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Table 6 Multivariable associations of hypocomplementaemia with features of disease activity at each visit among the whole cohort and analysis subsets determined using generalised estimating equations

From: The association of low complement with disease activity in systemic sclerosis: a prospective cohort study

 

Whole cohort (n = 886; 1893 visits)

SSc with features of overlap disease (n = 221;628 visits)

SSc without features of overlap disease (n = 665; 1265 visits)

Parameter

Odds ratio (95 % CI)

p Value

Odds ratio (95 % CI)

p Value

Odds ratio (95 % CI)

p Value

Self-reported worsening of cardiopulmonary, vascular or skin symptomsa

1.05 (0.57–1.94)

0.87

1.24 (0.48–3.18)

0.66

1.03 (0.45–2.35)

0.94

Digital ulcers/necrosisa

1.15 (0.84–1.56)

0.38

1.62 (1.04–2.51)

0.034

0.82 (0.53–1.27)

0.37

Sclerodermaa

0.97 (0.76–1.23)

0.78

1.08 (0.75–1.58)

0.67

0.87 (0.63–1.18)

0.37

Tendon friction rubsa

1.15 (0.64–2.08)

0.64

2.31 (1.05–5.10

0.037

0.54 (0.19–1.53)

0.24

Synovitis/arthritisa

0.95 (0.69–1.31)

0.76

1.18 (0.73–1.91)

0.50

0.80 (0.51–1.25)

0.32

Modified Rodnan skin score >14a

0.98 (0.96–0.99)

0.013

0.97 (0.95–1.01)

0.087

0.98 (0.96–1.01)

0.16

Erythrocyte sedimentation rate >30 mm/ha

0.98 (0.98–0.99)

0.022

0.99 (0.99–1.01)

0.97

0.99 (0.97–0.99)

0.026

DLCO <80 % predicteda

0.81 (0.61–1.09)

0.17

1.14 (0.66–1.96)

0.65

0.72 (0.51–1.03)

0.073

C-reactive protein >8 mg/La

1.01 (0.99–1.01)

0.90

0.97 (0.93–1.01)

0.073

1.01 (0.99–1.01)

0.41

BMIb

0.91 (0.88–0.94)

<0.0005

0.90 (0.85–0.95)

<0.0005

0.91 (0.87–0.95)

<0.0005

FVC <80 % predictedb

1.24 (0.78–1.97)

0.37

2.90 (1.32–6.38)

0.0080

0.87 (0.47–1.61)

0.65

  1. Abbreviations: BMI Body mass index, FVC forced vital capacity, DLCO Diffusing capacity of the lung for carbon monoxide corrected for haemoglobin
  2. All variables listed in the table were included in the final multivariable generalised estimating equation model
  3. aComponents of European Scleroderma Study Group disease activity index
  4. bAdditional disease activity variables entered into multivariable regression model on the basis of significance in univariable analysis