Health-Related Quality of Life and Its Relationship to Neurological Outcome in Child Survivors of Stroke
Notice bibliographique
Résumé
BACKGROUND: Ischemic stroke during infancy and childhood has the potential to result in neurological impairments and affect a child's ability to function at home, school, and play. There are limited data on the effect of ischemic stroke on quality of life (QOL) of child survivors of ischemic stroke. OBJECTIVE: To examine parent and child perspectives on QOL and examine factors that correlate with reduced QOL for child survivors of stroke. METHODS: A prospective single-center cohort design was used. Participants included children 2-18 years of age surviving ischemic stroke. The Pediatric Quality of Life 4.0 Generic Inventory Scale (PedsQL) parent proxy-report (2-18 years of age) and child self-report (5-18 years of age) were completed by participants. Scores were compared with standardized normative data of healthy children and those with chronic medical conditions. Neurological deficits were measured with the Pediatric Stroke Outcome Measure, a standardized evaluation for children. The relationships between stroke type, neurological deficit, and health-related quality of life (HRQOL) were examined. RESULTS: We assessed the QOL in 84 children with arterial ischemic stroke and 16 with cerebral sinovenous thrombosis at a mean age of 8.4 (4.12) years; 4.4 (2.93) years after their stroke. Results showed that both the parent-proxy and child self-report HRQOL scores were significantly reduced (P>.01) compared with normative data of healthy children. Of greatest concern for both parents and children was the effect of stroke on school, followed by its impact on emotional and social functions. In contrast to other studies, scores in physical domain were better than those in the psychosocial domain. Multivariate analysis showed that of neurological deficits after stroke was a significant predictor of poor HRQOL (P>.05). The children with poor neurological recovery had the lowest mean PedsQL scores and their QOL was significantly poorer compared with normative data of children with chronic health conditions (ie, diabetes, cancer). CONCLUSION: The PedsQL appears to be a promising assessment tool of HRQOL for children following stroke. Both parent and child perspectives should be included because of the potential for there to be significant differences in perspectives. Although severity of neurological outcome is a significant predictor of reduced HRQOL, it accounted for a small proportion of variance in QOL scores. Further research is required to delineate other factors that are significant predictors of outcome.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 | 0,005 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».