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. Author manuscript; available in PMC: 2011 Aug 23.
Published in final edited form as: J Rheumatol. 2005 Feb;32(2):231–238.

Table 4.

The predictive value of a range of baseline characteristics for the development of persistent RA in patients with very early inflammatory arthritis. Results of binary logistic regression analysis.

RA Persistent, Other, Univariate
Analysis
Binary Logistic Regression Analysis
n = 19 n = 77 p OR (95% CI)* p
Age, yrs, median (IQR) 67 (59–74) 41 (30–56) < 0.001 1.08 (1.01–1.2) 0.02
Female, % 58 40 0.26 1.5 (0.3–8.7) 0.65
Symptom duration > 6
weeks, %
47 38 0.55 0.4 (0.05–3.4) 0.41
EMS ≥ 1 h, % 53 34 0.09 1.03 (0.1–7.4) 0.98
Arthritis of ≥ 3 joint
areas, %
58 27 0.02 1.7 (0.2–12.2) 0.62
Arthritis of wrist or MCP
or PIP joints, %
79 36 0.002 5.3 (0.7–42.1) 0.11
Symmetrical arthritis, % 37 21 0.27 10.2 (1.1–96.2) 0.04
Subcutaneous nodules, % 5 3 0.53 0.5 (0.01–24) 0.72
RF ELISA positive and
anti-CCP ELISA positive, %
63 3 < 0.001 79.6 (7.5–849.9) < 0.001
*

For age, the odds ratio is per year-increase in age. EMS: early morning stiffness. MCP: metacarpophalangeal. PIP: proximal interphalangeal.