A1 Refereed original research article in a scientific journal
Transfer of Finnish adolescents with epilepsy to adult care: a population-based study
Authors: Sillanpää, Matti L.; Reinhold, Vivian; Toivonen, Leevi; Camfield, Peter R.
Publisher: Elsevier BV
Publication year: 2026
Journal: Epilepsy and Behavior
Article number: 110856
Volume: 175
ISSN: 1525-5050
eISSN: 1525-5069
DOI: https://doi.org/10.1016/j.yebeh.2025.110856
Publication's open availability at the time of reporting: Open Access
Publication channel's open availability : Partially Open Access publication channel
Web address : https://doi.org/10.1016/j.yebeh.2025.110856
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/506358789
Self-archived copy's licence: CC BY
Self-archived copy's version: Publisher`s PDF
Background
Transferring adolescents with epilepsy (AWE) to adult care is a complex process, yet there is limited data on its overall epidemiology and clinical implications.
ObjectiveThis population-based study analyzes the long-term clinical trajectories and predictors of transfer among AWE within a robust Finnish healthcare system.
MethodsA cohort of 439 AWE was followed for a mean of 10.28 years. Transfer outcomes, care settings, and long-term seizure control were evaluated for patients reaching transfer age, focusing on predictors of public adult specialty care.
ResultsOf 222 AWE reaching transfer age, 189 (85.1 %) were transferred to adult services, with 64 % entering university hospital care. Remission was achieved in 23 % during extended follow-up, while 27 % remained drug-resistant. Multivariable analysis identified developmental and epileptic encephalopathy, specific developmental disorders, and comorbidities such as asthma, allergies, and obesity as significant predictors for public adult specialty care. Notably, changing the transfer age from 16 to 18 years had no significant effect on transfer rates.
ConclusionTransfer to adult specialty care affects the vast majority of AWE, imposing considerable demands on public health systems. These findings underscore the need for early identification of high-risk patients to inform resource planning and individualized care strategies.
Downloadable publication This is an electronic reprint of the original article. |