Severity of Ongoing Post-Concussive Symptoms as a Predictor of Cognitive Performance Following a Pediatric Mild Traumatic Brain Injury.
Adolescent
Brain concussion
Child
Executive function
Learning
Neuropsychological tests
Journal
Journal of the International Neuropsychological Society : JINS
ISSN: 1469-7661
Titre abrégé: J Int Neuropsychol Soc
Pays: England
ID NLM: 9503760
Informations de publication
Date de publication:
08 2021
08 2021
Historique:
pubmed:
28
11
2020
medline:
29
10
2021
entrez:
27
11
2020
Statut:
ppublish
Résumé
This study aimed to examine the predictors of cognitive performance in patients with pediatric mild traumatic brain injury (pmTBI) and to determine whether group differences in cognitive performance on a computerized test battery could be observed between pmTBI patients and healthy controls (HC) in the sub-acute (SA) and the early chronic (EC) phases of injury. 203 pmTBI patients recruited from emergency settings and 159 age- and sex-matched HC aged 8-18 rated their ongoing post-concussive symptoms (PCS) on the Post-Concussion Symptom Inventory and completed the Cogstate brief battery in the SA (1-11 days) phase of injury. A subset (156 pmTBI patients; 144 HC) completed testing in the EC (~4 months) phase. Within the SA phase, a group difference was only observed for the visual learning task (One-Card Learning), with pmTBI patients being less accurate relative to HC. Follow-up analyses indicated higher ongoing PCS and higher 5P clinical risk scores were significant predictors of lower One-Card Learning accuracy within SA phase, while premorbid variables (estimates of intellectual functioning, parental education, and presence of learning disabilities or attention-deficit/hyperactivity disorder) were not. The absence of group differences at EC phase is supportive of cognitive recovery by 4 months post-injury. While the severity of ongoing PCS and the 5P score were better overall predictors of cognitive performance on the Cogstate at SA relative to premorbid variables, the full regression model explained only 4.1% of the variance, highlighting the need for future work on predictors of cognitive outcomes.
Identifiants
pubmed: 33243310
pii: S1355617720001228
doi: 10.1017/S1355617720001228
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
686-696Subventions
Organisme : NIGMS NIH HHS
ID : P20 GM109089
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS098494
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS098494
Pays : United States