Symptom Clusters in Hemodialysis : Insights From a Multicenter Analysis Using Tetrachoric Correlations

In 2025, Guerraoui et al. published the Concordance Study in Clinical Kidney Journal, a large multicenter cross-sectional study embedded within the French REIN registry. This study compared symptoms reported by hemodialysis patients using the Dialysis Symptom Index (DSI) with clinician-perceived symptoms, revealing a high symptom burden and marked patient-clinician discordance [3].

The present work is a secondary analysis of the Concordance Study dataset. Building on the original findings, this analysis aims to deepen understanding of symptom organization and determinants in hemodialysis using multivariate and correlation-based approaches. Specifically, our objectives were :

1. to identify and characterize symptom clusters using tetrachoric correlations and hierarchical clustering;
2. to examine associations between symptoms (and clusters) and comorbidity burden, while assessing potential sex-specific patterns in symptom expression.

Through this secondary analysis, we aim to clarify the internal architecture of symptom co-occurrence, identify key demographic drivers such as sex, and generate evidence supporting cluster-informed, individualized approaches to symptom assessment and management in routine nephrology care.