Provider practices and preparedness for gene therapy in pediatric sickle cell disease: A national survey of pediatric hematologists
Notice bibliographique
Résumé
Abstract Introduction: Sickle cell disease (SCD) is a severe, life-limiting genetic disorder affecting over 100,000 individuals in the U.S. While allogeneic hematopoietic stem cell transplantation from an HLA-matched donor remains the only established cure, most patients lack a suitable donor. In 2023, the FDA approved two autologous gene therapies for patients ≥12 years old with recurrent vaso-occlusive crises (VOCs): lovotibeglogene autotemcel (Bluebird Bio) and exagamglogene autotemcel (Vertex/CRISPR Therapeutics). Despite their promise, integration into routine care remains challenging due to strict trial criteria and limited implementation guidance. We sought to assess provider knowledge, referral patterns, and comfort discussing gene therapy (GT) to guide equitable adoption across pediatric SCD practices. Method: We distributed a 35-question REDCap survey to pediatric hematology providers in North America. Eligible participants were board-eligible/certified pediatric hematologists who care for individuals with SCD. The study was approved by the IRB of Baylor College of Medicine. This interim analysis includes responses collected from June 6 to July 24, 2025. Stratified analyses based on provider practice type, clinical experience, and SCD center volume were conducted using two-sided t-tests. Results: In addition to posting the survey link on the American Society of Pediatric Hematology and Oncology (ASPHO) Hemoglobinopathy Special Interest Group discussion board and ASPHO Clinical Forum, we distributed email invitations to approximately 500 pediatric hematology/oncology providers identified through pediatric hematology directories. A total of 102 providers who met inclusion criteria completed the survey, yielding a response rate of ~20%. We captured a representative sample of pediatric hematologists caring for individuals with SCD and pediatric SCD centers across the United States and Canada. Practice types included general hematology/oncology (38.3%), SCD-focused (47.1%), and HSCT-focused (14.7%). Clinical experience ranged from <10 years (31.4%) to >20 years (29.4%). Practice sizes ranged from centers caring for <100 (22.5%), 100–400 (36.3%), and >400 (41.2%) individuals with SCD. Most providers (91.6%) reported they would likely discuss GT with patients lacking a matched donor who either had recurrent VOCs or expressed interest. However, only 40% were likely to discuss GT in the absence of VOCs. Stratification revealed that SCD-focused providers were significantly less likely than generalists to recommend GT for patients with prior SCD related neurological complications including: prior stroke (44.8% vs. 69.2%, p=0.028); CNS vasculopathy (39.6% vs. 69.2%, p=0.005); abnormal TCD (60.4% vs. 74.4%, p=0.1). Comfort with gene therapy-related discussions also varied significantly. SCD focused hematologists reported significantly greater comfort with GT counseling including: initiating conversations (100% vs. 76.9%, p=0.002); differentiating products (97.9% vs. 30.8%, p<0.001); discussing risks/benefits (97.9% vs. 51.3%, p<0.001). Physicians were also asked whether, based on currently available information, they would be inclined to recommend one gene therapy product over another when referring patients. Among respondents, 26.7% of HSCT-focused providers indicated they would make such a recommendation, compared to 12.5% of SCD-focused providers and 7.7% of general hematology/oncology providers. Notably, all who expressed a preference favored exagamglogene autotemcel over lovotibeglogene autotemcel, citing concerns about insertional mutagenesis and secondary malignancies, a preference for gene-editing approaches, and considerations related to cost. Conclusions: This national survey highlights substantial variability in gene therapy referral practices for pediatric sickle cell disease, particularly in cases involving neurologic complications and across different provider types. While hematologists with a SCD-focused practice reported greater comfort with GT counseling, they were less likely to recommend GT in certain high-risk scenarios. These findings emphasize the urgent need for standardized, evidence-based guidelines and targeted provider education to ensure equitable access and appropriate integration of GT into pediatric SCD care.
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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 | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».