ISSN: 2451-0637
Archives of Medical Science - Civilization Diseases
Current volume Archive About the journal Abstracting and indexing Contact Instructions for authors Ethical standards and procedures
vol. 6
Clinical research

Association of von Willebrand factor Ag-to-ADAMTS13 ratio with early sepsis-related mortality

Alaa Efat
Sabry Shoeib
Ayman Arafa
Ashraf Dawod
Saleh Saleh
Mohamed Abdelhafez

Department of Internal Medicine, Hematology Unit, Faculty of Medicine, Menoufia University, Menoufia, Egypt
Department of Internal Medicine, Hematology Unit, Faculty of Medicine, Zagazig, Egypt
Departement of Biochemistry, Faculty of Medicine, Menoufia University, Menoufia, Egypt
Arch Med Sci Civil Dis 2021; 6: e117–e124
Online publish date: 2021/09/20
Article file
Get citation
JabRef, Mendeley
Papers, Reference Manager, RefWorks, Zotero


Sepsis has been redefined as a life-threatening organ dysfunction caused by dysregulated host response to infection [1].
The incidence of sepsis is 270 cases per 100,000 persons yearly, with an acute mortality rate of 26.0%. A number of factors suggest thatr even this underestimates the magnitude of sepsis [2].
Sepsis cases represent either a new organ dysfunction or worsening of chronic organ dysfunction [3].
Alongside this underestimated incidence globally, the short-term mortality from sepsis is improving. This epidemiology pattern generates approximately 14 million sepsis survivors globally, increasing yearly, with ongoing health care needs [4].
The sepsis response is triggered by an invading pathogen, (bacterial, viral, fungal, etc.), or a pathogen-produced substance, such as endotoxin, called a pathogen-associated molecular pattern. These bind to pattern recognition receptors (PRRs) present on macrophages, and polymorphonuclear and endothelial cells to initiate the release of proinflammatory mediators that cause endothelial cell dysfunction [5].
Von Willebrand factor (vWF) is involved in this process by mediating platelet adhesion and aggregation at sites of vascular injury. It is released from the stimulated endothelium to form hyperactive and ultralarge von Willebrand factor (UL-vWF). vWF functions differently depending on its multimeric size and adhesive properties, which are regulated by a protease, disintegrin and metalloprotease with a thrombospondin type 1 motif, member 13 (ADAMTS 13) [6].
Early diagnosis of sepsis is one of the most important elements of effective treatment, and the availability of accurate sepsis biomarkers to facilitate diagnosis could be of use to enable timely appropriate treatment to be started, thus optimizing a patient’s chances of survival [7].
Many co-morbidities, age, and chronic diseases are risk factors both for sepsis and for impaired quality of life; also, poor functional status is a risk factor for becoming critically ill as well as a frequent consequence thereof. Therefore, it is important to distinguish studies that have tried to separate out the potential causal effects of sepsis from those that simply describe morbidity and mortality events [8].
The present study was designed to identify the association of the vWF Ag-to-ADAMTS13 ratio with early sepsis-related mortality.

Material and methods

This single-centre prospective cohort study was carried out at the intensive care unit (ICU) of Menoufia University Hospitals from December 2019 to November 2020. A cohort of sequentially selected 70 adults with sepsis were included. Sepsis was diagnosed according to sepsis 3 criteria.


Pregnant females, patients < 18 years old, patients with chronic liver disease (CLD), patients with chronic kidney disease (CKD), patients with chronic cardiopulmonary disease, patients with autoimmune diseases or blood disorders, and patients with recent (antecedent 2 weeks) anticoagulant, antiplatelet, or anti-inflammatory therapy were excluded.
Seventy adult patients diagnosed as having sepsis were then classified into 2 groups (A and B) based on their survival within 7 days of hospital admission: Group (A) – survivors; Group (B) – non-survivors.

Ethical considerations

The study protocol was submitted for approval by the Institutional Research Board (IRB) of the Faculty of Medicine, Menofia University. Informed consent was obtained from the hospital authorities. Informed verbal consent was obtained from each participant in the study. Confidentiality and personal privacy was respected in all levels of the study. Collected data are not to be used for any other purpose.


At presentation (day 1 of ICU admission) all patients were subjected to routine initial work up:
1. Comprehensive history taking, included age, sex, family history, and any other medical or surgical history.
2. Clinical evaluation: included general complete examination and estimation of quick Sequential Organ Failure Assessment (qSOFA) score of 3 points, which comprises altered mentation (Glasgow Coma Scale – GCS < 15), systolic blood pressure (≤ 100 mm Hg), and respiratory rate (≥ 22 breaths/min) was used primarily to select patients.
3. SOFA scoring then was done for all enrolled patients.
4. Routine investigation including the following: routine laboratory tests including complete blood count (CBC), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), serum creatinine, random plasma glucose, liver enzymes, blood culture, and urine analysis.
5. Plasma level estimation of vWF Ag and ADAMTS 13.

Statistical analysis

Data input and analysis was done using the software Statistical Package for the Social Sciences (SPSS) version 24. All results were expressed as mean ± standard deviation. Mean values of the different groups were compared using one-way analysis of variance. Least significant difference (LSD) post hoc analysis was used to identify significantly different mean values. P < 0.01 was accepted to denote a highly significant difference.


The mean age of included patients was 60.98 ±7.47 years, 60% of them were male, and 40% female. Pulmonary primary site of infection was found in 44% of patients, while 2.9% of them had gastrointestinal (GIT) infection. Diabetes was reported in 48.6% of patients, while 18.6% of them had cerebrovascular disease. 41.4% of patients needed mechanical ventilation. Mean heart rate, respiratory rate, and temperature were 57 ±9.10 bpm, 22.82 ±2.57 bpm, and 38.49° ±0.69°, respectively. Mean SOFA score was 7.93 ±3.06. Other laboratory results (mean values) were as follows: activated partial thromboplastin time (aPTT) 35.87 ±6.70 s, CRP 65.19 ±17.16 mg/l, ESR 75.74 ±14.98 ml/s, creatinine 1.86 ±0.43 mg/dl, aspartate aminotranspherase (AST) 69.74 ±16.81 U/ml, alanine aminotranspherase (ALT) 73.90 ±16.57 U/l, white blood cells count (WBC) 19.42 ±4.40 × 1000/mm3, platelet 108.56 ±34.61, hemoglobin (Hb) 10.74 ±0.46 gm/dl, and total bilirubin 1.95 ±0.69 mg/dl. Mean biomarker values were as follows: vWF Ag 3231.7 ±689.5 ng/l, ADAMTS 13 213.1 ±65.6 ng/l, and vWF/ADAMTS13 ratio 18.6 ±13.9 ng/l (Table I).
In the studied patients, non-survival was highly significantly associated with lung infection (p < 0.01). Regarding clinical data, non-survival was highly significantly associated with higher respiratory rate and frequency of using ventilator than among the survivors group (p < 0.01). SOFA score was significantly higher in non-survivor cases than among survivors (p < 0.01). Other laboratory investigations such as APTT, CRP, and WBC are highly significantly higher in non-survivor cases than among survivors (p < 0.01). On the other hand, platelet counts were significantly lower in non-survivor cases than among survivors (p < 0.01). The vWF Ag and vWF/ADAMTS13 ratio were significantly higher in non-survivor cases than survivors (p < 0.01). ADAMTS 13 was highly significantly lower in non-survivor cases than among survivors (p < 0.01) (Table II).
SOFA score ≥ 8 had sensitivity 96% and specificity100%. APTT ≥ 38 s had sensitivity 64% and specificity 95.6%. CRP at a cut-off level of > 65 had sensitivity 80% and specificity 80%. WBCs ≥ 19000.4 cells/µl reported sensitivity 80% and specificity 97.8%. Platelets ≤ 105000 cells/µl reported sensitivity 100% and specificity 95.6%. vWF Ag at a cut-off level of ≥ 3560 ng/l had sensitivity 76% and specificity 88.9%. ADAMTS at a cut-off level of ≤ 210 ng/l had sensitivity 84% and specificity 68.9%. VWF/ADAMTS at a cut-off level of ratio ≥ 17 had sensitivity 80 % and specificity 84.4 % (Table III).
There was a statistically highly significantly positive correlation between SOFA score and each of vWF Ag, vWF/ADAMTS13 ratio, respiratory rate, and laboratory investigations (APTT, CRP, WBC) (p ≤ 0.01). On the other hand, there was a statistically highly significant negative correlation between SOFA score and both ADAMTS 13 platelet level (p ≤ 0.01) (Table IV).
There was a highly significant positive correlation between vWF Ag and vWF/ADAMTS 13 ratio and respiratory rate, APTT, CRP, and WBC. Also, there was a significant positive correlation between biomarker ADAMTS 13 and platelet level (p < 0.001). There was a significant negative correlation between biomarkers vWF Ag and vWF/ADAMTS 13 ratio and platelet level (p < 0.001). Also, there was a statistically highly significant negative correlation between ADAMTS 13 and respiratory rate, APTT, CRP, and WBC (p < 0.001) (Table V).
There was a statistically highly significant positive correlation between non-survival and use of a ventilator, levels of vWF, vWF/ADAMTS 13 ratio, SOFA score, and laboratory results of CRP and WBC (r +ve, p ≤ 0.01). On the other hand, there was a statistically highly significant negative correlation between non-survival and ADAMTS 13 and platelet level (r -ve, p ≤ 0.01). The odds ratio represents the ratio of incidence of the variable between non-survivor cases and survivor cases (Table VI).


The main aim of this study is to detect the possible association between the baseline of the vWF Ag-to-ADAMTS 13 ratio and early (7 days) sepsis-related mortality in addition to detection of correlation between the baseline of the vWF Ag-to-ADAMTS 13 ratio and other clinico-laboratory variables in non-survivors in a cohort of Egyptian adults with sepsis.
Within the studied patients, non-survival was highly significantly associated with lung infection (p < 0.01). Regarding clinical data, non-survival was highly significantly associated with higher RR and frequency of using a ventilator than among survivors (p < 0.01). VWF Ag and vWF/ADAMTS 13 ratio were significantly higher in non-survivor cases than in survivors (p < 0.01). ADAMTS 13 was highly significantly lower in non-survivor cases than survivors (p < 0.01). Other laboratory investigations such as CRP and WBC were significantly higher in non-survivor cases than among survivors (p < 0.01). On the other hand, the platelet count was highly significantly lower in non-survivor cases than among survivors (p < 0.01).
A physiological immune response eradicates pathogens by a complex process with generation of proinflammatory and anti-inflammatory cytokines. Inappropriate regulation of these normal reactions in sepsis can become generalized and deleterious [9].
Multiple organ dysfunction syndrome (MODS) and refractory shock are the main causes of death [10]. Impaired neutrophil migration to the infectious focus combined with an inappropriate sequestration of these cells in secondary organs, together with endothelial dysfunction, may exaggerate that [11].
Our results agreed with results obtained with Caraballo et al. [10], who reported a significantly higher percentage of mechanical ventilation in non-survivors than survivors, and this may indicate an increase in sepsis severity.
VWF:Ag remained independently associated with in-hospital mortality after adjustment for inflammatory biomarkers, which supports the hypothesis of additional causes of vWF secretion by endothelial cells (ECs). Indeed, endothelium is emerging as a key target organ of SARS infection [12].
South et al. [13] concluded that an imbalance in the vWF/ADAMTS 13 axis causing increased vWF reactivity may contribute to the formation of platelet-rich thrombi in the pulmonary vasculature through immune and inflammatory responses.
It is possible that increased levels of vWF can bind and clear ADAMTS 13 from circulation due to differences in their circulating half-lives [14]. Consistent with this hypothesis, caecal ligation and puncture (CLP)-induced sepsis resulted in an increase in vWF secretion and a decrease in ADAMTS 13 [15].
There are potential consequences of reduced ADAMTS 13 activity and elevated vWF levels. ADAMTS 13 and vWF levels did not normalize in survivors at discharge. The prolonged imbalance in vWF and ADAMTS 13 may contribute to the microvascular thrombosis, ischaemic stroke, and organ damage observed in some patients who survive sepsis [16].
In the current study, white blood cell count and CRP were high; these results agreed with results obtained with Caraballo et al. [10], in which it was observed that WBCs and CRP increased in patients with sepsis. It is also in agreement with Shoeib et al., 2020 [17].
Another study [18] demonstrated that aPTT has a sensitivity of 22–55% at admission and 48–74% during intensive care unit (ICU) stay for predicting the diagnosis of sepsis among patients admitted to the surgical ICU, whereas the specificity varied between 92% and 98% at admission and between 81% and 94% during ICU stay. Also, Katoch et al. showed that aPTT has very good specificity of 100% and reasonable sensitivity of 55.56% for maternal sepsis at a cut-off value of 38.65 s [19].
Benediktsson et al. [20] studied the relationship between international normalized ratio (INR) and APTT and hospital mortality among 647 patients with sepsis, and suggested that raised INR and aPTT prolongation were both related to increased mortality. Also, in another study [21], prolonged aPTT was a strong predictor of mortality in a prospective cohort of 39 patients with septic shock upon ICU admission, which was different from our results. This may be due to inadequate samples with low aPTT.
Sepsis also increases fibrinolysis inhibitors like plasminogen activator inhibitor-1 (PAI-1) and triggers hypofibrinolysis. Overall, all hazardous coagulation factors may result in a change in aPTT and INR. They could also lead to endothelial microparticle diffusion and at least partially stimulate mortal conditions like disseminated intravascular coagulation (DIC), microcirculatory deterioration, and multifarious organ failure [22].
CRP, as we know, is the most used practically marker for sepsis. Orati et al. [23] reported that patients with abdominal sepsis had significantly higher serum CRP levels and positive correlation between CRP level and severity of sepsis.
Peetermans et al. [24] observed that a decrease in platelet count in parallel with end-organ microthrombosis is consistent with the human phenotype of sepsis-associated thrombocytopaenia and disseminated intravascular coagulation.
In the present study, the SOFA score was significantly higher in non-survivor cases than in survivors (p < 0.01).
Freund et al. [25] performed an international prospective cohort study and compared the old and new sepsis criteria, and they found that the accuracy of the SOFA criteria was higher than both the systemic inflammatory response syndrome (SIRS) criteria- and the severe sepsis criteria-based tests in predicting in-hospital mortality.
Toker et al. [26] concluded that the SOFA score had a high sensitivity and negative prediction in the diagnosis of sepsis in the emergency department; on the other hand, it was a good predictor of in-hospital sepsis-related mortality estimations.
Gaini et al. [27] found SOFA to be a better prognostic tool for predicting mortality and organ failure than quick SOFA and SIRS among sepsis patients admitted to the ICU. Other studies in other settings, including the emergency department [26], and a multicentre study from low- and middle-income countries (LMICs) [28], also found SOFA to be the best scoring system for predicting mortality. Similar findings were also observed in 2 more systematic reviews and meta-analyses [29].
In conclusion, high levels of vWF/Ag and vWF/Ag/ADAMTS 13 ratio on day 1 of admission are associated with increased early (7 days) sepsis-related hospital mortality. On the other hand, low ADAMTS 13 levels on day 1 of admission are associated with early (7 days) sepsis-related hospital mortality. Thus, vWF/Ag, ADAMTS 13 and vWF/Ag/ADAMTS13 ratios may be useful biomarkers for predicting the prognosis in patients with sepsis.

Conflict of interest

The authors declare no conflict of interest.
1. Shankar-Hari M, Ambler M, Mahalingasivam V, Jones A, Rowan K, Rubenfeld GD. Evidence for a causal link between sepsis and long-term mortality: a systematic review of epidemiologic studies. Crit Care 2016; 20: 101.
2. Strandberg G, Walther S, Agvald Öhman C, Lipcsey M. Mortality after severe sepsis and septic shock in Swedish intensive care units 2008-2016 – a nationwide observational study. Acta Anaesthesiol Scand 2020; 64: 967-75.
3. Singer M, Deutschman CS, Seymour CW, et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) Mervyn. Acta Medica Okayama 2016; 315: 801-10.
4. Prescott HC, Langa KM, Liu V, Escobar GJ, Iwashyna TJ. Increased 1-year healthcare use in survivors of severe sepsis. Am J Respir Crit Care Med 2014; 190: 62-9.
5. Raymond S, Holden DC, Mira JC, Stortz JA, Loftus J, Mohr AM. Microbial recognition and danger signals in sepsis and trauma. Biochim Biophys Acta 2017; 1863: 2564-73.
6. Gragnano F, Sperlongano S, Golia E, et al. The role of von Willebrand factor in vascular inflammation: from pathogenesis to targeted therapy. Mediators Inflamm 2017; 2017: 5620314.
7. Samraj RS, Zingarelli B, Wong HR. Role of biomarkers in sepsis care. Shock 2013; 40: 358-65.
8. Mostel Z, Perl A, Marck M, et al. Post-sepsis syndrome – an evolving entity that afflicts survivors of sepsis. Mol Med 2019; 26: 6.
9. Chen L, Deng H, Cui H, et al. Inflammatory responses and inflammation-associated diseases in organs. Oncotarget 2018; 9: 7204-18.
10. Caraballo C, Jaimes F. Organ dysfunction in sepsis: an ominous trajectory from infection to death. Yale J Biol Med 2019; 92: 629-40.
11. Sheats MK. A comparative review of equine SIRS, sepsis, and neutrophils. Front Veterinary Sci 2019; 6: 69.
12. Philippe A, Chocron R, Gendron N, et al. Circulating von Willebrand factor and high molecular weight multimers as markers of endothelial injury predict COVID-19 in-hospital mortality. Angiogenesis 2021; 24: 505-17.
13. South K, Roberts L, Morris L, et al. Severity-stratified and longitudinal analysis of VWF/ADAMTS13 imbalance, altered fibrin crosslinking and inhibition of fibrinolysis as contributors to COVID-19 coagulopathy. medRxiv 2020; 5: 1-22.
14. Pipe SW, Montgomery RR, Pratt KP, Lenting PJ, Lillicrap D. Life in the shadow of a dominant partner: the FVIII-VWF association and its clinical implications for hemophilia A. Blood 2016; 128: 2007-16.
15. Lerolle N, Dunois-Lardé C, Badirou I, et al. von Willebrand factor is a major determinant of ADAMTS-13 decrease during mouse sepsis induced by cecum ligation and puncture. J Thromb Haemostasis 2009; 7: 843-50.
16. Singh K, Kwong AC, Madarati H, et al. Characterization of ADAMTS13 and von Willebrand factor levels in septic and non-septic ICU patients. PLoS One 2021; 16: e0247017.
17. Shoeib SA, Abd ElHalim AF, Abd ElHafez MA, Dawod AA, Abd ElMohsen EA, ElBaz SA. Serum soluble glycoprotein VI (sGPVI) to predict the 28th day in-hospital mortality in adult patients with sepsis. Egypt J Hospital Med 2020; 80: 820-6.
18. Dempfle CEH, Lorenz S, Smolinski M, et al. Utility of activated partial thromboplastin time waveform analysis for identification of sepsis and overt disseminated intravascular coagulation in patients admitted to a surgical intensive care unit. Crit Care Med 2004; 32: 520-4.
19. Katoch T, Singh A, Suri V, Sethi S, Sachdeva N, Naseem S. Diagnostic performance of biomarkers in maternal sepsis: a prospective observational study. Int J Gynecol Obstetrics 2021; 154: 312-7.
20. Benediktsson S, Frigyesi A, Kander T. Routine coagulation tests on ICU admission are associated with mortality in sepsis: an observational study. Acta Anaesthesiol Scand 2017; 61: 790-6.
21. Massion PB, Peters P, Ledoux D, et al. Persistent hypocoagulability in patients with septic shock predicts greater hospital mortality: impact of impaired thrombin generation. Intensive Care Med 2012; 38: 1326-35.
22. Zheng R, Pan H, Wang JF, Yu XS, Chen ZQ, Pan JY. The association of coagulation indicators with in-hospital mortality and 1-year mortality of patients with sepsis at ICU admissions: a retrospective cohort study. Clin Chim Acta 2020; 504: 109-18.
23. Orati JA, Almeida P, Santos V, Ciorla G, Lobo SM. Serum C-reactive protein concentrations in early abdominal and pulmonary sepsis. Rev Brasil Terapia Intensiva 2013; 25: 6-11.
24. Peetermans M, Meyers S, Liesenborghs L, et al. Von Willebrand factor and ADAMTS13 impact on the outcome of Staphylococcus aureus sepsis. J Thromb Haemostasis 2020; 18: 722-31.
25. Freund Y, Lemachatti N, Krastinova E, et al. Prognostic accuracy of sepsis-3 criteria for in-hospital mortality among patients with suspected infection presenting to the emergency department. JAMA 2017; 317: 301-8.
26. Toker AK, Kose S, Turken M. Comparison of SOFA Score, SIRS, qSOFA, and qSOFA + L criteria in the diagnosis and prognosis of sepsis. Eurasian J Med 2021; 53: 40-7.
27. Gaini S, Relster MM, Pedersen C, Johansen IS. Prediction of 28-days mortality with sequential organ failure assessment (SOFA), quick SOFA (qSOFA) and systemic inflammatory response syndrome (SIRS) – a retrospective study of medical patients with acute infectious disease. Int J Infect Dis 2019; 78: 1-7.
28. Rudd KE, Seymour CW, Aluisio AR, et al. Association of the quick sequential (sepsis-related) organ failure assessment (qSOFA) score with excess hospital mortality in adults with suspected infection in low- and middle-income countries. JAMA 2018; 319: 2202-11.
29. Song JU, Sin CK, Park HK, Shim SR, Lee J. Performance of the quick sequential (sepsis-related) organ failure assessment score as a prognostic tool in infected patients outside the intensive care unit: a systematic review and meta-analysis. Crit Care 2018; 22: 1-13.
Copyright: © 2021 Termedia & Banach. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
Quick links
© 2022 Termedia Sp. z o.o. All rights reserved.
Developed by Bentus.