Screening of attention and executive functions in pediatric patients at a tertiary epilepsy center.

Attention BRIEF Cognitive screening EpiTrack Junior Executive function Neuropsychology

Journal

European journal of paediatric neurology : EJPN : official journal of the European Paediatric Neurology Society
ISSN: 1532-2130
Titre abrégé: Eur J Paediatr Neurol
Pays: England
ID NLM: 9715169

Informations de publication

Date de publication:
Sep 2023
Historique:
received: 16 01 2023
revised: 23 05 2023
accepted: 19 06 2023
pubmed: 8 7 2023
medline: 8 7 2023
entrez: 7 7 2023
Statut: ppublish

Résumé

Executive dysfunction is prevalent in children with epilepsy, and associated with poor psychosocial outcome. Sensitive and time effective tools are needed, which capture executive dysfunction across a wide range of impairment. The present study evaluates the applicability of EpiTrack Junior® (EpiTrackJr) as a screening tool at a tertiary epilepsy center, and explore how EpiTrackJr in combination with a subjective measure of everyday attention and executive functions (EFs) may provide clinically important information. Retrospective study including 235 pediatric patients admitted to the Norwegian National Centre for Epilepsy. EpiTrackJr and Behavioral Rating Inventory of Executive Functioning (BRIEF) were used to assess attention and EFs. 27,7% obtained a score categorized as "average/unimpaired", 23% as "mildly impaired", and 47.7% as "significantly impaired" on EpiTrackJr. The distribution of age-corrected EpiTrackJr scores was satisfactory. Performance was related to numbers of anti-seizure medication (ASM load), comorbidity and IQ. We found a significant, but weak correlation between EpiTrackJr performance and the BRIEF Metacognitive Index (r = -0.236, n = 108, p=.014), but no significant correlation with the Behavioral Regulation Index (r = -0.178, n = 108, p=.065). Our results indicate that EpiTrackJr is applicable as a screening tool for attention and EFs in pediatric patients at a tertiary epilepsy center. Impaired test performance was associated with greater ASM load, comorbidity and lower IQ. Performance based measures and behavior ratings likely capture different aspects of EFs. In combination, the two provide important and nonredundant information about the child's EFs in different settings.

Identifiants

pubmed: 37418997
pii: S1090-3798(23)00096-X
doi: 10.1016/j.ejpn.2023.06.006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

35-41

Informations de copyright

© 2023 Published by Elsevier Ltd on behalf of European Paediatric Neurology Society.

Déclaration de conflit d'intérêts

Declaration of competing interest C. Helmstaedter receives a license fee for EpiTrack from Eisai Co., Ltd. MI. Lossius report no conflict of interest but disclose lectures and expert panels for UCB, EISAI and Arvelle. LEH, KMAa, JL and AHS report no conflicts of interest.

Auteurs

Lisa E Hauger (LE)

National Centre for Epilepsy, Division for Clinical Neuroscience, Oslo University Hospital, Postbox 4959, Nydalen, Norway. Electronic address: haulis@ous-hf.no.

Morten I Lossius (MI)

National Centre for Epilepsy, Division for Clinical Neuroscience, Oslo University Hospital, Postbox 4959, Nydalen, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway. Electronic address: mortenl@ous-hf.no.

Kari M Aaberg (KM)

National Centre for Epilepsy, Division for Clinical Neuroscience, Oslo University Hospital, Postbox 4959, Nydalen, Norway. Electronic address: kaaabe@ous-hf.no.

Christoph Helmstaedter (C)

Department of Epileptology, University Hospital Bonn, Building 83, Venusberg - Campus 1, 53127, Bonn, Germany. Electronic address: christoph.helmstaedter@ukbonn.de.

Johanne Lossius (J)

National Centre for Epilepsy, Division for Clinical Neuroscience, Oslo University Hospital, Postbox 4959, Nydalen, Norway. Electronic address: johanne.lossius@gmail.com.

Annette H Skogan (AH)

National Centre for Epilepsy, Division for Clinical Neuroscience, Oslo University Hospital, Postbox 4959, Nydalen, Norway. Electronic address: uxskaw@ous-hf.no.

Classifications MeSH