The Relationship between Low Von Willebrand Factor, Type 1 Von Willebrand Disease and Ageing - Novel Insights from the Lovic and Win Cohort Studies
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".