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Enregistrement W4389248273 · doi:10.1182/blood-2023-181603

The Relationship between Low Von Willebrand Factor, Type 1 Von Willebrand Disease and Ageing - Novel Insights from the Lovic and Win Cohort Studies

2023· article· en· W4389248273 sur OpenAlexaff
Ferdows Atiq, Robin D. Blok, Calvin B. van Kwawegen, Dearbhla Doherty, Michelle Lavin, Johanna G. van der Bom, Niamh O’Connell, Joke de Meris, Kevin Ryan, Saskia E.M. Schols, Mary Byrne, Floor CJI Moenen, Karin PM van Galen, Roger J. S. Preston, Karin Fijnvandraat, Ross Baker, Karina Meijer, Paula James, Jorge Di Paola, Jeroen Eikenboom, Frank W.G. Leebeek, James S. O’Donnell

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiquePlatelet Disorders and Treatments
Établissements canadiensQueen's University
Organismes subventionnairesnon disponible
Mots-clésVon Willebrand diseaseVon Willebrand factorMedicineCohortInternal medicineGastroenterologyCohort studyPlatelet

Résumé

récupéré en direct d'OpenAlex

Introduction For many years, there has been debate about how to optimally diagnose type 1 VWD. Initial guidelines proposed that only individuals with plasma VWF levels < 30 IU/dL should be diagnosed with ‘type 1 VWD’. This was revised in recent ASH/ISTH/WFH/NHF panel which recommended that patients with a significant bleeding history and plasma VWF of 30-50 IU/dL should also be diagnosed with type 1 VWD, as opposed to the discrete ‘Low VWF’ entity proposed in previous guidelines. In this study, we investigated whether Low VWF is a discrete clinical entity, or whether it is instead part of an age-dependent type 1 VWD evolving phenotype. Methods We utilized datasets from two renowned national cohort studies - the Low VWF in Ireland Cohort (LoVIC) and Willebrand in the Netherlands (WiN) studies. In the LoVIC study, patients had a personal bleeding history and historically lowest VWF levels in the 30-50 IU/dL range. In the WiN study, patients had either a personal bleeding history or positive family history, combined with historically lowest VWF levels ≤ 30 IU/dL. Based upon levels at study inclusion versus original diagnosis, WiN patients were categorized into three groups - (i) patients with persistent VWF levels <30 IU/dL; (ii) patients with partial correction in VWF levels into the range of 30-50 IU/dL; and (iii) patients with normalization of VWF levels > 50 IU/dL. The FVIII:C/VWF:Ag ratio was used to assess the synthesis/secretion of VWF and the VWFpp/VWF:Ag ratio was used to assess the clearance of VWF. Results In total, 565 patients were included (403 WiN patients with type 1 VWD and 162 LoVIC patients with Low VWF). Mean age at diagnosis was significantly increased in the LoVIC cohort compared to the three WiN subgroups (32.5 years versus 23.3 years, 26.5 years and 25 years respectively; p<0.001). Conversely, there was no difference in age at time of enrollment into both national studies (p=0.532). To assess the significance of age, we first investigated how plasma VWF:Ag varied over time in WiN type 1 VWD patients compared to the LoVIC cohort. Among the total WiN cohort (with initial VWF levels < 30 IU/dL), 47% of subjects (n=188) had VWF levels that remained < 30 IU/dL despite advancing age. Conversely, 30% of type 1 VWD patients (n=121) increased their plasma VWF levels into the Low VWF range (30-50 IU/dL) over time, whereas 23% (n=94) had age-dependent increments that led to complete normalization in VWF levels > 50 IU/dL. Similarly, 39% (n=63) of patients from the LoVIC study had normalization of VWF levels over time. Crucially, we observed that VWF:Ag in Low VWF patients clearly overlapped with those in normalized (> 50 IU/dL) type 1 VWD subjects, indicating that the LoVIC cohort is a subgroup within the WiN normalized subgroup (Figure 1). To further investigate this concept, we performed multiple regression analysis. Importantly, we observed that plasma VWF:Ag in the LoVIC cohort and the WiN normalized (> 50 IU/dL) subgroup would have not been different had they been diagnosed at the same age (difference of β=0.00 (95% CI -0.03 to 0.04)). Cumulatively, these results indicate that significant heterogeneity exists amongst type 1 VWD patients with respect to the effect of ageing on their plasma VWF levels. In addition, our findings demonstrate that because of age-dependent increases in plasma VWF:Ag, the majority of Low VWF patients would have been diagnosed with type 1 VWD had they undergone assessment earlier in life. Consistently, no difference in prevalence of VWF mutation (36.4% vs 22.6% respectively, p=1.000), FVIII:C/VWF:Ag ratio (1.24 ±0.24 vs 1.46 ±0.27 respectively, p=0.444) or VWFpp/VWF:Ag ratio (1.36 ±0.99 vs 1.75 ±0.38 respectively, p=1.000) was found between LoVIC and normalized WiN patients (Figure 2). Contrarily, WiN patients with persistent VWF levels <30 IU/dL had more often VWF gene variants (93.0%), higher FVIII:C/VWF:Ag ratio (2.65 ±1.62) and higher VWFpp/VWF:Ag ratio (6.14 ±7.05) compared to the other groups (Figure 2, p<0.001). Conclusion Our findings clearly demonstrate that Low VWF does not constitute a discrete clinical or pathological entity. Rather, it is part of an age-dependent type 1 VWD evolving phenotype, as demonstrated by the same VWF levels throughout life, genetic background and pathophysiology. This study has direct consequences for VWD diagnosis, the overall understanding of type 1 VWD as an evolving disease and for patients with low VWF/type 1 VWD.

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)0,007
score de la tête « metaresearch » (Gemma)0,014
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 enseignants0,012
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,014
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0010,000
Communication savante0,0020,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
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 Opus0,043
Tête enseignante GPT0,287
Écart entre enseignants0,244 · 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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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