Literature DB >> 22596213

Baseline vWF factor predicts the development of elevated pulmonary artery pressure in systemic sclerosis.

Theresa Barnes1, Angela Gliddon, Caroline J Doré, Peter Maddison, Robert J Moots.   

Abstract

OBJECTIVES: This study aims to examine the utility of von Willebrand factor (vWF) as a biomarker in lcSSc, in particular the ability of vWF to predict the future development of disease manifestations in this disease.
METHODS: vWFAg concentrations were measured in the serum of patients with lcSSc at baseline and at 3 years, during the QUINs trial [Prevention of Vascular Damage in Scleroderma with Angiotensin-Converting Enzyme (ACE) Inhibition]. %DL(CO), %KCO, %FVC, pulmonary artery pressure (PAP) estimation by echocardiography, Raynaud's attack frequency, Raynaud's severity, digital ulcer frequency, urinary protein excretion, estimated glomerular filtration rate (eGFR), modified Rodnan skin score and Medsger disease activity score were also measured at baseline and 3 years.
RESULTS: Baseline serum vWF concentrations were related to concurrent Medsger disease activity score, %DL(CO), %FVC, urinary protein excretion, eGFR and PAP >30 mmHg. In logistic regression models, baseline serum vWF concentrations were able to predict the future development of elevated PAP by echocardiography (PAP >40 mmHg, P = 0.001).
CONCLUSIONS: Pulmonary artery hypertension is a life-threatening complication of lcSSc. vWF is a marker of endothelial cell activation. Raised serum concentrations of vWF in lcSSc increase the risk of developing subsequent elevation in PAP. Therefore screening patients with lcSSc for vWF may identify a group at risk of developing PAH. These patients could potentially be targeted with agents that stabilize the endothelium, e.g. statins.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22596213      PMCID: PMC3418644          DOI: 10.1093/rheumatology/kes068

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


Introduction

SSc is a connective tissue disease characterized by fibrosis, together with activation and dysfunction of the immune system and endothelium. Endothelial injury is thought to be central to the pathogenesis of this condition [1]. Von Willebrand factor (vWF), a circulating glycoprotein synthesized by endothelial cells and megakaryocytes, acts as a carrier protein for the coagulation factor, factor VIII. It promotes adhesion of platelets to the subendothelium following vascular injury and has been validated as a marker of endothelial injury [2]. In previous small-scale studies, plasma vWF has been reported to be increased in SSc and potentially correlates with disease severity [3, 4]. No studies have previously examined the utility of vWF as a predictor of future disease manifestations. Since the successful introduction of angiotensin-converting enzyme (ACE) inhibitors for the treatment of SSc renal crisis, pulmonary problems such as fibrosis and PAH are now the most serious complications [5]. Pulmonary artery hypertension (PAH) is more common in lcSSc associated with ACAs and can occur after the patient has suffered from the disease for many years. The morbidity and mortality from this complication is significant [6]. Recently, a number of treatments have become available that can improve the prognosis in established PAH [7]. There is now an imperative to determine, as early as possible, when pulmonary hypertension is developing [8] as an essential prerequisite for clinical trials to determine the impact of early intervention on outcome. The QUINs randomized placebo-controlled trial [Prevention of Vascular Damage in Scleroderma with Angiotensin-Converting Enzyme (ACE) Inhibition] was set up to investigate the potential utility of quinapril in preventing digital ulcers in a large cohort of patients with lcSSc. We undertook this substudy to investigate the utility of vWF as a biomarker in this condition, measuring the vWF antigen at 0 and 3 years together with a range of clinical parameters at 12 weekly or annual intervals over the 3 years.

Methods

Patients

Two hundred and thirteen patients from 20 different centres across England and Wales with lcSSc [9] were recruited as part of the QUINs study. Approval for the study was gained from the Multicentre Research Ethics Committee (MREC Wales 00/09/19), and all centres gained local ethics committee approval. Patients gave written informed consent according to the Declaration of Helsinki.

vWF: antigen measurements

The vWF antigen (vWF:Ag) was measured at a single central lab (Aintree University Hospital) in sera of patients at baseline; follow-up measurements were taken after at least 2 years and no more than 3 years. vWF:Ag was measured using the STA Liatest Immuno-Turbidimetric assay. The detection threshold for the assay is 2%. The intra-assay reproducibility for the assay is 1.9–2.7% [coefficient of variance (CV)]. The inter-assay reproducibility of the assay is 2.9–4.5% (CV). The assay correlates well with ELISA procedures (r = 0.982).

Clinical measurements

12 weekly measurements

Measurements included Rodnan skin score, digital ulcers, frequency and severity of RP on a visual analogue scale (VAS), a composite measurement of disease extent and severity using the Medsger score [10].

Annual measurements

The estimated glomerular filtration rate (eGFR), 24-h urinary protein excretion, %DLCO, %FVC and %KCO were measured. Pulmonary artery pressure (PAP) was measured by an experienced operator at each site using echocardiography at baseline and at 3 years. PAP was taken to be the tricuspid gradient (mmHg) plus an estimate of right atrial pressure (10 mmHg).

Statistics

Regression models were fitted to predict values recorded at 3 monthly or yearly intervals from the baseline value of the variable, treatment (placebo or quinapril) and the baseline vWF:Ag value. vWF:Ag levels correlated weakly with age (correlation coefficient = 0.168, P = 0.018) so all regression models were adjusted for age at the baseline visit. Robust Huber–White standard errors of the regression coefficients were used to take account of the observed correlations between repeated assessments of the same patient. High estimated PAP was analysed as a binary variable (yes/no) due to the way that the data were recorded during the study, i.e. PAP values were not quantified in 126 out of 323 patients with normal PAP <30 mmHg. A logistic regression model was applied to binarized PAP. No adjustments were made for multiple comparisons.

Results

vWF levels at follow-up visits did not differ significantly (P = 0.42) between the two randomized treatment groups (placebo vs quinapril) after adjusting for baseline vWF and age.

Relationships with vWF at baseline

There is no significant relationship between baseline vWF:Ag and baseline values of concurrent/recent ulcers, Raynaud’s attack frequency VAS score, Raynaud’s severity VAS score or skin score. However, there was a significant relationship between baseline vWF:Ag and the Medsger score (a composite measurement of disease severity) (β = 0.0087, 95% CI 0.0025, 0.0149, P = 0.006). There was a significant relationship between baseline vWF:Ag and baseline urinary protein excretion (β = 0.0005, 95% CI 0.003, 0.0007, P < 0.001) and baseline eGFR (β = 0.034, 95% CI 0.007, 0.060, P = 0.02). There was a significant relationship between baseline vWF:Ag and baseline %FVC (β = −0.076, 95% CI − 0.119, −0.033, P = 0.001), %DLCO (β = −0.079, 95% CI −0.119, −0.039, P < 0.001) and with baseline PAP of >30 mmHg (odds ratio = 0.998, 95% CI 0.977, 0.9998, P = 0.05) but not with baseline PAP of >40 mmHg (n = 8) (odds ratio = 0.996, 95% CI 0.978, 1.015, P = 0.71).

vWF:Ag as a predictor of future outcomes

Two alternative definitions for raised PAP were explored: PAP > 30 mmHg and PAP > 40 mmHg. Logistic regression models to predict high PAP values during the follow-up from high baseline PAP, randomized treatment during the trial (quinapril or placebo) and baseline vWF:Ag indicate that baseline vWF:Ag is a predictor of PAP > 40 mmHg (P = 0.001) and approached significance for prediction of PAP > 30 mmHg (P = 0.11) (Fig. 1). In regression models, baseline vWF:Ag was not a significant predictor of outcome for Raynaud’s frequency, Raynaud’s severity, new ulcer formation or skin score or any of the other clinical outcomes recorded during the follow-up (Table 1).
F

Dot plot illustrating the relationship between baseline vWF:Ag and estimated PAP >30 mmHg and 40 mmHg at 3 years (or the end of the study).

T

Regression coefficients predicting outcome from baseline vWF:Ag, adjusted for baseline values

OutcomeBaseline vWf:Ag regression coefficientaOdds ratio95% CIP-value
PAP >30 mmHgb1.0070.998, 1.0170.11
PAP >40 mmHgb1.0221.009, 1.0350.001
Number of new or recent digital ulcers0.0009−0.0003, 0.00210.15
Raynaud’s attack frequency VAS−0.0185−0.0651, 0.02820.44
Raynaud’s disease severity VAS−0.0192−0.0627, 0.02430.39
Modified Rodnan skin score0.0025−0.0035, 0.00860.42
Percentage of expected FVC−0.0150−0.0410, 0.01110.26
Percentage of expected DLCO−0.0099−0.0356, 0.01590.45
Percentage of expected KCO−0.0102−0.0367, 0.01620.45
eGFR0.0006−0.0200, 0.02110.96
Urinary protein, g/24 h0.0002−0.0002, 0.00070.30
Medsger disease severity score0.0009−0.0043, 0.00600.75

aRegression coefficients indicate the change in outcome per unit increase in vWFconcentration. Each regression coefficient is adjusted for age, randomized treatment (quinapril or placebo) and the baseline value of the outcome variable. Robust Huber–White sandwich estimators of the standard errors of the regression coefficients were used to construct the 95% CI, which take account of the observed correlation between repeated assessments on the same patient. bOdds ratio from a logistic regression model.

Dot plot illustrating the relationship between baseline vWF:Ag and estimated PAP >30 mmHg and 40 mmHg at 3 years (or the end of the study). Regression coefficients predicting outcome from baseline vWF:Ag, adjusted for baseline values aRegression coefficients indicate the change in outcome per unit increase in vWFconcentration. Each regression coefficient is adjusted for age, randomized treatment (quinapril or placebo) and the baseline value of the outcome variable. Robust Huber–White sandwich estimators of the standard errors of the regression coefficients were used to construct the 95% CI, which take account of the observed correlation between repeated assessments on the same patient. bOdds ratio from a logistic regression model.

Discussion

This study, involving a large, well-characterized cohort of patients, was suitably placed to explore the utility of vWF:Ag as a biomarker in lcSSc. Previous smaller studies have suggested that plasma vWF:Ag may be raised in SSc compared with healthy controls and reflect disease severity [3, 4]. This study seems to confirm the latter, as vWF:Ag levels were related to the Medsger disease score that reflects the overall disease extent and severity. The relationship, however, is weak, and this may reflect the underlying problems in using vWF as a biomarker: levels are highly variable in the normal population and may be altered by factors such as exercise and ABO blood group [11]. A recent study in a small group of patients with SSc has suggested that vWF propeptide may be more useful as a marker of disease activity, but this assay was not available at the time this study commenced [12]. In this study we examined in particular the relationships with disease manifestations presumed to be directly a consequence of endothelial injury and dysfunction: number of ulcers, Raynaud’s severity and attack frequency, urinary protein excretion and raised PAP. It is interesting to note that baseline vWF did correlate with urinary protein excretion and PAP. vWF did not correlate with Raynaud’s severity and frequency, and this is likely to be due to the subjective and imprecise nature of these assessments. Of note, the average vWF:Ag levels decreased (mean change 15.9, 95% CI 5.8, 26.0, P = 0.002) over the 3 years of the study. This may reflect a decrease in endothelial injury over time, in keeping with the observations that inflammation, the presumed stimulus for endothelial injury, is greatest earlier in the disease. Strikingly, we have identified the utility of baseline vWF:Ag to predict the future development of raised PAP. Previous studies have shown that vWF:Ag levels are elevated in patients with concurrent primary PAH and that levels are responsive to treatment [13, 14]. This suggests that endothelial injury does play a significant role in this condition. This study is the first to report, importantly, that an increase in vWF is predictive of the future development of elevated PAP in patients with lcSSc. This may allow patients at risk of developing this life-threatening manifestation of the disease to be identified early. Of note, treatment with pravastatin significantly lowered vWF:Ag levels in patients with SSc. This was presumed to reflect a protective effect on the vascular endothelium [15]. It may be that prophylactic treatment of patients with raised vWF:Ag may reduce the risk of developing PAH, though this hypothesis remains to be tested. Statin use was not routinely recorded in our population. Although echocardiography has its limitations in the assessment of PAP, it has been validated as an appropriate screening tool [16]. Three patients in this study had a right heart catheter to establish a more accurate assessment of PAP. Each had confirmed PAH and all three patients had very high levels of vWF:Ag at baseline: 201, 253 and 259% normal pooled plasma.
  16 in total

Review 1.  Screening for pulmonary arterial hypertension in systemic sclerosis.

Authors:  J-L Vachiéry; G Coghlan
Journal:  Eur Respir Rev       Date:  2009-09

2.  Protective effect of pravastatin on vascular endothelium in patients with systemic sclerosis: a pilot study.

Authors:  S Furukawa; S Yasuda; O Amengual; T Horita; T Atsumi; T Koike
Journal:  Ann Rheum Dis       Date:  2006-08       Impact factor: 19.103

Review 3.  von Willebrand factor: a marker of endothelial dysfunction in vascular disorders?

Authors:  G Y Lip; A Blann
Journal:  Cardiovasc Res       Date:  1997-05       Impact factor: 10.787

4.  Survival in patients with pulmonary arterial hypertension treated with first-line bosentan.

Authors:  V V McLaughlin
Journal:  Eur J Clin Invest       Date:  2006-09       Impact factor: 4.686

5.  Von Willebrand factor, thrombomodulin, thromboxane, beta-thromboglobulin and markers of fibrinolysis in primary Raynaud's phenomenon and systemic sclerosis.

Authors:  A L Herrick; K Illingworth; A Blann; C R Hay; S Hollis; M I Jayson
Journal:  Ann Rheum Dis       Date:  1996-02       Impact factor: 19.103

6.  A disease severity scale for systemic sclerosis: development and testing.

Authors:  T A Medsger; A J Silman; V D Steen; C M Black; A Akesson; P A Bacon; C A Harris; S Jablonska; M I Jayson; S A Jimenez; T Krieg; E C Leroy; P J Maddison; M L Russell; R K Schachter; F A Wollheim; H Zacharaie
Journal:  J Rheumatol       Date:  1999-10       Impact factor: 4.666

7.  von Willebrand factor abnormalities in primary pulmonary hypertension.

Authors:  R L Geggel; A C Carvalho; L W Hoyer; L M Reid
Journal:  Am Rev Respir Dis       Date:  1987-02

8.  Inverse relation between plasma concentration of von Willebrand factor and CrEDTA clearance in systemic sclerosis.

Authors:  A Scheja; J Eskilsson; A Akesson; F A Wollheim
Journal:  J Rheumatol       Date:  1994-04       Impact factor: 4.666

Review 9.  Scleroderma epidemiology.

Authors:  Maureen D Mayes
Journal:  Rheum Dis Clin North Am       Date:  2003-05       Impact factor: 2.670

10.  Von Willebrand factor propeptide as a marker of disease activity in systemic sclerosis (scleroderma).

Authors:  A Scheja; A Akesson; P Geborek; M Wildt; C B Wollheim; F A Wollheim; U M Vischer
Journal:  Arthritis Res       Date:  2001-02-19
View more
  6 in total

Review 1.  Epidemiology and risk factors for pulmonary hypertension in systemic sclerosis.

Authors:  Aaliya Yaqub; Lorinda Chung
Journal:  Curr Rheumatol Rep       Date:  2013-01       Impact factor: 4.592

Review 2.  Update on biomarkers in systemic sclerosis: tools for diagnosis and treatment.

Authors:  Alsya J Affandi; Timothy R D J Radstake; Wioleta Marut
Journal:  Semin Immunopathol       Date:  2015-07-14       Impact factor: 9.623

Review 3.  Efficacy of Statin Therapy in Pulmonary Arterial Hypertension: A Systematic Review and Meta-Analysis.

Authors:  Magdalena Rysz-Górzynska; Anna Gluba-Brzózka; Amirhossein Sahebkar; Maria-Corina Serban; Dimitri P Mikhailidis; Sorin Ursoniu; Peter P Toth; Vera Bittner; Gerald F Watts; Gregory Y H Lip; Jacek Rysz; Alberico L Catapano; Maciej Banach
Journal:  Sci Rep       Date:  2016-07-22       Impact factor: 4.379

Review 4.  Biomarkers for Pulmonary Vascular Remodeling in Systemic Sclerosis: A Pathophysiological Approach.

Authors:  Balazs Odler; Vasile Foris; Anna Gungl; Veronika Müller; Paul M Hassoun; Grazyna Kwapiszewska; Horst Olschewski; Gabor Kovacs
Journal:  Front Physiol       Date:  2018-06-19       Impact factor: 4.566

5.  Non-HLA Antibodies in Hand Transplant Recipients Are Connected to Multiple Acute Rejection Episodes and Endothelial Activation.

Authors:  Dorota Sikorska; Dorota Kamińska; Rusan Catar; Mirosław Banasik; Harald Heidecke; Kai Schulze-Forster; Katarzyna Korybalska; Rafał Rutkowski; Joanna Łuczak; Jerzy Jabłecki; Andrzej Oko; Przemysław Daroszewski; Mariusz Kusztal; Włodzimierz Samborski
Journal:  J Clin Med       Date:  2022-02-04       Impact factor: 4.241

Review 6.  An Overview of Circulating Pulmonary Arterial Hypertension Biomarkers.

Authors:  Joana Santos-Gomes; Inês Gandra; Rui Adão; Frédéric Perros; Carmen Brás-Silva
Journal:  Front Cardiovasc Med       Date:  2022-07-14
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.