Exploring the Potential of Cluster Analysis in Identifying Disease Phenotypes in Calcium Pyrophosphate Deposition: Moving From Intuition to Insight
Authors' conclusion
In conclusion, by using for the first time a robust, data-driven methodology based on real-world data, two clusters similar to the EULAR phenotypes "acute CPP crystal arthritis," and "chronic CPP crystal inflammatory arthritis" were confirmed, but in addition, two more clusters that do not correspond to any existing EULAR phenotypes were also identified.
Study context
- Population
- Patients with CPPD disease from the COLCHICORT trial and the CHRONIC CPPD European observational cohort
- Participants
- 134 patients
- Comparison
- Cluster 1 vs Cluster 2 vs Cluster 3 vs Cluster 4
- Primary endpoint
- Clinical phenotypes of CPPD disease (clusters)
Methodological detailsmultiple correspondence analysis, hierarchical clustering on principal components (Ward, Euclidean distance), real-world data from two data sets
- Multiple correspondence analysis
- Hierarchical clustering on principal components (Ward, Euclidean distance)
- Real-world data from two data sets
Primary result
As reported in the abstract
CPPD clinical phenotype clusters
Four distinct clusters identified
4
Original publication
Exploring the Potential of Cluster Analysis in Identifying Disease Phenotypes in Calcium Pyrophosphate Deposition: Moving From Intuition to Insight. Arthritis Rheumatol. Published 18 September 2026. doi:10.
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