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Enregistrement W2560998810 · doi:10.1182/blood.v126.23.2136.2136

The Phenotypic Spectrum of Pyruvate Kinase Deficiency (PKD) from the PKD Natural History Study (NHS): Description of Four Severity Groups By Anemia Status

2015· article· en· W2560998810 sur OpenAlexaffabout
Rachael F. Grace, D. Holmes Morton, Wilma Barcellini, Stefan Eber, Jenny M Depsotovic, Christine Knoll, Hassan M. Yaish, Peter E. Newburger, Jennifer Rothman, Alexis A. Thompson, Yaddanapudi Ravindranath, Joachim B. Kunz, Eduard J. van Beers, Marcin W. Włodarski, Kerri Nottage, Heng Wang, Mukta Sharma, Melissa J. Rose, Yves Pastore, Patricia J. Giardina, Melissa Rhodes, Kevin H.M. Kuo, Vicky R. Breakey, Ellis J. Neufeld, Dongjing Guo, Wendy B. London, Jill Falcone, Bertil Glader

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueErythrocyte Function and Pathophysiology
Établissements canadiensMcMaster UniversityUniversity of TorontoUniversity Health NetworkCentre Hospitalier Universitaire Sainte-Justine
Organismes subventionnairesnon disponible
Mots-clésSplenectomyMedicineCohortAnemiaPediatricsInternal medicineSpleen

Résumé

récupéré en direct d'OpenAlex

Abstract Background: An international, multicenter registry was established to collect clinical data on patients with PKD, the most common glycolytic defect causing congenital non-spherocytic hemolytic anemia. Aim: To describe and categorize the phenotypic spectrum of PKD, including the range of lab parameters, management, and complications. Methods: 144 patients enrolled on the PKD NHS at 23 sites from 3/2014 to 6/2015. For this report, baseline and retrospective data were included. PKD patients were categorized into 4 severity groups (Gp1-Gp4), with increasing severity of the disease: Gp1. Never regularly transfused +/- prior acute transfusions; Gp2. Regular transfusions prior to splenectomy, post-splenectomy baseline hemoglobin (hb) >8.7 g/dl; Gp3. Regular transfusions prior to splenectomy, post-splenectomy baseline hb ≤8.7 g/dl; and Gp4. Post-splenectomy and currently regularly transfused. To reduce the risk of chance associations when dividing the cohort by phenotype, the cohort was divided into a test set (n=73) to define the categories and a subsequent validation set (n=71). Results: Median age at enrollment was 19.9 years (0.1-70.7) with 47% males. This cohort was 95% Caucasian and 38% Amish. Perinatal complications were frequently reported including preterm birth (33%), perinatal transfusions (35%), and hydrops (10%). Newborn jaundice was common, requiring phototherapy (91%) and/or exchange transfusion (46%). 68% (98/144) had undergone splenectomy at a median age of 3.1 years (0.6-28.1). Common indications for splenectomy included reducing transfusion burden, improving anemia, and enhancing quality of life. The median pre-splenectomy hb was 7.0 g/dl (4.5-12.5). Splenectomy reduced the transfusion burden in 91%. Triggers for hemolysis included: pregnancy (59%), infections (61%), stress (35%), and medications (6%). In the 37% (53/144) who required a cholecystectomy, the median age was 14 years (2.6-60.4) and 35 (66%) occurred post-splenectomy. In both the test and validation cohorts, increased severity was associated with a younger age at diagnosis (p<0.01) and higher ferritin (p<0.01, Table). More severe patients were more likely to receive iron chelation (p<0.01). Reticulocyte counts and MCV were incrementally higher with increasing severity in the non-regularly transfused Gps (p=0.02). Gp4 pts required regular transfusions even after splenectomy (11/98). In this group, the median age of splenectomy was 5.0 y (2.1-11.8). Ferritin was higher in those who had a splenectomy, even after adjusting for transfusion status (p<0.0001). In the Gp1 pts with available iron studies, even in the absence of regular transfusions, the majority had evidence of iron overload; 7/10 (70%) had a liver iron concentration (LIC) >4 mg/g dry weight and 9/11 (82%) had ferritin >500 ng/ml. Chelation was used in 35 patients at a median age of 11.8 years (1-53.7) with a median ferritin 815 ng/ml (182-5630) and median LIC 5.7 mg/g dry weight (1.7-46.0). Conclusions: This NHS cohort is the largest assembly of PKD patients to date. We defined 4 severity Groups, based on transfusion history, anemia, and splenectomy status. Complications (e.g. iron overload) correlate with disease severity but also occur in milder phenotypes. Based on these findings, regular monitoring of iron status and screening for gallstones should be considered. Transfusion dependence persisted despite splenectomy in 11% of patients. Prospective data from the NHS will provide guidance for monitoring and treatment in this rare anemia. Figure 1. Figure 1. Disclosures Grace: Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Morton:Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees. Eber:Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees. Yaish:Agios: Membership on an entity's Board of Directors or advisory committees. Nottage:Janssen Pharmaceuticals: Employment. Kuo:Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees. Neufeld:Agios: 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 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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,555
Score d'incertitude au seuil0,356

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 Opus0,030
Tête enseignante GPT0,231
Écart entre enseignants0,201 · 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

Citations2
Publié2015
Routes d'admission2
Résumé présentoui

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