MétaCan
Menu
Retour à la cohorte
Enregistrement W3096623906 · doi:10.1182/blood-2020-141835

Secondary Erythrocytosis Is Phenotypically Distinct from Polycythemia Vera but Associated with Comparable Rates of Thrombosis at Diagnosis

2020· article· en· W3096623906 sur OpenAlexaffabout
Eliane Nguyen, Natasha Szuber, Michaël Harnois, Lambert Busque, Luigina Mollica, Sarit Assouline, Inès Chamakhi, Harold J. Olney, Shireen Sirhan

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensCentre Hospitalier de l’Université de MontréalMcGill UniversityQuebec - Clinical Research Organization in CancerJewish General HospitalCégep de Saint-LaurentUniversité de MontréalHôpital du Sacré-Cœur de MontréalHôpital Maisonneuve-Rosemont
Organismes subventionnairesnon disponible
Mots-clésMedicinePolycythemia veraHematocritInternal medicineGastroenterologyErythropoietinPhlebotomyRed blood cell distribution width

Résumé

récupéré en direct d'OpenAlex

Background: Since lowering the hemoglobin (Hb) and hematocrit (Hct) diagnostic thresholds for polycythemia vera (PV) to 165 g/L and 49% in men and 160 g/L and 48% in women respectively, by the World Health Organization (WHO) in 2016 (Blood. 2016;127:2391), hematologists have witnessed an increase in referrals for erythrocytosis, a significant proportion of which are found to have secondary erythrocytosis (SE). This has yielded novel challenges as comprehensive data on SE and reports comparing SE vs PV are scarce. Further, data regarding thrombosis in SE have been inconsistent (Clin Appl Thromb Hemost. 2013;19:363; J Clin Anesth. 1991;3:99; Ann Hematol. 2016;95:233). Methods: This multicentric retrospective study included PV patients enrolled in a pan-provincial registry of the chronic myeloid leukemia and myeloproliferative neoplasms Quebec Research Group (GQR LMC-NMP). SE patients were recruited from the Maisonneuve-Rosemont Hospital, Montreal, Quebec, Canada. PV diagnosis was per WHO 2016 criteria (Blood. 2016;127:2391). SE was defined as sustained elevation in Hb and/or Hct above WHO thresholds for PV with negative JAK2V617F testing and non subnormal serum erythropoietin (Epo) levels. Epo levels were drawn in therapy-naïve patients within 3 months of diagnosis using a standard immune-enzymatic assay (reference 3-30 mIU/mL). Endogenous erythroid colony assays used standard methods. JAK2 mutation screen and risk-stratification for PV were according to convention. Standard statistical methods were used to assess variables across i) SE and PV groups, and ii) subjects having experienced a thrombotic event vs no thrombosis. JMP® Pro 13.0.0 software was used for all analyses (SAS Institute, Cary, NC, USA). Results: Among 102 informative cases of erythrocytosis, 36 (35%) were SE and 66 (65%) were PV. Median age was significantly lower in the SE (57 years old; range 19-76) vs PV group (63.5 years old; range 20-89) (p=0.005), with a preponderance of males (75% in SE vs 45% PV; p=0.004). Median serum Epo levels were normal in the SE cohort (10.3 mIU/mL; range <1-148) vs subnormal in PV patients (2.3 mIU/mL; range <1-14.1) (p<0.0001). At diagnosis, SE vs PV patients had significantly lower baseline platelets (191 vs 417 x 109/L; range 125-476 vs 120-995), leukocyte counts (7.2 vs 10 x 109/L, range 4.1-15.1 vs 4.5-20.5) and lactate dehydrogenase (LDH) (182 vs 247 U/L, range 126-316 vs 157-874) (p<0.0001). Further, SE vs PV cohorts displayed less frequent palpable splenomegaly (6% vs 23%; p=0.02), higher median BMI (33.4 vs 26; p=0.02), and an excess of active smokers (31% vs 12%; p=0.03) (Table 1). The most prevalent etiology of erythrocytosis in the SE cohort was idiopathic, reported in 50% of cases (n=18), followed by smoking/chronic obstructive pulmonary disease in 22.2% (n=8), smoking plus additional factors in 8.3% (n=3), sleep apnea, polycystic kidney disease, or a combination of the latter two in 5.6% each (n=2 each) and post kidney transplant in 2.7% (n=1) (Table 1). Nearly as many SE (n=11, 31%) as PV patients (n=26, 39%) were exposed to bone marrow sampling (p=0.37) and SE patients were frequently managed with phlebotomy (42% vs 76% PV, p=0.0007) and aspirin therapy (56% vs 93% PV, p<0.0001) (Table 1). SE and PV populations had similar rates of thrombosis at/prior to diagnosis including events in 9 (25%) SE and 19 (29%) PV patients (p=0.68), both predominantly arterial (n=7 and n=16 respectively; p=0.58) (Table 2). History of thrombosis at any time in both groups clustered significantly with older age (p=0.001), hypertension (p<0.0001), diabetes (p=0.01), obesity (p=0.01) and hyperlipidemia (p<0.0001) (Table 3). Conclusions: SE patients are significantly younger, more likely to be male, active smokers, and obese, with normal-high Epo, normal LDH, and exceedingly rare leukocytosis and thrombocytosis, discriminating them phenotypically from PV patients. Importantly, rates of thromboembolic events prior to/at diagnosis are comparable in SE vs PV, suggesting that SE may not be benign from a thrombosis standpoint. Classic cardiovascular risk factors significantly cluster with thrombosis risk, emphasizing the importance of controlling these variables in both cohorts. Finally, a significant portion of SE patients are subject to bone marrow sampling and, though controversial, treatment with phlebotomy and aspirin, highlighting the need for formal studies to guide management in this population. Disclosures Szuber: Novartis: Honoraria. Busque:BMS: Honoraria; Pfizer: Honoraria; Novartis: Honoraria. Assouline:Takeda: Research Funding; BeiGene: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; AstraZeneca: Consultancy, Honoraria, Speakers Bureau; Pfizer: Consultancy, Honoraria; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Research Funding. Olney:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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 enseignants0,004
Score d'incertitude au seuil0,009

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 savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,037
Tête enseignante GPT0,264
Écart entre enseignants0,227 · 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

Citations4
Publié2020
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueBloodMême sujetMyeloproliferative Neoplasms: Diagnosis and TreatmentTravaux en français237 207