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Abstract Number: 2706

Ulnar and Radial Stenosis in Systemic Sclerosis

María Eugenia Lara1, Mariano Rivero1, Julia Romero1, Guadalupe Palacios2, Ignacio Carrillo3, Claudia L. Giraldo4, Amalia Schiel5, Hugo Armando Laborde1, Marina Khoury6, Saez Diego7, Gustavo Citera8, Oscar L. Rillo9 and Juan C. Barreira1, 1Rheumatology, British Hospital, Buenos Aires, Argentina, 2British Hospital, Buenos Aires, Argentina, 3Rheumatology section, Instituto de Rehabilitación Psicofísica, Buenos Aires, Argentina, 4Rheumatology, Hospital Gral. de Agudos Dr. E. Tornú, Buenos Aires, Argentina, 5Central Laboratory, British Hospital, Buenos Aires, Argentina, 6Teaching and Research, British Hospital, Buenos Aires, Argentina, 7Imaging, British Hospital, Buenos Aires, Argentina, 8Instituto de Rehabilitación Psicofísica, Buenos Aires, Argentina, 9Rheumatology Unit, Hospital General de Agudos Dr. E. Tornú, Buenos Aires, Argentina

Meeting: 2014 ACR/ARHP Annual Meeting

Keywords: Systemic sclerosis

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Session Information

Title: Systemic Sclerosis, Fibrosing Syndromes and Raynaud's - Clinical Aspects and Therapeutics: Determinants of Disease, Classification and Response

Session Type: Abstract Submissions (ACR)

Background/Purpose: Systemic sclerosis (SSc) is a chronic, autoimmune disease. Endothelial damage has been recognized as the initial pathogenic factor. The involvement of the microvasculature is well defined, whereas the prevalence of large vessels disease is still unknown. We aim to describe the frequency of ulnar and radial stenosis in SSc patients and analyze the correlation between arterial stenosis and digital ulcers.

Methods: We included 57 SSc consecutive patients who fulfilled ACR 1980 classification criteria, and 21 healthy controls. SSc patients were classified in two groups: those with present or past digital ulcers and those without them. We collected demographic, clinical and laboratory information. The control group was constituted with voluntaries who attended spontaneously to our hospital to make an image study. All participants have done an arterial ecodoppler of both arms, looking for ulnar and radial stenosis. Statistical analysis: Mann-Whitney, Fisher test p<0.05, Odds Ratio (OR), Forward Stepwise, Hosmer and Lemeshow test.

Results: The presence of stenosis in at least one ulnar artery was observed in 18 of 57 patients with SSc (31%) and in none of the 21 controls (p=0.003). Stenosis occurred in at least one radial artery in 9 of 57 SSc patients (15%) and in one of 21 controls (p=0.19). Univariate analysis is shown in Table 1. In the multivariate model, the best predictors of digital ulcers were age at onset of Raynaud phenomenon before 40 years (OR 5.3 95%CI 1.54-18.22, p=0.008) and presence of late SD pattern (OR 4.4 95%CI 1.29-15.63, p=0.018). The area under ROC=0.76 and the Hosmer and Lemeshow test was not significant (p=0.54). Ulcers probability calculated by the model and observed in the sample by combining groups with different predictors is presented in Table 2.

Conclusion: In the present series, ulnar stenosis was observed frequently in SSc patients. However, the size of the sample did not allow adjusting for potential confounders. Stenosis of large vessels in SSc patients was not associated with presence or history of digital ulcers. The best predictors of digital ulcers were age at onset of Raynaud phenomenon before 40 years and the presence of late SD pattern.

Table 1. Clinical features between SSc patients with present or past digital ulcers (A) versus those without them (B).

 

A % (n=25)

B % (n=32)

p value

OR (95% CI)

Age > 45 years

20 (5)

34 (11)

0.02

4.2 (1.22-14.64)

Male

16 (4)

12 (4)

0.4

 

Age at first non-Raynaud symptom years ± SD

37 ± 14

50 ± 9

0.0018

 

Raynaud phenomenon onset <40 years="" b="">

28 (7)

46 (15)

0.005

5.3 (1.68-17)

Radial stenosis

12 (3)

18 (6)

0.4

0.59 (0.13-2.64)

Ulnar stenosis

32 (8)

31 (10)

0.9

1 (0.33-3.18)

Esophageal involvement

52 (13)

50 (16)

0.5

 

Rodnan skin score  >14

28 (7)

34 (11)

0.079

2.8 (0.88-8.87)

HAQ score ± SD

0.69 ± 0.7

0.46 ± 0.56

0.1

 

Positive ANA (IFI)

84 (21)

81 (26)

0.5

 

Anti-Scl70 positive (ELISA)

20 (5)

18 (6)

0.5

 

Late SD pattern

70 (14)

30 (7)

0.013

4.5 (1.43-14.37)

Table 2. Chance of ulcers according to the combination of predictor factors.

Predictor factors

Value prediction model

Value observed in the sample

None

18.5%

20.8%

Raynaud phenomenon onset <40 years

or 

late SD pattern

50.5-54.7%

47.8%

Raynaud phenomenon onset <40

years and late SD pattern

84.4%

90%


Disclosure:

M. E. Lara,
None;

M. Rivero,
None;

J. Romero,
None;

G. Palacios,
None;

I. Carrillo,
None;

C. L. Giraldo,
None;

A. Schiel,
None;

H. A. Laborde,
None;

M. Khoury,
None;

S. Diego,
None;

G. Citera,
None;

O. L. Rillo,
None;

J. C. Barreira,
None.

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