| Literature DB >> 22596213 |
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.Entities:
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Year: 2012 PMID: 22596213 PMCID: PMC3418644 DOI: 10.1093/rheumatology/kes068
Source DB: PubMed Journal: Rheumatology (Oxford) ISSN: 1462-0324 Impact factor: 7.580
FDot 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
| Outcome | Baseline vWf:Ag regression coefficient | Odds ratio | 95% CI | |
|---|---|---|---|---|
| PAP >30 mmHgb | 1.007 | 0.998, 1.017 | 0.11 | |
| PAP >40 mmHgb | 1.022 | 1.009, 1.035 | 0.001 | |
| Number of new or recent digital ulcers | 0.0009 | −0.0003, 0.0021 | 0.15 | |
| Raynaud’s attack frequency VAS | −0.0185 | −0.0651, 0.0282 | 0.44 | |
| Raynaud’s disease severity VAS | −0.0192 | −0.0627, 0.0243 | 0.39 | |
| Modified Rodnan skin score | 0.0025 | −0.0035, 0.0086 | 0.42 | |
| Percentage of expected FVC | −0.0150 | −0.0410, 0.0111 | 0.26 | |
| Percentage of expected DLCO | −0.0099 | −0.0356, 0.0159 | 0.45 | |
| Percentage of expected KCO | −0.0102 | −0.0367, 0.0162 | 0.45 | |
| eGFR | 0.0006 | −0.0200, 0.0211 | 0.96 | |
| Urinary protein, g/24 h | 0.0002 | −0.0002, 0.0007 | 0.30 | |
| Medsger disease severity score | 0.0009 | −0.0043, 0.0060 | 0.75 |
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.