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Enregistrement W2578880538 · doi:10.1182/blood.v116.21.5147.5147

Rates of Non-Transfusional Iron Accumulation (NTIA) In Hemoglobin E Thalassemia

2010· article· en· W2578880538 sur OpenAlexaff
Nancy F. Olivieri, Vivekanandan Thayalasuthan, Giulia M. Muraca, D. J. Weatherall, Cecilia Kim, Anuja Premawardhena, Ashok Perera, A. O’Donnell, Timothy G. St. Pierre

Notice bibliographique

RevueBlood · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensToronto General HospitalUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésThalassemiaHemoglobinInternal medicineGastroenterologySerum ferritinMedicineBlood transfusionFerritinAnemiaSurgeryChemistry

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 5147 In patients with Hemoglobin (Hb) E thalassemia, the most common form of severe thalassemia worldwide (Weatherall DJ. Blood 2010;4331-6), early reports suggest that this disorder is associated with variable iron loading in the absence of frequent transfusions (Olivieri NF et al. Int J Ped Hem Onc 2000; 22:593-7), possibly related to the phenotypic variability of the disorder. At the National Thalassaemia Centre, Kurunegala, Sri Lanka, we have studied two groups of patients with Hb E thalassemia using spin density projection assisted R2-MRI (R2-MRI; FerriScan) (St Pierre TG et al. Blood 2005; 105:855-61). Group 1 (n=23) had received ≤ 20 transfusions (median = 9) lifelong, despite a relatively advanced age (mean ± SD, 27.5 ± 16.2 [range 7.8–57.4] years). Group 2 (n=47) had received > 20 transfusions lifelong. In Group 1, liver iron concentration (LIC) was strikingly variable (geometric mean 5.6 [range 1.0–33.0] mg Fe/g dw). LIC exceeded 7 mg Fe/g dw in 11 patients and 15 mg Fe/g dw in 4 patients. Values of serum ferritin (SF) (mean ± SD, 827 ± 611 [range 254–2484] ug/L) and serum ALT (37.6 ± 19.7 [range 12–86] U/L) did not reliably reflect the degree of elevation in LIC (R2 = 0.38, P = 0.0017 for SF; R2 = 0.12, P = 0.10 for ALT). These elevations of body iron burden were associated with evidence of organ dysfunction, with abnormal ALT (observed in 11 patients), hypothyroidism (6 patients), final adult height <3rd percentile (2 patients), and no evidence of glucose intolerance. In 15 of the 23 Group 1 patients, LIC had been determined in a previous biopsy, and 9 of these 15 patients had received <1 transfusion/year since that biopsy. None of these 9 patients had significant deferoxamine (DFO) exposure between biopsy and R2-MRI. Hence, rates of non-transfusional iron accumulation (NTIA) could be estimated (over a period of 8.4 ± 2.6 [range 2.6–11.4] years between biopsy and R2-MRI). NTIA in these 9 patients was 0.40 ± 0.39 [range -0.10 to 0.96] mg Fe/g dw liver per year. In the 47 Group 2 patients, regular transfusions had been administered for years and subsequently withdrawn, as described previously (Premawardhena A et al. Lancet 2005;366:1467-70). In 37 of these 47 patients, LIC had been determined by biopsy following the period of regular transfusions. Of these 37 patients, 25 patients had had <1 transfusion/year since biopsy. Of these 25 patients, 9 had had no significant DFO exposure between biopsy and R2-MRI, and the rate of NTIA could therefore be estimated between these two LIC measurements (over a period of 9.1 ± 1.4 [range 7.3–11.8] years). NTIA in these 9 patients was 0.12 ± 0.21 [range -0.15 to 0.41] mg Fe/g dw liver per year. The other 16 of the 25 patients had had significant DFO exposure between biopsy and R2-MRI. Of the 18 patients (9 in Group 1 and 9 in Group 2) for whom rates of NTIA could be estimated, the mean age was 32.0 ± 13.6 [range 14.0–60.3] years. Time between LIC assessments was 8.8 ± 2.1 [2.6-11.9] years. Initial and final LIC were 4.6 ± 1.9 [1.8-8.3] mg Fe/g dw liver, and 6.7 ± 3.4 [0.7-12.7] mg Fe/g dw liver, respectively. Mean NTIA (Figure; see A) was 0.26 ± 0.33 [-0.15 to +0.96] mg Fe/g dw per year. Rates of change of LIC in patients receiving < 1 transfusion per year (A) with no significant exposure to DFO; and (B) with significant exposure to DFO. In the 16 patients in Group 2 who had received < 1 transfusion per year and significant DFO exposure between LIC measurements, the rate of NTIA was -0.34 ± 0.66 [range -1.70 to +1.02] mg Fe/g dw liver per year (Figure; see B). These data suggest variable rates of NTIA in Hb E thalassemia, with evidence in some patients of rates up to approximately 1 mg Fe/g dw liver per year. This rate of NTIA may be associated with risk of organ dysfunction in the second decade of life. The data also suggest that DFO, administered in low doses and over short periods relative to those used in thalassemia major, may be effective in reducing body iron in Hb E thalassemia. The etiology of the observed variation in NTIA in these patients is being explored. Although hereditary hemochromatosis in Asia was believed to be rare and may often be masked by iron deficiency, recent studies (Lok CY et al. Blood 2009; 114:20-5) suggest that primary iron overload is not as rare in the Indian subcontinent and Southeast Asia as believed previously. Genetic studies, in parallel with evaluation of body iron burden, using techniques with known accuracy and precision, may elucidate the origins of the variable NTIA observed in patients with Hb E thalassemia. Disclosures: St. Pierre: Resonance Health Ltd: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis Pharmaceuticals Inc: Consultancy, Research Funding, Speakers Bureau.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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.

Tête enseignante Opus0,011
Tête enseignante GPT0,289
Écart entre enseignants0,278 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2010
Routes d'admission1
Résumé présentoui

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