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. Author manuscript; available in PMC: 2016 Mar 3.
Published in final edited form as: Ann Rheum Dis. 2013 Apr 20;73(6):1060–1066. doi: 10.1136/annrheumdis-2012-202849

Table 2. Predictors of Restrictive Lung Disease in SSc Skin Subtypes.

Unadjusted* Adjusted Logistic Models**
Demographics Anti-Scl-70 Status ACA Status All Predictors

Type§ OR
95% CI
P OR
95% CI
P OR P OR P OR P
 0 vs. 2 0.5 [0.3, 0.8] 0.009 0.5 [0.3, 0.8] 0.009 0.9 [0.4, 2.1] 0.8 0.7 [0.3, 1.5] 0.3 0.8 [0.3, 2.1] 0.7
 1 vs. 2 0.7 [0.5, 0.9] 0.02 0.6 [0.4, 0.9] 0.01 0.6 [0.4, 1.0] 0.045 0.7 [0.4, 1.1] 0.09 0.7 [0.4, 1.1] 0.09
 3 vs. 2 1.5 [1.1, 2.1] 0.02 1.3 [0.9, 1.8] 0.2 1.1 [0.7, 1.8] 0.7 0.8 [0.5, 1.3] 0.3 0.8 [0.4, 1.3] 0.3
Scl-70 2.2 [1.6, 3.0] <0.001 2.1 [1.5, 2.9] <0.001 NA NA 1.4 [1.0, 2.0] 0.045 1.6 [1.1, 2.2] 0.01
ACA 0.2 [0.2, 0.3] <0.001 0.3 [0.2, 0.4] <0.001 0.3 [0.2, 0.4] <0.001 NA NA 0.3 [0.2, 0.5] <0.001
Muscle Disease 2.8 [2.0, 3.8] <0.001 2.5 [1.8, 3.5] <0.001 2.6 [1.8, 4.0] <0.001 1.8 [1.2, 2.6] 0.006 1.9 [1.2, 2.9] 0.003
*

Simple logistic regression model used to determine the association of each predictor with the odds of developing RLD

**

Multiple logistic regression models controlling for demographics (including sex, age at onset, disease duration, race, and smoking status), Scl-70, ACA status or all predictors together.

§

Type 2 patients are used as a reference for to assessment of the relationship between SSc skin disease type and RLD risk. OR = odds ratio; 95% CI = 95% confidence interval; Scl-70 = topoisomerase I; ACA = anti-centromere; NA = not applicable