title: The predictive value of attributes of pain to classify rheumatoid arthritis.
abstract: Out of 2300 patients with rheumatic diseases 1627 were analysed to develop a classification of rheumatoid arthritis based on clinical attributes of pain. Of these, 641 patients had the disease and 986 were controls with other rheumatic conditions. For traditional format classification, six of eight variables were selected: pain at a fixed joint; symmetrical pain; continuous pain; pain mainly present at night or in the morning; pain following joint pressure; and pain decreased by load/movement. The occurrence of four or more of these features was associated with a 72.1% sensitivity and a 79.1% specificity. A classification tree constructed on four features that showed the greatest diagnostic power (symmetrical pain, pain mainly present at night or in the morning, pain at joint pressure, continuous pain), was associated with a 75.8% sensitivity and a 77.0% specificity.
authors.affiliation: Institute of Clinical Medicine, Division of Rheumatology, Second University of Naples, Modena, Italy. giolamon@netgroup.it
authors.forename: G
authors.initials: G
authors.lastname: La Montagna
authors.forename: A
authors.initials: A
authors.lastname: Baruffo
authors.forename: R
authors.initials: R
authors.lastname: Tirri
authors.forename: S
authors.initials: S
authors.lastname: Viaggi
mesh_terms: D000328:Adult; D000368:Aged; D001172:Arthritis, Rheumatoid / Q000145:classification* / Q000503:physiopathology; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010146:Pain / Q000209:etiology; D010147:Pain Measurement; D012680:Sensitivity and Specificity; D013997:Time Factors