Literature DB >> 32088973

von Willebrand Factor as a Predictor for Transplant-Associated Thrombotic Microangiopathy.

Zhenzhen Xu1, Chengwei Luo1, Peilong Lai1, Wei Ling1, Suijing Wu1, Xin Huang1, Lisi Huang1, Guanrong Zhang2, Xin Du1, Jianyu Weng1.   

Abstract

CONCLUSION: von Willebrand factor is a useful predictor and prognostic measure for TA-TMA, which may help clinicians identify and manage this life-threatening disease earlier.

Entities:  

Keywords:  ADAMTS13; transplant-associated thrombotic microangiopathy (TA-TMA); von Willebrand factor (vWF)

Mesh:

Substances:

Year:  2020        PMID: 32088973      PMCID: PMC7256332          DOI: 10.1177/1076029619892684

Source DB:  PubMed          Journal:  Clin Appl Thromb Hemost        ISSN: 1076-0296            Impact factor:   2.389


Introduction

Hematopoietic stem cell transplantation (HSCT) is an important curative therapy for many hematopoietic disorders.[1] but there are many significant severe complications.[2] Transplantation-associated thrombotic microangiopathy (TA-TMA) is a serious complication that occurs after HSCT[3] with a reported mortality rate ranging from 60% to 90%.[4] The clinical manifestations of TA-TMA include microvascular hemolytic anemia (MAHA), thrombocytopenia, microvascular thrombosis, and multiple organ failure, and the emblematic pathological manifestations include arteriole endothelium injury and intra-arteriole thrombosis.[5] Although the exact pathophysiology remains unclear, the endothelial dysfunction caused by chemoradiotherapy, immunosuppressive drugs, graft-versus-host disease (GVHD), infections, and complement dysregulation play an important role.[6-8] von Willebrand factor is a multimeric glycoprotein present in blood plasma, the subendothelial matrix, storage granules in endothelial cells (Weibel-Palade bodies [WPBs]), and platelets (PLTs; α-granules).[9] von Willebrand factor is released into the blood circulation and combines with PLTs to form a thrombosis when endothelium is damaged.[10,11] Transplant-associated thrombotic microangiopathy is a type of endothelium damage disorder, but the diagnostic role of vWF has been controversial in different reports. This study was conducted to evaluate the relationship between vWF and TA-TMA incidence.

Materials and Methods

Patients

We enrolled patients who received HSCT between August 2016 and June 2018 in Guangdong Provincial People’s Hospital and who had been monitored serially for vWF levels. All patients provided informed consent.

Transplant-Associated Thrombotic Microangiopathy Definition

Transplant-associated thrombotic microangiopathy was diagnosed using the criteria proposed by Cho et al[12]: (1) lactate dehydrogenase (LDH) above the upper limit of normal, (2) thrombocytopenia (<50 000 U/L) or a 50% decrease in the PLT count, (3) de novo anemia with a hemoglobin (HBG) level below the lower limit of normal or anemia that requires transfusion, (4) microangiopathic changes, which are defined as schistocytes in peripheral blood or histologic evidence of microangiopathy on tissue specimens, and (5) a negative Coombs test and the absence of coagulopathy. All laboratory criteria had to be met and documented in at least 2 consecutive tests to be confirmed as positive. The TA-TMA diagnosis date was defined as the first date when all diagnostic criteria were met. If the diagnosis of thrombotic thrombocytopenia purpura (TTP) was suspected, then an ADAMTS13 test was conducted,[13] and patients with Shiga toxin-producing bacteria infection within 2 weeks prior to the diagnosis of TA-TMA were removed to rule out Shiga toxin-associated hemolytic uremic syndrome.[14]

Laboratory and Clinical Monitoring

All of the HSCT recipients were closely monitored for 100 days post-HSCT. Routine blood detection was performed according to standard clinical practice. von Willebrand factor was regularly monitored weekly for all patients within the first 100 days after transplantation. When TA-TMA was suspected or diagnosed, monitoring was more frequent according to clinical needs and was continued regularly until recovery. For patients without TA-TMA, as the control group, vWF was only monitored during the regular follow-up and at day 100 or when GVHD, infection, or other indications warranted. Coagulation test, LDH, liver function, renal function, urinalyses, inflammatory markers, and viral detection were monitored once weekly within 100 days after the transplant, then every 2 weeks after 100 days post-HSCT. Cyclosporine A (CsA) trough levels were monitored twice weekly. Reticulocyte percentage analysis and the Coombs test were performed when hemolysis or thrombogenesis was suspected. If the diagnosis of TTP was suspected, an ADAMTS13 test was conducted. The level of vWF antigen (vWF:Ag) was tested by an immune turbidimetric assay kit (STA Liatest, DIAGNOSTICA STAGO, Asnières-sur-Seine, France) on STA-R Evolution analyzer (DIAGNOSTICA STAGO, Asnières-sur-Seine, France), according to the kit instructions. At the beginning of examination, the specimens were tested with 8-fold dilution, and the test results of vWF:Ag range from 0% to 420%. The normal plasma VWF:Ag level in the adult population is usually in the range of 50% to 160% recommended by DIAGNOSTICA STAGO. The laboratory staff had selected 20 healthy people in Guangzhou for reference range verification, and one of them exceeded the upper limit value and met the standards of the national standardization committee (NCCLS). This reference range could be used in our laboratory. The standard deviation (SD) was 1.7% in the 20 times intra-assay repeatability experiment and 2.5% in the 10 times inter-assay repeatability experiment. This test was performed in the clinical laboratory of our hospital. Acute GVHD was diagnosed and graded using established criteria.[15] Liver function damage assessments were based on elevated liver enzymes and bilirubin. Fungal infection was based on clinical diagnoses.

Data Collection

Data were collected from case documentation, imaging reports, color Doppler ultrasounds, laboratory indicators, gastroenterological endoscopy, and telephone follow-up. The data gathered were confirmed by 2 independent researchers, and when the diagnosis of 2 researchers was inconsistent, a clinical hematologist of the transplant center, as the third expert, participated in the diagnosis. The indicators for the TA-TMA group were collected at onset and 100 days after transplantation for the control group. If TA-TMA was diagnosed, vWF and abnormal results would continue to be monitored until recovery to normal.

Outcome and Follow-Up

The primary study end point was diagnosis of TA-TMA. We compared TA-TMA patients with non-TA-TMA patients to investigate risk factors for TA-TMA. To study whether vWF was a risk factor for death, we considered all causes of death other than suicide as a secondary end point. All surviving patients were followed up until April 15, 2019.

Statistical Analyses

The median (range) and frequencies describe continuous and categorical variables. Categorical variables were analyzed using the χ2 or Fisher exact test, whereas continuous normal variables were assessed by the independent sample t test, and abnormal variables were tested by the Wilcoxon rank sum test. Conditional logistic regression was used to examine the correlation between risk factors and TA-TMA occurrence with respect to grades 2 to 4 acute GVHD (aGVHD), liver injury, inflammatory biomarkers, and vWF. The relationship between sensitivity and specificity of VWF to the diagnosis of TA-TMA was plotted with an receiver operating characteristic (ROC) curve. Survival and competing risk analyses were performed using the Kaplan-Meier method. Statistical analyses were performed with SPSS 20.0 (IBM, Chicago, Illinois) and MedCalc (MedCalc Software, Mariakerke, Belgium). P values less than .05 were considered statistically significant.

Results

Patient Clinical Characteristics

A total of 79 consecutive patients underwent HSCT from August 2016 and June 2018. The overall incidence of TA-TMA in our patient population was 29% (23/79). The median time of TA-TMA diagnosis was 76 days (range: 7-456 days) after HSCT. The date of last follow-up for all surviving patients was April 15, 2019. The median follow-up was 17 months (range: 0 to 32 months). The patient characteristics and laboratory results are summarized in Table 1. Patients who had TA-TMA often had fever (P < .001), hypertension (P = .008), and/or pulmonary hypertension (P = .001). In addition, risk factors for TA-TMA included grades 2 to 4 aGVHD (P = .048), liver damage (P = .023), serious gastrointestinal bleeding (P = .001), and fungal infection (P = .002). However, no significant difference was found between the TA-TMA and non-TA-TMA groups with respect to age, recipient, donor sex, diagnosis of hematopoietic malignancies, risk stratification, pretreatment, GVHD prevention scheme, or grafts.
Table 1.

Clinical Characteristics and Laboratory Markers for the 79 HSCT Recipients.a

CharacteristicsNon TA-TMA (n = 56)TA-TMA (n = 23) P Value
Age, median, (IQR)28 (22-37)28 (21-37).255
Sex1.000
 Female25 (44.6%)10 (43.5%)
 Male31 (55.4%)13 (56.5%)
Disease.359
 Acute lymphoblastic leukemia13 (23.2%)9 (39.1%)
 Acute myeloblastic leukemia33 (58.9%)9 (39.1%)
 Chronic myeloid leukemia2 (3.6%)1 (4.3%)
 Others8 (14.3%)4 (17.4%)
HLA typing.500
 Matched48 (85.7%)18 (78.3%)
 Mismatched8 (14.3%)5 (21.7%)
aGVHD.465
 Yes26 (46.4%)13 (56.5%)
 No30 (53.6%)10 (43.5%)
Grades 2 to 4 aGVHD11 (19.6%)10 (43.5%).048
Gastrointestinal aGVHD7 (12.5%)8 (34.8%).030
Liver damage27 (48.2%)18 (78.3%).023
Severe gastrointestinal bleeding18 (32.1%)17 (73.9%).001
Severe infection19 (33.9%)19 (82.6%)<.001
Virus infection19 (33.9%)8 (34.8%)1.000
Fungal infection3 (5.4%)8 (34.8%).002
Fever13 (23.2%)16 (69.6%)<.001
Hypertension5 (8.9%)8 (34.8%).008
Pulmonary hypertension4 (7.1%)9 (39.1%).001
Death11 (19.6%)18 (78.3%)<.001
Laboratory markers
 HGB, g/L, mean ± SD94.5 ± 27.368.2 ± 8.6<.001
 PLT, 109/L, mean ± SD107.2 ± 86.226.4 ± 17.8<.001
 LDH, U/L, median, (IQR)322.5 (235.2-423.0)516.0 (415.0-1078.0).001
 vWF, %, mean ± SD284.9 ± 104.5380.7 ± 78.8<.001
 D-DI, ng/mL, median, (IQR)510 (290-1348)2450 (1030-15000).001
 Urine protein, g/L, median, (IQR)0.3 (0.0-0.3)1.0 (0.2-3.0).015
 CREA, μmol/L, mean ± SD83.5 ± 50.3129.2 ± 74.1.002
 ALB, g/L, mean ± SD36.2 ± 5.832.3 ± 4.2.001
 CHE, U/L, mean ± SD5912.1 ± 2164.34447.1 ± 2103.1.007
 PCT, ng/mL, median, (IQR)0.12 (0.06-0.27)0.91 (0.17-2.44)<.001
 CSA, ng/mL, mean ± SD211.6 ± 66.9188.1 ± 87.2.206
 C3, mg/L, mean ± SD910.9 ± 247.2844.2 ± 184.5.248
 C4, mg/L, mean ± SD226.7 ± 83.9206.1 ± 45.6.272

Abbreviations: aGVHD, acute GVHD; ALB, albumin; CHE, cholinesterase; CREA, serum creatinine; CSA, cyclosporine A; D-DI, D dimer; GVHD, graft-versus-host disease; HGB, hemoglobin; HLA, human leukocyte antigen; HSCT, hematopoietic stem cell transplantation; LDH, lactate dehydrogenase; PCT, procalcitonin; PLT, platelet; SD, standard deviation; TA-TMA, transplantation-associated thrombotic microangiopathy; vWF, von Willebrand factor.

a Data with a normal distribution are represented as mean ± SD, and data with abnormal distributions are represented as median and (IQR).

Clinical Characteristics and Laboratory Markers for the 79 HSCT Recipients.a Abbreviations: aGVHD, acute GVHD; ALB, albumin; CHE, cholinesterase; CREA, serum creatinine; CSA, cyclosporine A; D-DI, D dimer; GVHD, graft-versus-host disease; HGB, hemoglobin; HLA, human leukocyte antigen; HSCT, hematopoietic stem cell transplantation; LDH, lactate dehydrogenase; PCT, procalcitonin; PLT, platelet; SD, standard deviation; TA-TMA, transplantation-associated thrombotic microangiopathy; vWF, von Willebrand factor. a Data with a normal distribution are represented as mean ± SD, and data with abnormal distributions are represented as median and (IQR). There were also significant differences in laboratory indicators between the TA-TMA and non-TA-TMA groups. Patients with TA-TMA had lower levels of HGB (P < .001) and PLTs (P < .001). Unsurprisingly, the level of vWF was higher for those with TA-TMA (mean ± SD, 380.7% ± 78.8% vs 284.9% ± 104.5%; P < .001). Urinary protein (P = .015), serum creatinine (CREA) (P = .002), and procalcitonin (PCT) levels were higher in the TA-TMA group (P = .018). Cholinesterase (CHE; P = .007) and albumin (ALB; P = .001) levels were lower in the TA-TMA group compared with the control group. However, there were no statistically differences in complement C3, C4, and CSA.

Independent Early Sign and Outcome

von Willebrand factor was elevated at a median of 37 days (interquartile range [IQR]: 20-125) prior to TA-TMA diagnosis and 8 days (IQR: 2-22 days) before LDH increased. von Willebrand factor (odds ratio = 1.009; 95% confidence interval [CI]: 1.001-1.016; P = .027) was an independent early risk indication for TA-TMA occurrence in the binary logistic regression equation, which adjusted for GVHD (P = .346), fungal infection (P = .120), and PCT (P = .252). The ROC curve of vWF displays the relationship between the sensitivity and specificity of vWF in the diagnosis of TA-TMA, where the area under the curve (AUC) was 0.756 (95% CI: 0.636-0.874). The maximum Youden index calculated by MedCalc software was 0.542, and the associated criterion was greater than 324%, the corresponding sensitivity of vWF in the diagnosis of TA-TMA was 86.96% (95% CI: 66.4%-97.2%), and the specificity of vWF in the diagnosis of TA-TMA was 67.27% (95% CI: 53.3%-79.3%). The ROC curve of LDH displays the relationship between the sensitivity and specificity of LDH in the diagnosis of TA-TMA, where the AUC was 0.816. Although the AUC for LDH was greater than that for vWF, there was no statistically significant difference (P = .367) compared with vWF in the diagnostic efficacy for TA-TMA, which was obtained by Delong method in the MedCalc software. Figure 1 shows the relationship between the cumulative incidence of TA-TMA and different vWF levels. The Kaplan-Meier (K-M) curve was used to represent the difference in cumulative incidence between the ≥325% vWF group and the <325% vWF group. The outcome shows that the 2-year cumulative hazard rate for the ≥325% vWF group was significantly higher than that for the <325% group vWF (53.1% ± 8.2% vs 7.5% ± 4.2%; P < .001).
Figure 1.

The “<325” polyline represents the von Willebrand factor (vWF) < 325% group (40 patients), and the “≥325” polyline represents the vWF ≥ 325% group (38 patients). The “<325-censored” represents no transplantation-associated thrombotic microangiopathy (TA-TMA) event (37/40) was observed in the vWF < 325% group until the follow-up time, and the “≥325-censored” represents no TA-TMA event (18/38) was observed in the vWF ≥ 325% group until the follow-up time. Cumulative incidence comparison of the ≥325% vWF and <325% vWF groups. The Kaplan-Meier survival curve revealed a significantly higher cumulative hazard rate for TA-TMA in the ≥325 vWF group compared with the <325% vWF group (53.1% ± 8.2% vs 7.5% ± 4.2%; P < .001).

The “<325” polyline represents the von Willebrand factor (vWF) < 325% group (40 patients), and the “≥325” polyline represents the vWF ≥ 325% group (38 patients). The “<325-censored” represents no transplantation-associated thrombotic microangiopathy (TA-TMA) event (37/40) was observed in the vWF < 325% group until the follow-up time, and the “≥325-censored” represents no TA-TMA event (18/38) was observed in the vWF ≥ 325% group until the follow-up time. Cumulative incidence comparison of the ≥325% vWF and <325% vWF groups. The Kaplan-Meier survival curve revealed a significantly higher cumulative hazard rate for TA-TMA in the ≥325 vWF group compared with the <325% vWF group (53.1% ± 8.2% vs 7.5% ± 4.2%; P < .001). The mortality rate for patients with TA-TMA was much higher than that for those without TA-TMA (78% vs 19%; P < .001). The median survival was 101 days (range: 0-626 days) after TA-TMA diagnosis. The overall death rate was 36.7% (29/79), the recurrence death from leukemia accounted for 20.6% (6/29), and the TA-TMA-related mortality rate was 62.1% (18/29). Figure 2 shows the difference in 2-year cumulative survival after HSCT between the ≥325% vWF group and the vWF < 325% group in a K-M plot (32.1% ± 9.1% vs 83.7% ± 6.2%; P < .001).
Figure 2.

The “<325” polyline represents the von Willebrand factor (vWF) < 325% group (40 patients), and the “≥325” polyline represents the vWF ≥ 325% group (38 patients). The “<325-censored” represents no death event (34/40) was observed in the vWF < 325% group until the follow-up time, and the “≥325-censored” represents no death event (15/38) was observed in the vWF ≥ 325% group until the follow-up time. Cumulative survival curve comparing the ≥325% vWF group with the vWF <325% group. The cumulative survival rate of the VWF≥325 group was significantly lower than that of the vWF < 325% group after hematopoietic stem cell transplantation (HSCT; 32.1% ± 9.1% vs 83.7% ± 6.2%; P < .001).

The “<325” polyline represents the von Willebrand factor (vWF) < 325% group (40 patients), and the “≥325” polyline represents the vWF ≥ 325% group (38 patients). The “<325-censored” represents no death event (34/40) was observed in the vWF < 325% group until the follow-up time, and the “≥325-censored” represents no death event (15/38) was observed in the vWF ≥ 325% group until the follow-up time. Cumulative survival curve comparing the ≥325% vWF group with the vWF <325% group. The cumulative survival rate of the VWF≥325 group was significantly lower than that of the vWF < 325% group after hematopoietic stem cell transplantation (HSCT; 32.1% ± 9.1% vs 83.7% ± 6.2%; P < .001).

Discussion

This was a 3-year case–control, prospective study to identify early predictors and prognostic factors for TA-TMA, which has high mortality after HSCT. This study established that a subset of laboratory and clinical markers provide significant predictive and prognostic value for the management of TA-TMA. These are a high level of vWF, gastrointestinal aGVHD, and fungal infection. In addition, this study helps clinicians decide on early intervention for this life-threatening complication by investigating the starting point of several early markers for TA-TMA. von Willebrand factor plays an independent role in predicting the incidence of TA-TMA and patient outcome after HSCT. It has been demonstrated that an elevated level of vWF occurs earlier than LDH,[16] and there is no statistically significant difference compared with vWF in the diagnostic efficacy for TA-TMA. von Willebrand factor is synthesized by endothelial cells and stored as ultra-large (UL) vWF multimers in WPBs.[10,17] von Willebrand factor strings correspond to UL-vWF multimers that, after secretion from the endothelium, remain anchored to the endotheliocyte surface. In circulation, vWF multimers adopt a folded, globular conformation that shields the binding sites of the platelet glycoprotein Ib (GPIb) in the VWF A1 domain.[18,19] However, immobilization of vWF at sites of vascular injury (via the vWF A3-collagen interaction) leads to vWF unfolding in response to the shear forces exerted by flowing blood.[20] This event exposes vWF A1 domains that, in turn, reveal binding sites for the platelet GPIb receptor.[21] This adhesion step, which is particularly relevant under high shear conditions, initiates platelet activation and aggregation, resulting in the formation of a platelet plug that seals the damaged vessel wall.[10,22,23] In the TA-TMA group, we found that most of the patients (78.3%) had liver dysfunction before TA-TMA diagnosis, in particular, the production of ALB and CHE was reduced. Studies in rats and humans have shown that the ADAMTS13 activity can decrease 30% to 40% after a partial hepatectomy.[13] ADAMTS13 (a disintegrin and metalloproteinase with a thrombospondin type 1 motif, member 13) is predominantly synthesized in the hepatic stellate cells of liver,[24,25] which is a vWF-cleaving protease, and degrades large vWF multimers.[10,13,26] In addition, the liver synthesizes coagulation factors, including factor VIII, which enhances ADAMTS13 proteolytic activity by affecting the domain–domain interaction resulting from ADAMTS13 binding to vWF under shear forces.[27,28] While severely deficient ADAMTS13 (<10%) activity is unique to TTP, there is ample evidence showing that ADAMTS13 is moderately decreased in other TMAs.[29] In our clinical practice, TA-TMA patients had a normal or slightly decreased level of ADAMTS13, which is consistent with the literature. So, we suspect that the occurrence of TA-TMA is related to the imbalance of ADAMTS13/vWF. The ADAMTS13/vWF imbalance in TA-TMA may be affected by: (1) ADAMTS13 synthesized normally but with an explosive increase in vWF leading to relatively insufficient ADAMTS13 activity; (2) a decrease in ADAMTS13 synthesis due to liver function damage, although this is not a diagnosis criteria for TTP, which would lead to relatively insufficient activity for cleaving the increased vWF; (3) an ADAMTS13 inhibitor accompanying GVHD onset. Grade 2 to 4 aGVHD is also a risk factor in patients with TA-TMA, and the incidence of gastrointestinal aGVHD is significantly increased in patients with TA-TMA. Acute GVHD and TA-TMA have been found to be closely related in a majority of studies.[16,30] There are several other factors that promote TA-TMA, such as unrelated donors, exposure to calcineurin inhibitors, infections, and complement dysregulation.[31] Fungal infection in TA-TMA occurrence had statistical significance, but the underlying mechanism remains unclear. The lack of positive results for calcineurin inhibitors in this study may be attributed to the strict control of the cyclosporine concentration in our center because many serious CSA complications were found in clinical application. Transplant-associated thrombotic microangiopathy often leads to injuries to many organs, such as the kidney, liver, intestines, and lungs and often leads to hypertension, pulmonary hypertension, proteinuria, chronic kidney disease, pericardial effusion, and other symptoms.[11,32,33] This study demonstrated these consequences in terms of hypertension, pulmonary hypertension, and kidney impairment. There are some limitations of this study: this is a single-arm observational study, and the sample size is relatively small. We need to further expand the sample size to verify the effectiveness of vWF in the prediction, diagnosis, and prognosis of TA-TMA.
  32 in total

1.  Danaparoid reduces the incidence of hematopoietic stem cell transplantation-associated thrombotic microangiopathy.

Authors:  S Machida; M Onizuka; M Toyosaki; Y Aoyama; H Kawai; J Amaki; R Hara; A Ichiki; Y Ogawa; H Kawada; K Ando
Journal:  Bone Marrow Transplant       Date:  2016-11-28       Impact factor: 5.483

2.  Intersection of mechanisms of type 2A VWD through defects in VWF multimerization, secretion, ADAMTS-13 susceptibility, and regulated storage.

Authors:  Paula M Jacobi; Joan Cox Gill; Veronica H Flood; David A Jakab; Kenneth D Friedman; Sandra L Haberichter
Journal:  Blood       Date:  2012-03-19       Impact factor: 22.113

Review 3.  The role of von Willebrand factor in thrombotic microangiopathy.

Authors:  Damien G Noone; Magdalena Riedl; Christoph Licht
Journal:  Pediatr Nephrol       Date:  2017-07-26       Impact factor: 3.714

4.  Validation of recently proposed consensus criteria for thrombotic microangiopathy after allogeneic hematopoietic stem-cell transplantation.

Authors:  Byung-Sik Cho; Seung-Ah Yahng; Sung-Eun Lee; Ki-Seong Eom; Yoo-Jin Kim; Hee-Je Kim; Seok Lee; Chang-Ki Min; Seok-Goo Cho; Dong-Wook Kim; Jong-Wook Lee; Woo-Sung Min; Chong-Won Park
Journal:  Transplantation       Date:  2010-10-27       Impact factor: 4.939

5.  Pericardial Effusion Following Hematopoietic Cell Transplantation in Children and Young Adults Is Associated with Increased Risk of Mortality.

Authors:  Kelly Cox; Rajesh Punn; Elizabeth Weiskopf; Benjamin A Pinsky; Sandhya Kharbanda
Journal:  Biol Blood Marrow Transplant       Date:  2017-04-05       Impact factor: 5.742

6.  Therapeutic Plasma Exchange does not Improve Renal Function in Hematopoietic Stem Cell Transplantation-Associated Thrombotic Microangiopathy: An Institutional Experience.

Authors:  Sarah Sartain; Stacey Shubert; Meng-Fen Wu; Poyyapakam Srivaths; Jun Teruya; Robert Krance; Caridad Martinez
Journal:  Biol Blood Marrow Transplant       Date:  2018-08-23       Impact factor: 5.742

7.  Shear-Dependent Interactions of von Willebrand Factor with Factor VIII and Protease ADAMTS 13 Demonstrated at a Single Molecule Level by Atomic Force Microscopy.

Authors:  Klaus Bonazza; Hanspeter Rottensteiner; Gerald Schrenk; Johannes Frank; Günter Allmaier; Peter L Turecek; Friedrich Scheiflinger; Gernot Friedbacher
Journal:  Anal Chem       Date:  2015-09-30       Impact factor: 6.986

8.  Variable Eculizumab Clearance Requires Pharmacodynamic Monitoring to Optimize Therapy for Thrombotic Microangiopathy after Hematopoietic Stem Cell Transplantation.

Authors:  Sonata Jodele; Tsuyoshi Fukuda; Kana Mizuno; Alexander A Vinks; Benjamin L Laskin; Jens Goebel; Bradley P Dixon; Ranjit S Chima; Russel Hirsch; Ashley Teusink; Danielle Lazear; Adam Lane; Kasiani C Myers; Christopher E Dandoy; Stella M Davies
Journal:  Biol Blood Marrow Transplant       Date:  2015-10-09       Impact factor: 5.742

Review 9.  Current evidence for the role of complement in the pathogenesis of Shiga toxin haemolytic uraemic syndrome.

Authors:  Lindsay S Keir; Moin A Saleem
Journal:  Pediatr Nephrol       Date:  2013-07-11       Impact factor: 3.714

10.  Post-transplant cyclophosphamide for graft-versus-host disease prophylaxis in HLA matched sibling or matched unrelated donor transplant for patients with acute leukemia, on behalf of ALWP-EBMT.

Authors:  Annalisa Ruggeri; Myriam Labopin; Andrea Bacigalupo; Boris Afanasyev; Jan J Cornelissen; Ahmet Elmaagacli; Maija Itälä-Remes; Didier Blaise; Ellen Meijer; Yener Koc; Noel Milpied; Harry C Schouten; Nicolaus Kroeger; Mohamad Mohty; Arnon Nagler
Journal:  J Hematol Oncol       Date:  2018-03-15       Impact factor: 17.388

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