Evaluation of a microfluidic flow assay to screen for von Willebrand disease and low von Willebrand factor levels.

Essentials von Willebrand factor (VWF) function is shear stress dependent. Platelet accumulation in a microfluidic assay correlates with VWF levels. The microfluidic assay discriminates type 1 von Willebrand disease from healthy controls. The microfluidic flow assay detects responses to therapeutic intervention (DDAVP).

SUMMARY: Background von Willebrand disease (VWD) is a mucocutaneous bleeding disorder with a reported prevalence of 1 in 10 000. von Willebrand factor (VWF) function and platelet adhesion are regulated by hemodynamic forces that are not integrated into most current clinical assays. Objective We evaluated whether a custom microfluidic flow assay (MFA) can screen for deficiencies in VWF in patients presenting with mucocutaneous bleeding. Methods Whole blood from individuals with mucocutaneous bleeding was assayed in a custom MFA. Results Thirty-two patients with type 1 VWD (10/32) or reported mucocutaneous bleeding were enrolled. The platelet adhesion velocity (r = 0.5978 for 750 s-1 and 0.6895 for 1500 s-1 ) and the maximum platelet surface area coverage (r = 0.5719 for 750 s-1 and 0.6633 for 1500 s-1 ) in the MFA correlated with VWF levels. Furthermore, the platelet adhesion velocity at 750 s-1 (type 1 VWD, mean 0.0009761, 95% confidence interval [CI] 0.0003404-0.001612; control, mean 0.003587, 95% CI 0.002455-0.004719) and at 1500 s-1 (type 1 VWD, mean 0.0003585, 95% CI 0.00003914-0.0006778; control, mean 0.003132, 95% CI 0.001565-0.004699) differentiated type 1 VWD from controls. Maximum platelet surface area coverage at 750 s-1 (type 1 VWD, mean 0.1831, 95% CI 0.03816-0.3281; control, mean 0.6755, 95% CI 0.471-0.88) and at 1500 s-1 (type 1 VWD, mean 0.07873, 95% CI 0.01689-0.1406; control, mean 0.6432, 95% CI 0.3607-0.9257) also differentiated type 1 VWD from controls. We also observed an improvement in platelet accumulation after 1-desamino-8-d-arginine vasopressin (DDAVP) treatment at 1500 s-1 (pre-DDAVP, mean 0.4784, 95% CI 0.1777-0.7791; post-DDAVP, mean 0.8444, 95% CI 0.7162-0.9726). Conclusions These data suggest that this approach can be used as a screening tool for VWD.