Highlights
- •The predictive value of VWF for MACE is unknown in patients with asymptomatic carotid stenosis.
- •This large cohort study investigated the predictive value of VWF for MACE in 811 patients with carotid stenosis.
- •VWF levels within the highest quartile were independently associated with a 2.1-fold increase in MACE.
- •This cohort study in 811 patients with carotid stenosis showed that high VWF-levels predicted MACE, which may be useful for risk stratification.
Abstract
Background and aims
Methods
Results
Conclusions
Graphical abstract

Keywords
1. Introduction
- Van Belle E.
- Rauch A.
- Vincent F.
- Robin E.
- Kibler M.
- Labreuche J.
- Jeanpierre E.
- Levade M.
- Hurt C.
- Rousse N.
- Dally J.B.
- Debry N.
- Dallongeville J.
- Vincentelli A.
- Delhaye C.
- Auffray J.L.
- Juthier F.
- Schurtz G.
- Lemesle G.
- Caspar T.
- et al.
- Le Tourneau T.
- Susen S.
- Caron C.
- Millaire A.
- Marechaux S.
- Polge A.S.
- Vincentelli A.
- Mouquet F.
- Ennezat P.V.
- Lamblin N.
- de Groote P.
- Van Belle E.
- Deklunder G.
- Goudemand J.
- Bauters C.
- Jude B.
Tobin WO, Kinsella JA, Kavanagh GF, O'Donnell JS, McGrath RT, Tierney S, Egan B, Feeley TM, Coughlan T, Collins DR, O'Neill D, Murphy SJX, Lim SJ, Murphy RP, McCabe DJH. Profile of von Willebrand factor antigen and von Willebrand factor propeptide in an overall TIA and ischaemic stroke population and amongst subtypes. J. Neurol. Sci.; 375: 404-410.
- Cortellaro M.
- Boschetti C.
- Cofrancesco E.
- Zanussi C.
- Catalano M.
- de Gaetano G.
- Gabrielli L.
- Lombardi B.
- Specchia G.
- Tavazzi L.
- et al.
2. Materials and methods
2.1 Study designs and patients
2.2 ICARAS VWF substudy
2.3 Loss of VWF antigen vs. activity after multiple freeze/thaw cycles
2.4 Plasma vs. serum VWF levels
2.5 Statistical methods
3. Results
3.1 Pre-study experiments
3.2 VWF antigen levels and MACE
Variable | |
---|---|
Age, years | 69.0 (61.2–76.2) |
Female gender | 322 (38.5%) |
Hypertension | 570 (68.1%) |
Family history of cardiovascular disease | 457 (54.6%) |
Previous peripheral arterial disease | 366 (43.7%) |
Current smokers | 217 (25.9%) |
Previous myocardial infarction | 204 (24.4%) |
Diabetes | 194 (23.2%) |
Previous stroke | 130 (15.5%) |
Body Mass Index (kg/m2) | 26.1 (24.0–28.7) |
HbA1c% (glycated haemoglobin) | 6.0 (5.6–6.6) |
Triglycerides (mg/dl) | 147 (107–216) |
Total cholesterol (mg/dl) | 205 (175–236) |
Low Density Lipoprotein- cholesterol (mg/dl) | 118 (94–146) |
Highly sensitive C- reactive protein (mg/dl) | 0.29 (0.14–0.64) |
Serum creatinine (mg/dl) | 1.06 (0.93–1.23) |
VWF antigen level (%) | 168 (122–227) |
Independent predictors of outcome | Hazard ratio | 95% CI | Significance |
---|---|---|---|
VWF antigen levels in the 4th quartile | 2.15 | 1.46–3.16 | <0.001 |
Highly sensitive- C reactive protein | 1.26 | 1.07–1.46 | 0.004 |
Family history of cardiovascular disease | 1.42 | 1.09–1.85 | 0.011 |
Previous myocardial infarction | 1.47 | 1.08–1.98 | 0.013 |
Diabetes mellitus type 2 | 1.48 | 1.04–2.11 | 0.030 |

VWF Ag group | VWF concentration % | Hazard ratio | 95% CI |
---|---|---|---|
1st quartile | 36–123% | 1.00 | |
2nd quartile | 123–168% | 1.49 | 0.99–2.24 |
3rd quartile | 169–227% | 1.25 | 0.82–1.90 |
4th quartile | 228–728% | 2.15 | 1.46–3.16 |
4. Discussion
- Thogersen A.M.
- Jansson J.H.
- Boman K.
- Nilsson T.K.
- Weinehall L.
- Huhtasaari F.
- Hallmans G.
4.1 VWF and stroke
4.2 VWF and atherosclerosis in stroke patients
- Nichols T.C.
- Bellinger D.A.
- Tate D.A.
- Reddick R.L.
- Read M.S.
- Koch G.G.
- Brinkhous K.M.
- Griggs T.R.
- Bilora F.
- Dei Rossi C.
- Girolami B.
- Casonato A.
- Zanon E.
- Bertomoro A.
- Girolami A.
- Sramek A.
- Bucciarelli P.
- Federici A.B.
- Mannucci P.M.
- De Rosa V.
- Castaman G.
- Morfini M.
- Mazzucconi M.G.
- Rocino A.
- Schiavoni M.
- Scaraggi F.A.
- Reiber J.H.
- Rosendaal F.R.
- Dhanesha N.
- Prakash P.
- Doddapattar P.
- Khanna I.
- Pollpeter M.J.
- Nayak M.K.
- Staber J.M.
- Chauhan A.K.
- Olsen E.H.
- McCain A.S.
- Merricks E.P.
- Fischer T.H.
- Dillon I.M.
- Raymer R.A.
- Bellinger D.A.
- Fahs S.A.
- Montgomery R.R.
- Keith Jr., J.C.
- Schaub R.G.
- Nichols T.C.
- Kastritis E.
- Papassotiriou I.
- Terpos E.
- Roussou M.
- Gavriatopoulou M.
- Komitopoulou A.
- Skevaki C.
- Eleutherakis-Papaiakovou E.
- Pamboucas C.
- Psimenou E.
- Manios E.
- Giannouli S.
- Politou M.
- Gakiopoulou H.
- Papadopoulou E.
- Stamatelopoulos K.
- Tasidou A.
- Dimopoulos M.A.
- Kastritis E.
- Papassotiriou I.
- Terpos E.
- Roussou M.
- Gavriatopoulou M.
- Komitopoulou A.
- Skevaki C.
- Eleutherakis-Papaiakovou E.
- Pamboucas C.
- Psimenou E.
- Manios E.
- Giannouli S.
- Politou M.
- Gakiopoulou H.
- Papadopoulou E.
- Stamatelopoulos K.
- Tasidou A.
- Dimopoulos M.A.
4.3 Limitations
4.4 Conclusion
Financial support
Author contributions
Conflicts of interest
Appendix A. Supplementary data
- Multimedia component 1
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