Table 3: Demographic and clinical characteristics of the patients according to scleroderma pattern. In bold and gray background, the comparisons that present statistical significance (p < 0.05) are highlighted.

Parameters

Scleroderma pattern

Non-scleroderma pattern

p-value*

p-value**

p-value***

Total

(n = 10)

Early

(n = 0)

Active

(n = 8)

Late

(n = 2)

Total

(n = 14)

Normal

(n = 9)

Non specific abnormalities (n = 5)

Age (years)

53.0 ± 14.7

N/A

51.1 ± 13.7

60.5 ± 21.9

51.1 ± 16.7

49.1 ± 17.1

54.8 ± 17.1

0.7804

 

 

Raynaud’s phenomenon

10

(100%)

N/A

8

 100%)

2

(100%)

2

(14.3%)

0

(0%)

2

(40%)

< 0.0001

1.0000

0.1099

Capillaroscopy characteristics

Density (/mm)

4.5 ± 1.4

N/A

5.0 ± 0.9

2.5 ± 0.7

9.6 ± 2.5

10.7 ± 2.5

7.8 ± 1.1

< 0.0001

0.0079

0.0332

Dimension (µm)

74.4 ± 31.8

N/A

84.9 ± 25.6

32.5 ± 10.6

16.9 ± 4.5

14.7 ± 1.2

21.0 ± 5.5

0.0003

0.0066

0.0633

Abnormal morphology

10

(100%)

N/A

8

(100%)

2

(100%)

1

(7.1%)

0

(0%)

1

(20%)

< 0.0001

1.0000

0.3571

Haemorrhages

8

(80%)

N/A

8

(100%)

0

(0%)

3

(21.4%)

0

 (0%)

3

 (60%)

0.0111

0.0222

0.0274

Antibodies

ANA

9

(90%)

N/A

7

(87.5%)

2

(100%)

1

 (7.1%)

0

(0%)

1

(20%)

< 0.0001

1.0000

0.3571

SCL-70

1

(10%)

N/A

1

(12.5%)

0

(0%)

1

(7.1%)

0

(0%)

1

(20%)

1.0000

1.0000

0.3571

ACA

5

(50%)

N/A

4

(50%)

1

(50%)

0

(0%)

0

(0%)

0

(0%)

0.0059

1.0000

1.0000

*P-value between patients with scleroderma pattern and Non-scleroderma pattern (Student’s t-test or Chi Square); **p-value between Active and Late (t-Student or Chi Square); ***p-value between normal and non-specific abnormalities (t-Student or Chi Square); N/A does not apply.