New classification for gout

NewsBot · Mar 19, 2015

Members do not see these Ads. Sign Up.
Study for Updated Gout Classification Criteria (SUGAR): identification of features to classify gout.
Taylor WJ, Fransen J, Jansen TL, Dalbeth N, Schumacher HR, Brown M, Louthrenoo W, Vazquez-Mellado J, Eliseev M, McCarthy G, Stamp LK, Perez-Ruiz F, Sivera F, Ea HK, Gerritsen M, Scire C, Cavagna L, Lin C, Chou YY, Tausche AK, Vargas-Santos AB, Janssen M, Chen JH, Slot O, Cimmino MA, Uhlig T, Neogi T.
Arthritis Care Res (Hoboken). 2015 Mar 16

OBJECTIVE:
To determine which clinical, laboratory and imaging features most accurately distinguished gout from non-gout.
METHODS:
A cross-sectional study of consecutive rheumatology clinic patients with at least one swollen joint or subcutaneous tophus. Gout was defined by synovial fluid or tophus aspirate microscopy by certified examiners in all patients. The sample was randomly divided into a model development (2/3) and test sample (1/3). Univariate and multivariate association between clinical features and MSU-defined gout was determined using logistic regression modelling. Shrinkage of regression weights was performed to prevent over-fitting of the final model. Latent class analysis was conducted to identify patterns of joint involvement.
RESULTS:
In total, 983 patients were included. Gout was present in 509 (52%). In the development sample (n=653), these features were selected for the final model (multivariate OR) joint erythema (2.13), difficulty walking (7.34), time to maximal pain < 24 hours (1.32), resolution by 2 weeks (3.58), tophus (7.29), MTP1 ever involved (2.30), location of currently tender joints: Other foot/ankle (2.28), MTP1 (2.82), serum urate level > 6mg/dl (0.36 mmol/l) (3.35), ultrasound double contour sign (7.23), Xray erosion or cyst (2.49). The final model performed adequately in the test set with no evidence of misfit, high discrimination and predictive ability. MTP1 involvement was the most common joint pattern (39.4%) in gout cases.
CONCLUSION:
Ten key discriminating features have been identified for further evaluation for new gout classification criteria. Ultrasound findings and degree of uricemia add discriminating value, and will significantly contribute to more accurate classification criteria. This article is protected by copyright
Click to expand...

Admin2 · Mar 19, 2015

Related Threads:
Other threads tagged with gout
The latest on gout

NewsBot The Admin that posts the news.

Admin2 Administrator Staff Member

The Thanks Classification for Paediatric Flexible Flatfoot

Assessment and classification of upper and lower limb pain in athletes

Dynamic Foot Classification

Hubscher Manoeuvre classification

Classification Approaches for Treating Low Back Pain Are Not Clinically Meaninful

Anatomical Classification for Tibialis Posterior Tendon Insertion

Classification of the interosseous tarsometatarsal ligaments of the foot

Share This Page