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Enregistrement W2906488389 · doi:10.1182/blood-2018-99-110650

Prospective Diagnosis of VWD in a Large Cohort of Patients with Bleeding Symptoms through the Zimmerman Program

2018· article· en· W2906488389 sur OpenAlexaff
Veronica H. Flood, Pamela A. Christopherson, Joan Cox Gill, Kenneth D. Friedman, Sandra L. Haberichter, Jorge Di Paola, Paula D. James, Janna M. Journeycake, Steven R. Lentz, Cindy Leissinger, Margaret V. Ragni, Madhvi Rajpurkar, Jonathan Roberts, Amy D. Shapiro, Robert F. Sidonio, Robert R. Montgomery, Thomas C. Abshire

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineMedicine
ThématiquePlatelet Disorders and Treatments
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésVon Willebrand diseaseMedicineProspective cohort studyPopulationInternal medicineCohortBleeding diathesisVon Willebrand factorPediatricsGastroenterologyPlatelet

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Diagnosis of von Willebrand disease (VWD) is challenging in clinical practice due to variability in laboratory testing and clinical bleeding history. We investigated the prospective diagnosis of VWD in academic hematology clinics across the U.S. and Kingston, ON and report on the final cohort here. Methods: Subjects were enrolled as new consults to their hematologist for evaluation of a bleeding disorder from 11 centers. Laboratory results including VWF antigen (VWF:Ag) and VWF platelet binding activity were determined both locally (VWF ristocetin cofactor activity [VWF:RCo] or VWF:GPIbM) and centrally (VWF:GPIbM) to determine the comparative effectiveness in VWD diagnosis. Some centers defined type 1 VWD with levels <30 and low VWF as VWF:Ag and/or activity ≥30 but less than lower limit of normal while others used only type 1 VWD. Bleeding scores were obtained using the ISTH bleeding assessment tool. DNA sequencing of all exons including intron/exon boundaries was performed and variants classified as presumably pathogenic if present in <1% of the general population using human genetic variation databases. Results: A total of 1826 subjects undergoing evaluation for VWD or a suspected bleeding disorder were prospectively enrolled. Median age, demographics, and bleeding score did not differ between the VWD and non VWD groups. Since pediatric subjects comprised a large segment of our cohort, bleeding scores were examined for subjects ≥18 years old and showed no difference with a median of 7 for those with and without VWD (p=NS). Subjects with VWD had no significant difference in VWF:Ag between local and central lab testing. Differences in VWF platelet binding was likely due to most local labs using VWF:RCo vs central lab testing with VWF:GPIbM. The diagnosis of VWD was determined locally. A total of 36% of subjects received a diagnosis of VWD. Of those, 63% received a diagnosis of type 1 VWD, 27% low VWF and 10% other (type 2A, 2B, 2M, 2N, 3 or unclassified). The percent of subjects with VWD was consistent across centers. One subject was diagnosed as type 3 VWD. For type 2 VWD, 4% were 2A, 1% 2B, 2% 2M, and <1% 2N. Pathogenic genetic variants in VWF were most common (71%) in type 2 and 3 VWD subjects as compared to type 1 (45%) or low VWF (25%) cohorts. We then separated these subjects into 3 groups by diagnostic testing: 1) type 1 VWD (using criteria of VWF:Ag or activity <30 by either local or central lab), 2) low VWF or 3) non VWD. Type 2 VWD required VWF activity/VWF:Ag ratio <0.6, loss of high molecular weight multimers for types 2A and 2B and increased VWF platelet binding for type 2B. When both local and central lab results were taken into account and study definitions applied, only 29% of the enrolled subjects had abnormal VWF levels. Of these, 78% had low VWF, 15% type 1, and 7% type 2 VWD. Median bleeding score for both the low VWF and type 1 cohorts was 4 (p=NS). Type 2 subjects with confirmed phenotypic diagnoses had a median bleeding score of 5 (p=NS compared to the type 1 or low VWF cohorts). Discussion: This unique large prospective study of bleeding disorder subjects, designed as an inception cohort, highlights the diagnosis of VWD but presents several clinical challenges: 1) The lack of difference in bleeding scores between VWD and non VWD suggests that bleeding symptoms are common and possibly due to other diagnoses or not necessarily related to VWF levels. 2) The variability in VWD diagnosis with borderline levels is common when local and central lab testing are applied, potentially due to varying use of the VWF:RCo vs VWF:GPIbM to assess platelet binding activity. The comparative effectiveness of methods of diagnosis will be highlighted by followup testing on these subjects. 3) As only 1/3 of subjects merited a VWD or low VWF diagnosis, mild bleeding may be the result of other conditions; platelet defects, vascular disorders, collagen defects, other unidentified mechanisms or potentially non-pathogenic. We hypothesize that the presence of bleeding symptoms increases the likelihood that a diagnosis of VWD will be made, regardless of the level. This cohort will continue to be followed longitudinally which may help elucidate the importance of serial VWF measurement. However, the stability of VWD diagnosis across centers in 1/3 of subjects suggests a broader application. Disclosures Friedman: Shire: Membership on an entity's Board of Directors or advisory committees; CSL Behring: Membership on an entity's Board of Directors or advisory committees. James:Bayer: Research Funding; Shire: Research Funding; CSL Behring: Research Funding. Ragni:CSL Behring: Research Funding; Bioverativ: Consultancy, Research Funding; Shire: Research Funding; Biomarin: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sangamo: Research Funding; MOGAM: Membership on an entity's Board of Directors or advisory committees; Alnylam: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novo Nordisk: Research Funding; SPARK: Consultancy, Research Funding. Rajpurkar:HEMA biologics: Honoraria; Bristol Myers Squibb: Research Funding; Shire: Honoraria; Pfizer: Honoraria, Research Funding; Novonordisk: Honoraria. Shapiro:Shire: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Octapharma: Research Funding; Sangamo Biosciences: Consultancy; Bioverativ, a Sanofi Company: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genetech: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; OPKO: Research Funding; Bio Products Laboratory: Consultancy; Novo Nordisk: Membership on an entity's Board of Directors or advisory committees, Research Funding; BioMarin: Research Funding; Daiichi Sankyo: Research Funding; Bayer Healthcare: Other: International Network of Pediatric Hemophilia; Kedrion Biopharma: Consultancy, Research Funding; Prometic Life Sciences: Consultancy, Research Funding. Sidonio:genentech: Membership on an entity's Board of Directors or advisory committees, Research Funding; shire: Membership on an entity's Board of Directors or advisory committees, Research Funding; bioverativ: Membership on an entity's Board of Directors or advisory committees, Research Funding; octapharma: Membership on an entity's Board of Directors or advisory committees; grifols: Membership on an entity's Board of Directors or advisory committees, Research Funding; biomarin: Membership on an entity's Board of Directors or advisory committees; uniqure: Membership on an entity's Board of Directors or advisory committees; csl behring: Membership on an entity's Board of Directors or advisory committees; novo nordisk: Membership on an entity's Board of Directors or advisory committees. Montgomery:BCW: Patents & Royalties: GPIbM assay patent to the BloodCenter of Wisconsin. Abshire:CSL: Consultancy; Shire: Consultancy; Novo Nordisk: Other: DSMB.

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 enseignants0,014
Score d'incertitude au seuil0,028

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 recherche0,0000,001
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 GPT0,255
Écart entre enseignants0,249 · 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
Publié2018
Routes d'admission1
Résumé présentoui

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