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Enregistrement W4417009529 · doi:10.1182/blood-2025-4685

Congenital dyserythropoietic anemia type I: Updated report from the congenital dyserythropoietic anemia registry of North America

2025· article· en· W4417009529 sur OpenAlexaff
Lubna Hamdan, Yasmin Elgammal, Ammar Husami, Jessica Meznarich, Francisca Fasipe, Satheesh Chonat, Morgan L. McLemore, J. L. Schwartz, Sarah Sahib, Timothy L. McCavit, Karol Kerr, Jane Chawla, Joshua Goldman, Amy E. Geddis, David W. Miller, Aniket Saha, Jorge Ruiz Lopez, Sioḃán Keel, Josée Brossard, Kathleen Overholt, Tiffany L. Lucas, Amy Shova, Carolyn Lutzko, Wenying Zhang, Robert B. Lorsbach, Omar Niss, Theodosia A. Kalfa

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueErythrocyte Function and Pathophysiology
Établissements canadiensChildren’s Health Research InstituteHôpital Fleurimont
Organismes subventionnairesnon disponible
Mots-clésIneffective erythropoiesisAnemiaJaundiceBlood transfusionNatural historyDeferasiroxThalassemia

Résumé

récupéré en direct d'OpenAlex

Abstract Background Congenital dyserythropoietic anemias (CDA) are rare genetic disorders characterized by ineffective erythropoiesis and iron overload. The CDA Registry (CDAR) of North America aims to study the natural history and molecular pathogenesis of CDA. CDA-I is caused by biallelic variants in CDAN1 or CDIN1. Pegylated Interferon-α (PEG-IFN-α) is a promising treatment for CDA-I. Methods Patients with phenotypic or genetic diagnosis of CDA were enrolled with informed consent. Genetic work-up was offered, if not previously done. Clinical data were collected from patients and treating physicians. This study provides an update on the clinical courses of patients with CDA-I in CDAR. Results Nineteen CDAR participants have been diagnosed with CDA-I (median age 11.4; range 0.75 to 35 yrs). The median age at diagnosis was 4.9 yrs (range: 0–27), including one prenatal diagnosis in a sibling of a known patient. Most patients presented at birth with neonatal anemia and jaundice requiring transfusions and phototherapy. Thirteen patients required transfusions in the neonatal period, 2 required intrauterine transfusions, 2 started transfusions between the ages of 5-6 months, and 2 never received a transfusion. One patient with transfusion-dependent anemia and intolerance to IFN-α and iron chelation died at age 23 yrs. Their course was complicated by other comorbidities including gastroparesis and malabsorption, requiring gastro-jejunal feeding. Thirteen patients (72%) are not currently receiving transfusions. Among these, 5 have been treated with PEG-IFN-α. Two achieved transfusion independence within one month of starting PEG-IFN-α and remain on weekly dosage with normalized hemoglobin (Hb) values and well-controlled liver iron content (LIC at 1.4, 1.7 mg/g) without chelation (previous peaks: 4.6, 10.1 mg/g). The first of these two patients was started on 80 mcg weekly at the age of 6 yrs, her dose was decreased after 4 yrs to 60 mcg weekly, since Hb was stable at ~12 g/dL. The second was started on a small dose of 18 mcg weekly at the age of 11 yrs and had a great response with Hb rising from 7-7.5 g/dL to >12 g/dL within 2 months. He remained stable on the same dose for 4 yrs, and the dose was increased recently to 28 mcg based on a downtrend in Hb along with the patient growing and gaining weight. One 11-yr-old patient maintained a Hb ~ 9 off transfusions since the age of ~ 6 months, was started on 90 mcg weekly with an improvement in Hb to 14 after 4 months on PEG-IFN-α. One patient with baseline Hb of 7 g/dL without transfusions, started PEG-IFN-α recently and continues dose titration. This patient has iron overload requiring chelation disproportionate to their history of transfusions, due to ineffective erythropoiesis. One patient became transfusion-independent after receiving PEG-IFN-α between ages 1-3 yrs and remains so at age 12 yrs. Of the remaining 8 patients, 6 had their anemia spontaneously improve between the ages of 3-13 months. One requires chelation due to iron overload although they are off transfusions since infancy (peak LIC: 6.5 mg/g). Five patients (28%) remain transfusion-dependent, a 3-yr, 5-yr, and 7-yr-old, and two adults (25 and 35 yrs) due to medication access, family or personal preferences; all five are treated with iron chelators. Of note, the 35-yr-old was initially misdiagnosed with hereditary spherocytosis and underwent splenectomy at 11 yrs of age. He was lost to follow up and represented in adulthood with hemolytic anemia and pulmonary hypertension. He has been on transfusions since then, achieving resolution of severe iron overload after approximately 6 yrs on two iron chelators. Conclusion Genetic testing is essential for accurate and timely CDA-I diagnosis. The natural history of CDA-I is variable. While 50% of patients experienced spontaneous anemia improvement, others rely on transfusions, or treatment with PEG-IFN-α. Most patients treated with PEG-IFN-α achieved transfusion independence and maintained stable LIC without chelation, although the time and dose needed vary. Iron overload is a common complication and can develop spontaneously independent of blood transfusions. IFN-α treatment has improved iron overload in two of the patients without concurrent use of iron chelation, likely by improving ineffective erythropoiesis and iron utilization. Further research is needed to understand its mechanism of action and address barriers to treatment initiation and optimization.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,162
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
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 Opus0,011
Tête enseignante GPT0,255
Écart entre enseignants0,243 · 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 tête enseignante, pas un consensus.

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

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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