Symptoms of Attention-Deficit/Hyperactivity Disorder Following Traumatic Brain Injury in Children
Notice bibliographique
Résumé
METHODS: We investigated changes in inattentive and hyperactive symptoms over 2 years following traumatic brain injury (TBI) in relation to preinjury attention-deficit/hyperactivity disorder (ADHD), injury, and socioeconomic status (SES) variables. Postinjury stimulant medication treatment was also documented. Of 175 consecutive patients of ages 5 to 15 years with acute TBI, 148 consented, including 114 without preinjury ADHD (mean age, 10.0 years, SD = 2.76) and 34 with preinjury ADHD (mean age 10.36 years, SD = 2.75). The Schedule for Affective Disorders and Schizophrenia for School-Age Children, Present and Lifetime Version, was administered at baseline and at 6, 12, and 24 months post-injury to assess the presence of nine core inattentive and nine hyperactive symptoms and associated impairment. The baseline assessment was performed within 1 month post-injury to establish preinjury diagnosis. RESULTS: Nonlinear change in inattentive symptoms in patients without preinjury ADHD contrasted with higher and more stable symptom levels in children with preinjury diagnosis, including the cubic trend (chi2(1) = 6.23, p = .0126). There was also a significant interaction of group x gender effect (chi2(1) = 4.08, p = .0435) as males had higher numbers of inattentive symptoms than females in the preinjury ADHD group. Change in hyperactive symptoms over time also differed by group, including both linear (chi2(1) = 5.42, p = .0199) and cubic trends (chi2(1) = 8.91, p = .0029), reflecting greater and more frequent fluctuations in children without preinjury ADHD. Socioeconomic level also contributed to change in hyperactive symptoms as reflected by the interaction of SES and linear time (chi2(1) = 6.91, p = .009), as well as quadratic time (chi2(1) = 4.90, p = .027). Occurrence of ADHD diagnosed post-injury ranged from 14.5% (12 months) to 18.3% (24 months) in the group without preinjury ADHD compared with a range from 86.4% (12 months) to 96.2% (6 months) in children with preinjury ADHD. In children without preinjury ADHD, SES was the only patient variable that predicted onset of ADHD, t(110) = -2.85, p = .0052. Treatment with stimulant medication post-injury was more frequently associated with preinjury ADHD (39% vs 7% of children without preinjury ADHD), p< .0001 (Fisher exact test). Children with preinjury ADHD who were treated pre-injury with stimulant medication had fewer total symptoms at 24 months post-injury relative to untreated patients with preinjury ADHD (F[1,14] = 3.93, p = 0.069, Cohen's d = 1.28). CONCLUSION: Change in ADHD symptoms after TBI varies with preinjury diagnosis, reflects injury severity in children without preinjury ADHD, and is treated with stimulant medication mainly in those patients with preinjury ADHD.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».