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Enregistrement W4310163385 · doi:10.1182/blood-2022-168328

Red Cell Exchange with a Targeted Ht of 34% in Sickle Cell Disease: A Cohort Study from CHUM

2022· article· en· W4310163385 sur OpenAlexaffabout
Jules Mercier‐Ross, Anne‐Sophie Lemay, Stéphanie Forté, Benjamin Rioux‐Massé, Nicolas Mercure-Corriveau, Denis Soulières

Notice bibliographique

RevueBlood · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensUniversité de Montréal
Organismes subventionnairesnon disponible
Mots-clésMedicineHematocritCohortRetrospective cohort studyBlood transfusionAnemiaHemoglobinTransfusion therapyRed blood cellRed CellInternal medicinePediatrics

Résumé

récupéré en direct d'OpenAlex

Background: Approximately 10% of patients with sickle cell disease (SCD) rely on chronic transfusion therapy as part of their management, yet the optimal strategy for regular transfusion programs is not well defined (1). The 2020 ASH guidelines on SCD suggest red cell exchange (RCE) over simple transfusions in patients receiving chronic transfusions, as the latter approach leads to iron overload and risks for end-organ damage, while the former can achieve neutral iron balance (2). Facing a severe blood shortage during the Covid-19 pandemic, caregivers were forced to adopt different blood-saving strategies for SCD patients. Raising the post transfusion targeted hematocrit (Ht) with RCE was suggested as a measure to suppress endogenous erythropoiesis and reduce blood product requirements, and was proven to be effective in a recent single cohort study (3). The investigators proposed it as a temporary measure as red cell mass balance assessments raised some concerns for iron overload. Herein, we report the experience of Centre Hospitalier de l'Université de Montréal (CHUM) with a cohort of patients who have been enrolled in such long-term transfusion strategy. Methods: In this retrospective study conducted at CHUM, all consecutive adult SCD patients were included if they were treated with a chronic RCE program (at least 6 months) between 2019 and 2021 at our institution. The RCE targets were established as follows: post transfusion Ht of 34% regardless of baseline Ht with a remaining fraction of red blood cells of 30%, post transfusion HbS < 30% during the first 2 years and HbS < 50% during the subsequent years for HbSS patients and HbS + HbC < 60% for HbSC patients. Adjustments in RCE frequency were made to achieve HbS/HbC targets. Indications and time between transfusions were collected. The cohort was divided according to post transfusion Ht strategy: increased Ht (IH) vs same Ht (SH). Correlations were made with transfusion requirements and iron status-related outcomes including ferritin balance, prescription of liver MRI and need for chelation. Results: A total of 101 patients were analyzed: 65% HbSS, 27% HbSC and 8% HbS/b+disease. The most common indications for chronic transfusions were progressive cerebral microangiopathy without overt stroke (46%) and recurrent vaso-occlusive crises/acute chest syndromes (30%), and 48% had more than one indication. The median RCE interval was 6.9 weeks [4-10]. Fifty percent of patients had their post transfusion hematocrit increased (IH strategy) compared to 43% with a neutral Ht balance (SH strategy). HbSS patients represented 94% of the IH cohort, with a mean post transfusion Ht increment of 6% [3-11]. HbSC patients (49%) and HbSS (37%) composed a majority of the SH cohort. The IH cohort required less red cell units (RCU) per year compared to the SH cohort (65 vs 80 RCU per year on average, p=0.0004). This finding remained consistent when correcting for patient weight and baseline hematocrit using red cell volume estimation (RCV), with a lower transfused red cell volume per year in the IH cohort (6.8 vs 8.1 approximated RCV per year, p=0.01). There was also a trend for longer time between RCE procedures in the IH cohort (50 vs 47 days, p=0.08). A significantly higher number of patients in the IH group reached a ferritin value > 1000 ng/mL (65% vs 5%, p<0.001) and 51% of IH vs 0% of SH patients were started on iron chelation therapy (p<0.001). Median time to chelation initiation was 19.1 months [5.5-33.2 months]. Conclusion: In our center, with a fixed post transfusion hematocrit of 34%, raising hematocrit > 2% above pre transfusion level resulted in iron overload in 65% of patients and prescription of chelation in half of patients. Our results suggest that hematocrit balance before and after RCE can be used to predict net iron balance in patients on chronic transfusion therapy. This strategy should be formally compared with an isoHt strategy in patients with a comparable baseline hematocrit to assess iron overload, annual blood product requirements, resource utilization and patient quality of life. References 1.Kelly S, et al.,Transfusion. 2020;60(11):2508-16. 2.Chou ST et al., Blood Advances. 2020;4(2):327-55. 3.Uter S et al., Blood Advances. 2021;5(12):2586-92.

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)0,001
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 enseignants0,038
Score d'incertitude au seuil0,076

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,001
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
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 Opus0,005
Tête enseignante GPT0,198
Écart entre enseignants0,193 · 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

Citations0
Publié2022
Routes d'admission2
Résumé présentoui

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