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Enregistrement W3097480389 · doi:10.1182/blood-2020-140065

High Transfusion Dependence and Serum Ferritin but Not Transferrin Saturation Predict Inferior Clinical Outcomes in Patients with MDS

2020· article· en· W3097480389 sur OpenAlexaffabout
Jennifer Teichman, Michelle Geddes, Nancy Zhu, Mary‐Margaret Keating, Mitchell Sabloff, Grace Christou, Brian Leber, Dina Khalaf, Ève St‐Hilaire, Nicholas Finn, April Shamy, Karen Yee, John M. Storring, Thomas J. Nevill, Robert Delage, Mohamed Elemary, Versha Banerji, Lee Mozessohn, Lisa Chodirker, Liying Zhang, Mohammed Siddiqui, Anne Parmentier, Heather A. Leitch, Rena Buckstein

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensUniversity of British ColumbiaMcGill University Health CentreSunnybrook Health Science CentreJewish General HospitalSt. Paul's HospitalDr. Georges-L.-Dumont University Hospital CentreMcMaster UniversityHôpital de l'Enfant-JésusJuravinski Cancer CentreVancouver General HospitalUniversity of CalgaryPrincess Margaret Cancer CentreHealth Sciences CentreCancerCare ManitobaUniversity Health NetworkOttawa HospitalQueen Elizabeth II Health Sciences CentreUniversity of AlbertaUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésTransferrin saturationMedicineFerritinInternal medicineMyelodysplastic syndromesGastroenterologyAnemiaImmunologySerum ferritinBone marrow

Résumé

récupéré en direct d'OpenAlex

Intro: Iron overload (IO) reflected by elevated serum ferritins is associated with increased mortality in patients with myelodysplastic syndromes (MDS) with a threshold effect seen above 1000 ug/ml (Malcovati, JCO 2005). Ferritin is elevated due to transfusions, inflammation and ineffective erythropoiesis but is an imperfect metric of true iron overload. Elevated levels of oxidatively damaging non-transferrin bound iron (NTBI) and labile plasma iron (LBI) are not easily measured but correlate with transferrin saturation (TSAT) >70% and >80% respectively (de Swart, Haematological 2018). The relationship of TSAT with ferritin and MDS-related clinical outcomes has not been well-characterized. Objectives: We aimed to describe temporal trends in TSAT according to transfusion dependence and to determine if elevated TSAT correlates with ferritin levels, and/or predicts for clinical outcomes such as survival, infectious death and cardiac death in patients with MDS. Methods: Adult patients enrolled in the Canadian national MDS registry over 11.5 years and 15 centers were evaluated retrospectively. Mean, median and ranges for ferritin and TSAT were calculated at six (+/- 3) month intervals. General linear mixed model analysis with repeated measures per subject was used to evaluate changes in ferritin and TSAT over time. Transfusion density (TD) was calculated at landmark year 1 and 2 and was defined as the total number of units transfused/months elapsed since commencing transfusion dependence, with TD-low and TD-high defined as above or below median. Log-rank tests were used to detect survival differences among three transfusion groups (transfusion independent [TI], TD-low and TD-high), among three TSAT groups (TSAT <50%, 50-80% and >80% at enrolment), and among three ferritin groups (≤500ug/mL, 501-1000ug/mL and >1000ug/mL at enrolment). Results: A total of 718 patients from the MDS-CAN registry were included in the analysis. Patient characteristics including demographics, clinical and laboratory characteristics are summarized in Table 1. With a median follow up of 2.1 years, actuarial OS was 2.4 years. 17% developed AML and 61% of patients have died. AML, progressive disease, infection, cardiac causes, bleeding accounted for 26%, 20%, 19%, 9.6% and 6.34% of known causes of death respectively. 56% experienced infections (median 2/patient), 7% experienced a cardiac event and 43% were hospitalized at least once. Ferritin and TSAT were moderately correlated over time (r=0.63, p < 0.0001) (Figure 1A) with only 39% of all ferritins >1000ug/mL associating with a TSAT of >80%. The relationship between the 2337 serum ferritins (recorded over 42 months) and TSAT is shown in Figure 1B. Among all patients, ferritin significantly increased from enrolment up to 42 months (p<0.0001), however TSAT remained stable over time (p=0.094). There was a small but significant increase in TSAT over time only in TD patients at enrolment (p=0.0148). Transfusion dependence remained stable over time, with a median of 2.7 and 2.3 units transfused/month by landmark years 1 and 2. 5-year OS was 52% (95%CI 45-60%), 44% (95%CI 35-55%) and 25% (95%CI 18-34%) among TI patients, low-TD patients, and high-TD patients, respectively (Figure 2A). 5-year leukemia-free survival (LFS) rates among these three groups were 85% (95%CI 79-90%), 78% (95%CI 70-86%) and 73% (95%CI 62-85%), respectively with no major differences between TD-low and TD-high. Transfusion dependence (ever vs. never TD) was significantly associated with infectious deaths (p=0.0411) but not with cumulative cardiac events (p=0.4726) regardless of iron chelation status. TSAT category was not significantly associated with 5-year OS (Figure 2B), LFS, PFS or cardiac events. Conversely, ferritin category was significantly associated with 5-year OS (Figure 2C) and PFS, but not with LFS or cardiac events. Conclusion: Among a cohort of predominantly low-intermediate risk MDS patients, TSAT correlated only moderately with serum ferritins. TD patients, and in particular high transfusion-burden TD patients have inferior clinical outcomes compared to TI or low-transfusion burden TD patients. Further analyses to probe these relationships are ongoing including the effect of TSAT and iron chelation therapy on infectious deaths, and a multivariate analysis adjusting for other covariates. Disclosures Geddes: Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Keating:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Consultancy; Sanofi: Membership on an entity's Board of Directors or advisory committees; Merck: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Hoffman La Roche: Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Taiho: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; Shire: Membership on an entity's Board of Directors or advisory committees. Leber:Otsuka Pharmaceutical: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS/Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Treadwell: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda/Palladin: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Lundbeck: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Shamy:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Storring:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Nevill:Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Jazz Pharmaceuticals: Honoraria. Delage:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Elemary:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Chodirker:Hoffman Laroche: Honoraria. Leitch:AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Taiho: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Exjade: Speakers Bureau. Buckstein:Astex: Honoraria; Celgene: Honoraria; Takeda: Research Funding; Celgene: Research Funding; Novartis: Honoraria.

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)0,000
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 enseignants0,063
Score d'incertitude au seuil0,126

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
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)0,0010,000

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 GPT0,240
Écart entre enseignants0,228 · 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

Citations1
Publié2020
Routes d'admission2
Résumé présentoui

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