IDEAS home Printed from https://ideas.repec.org/a/spr/drugsa/v44y2021i3d10.1007_s40264-020-01031-1.html
   My bibliography  Save this article

Incidence Rates of Autoimmune Diseases in European Healthcare Databases: A Contribution of the ADVANCE Project

Author

Listed:
  • Corinne Willame

    (Julius Global Health, University Medical Center Utrecht)

  • Caitlin Dodd

    (Julius Global Health, University Medical Center Utrecht)

  • Lieke van der Aa

    (Sciensano)

  • Gino Picelli

    (Epidemiological Information for Clinical Research from an Italian Network of Family Paediatricians (Pedianet))

  • Hanne-Dorthe Emborg

    (Statens Serum Institut)

  • Johnny Kahlert

    (Aarhus University Hospital)

  • Rosa Gini

    (Agenzia regionale di sanità della Toscana)

  • Consuelo Huerta

    (Spanish Agency of Medicines and Medical Devices-AEMPS)

  • Elisa Martín-Merino

    (Spanish Agency of Medicines and Medical Devices-AEMPS)

  • Chris McGee

    (University of Surrey
    Royal College of General Practitioners, Research and Surveillance Centre)

  • Simon Lusignan

    (University of Surrey
    Royal College of General Practitioners, Research and Surveillance Centre)

  • Giuseppe Roberto

    (Agenzia regionale di sanità della Toscana)

  • Marco Villa

    (Ospedale Val Padana)

  • Daniel Weibel

    (VACCINE.GRID
    Erasmus University Medical Center)

  • Lina Titievsky

    (Pfizer)

  • Miriam C. J. M. Sturkenboom

    (Julius Global Health, University Medical Center Utrecht
    VACCINE.GRID
    P-95)

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.

Suggested Citation

  • Corinne Willame & Caitlin Dodd & Lieke van der Aa & Gino Picelli & Hanne-Dorthe Emborg & Johnny Kahlert & Rosa Gini & Consuelo Huerta & Elisa Martín-Merino & Chris McGee & Simon Lusignan & Giuseppe Ro, 2021. "Incidence Rates of Autoimmune Diseases in European Healthcare Databases: A Contribution of the ADVANCE Project," Drug Safety, Springer, vol. 44(3), pages 383-395, March.
  • Handle: RePEc:spr:drugsa:v:44:y:2021:i:3:d:10.1007_s40264-020-01031-1
    DOI: 10.1007/s40264-020-01031-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40264-020-01031-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s40264-020-01031-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Likeng Liang & Jifa Hu & Gang Sun & Na Hong & Ge Wu & Yuejun He & Yong Li & Tianyong Hao & Li Liu & Mengchun Gong, 2022. "Artificial Intelligence-Based Pharmacovigilance in the Setting of Limited Resources," Drug Safety, Springer, vol. 45(5), pages 511-519, May.
    2. Andrea Spini & Giulia Hyeraci & Claudia Bartolini & Sandra Donnini & Pietro Rosellini & Rosa Gini & Marina Ziche & Francesco Salvo & Giuseppe Roberto, 2021. "Real-World Utilization of Target- and Immunotherapies for Lung Cancer: A Scoping Review of Studies Based on Routinely Collected Electronic Healthcare Data," IJERPH, MDPI, vol. 18(14), pages 1-21, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:drugsa:v:44:y:2021:i:3:d:10.1007_s40264-020-01031-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com/economics/journal/40264 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.