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Enregistrement W1178910548 · doi:10.1182/blood.v124.21.4297.4297

Prophylactic Rh and Kell Antigen Matching Significantly Decreases Rates of Alloimmunization in Transfusion Dependent MDS Patients

2014· article· en· W1178910548 sur OpenAlexaff
Aliza Saskin, Yulia Lin, Richard A. Wells, Martha Lenis, Alex Mamedov, Jeannie Callum, Rena Buckstein

Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueBlood groups and transfusion
Établissements canadiensUniversity of TorontoHealth Sciences CentreSunnybrook Health Science CentrePrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineBlood transfusionAntigenIsoantibodiesInternal medicineRh blood group systemRed blood cellImmunologySurgeryAntibody

Résumé

récupéré en direct d'OpenAlex

Abstract Background: 40-80 % of patients with myelodysplastic syndrome (MDS) become transfusion dependent during their disease course and are at risk for the development of alloimmunization. Red blood cell (RBC) alloantibodies can make finding compatible blood for transfusion more difficult, expensive and time consuming. Allommunization rates of approximately 30-47% have been reported in patients with sickle cell disease and the transfusion of RBCs prophylactically matched for Rh antigens E and C, and K antigens reduced the rate of alloimmunization from 3% to 0.5% per unit (Vichinsky et al, 2001). In 2007, our hospital instituted a policy of transfusing prophylactic Rh and K matched blood to MDS patients. The objectives of this study were to compare the rates of alloimmunization in MDS patients who received prophylactic Rh and K matched blood compared to those that did not and identify potential risk factors for alloimmunization. Methods: 193 Transfusion dependent MDS patients were identified out of 387 patients registered and prospectively followed in a local MDS registry. Transfusion dependence was defined as the receipt of at least 1 unit of PRBC every 8 weeks for a minimum of 16 weeks. Records of transfusions received up to May 1, 2014 were collected from blood bank databases of the hospitals at which patients were transfused. Patients were classified according to whether phenotyping had been performed, the location of transfusions (transfused only at our institution, transfused only at an outside institution or transfused at both sites) and whether prophylactic Rh (E, C antigens) and K matched blood was transfused. Data were descriptively analyzed and we conducted univariate and multivariate logistic regression using p< 0.05 as statistically significant to identify risk factors for alloimmunization. Results: 176 MDS patients with complete transfusion records are included, 73 transfused at Sunnybrook, 92 transfused in community hospitals and 11 at both. The median age was 72 yrs (range 22-89), 60% were male, and 8%, 43% and 27% had very low, low and intermediate risk R-IPSS scores respectively. Median follow up was 2.9 years (IQR 1.6-5) 3.49 SD). Blood groups O, A, B, AB and O were 45%, 38%, 15% and 2% respectively, while 85% were RhD+. The median time from diagnosis until first transfusion was 4 months (IQR: 0.2-14), with 51 patients having received at least 1 transfusion prior to diagnosis at a median time of 0.9 months. 4.5% had a pre-existing allo-antibody at time of MDS diagnosis. With a median follow up from diagnosis of 3 years (IQR:1.6-5)), the median number of RBC units transfused was 38 (IQR: 15-98)) and 36 (20%) patients developed new alloantibodies (median 2 (IQR (1-2.5) alloantibodies). The median number of RBC units until first allo antibody was 13.5 units (range 0-121) and 1.25 years from diagnosis (95% CI:0.4-2.1). The majority of the alloantibodies were in the Rh (n=28) and K (n=14) groups (80%) and co-existed 27% of the time. More patients transfused at our hospital received prophylactic Rh K matched blood sometimes or always (60% versus 26%) and rates of allo-immunization were decreased by 65% (absolute rate of alloimmunization 10% versus 29%). By multivariate analysis analysis, number of rbc transfused (p<.0001), receiving prophylactic phenotype matched blood (p=.0008) and location of transfusions (Sunnybrook versus elsewhere (p=.03)) were independent risk factors for alloimmunization. Conclusions: 20-30% of RBC transfusion dependent MDS patients will become allo-immunized to clinically significant blood group antigens, the majority being Rh and K antigens. The practice of phenotyping at baseline and prophylactically transfusing Rh and Kell matched blood decreases rates of alloimmunization up to 65% and should be strongly considered for routine transfusion practice in centres that treat MDS. Table 1. All Patients (n=176) Sunnybrook (n=73) Community(n=92) Ever phenotyped 45% 64% 28% Phenotyped before 1st transfusion 20% 38% 8% Developed allo-antibodies 20% 10% 29% Received prophylactic Rh K matched blood (developed alloantibodies) Never Sometimes Always 58% (16%) 24% (42%) 18% (6%) 40% (3%) 23% (23%) 37% (7%) 74% (22%) 22% (60%) 4% (0%) Figure 1. Allo Antibody free survival according to number of red cell units transfused in patients that developed an allo-antibody Figure 1. Allo Antibody free survival according to number of red cell units transfused in patients that developed an allo-antibody Disclosures Wells: Celgene: Honoraria, Other, Research Funding; Novartis: Honoraria, Research Funding; Alexion: Honoraria, Research Funding. Buckstein:Celgene: Research Funding.

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 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 enseignants0,035
Score d'incertitude au seuil0,403

Scores Codex et Gemma par catégorie

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

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 GPT0,225
Écart entre enseignants0,218 · 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.

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

Citations3
Publié2014
Routes d'admission1
Résumé présentoui

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