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Enregistrement W4417015928 · doi:10.1182/blood-2025-6162

Current clinical concerns for patients with hereditary hemochromatosis – a Delphi consensus study

2025· article· en· W4417015928 sur OpenAlexaboutno aff
Jeremy Shearman, Domenico Girelli, Dominik J. Schaer, Sant‐Rayn Pasricha, Kris V. Kowdley, John K. Olynyk, Gregory J. Kato, Sonya Abraham, Charlotte Pollet, Uta Merle

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueIron Metabolism and Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPhlebotomyHereditary hemochromatosisHemochromatosisHepcidinDelphi methodTransferrin saturationBiobank

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction Hereditary hemochromatosis (HH) is caused by hepcidin dysregulation and is characterized by excessive iron accumulation in the liver, heart, and endocrine glands, leading to complications such as fatigue, joint pain, cirrhosis, hepatocellular carcinoma (HCC), and cardiac failure (Allen et al. 2008; Girelli et al. 2022). Standard-of-care treatment comprises phlebotomies (therapeutic venesection) and, less frequently, iron chelators. However, these treatments may have side effects, and impact quality of life, making them unsuitable for some patients (Pericleous et al. 2017; Brissot et al. 2010; EASL guidelines 2022). One study reported that only 33.1–43.2% of patients tolerate and adhere to regular phlebotomies, with these proportions decreasing over time (Hicken et al. 2003). Methods A Delphi consensus methodology following ACCORD, DELPHISTAR, and CREDES guidelines was used to gather professional perspectives on the prevalence of intolerance/refractoriness to phlebotomy in the HH population, define the patient subgroup overly burdened by phlebotomy, define phlebotomy success, limitations, and inappropriate response to front-line therapy, identify unmet needs in current therapy, and develop consensus recommendations for the management of HH, including intolerance and insufficient/suboptimal response. The survey was virtual and was sent in 3 rounds via SurveyMonkey. Results Thirty-two HH experts from Austria, Australia, Belgium, Canada, France, Germany, Italy, Norway, Spain, UK, and USA responded to the survey. Respondents agreed that lack of alternative therapies to phlebotomy (96.9% of respondents), symptoms that fail to resolve with current therapies (78.1%), and insufficient understanding of how transferrin saturation and non-transferrin-bound iron affect patient outcomes (100%) are the main unmet needs in HH. All respondents agreed that some patients experience a high phlebotomy treatment burden during induction, mostly due to session frequency (93.8%), severity of treatment-related adverse events (71.9%; mainly fatigue [96.9%] and arthralgia [84.4%]), and impact on daily activities (81.3%). Frequency and duration of phlebotomy treatment during induction were identified as significant limitations by 75.0% of respondents. Venipuncture site issues were anticipated as long-term complications from repeated phlebotomies by 80.0% of respondents. In the maintenance phase, 6 phlebotomies/year were considered the minimum number of sessions constituting high burden. Most (93.8%) respondents agreed that a failure to achieve treatment target despite a course of therapeutic phlebotomy should be defined as insufficient/suboptimal response. Overall, 90.6% of respondents agreed with the notion of intolerance to phlebotomy as the patient's inability to tolerate phlebotomy treatment due to adverse effects, comorbidities, or exacerbation of existing medical conditions. Most (81.3%) concurred that venous access, unpleasant reactions, and needle aversion are common reasons patients feel ‘unable to continue’ phlebotomy therapy. Patient-reported outcomes were considered of highest importance when assessing the impact of phlebotomy on a patient's life by 87.5% of respondents, who also agreed that this impact is not often measured. For optimal patient outcomes, respondents concurred that regular monitoring in the maintenance phase should include ferritin serum levels (96.7%), joint assessment (75.0%) every ≥12 months (88.0%), HCC surveillance in presence of advanced liver disease (100%) every 6 months (78.1%), liver function tests (72.9%), diabetes (71.9%), and, in selected patients, magnetic resonance liver iron concentration (96.9%). Additional monitoring of transferrin saturation was also considered appropriate in clinical practice (81.3%). Respondents (87.5%) agreed that hepcidin-ferroportin-targeted therapies +/- phlebotomy are the most promising HH treatment options and that patients experiencing high phlebotomy burden should be offered a second-line or alternative therapy. Conclusion The Delphi consensus survey identified several unmet needs in managing patients with HH, particularly the significant limitations of phlebotomy treatment, with respondents identifying a high unmet need for patients who cannot be managed with or do not tolerate this approach. It recommended routine assessments and suggested exploring alternative therapy options for patients who experience a high treatment burden or intolerance to phlebotomy.

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)0,071
score de la tête « metaresearch » (Gemma)0,083
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,071
Score d'incertitude au seuil0,378

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0710,083
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0030,002
Études des sciences et des technologies0,0020,002
Communication savante0,0020,002
Science ouverte0,0010,006
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,027
Tête enseignante GPT0,349
Écart entre enseignants0,321 · 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'étudeQualitatif
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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