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Enregistrement W3212267000 · doi:10.1182/blood-2021-148922

Patterns of Care and Outcomes in Adolescents and Young Adults with Myeloproliferative Neoplasms: A Multicenter Population-Based Study

2021· article· en· W3212267000 sur OpenAlexaffabout
Natasha Szuber, Judith Jolin, Michaël Harnois

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensQuebec - Clinical Research Organization in CancerUniversité de MontréalHôpital Maisonneuve-Rosemont
Organismes subventionnairesnon disponible
Mots-clésMedicinePopulationMyelofibrosisEssential thrombocythemiaPolycythemia veraPediatricsYoung adultMyeloproliferative neoplasmInternal medicineBone marrow

Résumé

récupéré en direct d'OpenAlex

Abstract Background: The median age at diagnosis of myeloproliferative neoplasms (MPN) is in the sixth decade, though adolescents and young adults (AYA) with MPN comprise a distinct, growing sub-population. Preliminary data has exposed a unique phenotype and clinical trajectory in these patients (Haematologica. 2019; 104(8):1580-1588; Am J Hematol. 2018; 93(12):1474-1484). Additional questions remain concerning the biological underpinnings of this population, but also, importantly, patterns of care and outcomes in the real-world setting. The objective of this study was to systematically evaluate patterns of care (diagnosis and management), as well as complications in AYA with MPN. Methods: Patients were recruited from the registry of the GQR LMC-NMP, an extensive provincial MPN network (>11 academic and community centers across Quebec). AYA were age 18-40 years at diagnosis (control population, > 40 years at diagnosis), diagnosed between 1978 and 2019 adhering to World Health Organization criteria, with exemption of bone marrow sampling in a subset. Standard risk stratification was according to MPN subtype. Conventional statistical methods were used for analyses (JMP® Pro 14.1.0 software; SAS Institute, Cary, NC, USA). Results: The AYA population consisted of 75 patients: n=15 (20%) polycythemia vera (PV), n=57 (76%) essential thrombocythemia (ET), and n=3 (4%) myelofibrosis (Table 1). Corresponding MPN subtypes in patients > 40 years were 268 (40%) PV, 347 (51%) ET, and 63 (9%) MF. Median age at diagnosis was 34 years (range 18-40) in AYA vs 64 (41-95) in the older cohort. AYA were predominantly female (68% vs 55%; p=0.03). Median platelet count at diagnosis was higher in AYA vs non-AYA (641 vs 602 x10 9/L; p=0.08), with a greater proportion of patients (21% vs 10%; p=0.04) presenting with platelets > 1000 x10 9/L. A trend towards more frequent palpable splenomegaly was observed in AYA (39% vs 25%; p=0.06). Driver mutation status in AYA vs older adults, respectively, was JAK2 (70% vs 87%) followed by CALR (28% vs 9%), MPL (2% in both), and triple negative (0% vs 2%) (p=0.001). Variant allele frequency (VAF) was significantly lower in AYA with median (range) of 20% (3-94) vs 39% (2-100) in non-AYA (p=0.02), with fewer AYA presenting VAF > 20% at diagnosis (48% vs 76%; p=0.002). Risk stratification disclosed 24% of AYA (n=14) vs 53% (n=314) of non-AYA subjects to be high risk (p<0.0001). Significantly fewer cardiovascular co-morbidities were reported in AYA (p<0.003). Regarding work-up and management, markedly more AYA patients underwent bone marrow sampling vs older patients (65% vs 50%; p=0.01). While similar rates of phlebotomy and anti-platelet administration were reported (p=0.3 and 0.2, respectively), appreciably fewer AYA patients were treated with cytoreductive agents (41% vs 72% non-AYA, p<0.0001). The nature of cytoreductive therapy varied between AYA vs older subgroups (p<0.0001 for both hydroxyurea and interferon). A greater proportion of AYA (51%) vs non-AYA (9%) were also exposed to 2+ lines of cytoreduction (p<0.0001). Similar rates of both arterial and venous thrombosis prior to/at diagnosis or post-diagnosis were found across AYA and non-AYA cohorts (p=0.9). Sites of predilection of venous events, however, were distinctive: AYA exhibited a preponderance of splanchnic vein and upper extremity thrombosis (72% and 14% respectively) vs non-AYA (20% and 7%) (p=0.03). Rates of hemorrhagic complications were significantly higher in AYA vs older adults (28% vs 16%; p=0.01), with distinctive patterns of bleeding, dominated by post-procedural/trauma/post-partum (24%) and mucocutaneous (52%) in AYA vs non-AYA (p=0.008). Kaplan-Meier survival analyses revealed proportional rates of thrombosis and hemorrhage-free survival but longer myelofibrosis-free (p=0.004) and overall survival (p=0.0006) in AYA vs older adults (Figure 1). Conclusions: AYA with MPN not only display unique clinical features but are also subject to distinct diagnostic and management practices. More rigorous investigational approaches and a propensity to address AYA with intensive cytoreductive strategies may reflect a signal of overtreatment of this population. Further, the incidence and nature of thrombotic/bleeding complications show distinctive patterns in AYA, requiring targeted vigilance and an individualized approach to monitoring and therapy. Figure 1 Figure 1. Disclosures Szuber: 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)0,001
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 enseignants0,038
Score d'incertitude au seuil0,075

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,001
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 Opus0,007
Tête enseignante GPT0,253
Écart entre enseignants0,246 · 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

Citations2
Publié2021
Routes d'admission2
Résumé présentoui

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