Table 1.

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

Outcome	Baseline vWf:Ag regression coefficienta	Odds ratio	95% CI	P-value
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.