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ABSTRACT: Background
Different patient clusters were preliminarily suggested to dissect the clinical heterogeneity in Still's disease. Thus, we aimed at deriving and validating disease clusters in a multicentre, observational, prospective study to stratify these patients.Methods
Patients included in GIRRCS AOSD-study group and AIDA Network Still Disease Registry were assessed if variables for cluster analysis were available (age, systemic score, erythrocyte sedimentation rate (ESR), C reactive protein (CRP) and ferritin). K-means algorithm with Euclidean metric and Elbow plot were used to derive an adequate number of clusters.Results
K-means clustering assessment provided four clusters based on means standardised according to z-scores on 349 patients. All clusters mainly pres
SUBMITTER: Ruscitti P
PROVIDER: S-EPMC10660445 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature