Quantification by Magnetic Resonance Imaging (MRI) and Consequences of Post-Transfusionnal Iron Overload in Long Bone Marrow Transplant Survivors.
Notice bibliographique
Résumé
Abstract Introduction The exact biological and clinical complications related to iron overload in adult non thallassemic patients receiving blood units (BU) are not well known. This is mainly due to the many confounding factors both in the evaluation of iron overload (mainly estimated by ferritin measurement) and its consequences on liver dysfunction (hepatitis, GVH) and cardiac or pancreatic function (toxicity, ageing). Patients and Methods We prospectively evaluated biological (glycemia, liver function) and clinical (cardiomyopathy, arythmia) consequences of post-transfusionnal iron overload, as sole risk factors, in a very closely selected population of long term BM transplant survivors. We quantified liver iron content (LIC) by MRI and studied the relationship between the number of BU, LIC and liver dysfunction. Exclusion criteria were extremely strict: transplant performed after 1999, any form of GVH, hepatitis B or C, alcoholism (CAGE Questionnaire), any presence of hepatotoxic drug, requirement of BU after the one year period following transplant, inflammation, neoplastic diseases or relapse, homozygous for HFE mutation. Results 104/150 adult patients transplanted before December 1999 were enrolled. 39/104 were excluded: GVH n=11, viral hepatitis n=3, alcoholism n=1, hepatotoxic drug n=4, active bleeding n=2, neoplastic disease or relapse n=11, chronic inflammation n=7. 65 patients were analyzed (34M,31F). Median age at transplant was 36. Median follow up was 9 years. The median number of BU received was 18 (0–77) (definitive evaluation in 60/65 patients). The median ferritin was 532 ng/ml (42–4023). 27/65 pts had AST and or ALT above normal value. Hyperlycemia was present in 11 cases. There was a significant correlation between the number of BU and the ferritin value (r= 0.81) (p<10–3) as well as between the number of BU and LIC (r=0.84)(p<10–3).38/65 patients had ferritin above normal value; among them, 31/32 cases had LIC above normal value, median 117 micromoles/gdw (30->300). The group with ferritin above normal value (n=38) differed significantly from the group with ferritin of normal range in terms of number of BU transfused (p<10 −3), level of AST(p<0.017) and ALT (p<0.009). However, the risk of occurrence of liver dysfunction (AST or ALT above normal) was slightly different between the normal ferritin (8/27) and high ferritin (19/38) groups (chi 2 non-significant). In addition, in the group having received more than 20 BU (n=24) compared to the group having received less than 20 BU (n=36), there was no significant difference in the risk of occurrence of liver dysfunction but there was a significant difference between these two groups in terms of ferritin (p<10–3)(t-test) and LIC results (p=0.013)(t-test). There was no significant difference regarding glycemia. No patients had clinical cardiac disease or were arythmic. Conclusion The magnitude of persistent iron overload in long BM transplant survivors correlates closely to the number of BU received and is well quantified by MRI. In this group having no cofactor of iron toxicity, our results suggest that the impact in the medium term of post transfusionnal iron overload on liver dysfunction, diabetes mellitus and cardiac disease is moderate.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».