The first characterization of disease burden and healthcare resource utilization for the recent definition of severe von Willebrand disease using a large United States real-world dataset
Bibliographic record
Abstract
Abstract Introduction: von Willebrand Disease (VWD) is a heterogenous condition with variable manifestations of symptoms ranging from mild to frequent, prolonged, and excessive bleeding. Consequently, the impact of symptoms is often underappreciated, leading to delayed and under-diagnosis, and under-treatment. While a universally aligned definition for VWD severity is lacking, a panel of experts recently developed a working consensus to better define Severe VWD using VWF:Ag laboratory values and/or bleeding symptoms (Wynn et al., ASH 2024). In addition, 2021 ASH ISTH NHF WFH guidelines suggest long-term prophylaxis for people with VWD who have a history of severe and frequent bleeds. With this new consensus definition of Severe VWD, there may be many patients who are not receiving prophylaxis who could be eligible to benefit from it (Connell, et al., Blood 2021). Objectives: To describe the real-world disease impact, including bleeding manifestations, treatment burden, and healthcare resource utilization (HCRU) in severe VWD defined by laboratory values. Methods: This retrospective population-based study included data from Commercial and Medicare Advantage members with claims of VWD during the study period (January 2007 to October 2023) in the Optum Research Database, including linked available laboratory data. Patients were characterized as having VWD if they had 1) ≥2 claims with an ICD-9 or ICD-10 code for a VWD diagnosis at least 30 days apart (286.4, D68.0x), or 2) any VWD-specific treatment or 3) ≥1 laboratory result with a von Willebrand factor antigen (VWF:Ag) or ristocetin cofactor (VWF:RCo) <50 IU/dL. Index date was the earliest of these criteria. Patients were included if they had ≥6 months of health insurance coverage before and at least 30 days after the index date, unless they died. Data reported are from the 12-month period consisting of the 6-months prior to and 6-months after the index date. A subgroup of patients with laboratory findings were classified as Severe VWD (defined as VWF:Ag < 20 IU/dL) and evaluated. An age-, gender-, and region-matched non-VWD population was analyzed for comparison.Disease burden (including bleeding manifestations, bleeding frequency, and anemia), treatment burden (including VWD-related treatments, supportive care, and blood transfusions), and HCRU (including ambulatory visits, emergency room visits, and inpatient hospital stays) were evaluated. Results:9,882 patients met inclusion criteria for the diagnosis of VWD. In a subset of 800 VWD patients with laboratory data, 22% were categorized as Severe VWD. 42% of Severe VWD patients had anemia in the study timeframe. In the Severe VWD patients with recorded bleeding, clinically meaningful bleeding manifestations were: gastrointestinal bleeding (27%), hematoma (49%), hematuria (16%), and joint bleeds (4%). Treatment burden and HCRU were multi-fold higher in the Severe VWD group when comparing to the non-VWD cohort (n=98,920): iron replacement therapy (53x), blood transfusions (33x), days of hospitalization (9x), emergency room visits (5x), and ambulatory visits (4x) over the 12-month period. Additional analyses on bleeding manifestations, treatment burden, and HCRU across VWD Types will be presented at the ASH Conference. Conclusions: Applying the VWF:Ag laboratory definition of Severe VWD identified a group of patients representing > 1/5 of all diagnosed VWD. These patients were characterized with high disease burden, and multi-fold higher treatment burden and HCRU when compared to a non-VWD population. While other bleeding, such as heavy menstrual bleeds, nose bleeds, and bruising are also highly prevalent in this population, they are frequently under-reported in claims data. Based on a prior claims dataset identifying ~140,000 diagnosed VWD patients in the US (Weyand et al., ASH 2024), there exists a substantial number of Severe VWD patients that could benefit from long-term prophylaxis treatment. Currently available long-term prophylactic treatment options can be burdensome, requiring frequent intravenous infusions. Due to the limitations of current prophylactic treatment options and underappreciation of the impact of the disease, many VWD patients who could be eligible to benefit from long-term prophylaxis may be untreated. Novel prophylactic therapy options are needed to reduce treatment burden, increase bleed control, decrease HCRU, and improve outcomes for patients with VWD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".