was to estimate and compare IRs of health outcomes in Lyme disease endemic vs. non-endemic regions using US administrative claims data. METHODS: IQVIA PharMetrics(®) Plus commercial claims database was used to estimate IRs of 63 outcomes relevant to vaccine safety monitoring in the US during 01/01/2017-12/31/2019. Endemic regions were classified using 3-digit zip codes that overlapped with Lyme disease high incidence counties (10 cases/100,000 persons) according to the CDC. Analyses included all individuals aged ≥ 2 years with ≥ 1 year of enrollment. Outcomes were defined by ICD-10-CM diagnosis codes according to the literature or expert input and required ≥ 1 inpatient or ≥ 2 outpatient claims/codes. Crude IRs and 95% confidence intervals (CIs) were calculated for each outcome and compared between endemic vs. non-endemic regions using IR ratios (IRR). RESULTS: The study population included 8.7M in endemic and 27.8M in non-endemic regions. Mean age was slightly higher in endemic (37.7 yrs [SD=18.9]) vs. non-endemic (36.8 yrs [SD=19.5]) cohorts, and 51% in both cohorts were female. Table 1 provides a summary of the IRs and IRRs for the 10 highest and 10 lowest ranking IRRs for health conditions by endemic region status. IRRs (95% CI) ranged from a low of 0.74 (0.71, 0.78) for systemic lupus erythematosus to a high of 2.14 (1.93, 2.37) for meningoencephalitis. [Figure: see text] CONCLUSION: This study identified potential differences between Lyme endemic and non-endemic regions of the US in background IRs of health conditions in vaccine safety monitoring. Differences in background IRs between endemic and non-endemic regions should be considered when contextualizing possible safety signals in clinical trials and post-marketing. DISCLOSURES: Jill Dreyfus, PhD, MPH, Pfizer, Inc.: Employment|Pfizer, Inc.: Stocks/Bonds Swapna Munnangi, PhD, IQVIA: Employment Camilla Bengtsson, PhD, IQVIA: Employment|Pfizer, Inc: Advisor/Consultant Barbara Correia, PhD, IQVIA: Employee|Pfizer, Inc.: Advisor/Consultant Rejane Figueiredo, PhD, IQVIA: Biostatistician Sarah Galvin, BS, Pfizer, Inc.: Employment James H. Stark, PhD, Pfizer: Employee|Pfizer: Stocks/Bonds Michele Zawora, MD, FAAFP, Pfizer: Employment|Pfizer: Stocks/Bonds Mark Riddle, MD, DrPH, Pfizer: Employee salary Jason Maguire, MD, Pfizer, Inc.: Employee|Pfizer, Inc.: Stocks/Bonds Qin Jiang, PhD, Pfizer: Employee|Pfizer: Employee|Pfizer: Stocks/Bonds|Pfizer: Stocks/Bonds Juan Naredo Turrado, MS, IQVIA: Employee Steven Bailey, MD, MPH, MBA, Pfizer, Inc.: Employment |
format | Online Article Text |
id | pubmed-10677686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106776862023-11-27 1631. Background Incidence Rates of Health Outcomes Relevant to Vaccine Monitoring in Lyme Disease Endemic and Non-endemic US Regions using Administrative Claims Data Dreyfus, Jill Munnangi, Swapna DeKoven, Mitchell Bengtsson, Camilla Correia, Barbara Figueiredo, Rejane Galvin, Sarah Stark, James H Zawora, Michele Riddle, Mark Maguire, Jason Jiang, Qin Turrado, Juan Naredo Svanström, Henrik Bailey, Steven Open Forum Infect Dis Abstract BACKGROUND: A 6-valent vaccine (VLA15) is being tested in clinical trials for the prevention of Lyme disease caused by Borrelia burgdorferi sensu lato strains expressing OspA serotypes 1-6. Background incidence rates (IRs) of health outcomes in Lyme disease endemic and non-endemic regions of the US may help to contextualize whether the frequencies of events reported during vaccine clinical trials or post-marketing are consistent with expected population level rates. The objective of this study was to estimate and compare IRs of health outcomes in Lyme disease endemic vs. non-endemic regions using US administrative claims data. METHODS: IQVIA PharMetrics(®) Plus commercial claims database was used to estimate IRs of 63 outcomes relevant to vaccine safety monitoring in the US during 01/01/2017-12/31/2019. Endemic regions were classified using 3-digit zip codes that overlapped with Lyme disease high incidence counties (10 cases/100,000 persons) according to the CDC. Analyses included all individuals aged ≥ 2 years with ≥ 1 year of enrollment. Outcomes were defined by ICD-10-CM diagnosis codes according to the literature or expert input and required ≥ 1 inpatient or ≥ 2 outpatient claims/codes. Crude IRs and 95% confidence intervals (CIs) were calculated for each outcome and compared between endemic vs. non-endemic regions using IR ratios (IRR). RESULTS: The study population included 8.7M in endemic and 27.8M in non-endemic regions. Mean age was slightly higher in endemic (37.7 yrs [SD=18.9]) vs. non-endemic (36.8 yrs [SD=19.5]) cohorts, and 51% in both cohorts were female. Table 1 provides a summary of the IRs and IRRs for the 10 highest and 10 lowest ranking IRRs for health conditions by endemic region status. IRRs (95% CI) ranged from a low of 0.74 (0.71, 0.78) for systemic lupus erythematosus to a high of 2.14 (1.93, 2.37) for meningoencephalitis. [Figure: see text] CONCLUSION: This study identified potential differences between Lyme endemic and non-endemic regions of the US in background IRs of health conditions in vaccine safety monitoring. Differences in background IRs between endemic and non-endemic regions should be considered when contextualizing possible safety signals in clinical trials and post-marketing. DISCLOSURES: Jill Dreyfus, PhD, MPH, Pfizer, Inc.: Employment|Pfizer, Inc.: Stocks/Bonds Swapna Munnangi, PhD, IQVIA: Employment Camilla Bengtsson, PhD, IQVIA: Employment|Pfizer, Inc: Advisor/Consultant Barbara Correia, PhD, IQVIA: Employee|Pfizer, Inc.: Advisor/Consultant Rejane Figueiredo, PhD, IQVIA: Biostatistician Sarah Galvin, BS, Pfizer, Inc.: Employment James H. Stark, PhD, Pfizer: Employee|Pfizer: Stocks/Bonds Michele Zawora, MD, FAAFP, Pfizer: Employment|Pfizer: Stocks/Bonds Mark Riddle, MD, DrPH, Pfizer: Employee salary Jason Maguire, MD, Pfizer, Inc.: Employee|Pfizer, Inc.: Stocks/Bonds Qin Jiang, PhD, Pfizer: Employee|Pfizer: Employee|Pfizer: Stocks/Bonds|Pfizer: Stocks/Bonds Juan Naredo Turrado, MS, IQVIA: Employee Steven Bailey, MD, MPH, MBA, Pfizer, Inc.: Employment Oxford University Press 2023-11-27 /pmc/articles/PMC10677686/ http://dx.doi.org/10.1093/ofid/ofad500.1465 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Dreyfus, Jill Munnangi, Swapna DeKoven, Mitchell Bengtsson, Camilla Correia, Barbara Figueiredo, Rejane Galvin, Sarah Stark, James H Zawora, Michele Riddle, Mark Maguire, Jason Jiang, Qin Turrado, Juan Naredo Svanström, Henrik Bailey, Steven 1631. Background Incidence Rates of Health Outcomes Relevant to Vaccine Monitoring in Lyme Disease Endemic and Non-endemic US Regions using Administrative Claims Data |
title | 1631. Background Incidence Rates of Health Outcomes Relevant to Vaccine Monitoring in Lyme Disease Endemic and Non-endemic US Regions using Administrative Claims Data |
title_full | 1631. Background Incidence Rates of Health Outcomes Relevant to Vaccine Monitoring in Lyme Disease Endemic and Non-endemic US Regions using Administrative Claims Data |
title_fullStr | 1631. Background Incidence Rates of Health Outcomes Relevant to Vaccine Monitoring in Lyme Disease Endemic and Non-endemic US Regions using Administrative Claims Data |
title_full_unstemmed | 1631. Background Incidence Rates of Health Outcomes Relevant to Vaccine Monitoring in Lyme Disease Endemic and Non-endemic US Regions using Administrative Claims Data |
title_short | 1631. Background Incidence Rates of Health Outcomes Relevant to Vaccine Monitoring in Lyme Disease Endemic and Non-endemic US Regions using Administrative Claims Data |
title_sort | 1631. background incidence rates of health outcomes relevant to vaccine monitoring in lyme disease endemic and non-endemic us regions using administrative claims data |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677686/ http://dx.doi.org/10.1093/ofid/ofad500.1465 |
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