Objective. To evaluate whether rheumatoid arthritis (RA) is associated
with a characteristic clinical pattern of pain which may be useful as
a criterion to differentiate RA from other rheumatic diseases. Method
s. 2300 patients from the ReumaLink data bank project with definite rh
eumatic diseases were studied. Of these 907 patients (39.5%) fulfilled
the ARA/ACR revised criteria for RA, while 1393 had rheumatic disease
s other than RA. The following diagnostic attributes of pain were cons
idered: localization, symmetry, continuity, modulation, relationship w
ith time and with loads/movements, tenderness. Results. After a descri
ptive analysis, some pain characteristics were selected individually a
nd others were combined Only 8 variables were considered for a predict
ive analysis. Univariate analysis showed that symmetric pain is the mo
st potent discriminating item, with 82.2% sensitivity, 69.2% specifici
ty, a 61% positive predictive value and a 83.3% negative predictive va
lue. A higher probability of RA was present in patients with symmetric
pain than in those with asymmetric pain (odds ratio = 7.8). A multiva
riate analysis performed on 1627 patients showed that a specific clini
cal pattern of pain (symmetrical pain, pain following joint pressure,
mainly present at night or in the morning, continuous) could predict R
A patients with a 68.9% likelihood. The lack of these symptoms exclude
d RA with 92% probability. Conclusion. The clinical pattern of pain de
fined by us cart predict RA with a 70% probability This value reaches
86% when the variables ''pain in a fixed joint'' and ''pain decreased
by load/movements'' are added These results indicate that determining
the clinical pattern of pain is a useful screening tool for suspected
RA, in particular early ir? the disease course.