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. Author manuscript; available in PMC: 2010 Aug 1.
Published in final edited form as: Arthritis Rheum. 2009 Aug;60(8):2480–2489. doi: 10.1002/art.24684

Table 4.

Associations of positive anti-B2GPI and aCL antibody testing with clinical features of macrovascular disease and mortality in SSc patients

   Digital Loss Cases
(n=75)
Controls
(n=75)
OR (95% CI)§ OR (95%CI)
Anti-B2GPI
Any Positive % (n) 36 (27) 19 (14) 2.4 (1.1, 5.3)
IgM 27 (20) 15 (11) 2.0 (0.9, 4.5)
IgA 17 (13) 5 (4) 4.0 (1.1, 14.2)
IgG 1 (1) 0 (0) NA
Anti-cardiolipin
Any positive % (n) 24 (18) 13 (10) 2.1 (0.9, 5.3)
IgM 19 (14) 12 (9) 1.7 (0.7, 4.4)
IgA 4 (3) 0 (0) NA
IgG 9 (7) 3 (2) 6.0 (0.7, 49.8)

   Active Digital Ischemia Active
(n=52)
Inactive
(n=98)
Anti-B2GPI
Any Positive % (n) 50 (26) 15 (15) 5.5 (2.6, 12.0) 9.4 (3.5, 25.4)
IgM 38 (20) 11 (11) 4.9 (2.1, 11.4) 13.9 (4.4, 43.5)
IgA 23 (12) 5 (5) 5.6 (1.8, 16.9) 4.5 (1.4, 15.3)
IgG 0 (0) 1 (1) NA NA
Anti-cardiolipin
Any % (n) 21 (11) 17 (17) 1.3 (0.5, 3.0) 1.2 (0.5, 3.3)
IgM 19 (10) 13 (13) 1.6 (0.6, 3.8) 1.7 (0.6, 4.9)
IgA 6 (3) 0 (0) NA NA
IgG 6 (3) 6 (6) 0.9 (0.2, 3.9) 0.5 (0.1, 2.8)

   eRVSP >40mmHg
(n=56)
<40 mmHg
(n=94)
Anti-B2GPI
Any Positive % (n) 48 (27) 15 (14) 5.3 (2.5, 11.5) 4.8 (1.0, 11.4)
IgM 38 (21) 11 (10) 5.0 (2.2, 11.8) 5.4 (2.1, 14.4)
IgA 21 (12) 5 (5) 4.9 (1.6, 14.6) 4.6 (1.3, 15.7)
IgG 2 (1) 0 (0) NA NA
Anti-cardiolipin
Any Positive % (n) 27 (15) 14 (13) 2.3 (1.0, 5.2) 1.7 (0.7, 4.1)
IgM 21 (12) 12 (11) 2.1 (0.8, 5.0) 1.6 (0.6, 4.2)
IgA 5 (3) 0 (0) NA NA
IgG 13 (7) 2 (2) 6.6 (1.3, 32.9) 4.1 (0.7, 22.4)

   Status Dead
(n=39)
Alive
(n=98)
Anti-B2GPI
Any Positive % (n) 43 (17) 23 (23) 2.5 (1.1, 5.5) 2.9 (1.1, 7.7)
IgM 30 (12) 18 (17) 2.0 (0.86, 4.7) 3.1 (1.1, 9.2)
IgA 23 (9) 7 (7) 3.9 (1.3, 10.9) 2.8 (0.8, 9.6)
IgG 0 (0) 1 (1) NA NA
Anti-cardiolipin
Any % (n) 25 (10) 14 (14) 2.0 (0.8, 5.0) 2.2 (0.8, 6.3)
IgM 23 (9) 11 (11) 2.3 (0.8, 6.0) 2.8 (0.9, 8.6)
IgA 8 (3) 0 (0) NA NA
IgG 8 (3) 5 (5) 1.5 (0.3, 6.5) 1.1 (0.2, 6.8)
§

Based on an unadjusted conditional logistic regression (for Digital Loss) or logistic regression models for Digital Ischemia, eRVSP and Mortality.

Odds ratio with 95% confidence interval adjusted for age, gender, race, disease type, smoking and centromere status.