Table 3 |
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|
Associations between rheumatoid factor and anti-CCP antibodies with insulin resistance alone and in combination with one another after serial adjustment |
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|
Variable |
Numbers of patients |
Association with HOMA-IR TRF & IP risk factor adjusted IR β-Coefficient OR (95% CI) # |
|
|
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|
RF +ve * |
90 (47%) |
0.867 (0.204, 1.530) |
|
ACPA +ve * |
66 (35%) |
1.423 (0.701, 2.146) |
|
RF-ve/ACPA -ve |
96 (49%) |
0 |
|
RF +ve/ ACPA -ve † |
29 (15%) |
-0.015 (-0.973, 0.944) |
|
ACPA+ve/ RF -ve† |
6 (3%) |
0.932 (-0.898, 2.763) |
|
Both RF+ve/ACPA+ve † |
60 (31%) |
1.472 (0.695, 2.250) √ |
|
|
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|
* = Seropositive vs. seronegative for RF and ACPA (n = 193 and 191, respectively) † = Patients stratified into four groups depending on autoantibody status and compared with other groups (n = 191) √ = Model significantly different in patients positive for both RF and ACPA relative to those RF positive only (P = 0.0061) with age and gender and other parameters adjusted.) ▲Linear regression producing β-coefficients were used for continuous outcome. β-coefficients are considered statistically significant if their 95% CI values do not include zero. #Logistic regression producing odds ratios used for binary outcomes. Odds ratios are considered significant if the 95% CI values do not include 1. ACPA, anti-CCP antibody; IP, inflammatory polyarthritis; RF, rheumatoid factor. |
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Mirjafari et al. Arthritis Research & Therapy 2011 13:R159 doi:10.1186/ar3476 |
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