Incidence Rates of Autoimmune Diseases in European Healthcare Databases: A Contribution of the ADVANCE Project
- PMID: 33462778
- PMCID: PMC7892524
- DOI: 10.1007/s40264-020-01031-1
Incidence Rates of Autoimmune Diseases in European Healthcare Databases: A Contribution of the ADVANCE Project
Abstract
Introduction: The public-private ADVANCE collaboration developed and tested a system to generate evidence on vaccine benefits and risks using European electronic healthcare databases. In the safety of vaccines, background incidence rates are key to allow proper monitoring and assessment. The goals of this study were to compute age-, sex-, and calendar-year stratified incidence rates of nine autoimmune diseases in seven European healthcare databases from four countries and to assess validity by comparing with published data.
Methods: Event rates were calculated for the following outcomes: acute disseminated encephalomyelitis, Bell's palsy, Guillain-Barré syndrome, immune thrombocytopenia purpura, Kawasaki disease, optic neuritis, narcolepsy, systemic lupus erythematosus, and transverse myelitis. Cases were identified by diagnosis codes. Participating organizations/databases originated from Denmark, Italy, Spain, and the UK. The source population comprised all persons registered, with at least 1 year of data prior to the study start, or follow-up from birth. Stratified incidence rates were computed per database over the period 2003 to 2014.
Results: Between 2003 and 2014, 148,947 incident cases of nine autoimmune diseases were identified. Crude incidence rates were highest for Bell's palsy [23.8/100,000 person-years (PYs), 95% confidence interval (CI) 23.6-24.1] and lowest for Kawasaki disease (0.7/100,000 PYs, 95% CI 0.6-0.7). Specific patterns were observed by sex, age, calendar time, and data sources. Rates were comparable with published estimates.
Conclusion: A range of autoimmune events could be identified in the ADVANCE system. Estimation of rates indicated consistency across selected European healthcare databases, as well as consistency with US published data.
Conflict of interest statement
At the time of the study and manuscript development, Corinne Willame worked part time with the GlaxoSmithKline (GSK) group of companies and declares not to receive any financial support from the GSK group of companies for the submitted work. At the time of the study and manuscript development, Lina Titievsky was a Pfizer employee. Rosa Gini is employed by ARS, a public health agency that conducts or participates in pharmacoepidemiology studies. The budget of ARS is partially sustained by such studies. Simon de Lusignan has been a member of Advisory Boards for Sanofi and Seqirus, and has received funding for vaccine-related researches from GSK, Seqirus, and Takeda. Daniel Weibel has been a consultant for GSK’s malaria vaccine program. Miriam Sturkenboom is principal investigator of post-authorization safety studies requested by the European Medicines Agency, for Novartis, none of which were related to the topic described. Caitlin Dodd, Lieke van der Aa, Gino Picelli, Hanne-Dorthe Emborg, Johnny Kahlert, Consuelo Huerta, Elisa Martín-Merino, Chris McGee, Giuseppe Roberto, and Marco Villa declare they have no conflicts of interest.
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Comment in
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Authors' Reply to Juergen O Kirchner's Comment on "Incidence Rates of Autoimmune Diseases in European Healthcare Databases: A Contribution of the ADVANCE Project".Drug Saf. 2023 Aug;46(8):813-815. doi: 10.1007/s40264-023-01311-6. Epub 2023 May 27. Drug Saf. 2023. PMID: 37243964 Free PMC article. No abstract available.
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Comment on "Rates of Autoimmune Diseases in European Healthcare Databases: A Contribution of the ADVANCE Project".Drug Saf. 2023 Aug;46(8):809-811. doi: 10.1007/s40264-023-01310-7. Epub 2023 May 27. Drug Saf. 2023. PMID: 37243965 Free PMC article. No abstract available.
References
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- Vaccine monitoring Collaboration for Europe. VAC4EU (2019). Available on: https://vac4eu.org/. Accessed on 18 Dec 2020.
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- Sturkenboom M, van der Aa L, Bollaerts K, Emborg HD, Ferreira G, Gino R, et al. The ADVANCE distributed network system for evidence generation on vaccines coverage, benefits and risks based on electronic health care data. Vaccine. 2020; Suppl 38:B76–B83. - PubMed
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- Giesecke J, Kramarz P, Kokki M, for the ADVANCE project team. Blueprint of a framework to rapidly provide scientific evidence on post-marketing vaccination benefits and risks for informed decisions. WP7—Implementability analysis. V2.0. ADVANCE Consortium; 2018. Available on: https://vac4eu.org/wp-content/uploads/2019/02/D77Blueprint.pdf. Accessed on 18 Dec 2020.
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