Factors predicting development of chronic disease in Nordic children with acute onset of idiopathic thrombocytopenic purpura
Notice bibliographique
Résumé
Bruin et al (2004) performed a prospective study of 60 Dutch children with typical acute idiopathic thrombocytopenic purpura (ITP), i.e. with onset of symptoms less than 14 d before presentation. They reported that chronic disease developed in 16 (27%) of the children and could be predicted by absence of previous infection, higher platelet count, and presence of the FCGR2B-232I/T genotype. In addition, they found that treatment with intravenous immunoglobulin (IVIG) reduced the risk of chronic disease (only one of 17 treated children), independently of the platelet count. The authors suggest that IVIG may prevent development of chronic disease by promoting expression of the Fc-gamma receptor IIb, the I/I isoform effectively signalling elimination of B-cells that produce autoantibodies. A possible protective effect of IVIG is of great clinical importance. The findings suggest that it might be beneficial to treat children with acute-onset ITP with IVIG, especially if the platelet count is relatively high and no preceding infection is reported. The findings, however, are not supported by previous studies: the frequency of chronic disease was not reduced in the IVIG arm in a Canadian randomised trial (Blanchette et al, 1993) or among treated children in the Intercontinental cohort (Kühne et al, 2001). We investigated whether the Dutch findings could be replicated in data from the prospective Nordic study of 506 children with newly diagnosed ITP (Rosthøj et al, 2003). In this study, there were 327 children with acute-onset ITP and with information on duration of disease. Fifty-four (17%) developed chronic disease. As in the Dutch study, the platelet count at diagnosis was significantly associated with outcome: the risk of chronic disease was 10·5% in children with counts below 5 × 109/l compared with 19·9% in children with higher counts [odds ratio (OR) 2·12, 95% confidence interval (CI) 1·05–4·31]. A previous infection, however, did not indicate a lower risk (OR 0·95, 95% CI 0·51–1·78), and neither age, gender or severity of bleeding were found to be predictive. Of the 327 children, 183 received treatment with IVIG within 14 d of diagnosis; some (n = 35) were also given corticosteroids. Twenty-eight (15%) of these children developed chronic disease, a slight but not statistically significant reduction in risk compared with untreated children (19%) (OR 1·27, 95% CI 0·71–2·27). The interaction between platelet count, IVIG therapy and outcome is shown in Table I. The treatment rate clearly depended on the platelet count, rising to 73% in children with a platelet count below 5 × 109/l. There were no significant differences in development of chronic disease when comparing treated and untreated children in any of the different platelet count strata. Thus, the slightly reduced frequency of chronic course after IVIG therapy must be ascribed to a higher fraction of children with very low platelet count rather than a protective effect. Children with insidious onset of disease, i.e. with symptoms for more than 14 d at presentation, are more likely to develop chronic disease than children with acute onset of symptoms (Zeller et al, 2005). We have no evidence to suggest that IVIG is protective in this group, either. Of 96 children with insidious onset, 44 were treated with IVIG: 25 (57%) developed chronic disease, compared with 21 (51%) of 41 untreated children. In summary, our data do not support the hypothesis that IVIG protects against chronic disease. The Dutch patient series (Bruin et al, 2004) was small, with only 17 children treated with IVIG, and the high percentage of children with chronic disease suggests that selection bias may have been at work. This may explain the divergence of findings from the much larger Intercontinental study (Kühne et al, 2001) and from the population-based Nordic cohort (Rosthøj et al, 2003). The observations are interesting, but in our opinion the evidence that treatment with IVIG may prevent chronic disease is limited.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 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 ».