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Enregistrement W2912636441 · doi:10.1182/blood-2018-99-112307

Iron Overload in Patients Aged 60 Years and Older with Acute Myeloid Leukemia May Impact Adversely on Overall Survival

2018· article· en· W2912636441 sur OpenAlexaff
Colleen A. C. Wong, Chantal S. Leger, Heather A. Leitch

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiqueIron Metabolism and Disorders
Établissements canadiensSt. Paul's HospitalUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineMyeloid leukemiaMyelodysplastic syndromesAnemiaFerritinBone marrowComorbidityUnivariate analysisTransplantationSurgeryGastroenterologyMultivariate analysis

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Analyses in myelodysplastic syndromes (MDS) and other acquired anemias suggest an association between iron overload and inferior clinical outcomes. There are minimal data examining iron levels in patients with acute myeloid leukemia (AML) and its relation to clinical outcomes. Patients with AML aged 60 years or older have inferior outcomes in general and no studies examine iron load and clinical outcomes in these patients. We wished to determine whether iron levels might contribute to the prognosis of these patients. Methods: We performed a retrospective analysis of patients with AML aged ≥60 years diagnosed from 2002-2018. Patients were identified from the clinical database and charts reviewed. Clinical data extracted included baseline characteristics (demographics; AML presentation; ECOG performance status [PS]; comorbidities [Charlson Comorbidity Index (CI) and Hematopoietic Stem Cell Transplantation CI]; predisposing conditions; prior transfusions; blood counts; bone marrow findings; cytogenetic analysis) AML treatment received, status at last follow up and cause of death (COD). Serum ferritin level (SF) and bone marrow iron stores (BMIS) at AML diagnosis were recorded. BMIS were: absent, 0; reduced, 1; normal, 2; increased, 3; and markedly increased, 4. Elevated iron was: SF>750ng/mL or BMIS ≥3. Statistical analyses were performed using SPSS for Windows, version 25. Results: Of 369 AML patients, 101 were ≥60 years and had adequate data for analysis. The median age at AML diagnosis was 70 (range 60-93) years and 60 (59.4%) were male. ECOG PS was 0, 1, 2, 3 and 4 in 7 (6.9%), 17 (16.8%), 48 (47.5%), 23 (22.8%) and 4 (4%) patients, respectively. 51 (50.5%) were de novo AML, and 49 (48.5%) had predisposing conditions, including MDS (n=39; 38.6%), MPN (n=7; 6.9%), and prior chemotherapy (CT) or radiation (n=3; 3.0%). Cytogenetic risk group was intermediate in 47 (46.5%) and adverse in 33 (32.7%). Treatment received included supportive care in 41 (40.6%), low dose chemotherapy (hydroxyurea, n=18; low dose cytarabine, n=4) in 22 (21.8%), induction CT in 18 (17.8%), and azacitidine in 20 (19.8%). Infection or inflammation were documented in 8 (7.9%). Comorbidities were present in 43 (42.6%) patients, and the median (range) number of comorbidities per patient was 1 (1-3). SF was available in 55 (54.5%), BMIS in 68 (67.3%), and both in 22 (21.8%). There was a significant correlation between SF >750ng/mL and BMIS ≥3 (r=0.555, p=0.008). A composite score including SF and BMIS revealed elevated iron stores (ELFE) in 39 (38.6%) and normal to decreased iron stores in 62 (61.4%). In univariate analysis, factors significant for overall survival (OS) included ECOG PS, p<0.0001; de novo versus secondary AML, p=0.02; neutrophil count, p<0.0001; platelet count, p<0.0001; bone marrow blast %, p=0.04; cytogenetic risk group, p=0.02; and AML treatment received, p<0.0001. Factors with a trend toward significance included the presence of dysplasia, p=0.07; and ELFE, p=0.07. In pairwise comparisons, dysplasia and AML treatment received lost significance, p=0.09. Factors remaining significant for OS when paired with ELFE included ECOG PS, p=0.02; and AML treatment (trend), p=0.05. In a multivariate analysis including ELFE, ECOG PS and AML treatment, ELFE and ECOG PS were significant for OS: p=0.046, hazard ratio (HR) for death 2.5, 95% confidence intervals (CI) 1.02-6.14, and p=0.006, HR=4.1, 95% CI=1.50-11.36, respectively. The median OS for patients receiving induction CT with no ELFE was 18 (range 0.2-82) months versus 10.1 (0.1-18.2) months with ELFE (p=0.05, see Figure). Baseline characteristics in the subgroup receiving induction CT were not significantly different between ELFE non-ELFE patients, with the exception of hemoglobin (p=0.008). COD in all patients were: AML progression, n=72 (71.3%); infection, n=4 (4.0%); and bleeding, n=4 (4.0%); with no significant difference in COD between patients with and without ELFE (p=0.4). Conclusions: In this retrospective, non-controlled analysis, for patients aged ≥60 years with a new diagnosis of AML, elevated iron appears to be associated with inferior overall survival, particularly in those receiving induction chemotherapy. To our knowledge, these are the first data examining clinical outcomes in AML patients ≥60 years of age according to iron status. These results should be confirmed in larger, prospective analyses. Disclosures Leitch: AbbVie: Research Funding; Alexion: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding, Speakers Bureau.

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)0,002
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 enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
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)0,0020,000

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 Opus0,006
Tête enseignante GPT0,241
Écart entre enseignants0,235 · 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
Publié2018
Routes d'admission1
Résumé présentoui

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