VON WILLEBRAND FACTOR IN ECMO: A DYNAMIC MODULATOR OF HEMORRHAGE AND THROMBOSIS
Bibliographic record
Abstract
ABSTRACT: Von Willebrand factor (vWF) orchestrates hemostasis through platelet activation, factor VIII stabilization, and inflammatory modulation, with emerging evidence highlighting its shear-dependent conformational dynamics as a critical regulator of thrombus formation. The protease ADAMTS13 (a disintegrin and metalloproteinase with thrombospondin type 1 motif, member 13) cleaves ultralarge vWF multimers under physiological conditions, although its efficiency declines sharply at supraphysiological shear forces characteristic of extracorporeal membrane oxygenation (ECMO) circuits. Beyond proteolytic regulation, cumulative evidence confirms that vWF self-association, autoregulatory domains, and inflammatory mediators collectively modulate vWF's thrombogenic potential during ECMO support. Contrary to early assumptions that ECMO-associated vWF dysfunction solely reflects quantitative depletion, contemporary multimodal analyses reveal a biphasic trajectory: an initial prothrombotic phase mediated by shear-induced unfolding of high-molecular-weight multimers, which triggers platelet hyperreactivity in ECMO initiation, followed by a hemorrhagic phase due to progressive vWF multimer degradation and ADAMTS13 exhaustion, with acquired von Willebrand syndrome cases showing simultaneous platelet dysfunction. Post-ECMO removal, endothelial vWF surge then reignites thrombosis risk-a paradoxical rebound observed in survivors despite anticoagulation. Major bleeding and thrombotic events remain despite anticoagulation, underscoring the inadequacy of current anticoagulation and monitoring strategies. Although pulsatile flow modulation and vWF multimer monitoring show promise in preserving hemostatic balance, cohort data are conflicting on post-ECMO anticoagulation efficacy. This review synthesizes mechanistic insights from shear-stress models, clinical outcome studies, and emerging monitoring technologies, providing insights and references for establishing a temporal management framework aimed at maintaining vWF-ADAMTS13 homeostasis across ECMO phases.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".