Two Phenotypes are Identified by Cluster Analysis in Early Inflammatory Back Pain Suggestive of Spondyloarthritis. Results from the Desir Cohort.

juillet 7, 2016 | Posted by admin

Un nouvel article scientifique intitulé «Two Phenotypes are Identified by Cluster Analysis in Early Inflammatory Back Pain Suggestive of Spondyloarthritis. Results from the Desir Cohort.» a été publié dans le journal Arthritis Rheumatol.

Costantino F, Aegerter P, Dougados M, Breban M, D’Agostino MA

Arthritis Rheumatol. 2016 Feb 11. doi: 10.1002/art.39628.

Abstract

OBJECTIVE:

To examine whether in patients with early inflammatory back pain (IBP) suggestive of spondyloarthritis (SpA), disease manifestations at baseline would combine according to distinguishable ordered phenotypes.

METHODS:

Baseline clinical and demographic characteristics, as well as imaging and biological data of patients included in the French multicenter DESIR cohort were analyzed by multiple correspondence analysis and cluster analysis to identify subgroups of patients, based on shared characteristics.

RESULTS:

Cluster analysis allowed us to classify the 679 patients of the cohort with no missing data into 2 major groups: one with a predominance of isolated axial manifestations and the other with associated peripheral symptoms. The application of the same analysis to selected subsets of the cohort such as HLA-B27 positive and negative patients, and patients fulfilling the Assessment of SpondyloArthritis international Society classification criteria for axial SpA, resulted again in an optimal division of the samples into 2 recurrent clusters of patients, similar to those observed in the whole cohort.

CONCLUSION:

Cluster analysis of SpA manifestations among patients with early IBP highly suggestive of SpA, allowed us to clearly identify at baseline 2 different clinical phenotypes, one with predominant axial, and the other with predominant peripheral manifestations. Ongoing follow up will allow determining whether these clusters may correspond to different severity patterns. This article is protected by copyright. All rights reserved.

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