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Enregistrement W2588104813 · doi:10.1182/blood.v116.21.4281.4281

Variability In Hb A2 levels among Individuals with Beta-Thalassemia Trait: Is Iron Deficiency Associated with Abnormally Low Hb A2?

2010· article· en· W2588104813 sur OpenAlexaff
Madeleine Verhovsek, Tim O’Shea, Geoff Gibney, Jason C. C. So, Edmond S.K., Li Chong Chan, Martin H. Steinberg, David H.K. Chui

Notice bibliographique

RevueBlood · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésHemoglobin A2Beta thalassemiaIron deficiencyFerritinHemoglobinMedicineThalassemiaInternal medicineSerum ironAlpha-thalassemiaAnemiaBiologyGeneticsGenotypeGene

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 4281 Introduction: Quantification of HbA2 is a well established screening test for beta-thalassemia trait (BTT). However, there is a small subset of individuals heterozygous for beta-thalassemia mutations who have HbA2 levels less than or equal to 3.5%. Some reports have suggested that iron deficiency in BTT patients causes HbA2 to be lower than expected, while others have found no significant relationship between iron deficiency and the level of HbA2. These conflicting reports have led to confusion amongst clinicians as to the reliability of HbA2 measurement when screening for BTT in iron deficient individuals. Methods: From a database of 444 individuals with heterozygous beta-thalassemia, confirmed by molecular testing, we assessed the variability in HbA2. Individuals were classified as “iron deficient” or “non-iron deficient” based on their serum ferritin, using two definitions of iron deficiency (serum ferritin <15 ug/L or <30 ug/L), and data was analyzed independently. The association of HbA2 levels with gender, iron deficiency or beta-thalassemia mutation type was evaluated using a two-sample T-test. The relationship of HbA2 with gender, hemoglobin level, Hb F percentage, reticulocyte percentage and/or the natural logarithm of serum ferritin was evaluated using single and multiple linear regression analysis. Results: HbA2 ranged from 2.0 to 8.1%, with a mean of 5.5%. Mean HbA2 in females (5.4%, SD 0.6%) was lower than that in males (5.6%, SD 0.6%) (p=0.003). Seven individuals had a HbA2 level below 3.5% (range 2.0–3.1%), all of whom had serum ferritin ≥15 ug/L. Of these people, five had the Chinese (Aγδβ)0-thalassemia deletion, and would thus be expected to have a normal HbA2 level; one woman had a HbA2 of 3.1% and was found to be heterozygous for a novel point mutation at codon 29 of the delta-globin gene (GGC>GAC or Gly29Asp); and another woman with HbA2 of 2.0% had unexplained elevation of Hb F (8.0%). The 30 patients with serum ferritin <15 ug/L had evidence of iron-deficient hematopoiesis (significantly lower hemoglobin concentration and MCV than patients with ferritin ≥ 15), and none had HbA2 <3.5%. However, HbA2 was lower (5.3%) versus HbA2 in non-iron deficient individuals (5.5%; p=0.04). Individuals with the Chinese (Aγδβ)0-thalassemia deletion had a mean Hb A2 of 2.8%. Of the remaining beta-thalassemia genotypes, IVSII-645 and Nt -29 beta+ mutations were associated with HbA2 values significantly below the group mean, and -28 beta+ and the Codon 17, Codons 41/42 and Codon 43 beta0 mutations were associated with significantly higher HbA2 values. Multiple linear-regression analysis demonstrated a significant association of low HbA2 with low ferritin (p=0.04) and beta+-thalassemia mutation type (p<0.001). There was no significant association with gender (p=0.1), hemoglobin (p=0.2), reticulocyte count (p=0.08) or hemoglobin F level (p=1.0). Conclusions: From our population of patients with BTT, we have shown that individuals with overt iron deficiency all had HbA2 within the range expected for an individual with BTT (Hb A2 >3.5%). Nonetheless, serum ferritin < 15 ug/L was associated with a small but significant decrease in HbA2 (mean HbA2 of 5.3%, versus 5.5% in non-iron deficient individuals; p=0.04). Although a multivariate analysis confirmed that ferritin under 15 ug/L was associated with lower HbA2 levels, beta+-thalassemia mutation type explained more of the variability than did iron status in individuals with lower HbA2 values. Six out of seven patients who had HbA2 <3.5% were found to have heterozygous deletion or mutation of the delta-globin gene. Based on the results of our study, HbA2 remains a reliable test for BTT screening, even in the presence of iron deficiency. In patients known or suspected to have BTT, but in whom HbA2 is found to be <3.5%, testing for delta-globin abnormalities should be pursued. Disclosures: No relevant conflicts of interest to declare.

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)0,002
score de la tête « metaresearch » (Gemma)0,005
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 seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,007
Tête enseignante GPT0,216
Écart entre enseignants0,209 · 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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