Outcome Measures in Childhood Idiopathic Thrombocytopenic Purpura: Relationship of Bleeding Severity, Quality of Life, and Platelet Count.
Notice bibliographique
Résumé
Abstract Idiopathic thrombocytopenic purpura (ITP) is one of the most common disorders requiring the attention of a pediatric hematologist. The most feared outcome of ITP is intracranial hemorrhage (ICH), which fortunately is a rare occurrence in children. Although a rise in platelet count and presumed reduction in risk of ICH are stated therapeutic aims, it is equally important to identify and understand additional outcome measures which are subject to change in this population. These include health-related quality of life (QoL), treatment side effects, cost, and bleeding severity. A QoL questionnaire for pediatric acute and chronic ITP has recently been developed and validated. During the validation study (Pediatr Blood Cancer, 46:692, 2006), grading of hemorrhage and platelet count were also assessed. This report describes the results of a secondary data analysis using the validation study database. Our purpose was to assess the relationship between bleeding severity and QoL, previously not reported. Ninety children (mean age 9.7 yrs.) with ITP (41 acute, 49 chronic) were prospectively enrolled at six North American centers. Platelet count and bleeding severity were measured at baseline. Bleeding severity was assessed using a modification of a previously published grading instrument (J Pediatr, 141:683–8, 2002) where each patient was assigned a grade of 0 (no bleeding) to 5 (life-threatening bleeding) based on the overall amount of hemorrhage in the previous twenty-four hours. QoL scores were obtained by proxy-report by parents on behalf of their child and self-report by children age seven and older. Parents also reported their own QoL. Using a two- tailed Pearson correlation, the bleeding severity grade was weakly correlated with the platelet count in the children with chronic ITP (r= 0.20, p<0.001), but this relationship did not reach significance for children with acute ITP (r= 0.07, p= 0.09). The severity of bleeding did not correlate with the child’s self-reported QoL in either acute (r= 0.005) or chronic ITP (r=0.03). Parents’ self-assessed QoL did not reflect bleeding severity when their children had either acute (r= 0.03) or chronic ITP (r= 0.006). The parents’ perception of the child’s QoL using a proxy score was also poorly correlated with bleeding severity in acute (r= 0.02) and chronic ITP (r= 0.01). In summary, the bleeding severity score did not correlate with the QoL experienced by either the patient or the family in any setting. These results indicate that many factors in addition to bleeding signs may impact the children and parents, such as anxiety about the disease, length of hospital stay, frequency of visits to the physicians’ office, and medication side effects. These findings suggest that the inclusion of multiple outcome measures enhances the scope of our knowledge and should be used in clinical care and research study design in order to understand the full spectrum of disease impact.
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 | 0,003 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| 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 ».