Skip to main content

Predictive value of von Willebrand factor for venous thrombosis in patients with chronic heart failure complicated with atrial fibrillation after anticoagulant therapy

Abstract

Background

We investigated the value of von Willebrand factor (vWF) in predicting venous thrombosis in patients with chronic heart failure complicated with atrial fibrillation after anticoagulation therapy.

Methods

Totally, 126 patients with chronic heart failure complicated with atrial fibrillation who were treated with anticoagulant therapy and 60 healthy individuals were enrolled. One year after anticoagulant therapy, venous thrombosis occurred in 19 patients. Clinical data of patients were collected. The plasma vWF activity was detected and compared. The logistic regression analysis was used to analyze the influencing factors of vWF. ROC curve was used to evaluate the predictive value of plasma vWF.

Results

Plasma vWF activity was significantly higher in patients with heart failure and atrial fibrillation than control subjects (P < 0.01). The vWF activity in patients with venous thrombosis was significantly higher than that in patients without venous thrombosis (P < 0.01). ROC curve analysis showed that the cut-off value of vWF activity for venous thrombosis within one year after anticoagulant therapy was 267.5%, and the AUC was 0.742 (95% CI: 0.764–0.921, P < 0.05). The sensitivity was 80.0%, and the specificity was 63.6%. Factors of diabetes, myocardial ischemia, old myocardial infarction, and lower extremity atherosclerosis, but not sex, age, coronary heart disease, hypertension, and cardiac function, had significant effect on vWF activity (P < 0.05). Logistic regression analysis showed that vWF activity was significantly related with atherosclerosis of lower limbs and old myocardial infarction, but not significantly related with diabetes and myocardial ischemia. The risk of venous thrombosis in patients with vWF activity greater than 267.5% was 10.667 times higher than that in patients with vWF activity less than 267.5% (P < 0.05).

Conclusion

The vWF activity greater than 267.5% has clinical predictive value for the risk of lower extremity venous thrombosis in patients with chronic heart failure complicated with atrial fibrillation within 1 year of anticoagulant therapy.

Peer Review reports

Background

Chronic heart failure is a group of clinical syndromes manifested in the terminal stage due to the development of various heart diseases such as coronary heart disease, hypertensive heart disease, cardiomyopathy and valvular heart disease [1]. Heart failure and atrial fibrillation frequently coexist. Clinically, about 40% of patients with chronic heart failure have atrial fibrillation [2, 3]. Epidemiological study suggests that atrial fibrillation is prevalent in 24-44% of patients with acute heart failure, in one third of patients with chronic heart failure, and in more than half (57%) of patients with new-onset heart failure [4]. Meanwhile, atrial fibrillation is a precipitating factor for hospitalization of patients with heart failure, accounting for 19% [5].

Atrial fibrillation is an important risk factor for thrombosis in chronic heart failure [6,7,8]. Patients with atrial fibrillation complicated by heart failure, even with anticoagulation therapy, have a higher risk of thrombosis than patients without heart failure [1, 9]. It is suggested that oral anticoagulation is reasonable in patients with heart failure and atrial fibrillation, regardless of underlying systolic function, high or low thromboembolic risk score, or the presence of other thromboembolic risk factors [10, 11]. However, anticoagulation in patients with heart failure and atrial fibrillation is still suboptimal [12].

Endothelial cell injury and endothelial dysfunction are common in patients with heart failure. Under physiological conditions, intact endothelial cells can express various anticoagulant factors, such as tissue factor pathway inhibitor, thrombomodulin, endothelial cell protein C receptor and heparin like proteoglycan, to prevent thrombosis [13]. Endothelial dysfunction, which can lead to the imbalance of procoagulant and anticoagulant factors and recruitment of other blood cells, is the main factor leading to venous thrombosis [14, 15]. Von Willebrand factor (vWF) is mainly synthesized and secreted by endothelial cells and plays an important role in thrombosis. The activated endothelial cell can release Weibel-Parade bodies containing vWF, P-selectin and other procoagulant and proinflammatory components (cytokines and chemokines). Platelet GPIb α interacts with the pre exposed A1 domain of vWF polymers to promote thrombosis [16,17,18,19]. P-selectin can recruit neutrophils to form neutrophil extracellular traps, which can interact with vWF and promote venous thrombosis. For example, neutrophil extracellular traps directly interact with vWF through electrostatic force, and this interaction keeps NETs on the endothelial surface [17]. High plasma concentration of vWF is considered to be a hallmark of endothelial dysfunction, a predisposing state of atherosclerosis and the pathological basis of thrombosis [20, 21]. Elevated vWF levels are associated with an increased risk of thromboembolism and cardiovascular disease [22, 23]. It has been shown that patients with cardiovascular disease, especially patients with atrial fibrillation, have elevated vWF concentrations [24, 25]. In our previous study, we also found that the activities of vWF and coagulation factor VIII in patients with chronic heart failure complicated by thrombosis were significantly higher than those in patients without thrombosis [26]. Anticoagulant therapy for patients with atrial fibrillation has become the primary strategy to prevent thrombosis. However, due to risk factors such as coronary heart disease, hypertension, diabetes, lower extremity atherosclerosis, and advanced age in patients with heart failure, as well as individual differences in the anticoagulant warfarin, and compromised effects of dabigatran and rivaroxaban by liver and kidney dysfunction, patients with heart failure and atrial fibrillation often experience thromboembolism under the condition of anticoagulation therapy [27]. Therefore, it is necessary to evaluate the efficacy of anticoagulation in patients with heart failure and atrial fibrillation.

Herein, we explored the role of plasma vWF in predicting the risk of venous thrombosis during anticoagulation therapy in patients with heart failure and atrial fibrillation. Our findings may provide evidence for prediction and prevention of venous thrombosis in such patients.

Methods

Study participants

We enrolled 126 patients with chronic heart failure and atrial fibrillation who were treated from January 2017 to October 2020. There were 74 males and 52 females, with an average age of 74.15 ± 7.89 years. Among them, 39 patients received warfarin anticoagulant therapy, 87 patients received anticoagulant therapy with new oral anticoagulant drugs (rivaroxaban or dabigatran). The initial dose of warfarin was 2.5 mg per day, for 3–5 days. Then, the dose of warfarin was adjusted according to the prothrombin time/international normalized ratio to maintain the international normalized ratio at 2–3. Rivaroxaban (10 mg) and dabigatran (110 mg) were orally given once daily. Exclusion criteria: (1) patients with family history of hereditary thrombosis; autoimmune diseases, platelet functional diseases, bleeding/coagulation disorders, acute inflammation, systemic inflammatory response syndrome, severe liver and kidney damage, tumors, pregnancy, etc. were excluded; (2) patients received surgery in the past six months were excluded; (3) patients with fracture, trauma, cerebral hemorrhage, or acute myocardial infarction were excluded. The patients were followed up by telephone for one year, with the occurrence of venous thrombosis as the end event. Peripheral blood was collected from patients at one year after anticoagulant therapy. For control, 60 healthy individuals (including 30 males and 30 females, with an average age of 70.23 ± 6.99 years old) undergoing physical examination during the same period were enrolled. This study was approved by the Ethics Committee of People’s Hospital of Xinjiang Uygur Autonomous Region. All methods were performed in accordance with the Declaration of Helsinki. All subjects signed the written informed consent.

Data collection

Clinical data of patients, such as age, gender, medical history, and treatment, were collected.

Detection of biochemical indexes

The plasma vWF activity and D-dimer (D-DI) concentration were determined by STAGO automatic coagulation analyzer with the immunoturbidimetric method. The B-type natriuretic peptide (BNP) concentration was determined using the Triage BNP assay (Biosite, San Diego, CA, USA) based on immunofluorescence.

Statistical methods

All data were processed by SPSS 19.0. The measurement data are expressed as mean ± standard deviation and were compared with one-way analysis of variance or independent-sample t test. Count data is expressed as rate, and was analyzed with the χ2 test. Logistic regression was used to analyze the relationship between vWF and various clinical factors. ROC curve analysis was conducted to evaluate the performance of vWF activity in predicting venous thrombosis in patients with chronic heart failure and atrial fibrillation. P < 0.05 indicates statistically significant difference.

Results

Basic clinical data of subjects

The basic clinical data of patients is shown in Table 1. During the follow-up period, 19 cases of lower limb venous thrombosis occurred, including 14 cases of intermuscular venous thrombosis, 1 case of popliteal vein thrombosis, 1 case of small saphenous vein thrombosis, 1 case of femoral vein thrombosis, 1 case of deep vein thrombosis, and 1 case of posterior tibial vein thrombosis. Among these 19 cases, there were 5 cases taking warfarin and 14 cases taking new oral anticoagulants (rivaroxaban or dabigatran). The χ2 test showed that there was no significant difference in thrombosis between patients taking warfarin and those taking new oral anticoagulants (P < 0.05).

Table 1 Basic information of patients

Comparison of plasma vWF activity

As shown in Table 2, the plasma vWF activity in patients with heart failure and atrial fibrillation after anticoagulation therapy was significantly higher than that of the normal control group (P < 0.01). The activity of vWF in patients with venous thrombosis was significantly higher than that in those without venous thrombosis (P < 0.01). However, the vWF activity was not significantly different between patients taking warfarin and those taking new oral anticoagulants.

Table 2 Comparison of plasma vWF activity

Predictive analysis of plasma vWF activity on venous thrombosis after anticoagulant therapy in patients with heart failure and atrial fibrillation

The ROC curve was used to analyze the predictive value of vWF activity for the occurrence of venous thrombosis within one year in patients with heart failure and atrial fibrillation receiving anticoagulant therapy. As shown in Fig. 1, the area under the curve for vWF was 0.742 (95%CI: 0.764–0.921, P < 0.05). The cut-off value of vWF was 267.5%, with sensitivity of 80.0%, and specificity of 63.6%.

Fig. 1
figure 1

ROC curve of vWF. Predictive effect of plasma vWF activity on venous thrombosis after anticoagulant therapy in patients with heart failure and atrial fibrillation was evaluated by ROC curve. The sensitivity and specificity were shown

Relationship of plasma vWF activity with clinical factors in patients with heart failure and atrial fibrillation after anticoagulation therapy

As shown in Table 3, patients with different vWF activities were not significantly different in sex, age, coronary heart disease, hypertension, and cardiac function classification as well as BNP and D-DI concentrations (P > 0.05). However, they showed significant differences in diabetes, myocardial ischemia, old myocardial infarction, and, atherosclerosis of the lower extremities (P < 0.05).

Table 3 Relationship of plasma vWF activity with clinical factors in patients with heart failure and atrial fibrillation after anticoagulation therapy

Regression analysis of vWF activity and clinical factors

The clinical factors with significant differences were used as independent variables to conduct a binary regression analysis. The relationship between vWF and various clinical factors was analyzed. The results showed that vWF activity was significantly related to lower extremity atherosclerosis and old myocardial infarction (P < 0.05), but not significantly related to diabetes and myocardial ischemia (P > 0.05) (Table 4).

Table 4 Binary regression analysis of vWF activity and clinical factors

Regression analysis of vWF activity in predicting venous thrombosis during anticoagulation treatment in patients with chronic heart failure and atrial fibrillation

Using the cut-off value of vWF activity (267.5%) as the independent variable, and thrombosis occurrence as the dependent variable, logistic binary regression analysis was performed to evaluate the risk of vWF activity on the occurrence of lower extremity venous thrombosis in patients with chronic heart failure and atrial fibrillation during anticoagulation therapy. The results showed that the risk of lower limb venous thrombosis in patients with vWF activity greater than 267.5% was 10.667 times that of vWF activity less than 267.5% (P < 0.05) (Table 5).

Table 5 Regression analysis of vWF activity in predicting venous thrombosis during anticoagulation treatment in patients with chronic heart failure and atrial fibrillation

Discussion

Chronic heart failure and atrial fibrillation are independent risk factors for thrombosis, and the incidence of thrombotic events in patients with heart failure and atrial fibrillation is higher [28, 29]. Thrombosis is closely related to the survival rate and prognosis of patients with heart failure. Therefore, actively preventing thrombosis can help improve the survival rate and quality of life of patients with heart failure. Antithrombotic and anticoagulant therapy has been the consensus for effective prevention of thrombosis in patients with atrial fibrillation. However, currently, anticoagulant therapy for patients with atrial fibrillation and patients with atrial fibrillation combined with other cardiovascular diseases is seriously insufficient [30, 31]. Meanwhile, patients receiving anticoagulation therapy have different anticoagulation effects due to differences in liver and kidney function, age, course of disease, underlying etiology, and dosage of medications [32,33,34]. Therefore, effective identification and timely diagnosis of thrombosis in patients receiving anticoagulation therapy is particularly important.

In this study, 19 of the 126 patients with heart failure and atrial fibrillation who received anticoagulation therapy had lower extremity venous thrombosis. Among them, 1 case had lower extremity deep venous thrombosis, but most of them had lower extremity intermuscular venous thrombosis. The incidence of venous thrombosis was 15.08%. This rate was higher than that reported by Zhang et al. (4.69%) [34], but lower than that reported by Wu et al. (25%) [35]. The first possible reason may be the different follow-up time. The follow-up time of this study was 1 year, in the study by Zhang et al. was 3 months [34], and, in the report by Wu et al. [35] was 9 months. The second possible reason may be the age differences in the study subjects. Age is a risk factor for many diseases, including heart failure and atrial fibrillation [35].

The vWF is a marker of damaged vascular endothelial cells and its activity is directly proportional to the degree of damage [36]. The activity of vWF is affected by a variety of clinical factors, including heart failure, myocardial infarction, coronary heart disease, hypertension, diabetes, vascular diseases, blood diseases, tumors and infections [37,38,39,40,41]. For example, the drug carvedilol is reported to significantly reduce vWF activity [42]. This study found that vWF activity was related to diabetes, myocardial ischemia, old myocardial infarction, lower extremity atherosclerosis, and had a positive regression relationship with lower extremity atherosclerosis and old myocardial infarction. This suggests that in patients with heart failure and atrial fibrillation, vascular damage may still be the main factor leading to lower extremity venous thrombosis during the period of anticoagulation therapy.

Rivarxaban and apixaban are direct FXa inhibitors. Previous study has shown that rivaroxaban can protect and repair endothelial cells [43]. It is worth discussing whether rivarxaban or apixaban can affect vWF activity and thereby affect blood coagulation. In our study, we found no significant difference in vWF activity between patients taking warfarin and those taking new oral anticoagulants. Consistently, Schultz et al. studied the effect of new anticoagulants on vWF activity and antigen during the treatment of patients with venous thrombosis and found that rivaroxaban had no significant effect on vWF antigen and activity [44]. In the comparative study of the effects of apixaban and warfarin on coagulation markers in patients with atrial fibrillation, it was confirmed that there was no significant difference in the vWF antigen levels at 2 months between the apixaban and warfarin groups [45]. Although rivaroxaban has protective and repair effects on endothelial cells, the relationship between these repair effects and plasma vWF activity have not been observed. Therefore, further studies are needed to explore the effects of warfarin or direct FXa inhibitors on endothelial cell function and vWF activity.

The predictive value of vWF in cardiovascular and thrombotic diseases has gradually been confirmed [46,47,48]. Wang et al. reported that the plasma vWF activity of patients in thrombotic disease group was higher than that in non-thrombotic group, and its specificity and sensitivity for predicting thrombotic disease were 78.85% and 76.19%, respectively [49]. In the present study, the ROC analysis showed that the specificity and sensitivity of vWF for predicting lower extremity venous thrombosis in patients with heart failure and atrial fibrillation were 63.6% and 80.0%, respectively. The reason for the low specificity may be that both heart failure and atrial fibrillation are high-risk factors of thrombosis, and the vWF activity in such patients is generally increased. These findings suggest that vWF has a certain ability to predict venous thrombosis in patients with heart failure and atrial fibrillation during the period of anticoagulation therapy.

Chronic heart failure is the terminal stage of cardiovascular disease, which is combined with many basic diseases and is with more complicated conditions. Clinical study has confirmed that the incidence of thrombosis in elderly patients with atrial fibrillation and heart failure after anticoagulation therapy was significantly lower than that of untreated patients [50]. Patients with heart failure and atrial fibrillation should be given anticoagulation therapy according to their thrombus score when they are without contraindications to anticoagulation. However, recommendations for anticoagulation therapy for patients with heart failure and atrial fibrillation are currently not available. Therefore, further studies are needed. This study found that 15.08% of patients with chronic heart failure and atrial fibrillation had lower extremity venous thrombosis under the condition of anticoagulation therapy, suggesting that anticoagulation therapy cannot reverse the coagulation disorder that has occurred, and that there may be also insufficient anticoagulant therapy and monitoring for this type of patient.

This study has some limitations. First, the number of patients was small. Second, blood type was not measured. Patients with blood type O have lower circulating VWF levels, which may affect the results. Third, no scheduled follow-up was scheduled. Further studies are warranted.

Conclusion

In summary, we demonstrate that the vWF activity greater than 267.5% has clinical predictive value for the risk of lower extremity venous thrombosis in patients with chronic heart failure complicated with atrial fibrillation within 1 year of anticoagulant therapy. Our findings suggest that vWF may help to indicate the occurrence of venous thrombosis in patients with heart failure and atrial fibrillation.

Data Availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

vWF:

Von Willebrand factor

BNP:

B-type natriuretic peptide

D-DI:

D-dimer

References

  1. Ambrosio G, Camm AJ, Bassand JP, et al. Characteristics, treatment, and outcomes of newly diagnosed atrial fibrillation patients with heart failure: GARFIELD-AF. ESC Heart Fail. 2021;8(2):1139–49. https://doi.org/10.1002/ehf2.13156.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Pang Z, Yao Z, Tian L, Pan C. A comparative study on the efficacy of rivaroxaban and warfarin in patients with heart failure and atrial fibrillation aged > 75 years. Chin J Geriatric Heart Brain Vessel Dis. 2018;20(11):1153–6. https://doi.org/10.3969/j.issn.1009-0126.2018.11.008.

    Article  Google Scholar 

  3. Komajda M, Anker SD, Cowie MR, et al. Physicians’ adherence to guideline-recommended medications in heart failure with reduced ejection fraction: data from the QUALIFY global survey. Eur J Heart Fail. 2016;18(5):514–22. https://doi.org/10.1002/ejhf.510.

    Article  CAS  PubMed  Google Scholar 

  4. Farmakis D, Chrysohoou C, Giamouzis G, et al. The management of atrial fibrillation in heart failure: an expert panel consensus. Heart Fail Rev. 2021;26(6):1345–58. https://doi.org/10.1007/s10741-020-09978-0.

    Article  PubMed  Google Scholar 

  5. Stafylas P, Farmakis D, Kourlaba G, et al. The heart failure pandemic: the clinical and economic burden in Greece. Int J Cardiol. 2017;227:923–9. https://doi.org/10.1016/j.ijcard.2016.10.042.

    Article  CAS  PubMed  Google Scholar 

  6. Gao W, Ma Y, Zhong S. Evaluation of the effect of rosuvastatin in the treatment of elderly patients with chronic heart failure with atrial fibrillation. Front Med. 2020;10(7):81–2.

    Google Scholar 

  7. Chung S, Kim TH, Uhm JS, et al. Stroke and systemic embolism and other adverse outcomes of heart failure with preserved and reduced ejection fraction in patients with Atrial Fibrillation (from the COmparison study of drugs for symptom control and complication prEvention of Atrial Fibrillation [CODE-AF]). Am J Cardiol. 2020;125(1):68–75. https://doi.org/10.1016/j.amjcard.2019.09.035.

    Article  PubMed  Google Scholar 

  8. Uhm JS, Kim J, Yu HT, et al. Stroke and systemic embolism in patients with atrial fibrillation and heart failure according to heart failure type. ESC Heart Fail. 2021;8(2):1582–9. https://doi.org/10.1002/ehf2.13264.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Zhao L, Wang WYS, Yang X. Anticoagulation in atrial fibrillation with heart failure. Heart Fail Rev. 2018;23(4):563–71. https://doi.org/10.1007/s10741-018-9693-0.

    Article  CAS  PubMed  Google Scholar 

  10. Mentias A, Briasoulis A, Shantha G, Alvarez P, Vaughan-Sarrazin M. Impact of heart failure type on thromboembolic and bleeding risk in patients with atrial fibrillation on oral anticoagulation. Am J Cardiol. 2019;123(10):1649–53. https://doi.org/10.1016/j.amjcard.2019.02.027.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Hernandez AF, Liang L, Fonarow GC, et al. Associations between anticoagulation therapy and risks of mortality and readmission among patients with heart failure and atrial fibrillation. Circ Cardiovasc Qual Outcomes. 2014;7(5):670–9. https://doi.org/10.1161/circoutcomes.113.000632.

    Article  PubMed  Google Scholar 

  12. Ferguson C, Inglis SC, Newton PJ, et al. Barriers and enablers to adherence to anticoagulation in heart failure with atrial fibrillation: patient and provider perspectives. J Clin Nurs. 2017;26(23–24):4325–34. https://doi.org/10.1111/jocn.13759.

    Article  PubMed  Google Scholar 

  13. Neubauer K, Zieger B. Endothelial cells and coagulation. Cell Tissue Res. 2022;387(3):391–8. https://doi.org/10.1007/s00441-021-03471-2.

    Article  CAS  PubMed  Google Scholar 

  14. Henke P. Endothelial cell-mediated venous thrombosis. Blood. 2022;140(13):1459–60. https://doi.org/10.1182/blood.2022017938.

    Article  CAS  PubMed  Google Scholar 

  15. Poredos P, Jezovnik MK. Endothelial dysfunction and venous thrombosis. Angiology. 2018;69(7):564–7. https://doi.org/10.1177/0003319717732238.

    Article  PubMed  Google Scholar 

  16. Pilard M, Ollivier EL, Gourdou-Latyszenok V, Couturaud F, Lemarie CA. Endothelial cell phenotype, a major determinant of venous thrombo-inflammation. Front Cardiovasc Med. 2022;9:864735. https://doi.org/10.3389/fcvm.2022.864735.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Zapponi KCS, Orsi FA, Cunha JLR, et al. Neutrophil activation and circulating neutrophil extracellular traps are increased in venous thromboembolism patients for at least one year after the clinical event. J Thromb Thrombolysis. 2022;53(1):30–42. https://doi.org/10.1007/s11239-021-02526-z.

    Article  CAS  PubMed  Google Scholar 

  18. Xu X, Wu Y, Xu S, et al. Clinical significance of neutrophil extracellular traps biomarkers in thrombosis. Thromb J. 2022;20(1):63. https://doi.org/10.1186/s12959-022-00421-y.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Theofilis P, Sagris M, Oikonomou E, et al. Inflammatory mechanisms contributing to endothelial dysfunction. Biomedicines. 2021;9(7). https://doi.org/10.3390/biomedicines9070781.

  20. Avdonin PP, Tsvetaeva NV, Goncharov NV, et al. Von Willebrand factor in Health and Disease. Biochemistry (Moscow). Supplement Ser A: Membrane Cell Biology. 2021;15(3):201–18. https://doi.org/10.1134/S1990747821040036.

    Article  CAS  Google Scholar 

  21. Chang JC. Disseminated intravascular coagulation: new identity as endotheliopathy-associated vascular microthrombotic disease based on in vivo hemostasis and endothelial molecular pathogenesis. Thromb J. 2020;18:25. https://doi.org/10.1186/s12959-020-00231-0.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Pagliari MT, Boscarino M, Cairo A, et al. ADAMTS13 activity, high VWF and FVIII levels in the pathogenesis of deep vein thrombosis. Thromb Res. 2021;197:132–7. https://doi.org/10.1016/j.thromres.2020.10.037.

    Article  CAS  PubMed  Google Scholar 

  23. Ancedy Y, Berthelot E, Lang S, et al. Is von Willebrand factor associated with stroke and death at mid-term in patients with non-valvular atrial fibrillation? Arch Cardiovasc Dis. 2018;111(5):357–69. https://doi.org/10.1016/j.acvd.2017.08.004.

    Article  PubMed  Google Scholar 

  24. Ye YZ, Chang YF, Wang BZ, Ma YT, Ma X. Prognostic value of von Willebrand factor for patients with atrial fibrillation: a meta-analysis of prospective cohort studies. Postgrad Med J. 2020;96(1135):267–76. https://doi.org/10.1136/postgradmedj-2019-136842.

    Article  PubMed  Google Scholar 

  25. Wysokinski WE, Melduni RM, Ammash NM, et al. Von Willebrand factor and ADAMTS13 as predictors of adverse outcomes in patients with Nonvalvular Atrial Fibrillation. CJC Open. 2021;3(3):318–26. https://doi.org/10.1016/j.cjco.2020.10.018.

    Article  PubMed  Google Scholar 

  26. Song J, DiliNuer W, Wang C. Correlation between von Willebrand factor rs216311 gene polymorphism and chronic heart failure complicated by venous thrombosis. J Clin Hematol. 2021;34(8):586–92. https://doi.org/10.13201/j.issn.1004-2806.2021.08.015.

    Article  CAS  Google Scholar 

  27. Yang B. Research progress of anticoagulation in atrial fibrillation. J Clin Intern Med. 2020;37(12):823–5. https://doi.org/10.3969/j.issn.1001-9057.2020.12.001.

    Article  Google Scholar 

  28. Liu H, Song J, Wang C. A comparative study on the incidence of venous thrombosis in patients with heart failure and heart failure with atrial fibrillation. Xinjiang Med. 2018;48(7):694–7. doi: CNKI:SUN:XJYI.0.2018-07-002.

    Google Scholar 

  29. Zhou L, Gao Z. Analysis of coagulation indexes, biochemical indexes and venous thrombosis in patients with heart failure complicated with atrial fibrillation. J Practical Clin Med. 2020;24(18):50–3. https://doi.org/10.7619/jcmp.202018014.

    Article  CAS  Google Scholar 

  30. Xia Z, Lu K, Chen X. Investigation on antithrombotic status of elderly patients with non-valvular atrial fibrillation in secondary and tertiary hospitals in Chongqing. J Third Military Med Univ. 2021;43(4):347–53.

    Google Scholar 

  31. Dong M, Zou T, Li Y, et al. Status of antithrombotic therapy and analysis of thromboembolic events in patients with atrial fibrillation complicated by coronary heart disease. Chin J Circulation. 2018;33(9):856–60. https://doi.org/10.3969/j.issn.1000-3614.2018.09.007.

    Article  Google Scholar 

  32. Li L, Qian X, Yan C, et al. Analysis of the causes of left atrial appendage thrombosis in patients with atrial fibrillation during anticoagulation therapy with dabigatran. Drug Evaluation and Analysis in Chinese Hospitals. 2020;20(3):381–4. https://doi.org/10.14009/j.issn.1672-2124.2020.03.032.

    Article  Google Scholar 

  33. Xie H, Han P, Zheng C, et al. Analysis and recommendations of antithrombotics in patients with single-center non-valvular atrial fibrillation. Chin Gen Med. 2021;24(14):1758–63. https://doi.org/10.12114/j.issn.1007-9572.2021.00.157.

    Article  Google Scholar 

  34. Zhang B, Zhang Z, Ren J, Li Y, Men J. Study on vW factor combined with D-dimer to predict the risk of thrombosis in patients with non-valvular atrial fibrillation after anticoagulation therapy. Chin J Lab Med. 2020;43(10):1014–20. https://doi.org/10.3760/cma.j.cn114452-20200408-00372.

    Article  Google Scholar 

  35. Wu Q. Study on the efficacy and safety of rivaroxaban in the prevention and treatment of thrombotic diseases in elderly patients with atrial fibrillation. Electron J Cardiovasc Dis Integr Traditional Chin Western Med. 2019;7(24):7680. doi: CNKI:SUN:ZXJH.0.2019-24-055.

    Google Scholar 

  36. Zietek Z. Endothelial markers: Thrombomodulin and Von Willebrand factor and risk of kidney thrombosis after transplantation. Transpl Proc. 2021;53(5):1562–9. https://doi.org/10.1016/j.transproceed.2021.03.011.

    Article  CAS  Google Scholar 

  37. Yang J, Lu Y, Lou X, et al. Von Willebrand factor Deficiency improves hepatic steatosis, insulin resistance, and inflammation in mice Fed High-Fat Diet. Obes (Silver Spring). 2020;28(4):756–64. https://doi.org/10.1002/oby.22744.

    Article  CAS  Google Scholar 

  38. Groeneveld DJ, Poole LG, Luyendyk JP. Targeting von Willebrand factor in liver diseases: a novel therapeutic strategy? J Thromb Haemost. 2021;19(6):1390–408. https://doi.org/10.1111/jth.15312.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Peng X, Wang X, Fan M, et al. Plasma levels of von Willebrand factor in type 2 diabetes patients with and without cardiovascular diseases: a meta-analysis. Diabetes Metab Res Rev. 2020;36(1):e3193. https://doi.org/10.1002/dmrr.3193.

    Article  CAS  PubMed  Google Scholar 

  40. Fan M, Wang X, Peng X, et al. Prognostic value of plasma von willebrand factor levels in major adverse cardiovascular events: a systematic review and meta-analysis. BMC Cardiovasc Disord. 2020;20(1):72. https://doi.org/10.1186/s12872-020-01375-7.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Setiawan B, Permatadewi CO, de Samakto B, et al. Von Willebrand factor:antigen and ADAMTS-13 level, but not soluble P-selectin, are risk factors for the first asymptomatic deep vein thrombosis in cancer patients undergoing chemotherapy. Thromb J. 2020;18(1):33. https://doi.org/10.1186/s12959-020-00247-6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Jachs M, Hartl L, Simbrunner B, et al. Decreasing von Willebrand factor levels upon nonselective Beta blocker therapy indicate a decreased risk of further decompensation, Acute-on-chronic liver failure, and death. Clin Gastroenterol Hepatol. 2022;20(6):1362–73e6. https://doi.org/10.1016/j.cgh.2021.07.012.

    Article  CAS  PubMed  Google Scholar 

  43. Alvarez E, Paradela-Dobarro B, Raposeiras-Roubin S, Gonzalez-Juanatey JR. Protective, repairing and fibrinolytic effects of rivaroxaban on vascular endothelium. Br J Clin Pharmacol. 2018;84(2):280–91. https://doi.org/10.1111/bcp.13440.

    Article  CAS  PubMed  Google Scholar 

  44. Schultz NH, Holme PA, Bjornsen S, et al. The impact of rivaroxaban on primary hemostasis in patients with venous thrombosis. Platelets. 2020;31(1):43–7. https://doi.org/10.1080/09537104.2018.1557618.

    Article  CAS  PubMed  Google Scholar 

  45. Christersson C, Wallentin L, Andersson U, et al. Effect of apixaban compared with warfarin on coagulation markers in atrial fibrillation. Heart. 2019;105(3):235–42. https://doi.org/10.1136/heartjnl-2018-313351.

    Article  CAS  PubMed  Google Scholar 

  46. Rajpal S, Ahluwalia J, Kumar N, Malhotra P, Uppal V. Elevated Von Willebrand factor Antigen levels are an independent risk factor for venous thromboembolism: First Report from North India. Indian J Hematol Blood Transfus. 2019;35(3):489–95. https://doi.org/10.1007/s12288-019-01092-y.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Smadja DM, Goudot G, Gendron N, et al. Von Willebrand factor multimers during non-invasive ultrasound therapy for aortic valve stenosis. Angiogenesis. 2021;24(4):715–7. https://doi.org/10.1007/s10456-021-09803-8.

    Article  PubMed  Google Scholar 

  48. Michels A, Lillicrap D, Yacob M. Role of von Willebrand factor in venous thromboembolic disease. JVS Vasc Sci. 2022;3:17–29. https://doi.org/10.1016/j.jvssci.2021.08.002.

    Article  PubMed  Google Scholar 

  49. Wang Y, Xia M, Xia Y. The clinical diagnostic value of combined detection of plasma vWF, D-dimer levels and peripheral blood neutrophil/lymphocyte ratio in thrombotic diseases. Mod Lab Med. 2019;34(6):86–9. https://doi.org/10.3969/j.issn.1671-7414.2019.06.021.

    Article  Google Scholar 

  50. Wang Y. Dilemma and challenges of anticoagulation therapy for atrial fibrillation. Chin J Arrhythmia. 2020;24(4):345–7. https://doi.org/10.3760/cma.j.cn.113859-20200617-00142.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This study was supported by the Natural Science Foundation of Xinjiang Autonomous Region (Grant no: 2017D01C140).

Author information

Authors and Affiliations

Authors

Contributions

Guohong Huang designed the study. Jinping Song and Yuan Liu collected and analyzed the data. Jinping Song wrote the paper. Guohong Huang collected the funds and revised the paper. All authors have read and approved the paper.

Corresponding author

Correspondence to Guohong Huang.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the Ethics Committee of People’s Hospital of Xinjiang Uygur Autonomous Region. All methods were performed in accordance with the Declaration of Helsinki. All subjects signed the written informed consent.

Consent for publication

Not applicable.

Competing Interest

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Song, J., Liu, Y. & Huang, G. Predictive value of von Willebrand factor for venous thrombosis in patients with chronic heart failure complicated with atrial fibrillation after anticoagulant therapy. BMC Cardiovasc Disord 23, 349 (2023). https://doi.org/10.1186/s12872-023-03167-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12872-023-03167-1

Keywords