Background incidence rates of health outcomes in populations at risk for Lyme disease using US administrative claims data.

Background incidence rates Epidemiology Lyme disease Vaccine

Journal

Vaccine
ISSN: 1873-2518
Titre abrégé: Vaccine
Pays: Netherlands
ID NLM: 8406899

Informations de publication

Date de publication:
22 Jan 2024
Historique:
received: 06 10 2023
revised: 09 01 2024
accepted: 12 01 2024
medline: 24 1 2024
pubmed: 24 1 2024
entrez: 23 1 2024
Statut: aheadofprint

Résumé

Background incidence rates (IRs) of health outcomes in Lyme disease endemic regions are useful to contextualize events reported during Lyme disease vaccine clinical trials or post-marketing. The objective of this study was to estimate and compare IRs of health outcomes in Lyme disease endemic versus non-endemic regions in the US during pre-COVID and COVID era timeframes. IQVIA PharMetrics® Plus commercial claims database was used to estimate IRs of 64 outcomes relevant to vaccine safety monitoring in the US during January 1, 2017-December 31, 2019 and January 1, 2020-December 31, 2021. Analyses included all individuals aged ≥ 2 years with ≥ 1 year of continuous enrollment. Outcomes were defined by International Classification of Diseases Clinical Modification, 10th Revision (ICD-10-CM) diagnosis codes. IRs and 95 % confidence intervals (CIs) were calculated for each outcome and compared between endemic vs. non-endemic regions, and pre-COVID vs. COVID era using IR ratios (IRR). The study population included 8.7 million (M) in endemic and 27.8 M in non-endemic regions. Mean age and sex were similar in endemic and non-endemic regions. In both study periods, the IRs were statistically higher in endemic regions for anaphylaxis, meningoencephalitis, myocarditis/pericarditis, and rash (including erythema migrans) as compared with non-endemic regions. Conversely, significantly lower IRs were observed in endemic regions for acute kidney injury, disseminated intravascular coagulation, heart failure, myelitis, myopathies, and systemic lupus erythematosus in both study periods. Most outcomes were statistically less frequent during the COVID-era. This study identified potential differences between Lyme endemic and non-endemic regions of the US in background IRs of health conditions during pre-COVID and COVID era timeframes to inform Lyme disease vaccine safety monitoring. These regional and temporal differences in background IRs should be considered when contextualizing possible safety signals in clinical trials and post-marketing of a vaccine targeted at Lyme disease prevention.

Sections du résumé

BACKGROUND BACKGROUND
Background incidence rates (IRs) of health outcomes in Lyme disease endemic regions are useful to contextualize events reported during Lyme disease vaccine clinical trials or post-marketing. The objective of this study was to estimate and compare IRs of health outcomes in Lyme disease endemic versus non-endemic regions in the US during pre-COVID and COVID era timeframes.
METHODS METHODS
IQVIA PharMetrics® Plus commercial claims database was used to estimate IRs of 64 outcomes relevant to vaccine safety monitoring in the US during January 1, 2017-December 31, 2019 and January 1, 2020-December 31, 2021. Analyses included all individuals aged ≥ 2 years with ≥ 1 year of continuous enrollment. Outcomes were defined by International Classification of Diseases Clinical Modification, 10th Revision (ICD-10-CM) diagnosis codes. IRs and 95 % confidence intervals (CIs) were calculated for each outcome and compared between endemic vs. non-endemic regions, and pre-COVID vs. COVID era using IR ratios (IRR).
RESULTS RESULTS
The study population included 8.7 million (M) in endemic and 27.8 M in non-endemic regions. Mean age and sex were similar in endemic and non-endemic regions. In both study periods, the IRs were statistically higher in endemic regions for anaphylaxis, meningoencephalitis, myocarditis/pericarditis, and rash (including erythema migrans) as compared with non-endemic regions. Conversely, significantly lower IRs were observed in endemic regions for acute kidney injury, disseminated intravascular coagulation, heart failure, myelitis, myopathies, and systemic lupus erythematosus in both study periods. Most outcomes were statistically less frequent during the COVID-era.
CONCLUSION CONCLUSIONS
This study identified potential differences between Lyme endemic and non-endemic regions of the US in background IRs of health conditions during pre-COVID and COVID era timeframes to inform Lyme disease vaccine safety monitoring. These regional and temporal differences in background IRs should be considered when contextualizing possible safety signals in clinical trials and post-marketing of a vaccine targeted at Lyme disease prevention.

Identifiants

pubmed: 38262807
pii: S0264-410X(24)00050-1
doi: 10.1016/j.vaccine.2024.01.037
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: [Swapna Munnangi reports a relationship with IQVIA that includes: employment]. JD, JHS, MZ, MSR, JDM, QJ, CI, and SB were employees and shareholders at Pfizer, Inc. at the time of this study. MDK, SM, CB, BC, RF, JNT and HK were consultants to Pfizer through their employment at IQVIA at the time of the study.

Auteurs

Jill Dreyfus (J)

Pfizer, Inc., New York, NY, USA. Electronic address: jill.dreyfus@pfizer.com.

Swapna Munnangi (S)

IQVIA, Falls Church, VA, USA.

Camilla Bengtsson (C)

IQVIA, Solna, Sweden.

Bárbara Correia (B)

IQVIA, Oeiras, Portugal.

Rejane Figueiredo (R)

IQVIA, Espoo, Finland.

James H Stark (JH)

Vaccines, Antivirals, and Evidence Generation, Medical Affairs, Pfizer Biopharma Group, Cambridge, MA, USA.

Michele Zawora (M)

Pfizer, Inc., New York, NY, USA.

Mark S Riddle (MS)

Pfizer, Inc., New York, NY, USA.

Jason D Maguire (JD)

Pfizer, Inc., New York, NY, USA.

Qin Jiang (Q)

Pfizer, Inc., New York, NY, USA.

Claudia Ianos (C)

Pfizer AG, Switzerland.

Juan Naredo Turrado (J)

IQVIA, Bordeaux, France.

Henrik Svanström (H)

IQVIA, Copenhagen, Denmark.

Steven Bailey (S)

Pfizer, Inc., New York, NY, USA.

Mitchell DeKoven (M)

IQVIA, Falls Church, VA, USA.

Classifications MeSH