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Enregistrement W2786634922 · doi:10.1182/blood.v128.22.873.873

Novel Insights into the Clinical Phenotype and Pathophysiology Underlying Low VWF Levels: The Low Von Willebrand Factor in Ireland Cohort (LoVIC) Study

2016· article· en· W2786634922 sur OpenAlexaff
Michelle Lavin, Sonia Águila, Sonja Schneppenheim, Niall Dalton, Jamie M. O’Sullivan, Niamh O’Connell, Kevin Ryan, Mary Byrne, Margaret Nolan, Roger J. S. Preston, Ulrich Budde, Paula James, Jorge Di Paola, James S. O’Donnell

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiquePlatelet Disorders and Treatments
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésVon Willebrand factorVon Willebrand diseaseMedicineCohortInternal medicineProspective cohort studyGastroenterologyCohort studyImmunologyPlatelet

Résumé

récupéré en direct d'OpenAlex

Abstract Cohort studies have identified VWF gene mutations in ~65% of patients with type 1 Von Willebrand Disease (VWD). However, in patients with mild reductions in Von Willebrand Factor (VWF) levels, VWF mutations are less common and linkage studies suggest that the reduced plasma VWF levels are often independent of the VWFgene. Important clinical questions therefore remain unanswered regarding diagnosis and management of patients with Low VWF (levels 30-50 IU/dL). Evidence-based diagnostic criteria are needed for establishing the diagnosis of Low VWF, and the relationship between Low VWF levels and bleeding phenotype needs to be defined. Furthermore, the molecular mechanisms responsible for the reduced plasma VWF levels remain unclear. To address these questions, we established the Low VWF Ireland Cohort (LoVIC) study. In contrast to previous Type 1 VWD studies, this prospective longitudinal cohort study recruited only patients with Low VWF levels, (defined by bleeding history and lowest VWF levels 30-50 IU/dL on two occasions, three months apart) and recruited 140 adult Irish patients. Although Bleeding Assessment Tools (BATs) have been used in type 1 VWD, their utility has not been studied in patients with Low VWF. As determined using either the ISTH BAT or the Condensed MCMDM-1 VWD score, we observed significant bleeding histories in the majority of LoVIC patients. For example, among female patients (n=112), 77% had positive ISTH BAT scores (≥6) and 72% had positive MCMDM-1 scores (≥4). Importantly, bleeding tendency did not correlate with plasma VWF levels within the 30-50 IU/dL range. To further investigate this bleeding phenotype, hemostatic studies (including platelet aggregation and coagulation factor assays) were performed. Additional mild coagulation defects were identified in only 10 subjects. Furthermore, abnormal multimer patterns were identified in only 3 patients. To investigate the pathophysiology underlying Low VWF levels, plasma FVIII:C and VWF propeptide (VWF:pp) levels were defined. Interestingly, plasma FVIII:C/VWF:Ag ratios were significantly increased in LoVIC patients compared to normal controls (mean 1.3 versus 1.07; p<0.001). In contrast, increased plasma VWF:pp/VWF:Ag ratios > 3 were observed in only 6% of the total cohort. Taken together, these data demonstrate that the reduced plasma VWF levels in patients with Low VWF are predominantly attributable to decreased VWF synthesis and/or secretion rather than enhanced VWF clearance. To determine whether quantitative and/or qualitative abnormalities in platelet (plt)-VWF may influence bleeding phenotype in patients with Low VWF, we studied plt-VWF:Ag and VWF:CB in 50 consecutive LoVIC patients. In keeping with the hypothesis that reduced VWF synthesis plays a key role in the pathogenesis underlying Low VWF levels, plt-VWF:Ag and plt-VWF:CB levels were both significantly reduced in LoVIC patients compared to controls (mean plt-VWF:Ag 0.16 versus 0.21 IU/109/L, p<0.05; mean plt-VWF:CB 0.18 versus 0.34 IU/109/L, p<0.001). To further study the molecular mechanisms underlying Low VWF levels, plasma VWF:Ag and VWF:RCo responses following desmopressin (DDAVP) administration were examined. In 88% of patients, the post-DDAVP peak levels exceeded 100 IU/dL. Importantly, the response to DDAVP was also sustained with both VWF:Ag and VWF:RCo above 100 IU/dL after 4 hours in 72% subjects. These DDAVP responses demonstrate that Weibel Palade body stores of VWF are maintained in patients with Low VWF, and that the regulated pathway of VWF secretion is intact. Furthermore, the sustained plasma VWF response observed following DDAVP supports the hypothesis that enhanced VWF clearance does not play a major role in the pathogenesis of Low VWF levels. In conclusion, we demonstrate that Low VWF levels are associated with a significant bleeding phenotype. In addition, we further show that in the majority of patients with Low VWF levels, the bleeding phenotype cannot be explained by the presence of concomitant bleeding disorders. Finally, our novel data demonstrate that Low VWF levels are due in large part to reductions in VWF synthesis and/or constitutive secretion. Although enhanced VWF clearance may contribute to the pathophysiology in a minority of individuals with Low VWF, the absolute reduction in VWF plasma half-life is usually mild and not sufficient to significantly impact upon the duration of DDAVP-induced VWF response. Disclosures Lavin: Baxalta: Consultancy, Research Funding. O'Sullivan:Pzifer: Research Funding. O'Connell:Baxalta: Consultancy, Research Funding. James:Octapharma: Research Funding; Bayer: Research Funding; CSL Behring: Research Funding; Biogen: Consultancy; Basalt: Consultancy. Di Paola:CSL BEhring: Consultancy; Biogen: Consultancy. O'Donnell:Bayer: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Baxalta: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novo Nordisk: Research Funding, Speakers Bureau; Boehringer Ingelheim: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: 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, Speakers Bureau; Leo Pharma: Speakers Bureau; CSL Behring: Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: 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)0,002
score de la tête « metaresearch » (Gemma)0,003
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 enseignants0,017
Score d'incertitude au seuil0,033

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,000
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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 Opus0,044
Tête enseignante GPT0,314
Écart entre enseignants0,270 · 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
Publié2016
Routes d'admission1
Résumé présentoui

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