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.
Study Type
OBSERVATIONAL
Enrollment
256
no intervention : observational
CH Saint Joseph Saint Luc
Lyon, France
HCL Edouard Herriot
Lyon, France
HCL Lyon Sud
Lyon, France
ARTIC42
Saint-Etienne, France
CHAL
Sallanches, France
CALYDIAL
Vienne, France
identify and characterize symptom clusters
identify and characterize symptom clusters using tetrachoric correlations and hierarchical clustering
Time frame: one day enrollment
examine associations between symptoms (and clusters) and comorbidity burden
examine associations between symptoms (and clusters) and comorbidity burden, while assessing potential sex-specific patterns in symptom expression
Time frame: one day enrollment
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