Spatial and seasonal patterns of pediatric idiopathic nephrotic syndrome in France

BACKGROUND AND HYPOTHESIS: Idiopathic nephrotic syndrome (INS) is the most frequent glomerular disease in children, yet robust population-based data remain limited, particularly at the national level. We hypothesized that nationwide health data could provide reliable estimates of INS incidence and help characterize its spatial and temporal patterns. METHODS: We conducted a nationwide cohort study using the French National Health Data System (SNDS), which covers nearly the entire population and captures hospital, emergency, and day-care activity. Children and adolescents < 20 years with an in-hospital diagnosis of nephrotic syndrome between 2013 and 2023 were identified and validated through oral corticosteroid (OCS) dispensing. A 7-year wash-out period excluded prevalent cases. We estimated national incidence, identified spatial clusters using SaTScan, and assessed seasonality using Seasonal-Trend Decomposition (STL). RESULTS: The analytic cohort included 4 475 incident INS cases (62% boys; median age, 6 years). External validation against the NEPHROVIR cohort showed 84% sensitivity with comparable age and sex distributions. The national mean annual incidence was 2.49 per 100 000 person-years (95% CI, 2.41-2.56), higher in boys (3.05) than in girls (1.93). Two significant high-risk clusters were identified: the Paris area (standardized incidence ratio [SIR], 1.59; P < 0.001) and south-western France (SIR, 1.34; P < 0.001). These clusters were consistent across sensitivity analyses. STL analysis revealed a reproducible bimodal seasonal pattern with peaks in winter and late spring. CONCLUSIONS: This nationwide study provides robust estimates of pediatric INS incidence in France and identifies geographic clustering and consistent seasonal patterns, suggesting a potential role for environmental and infectious factors.

Authors

Institutions

Publication Details

Journal
Nephrology Dialysis Transplantation
Published
2026-08-25
DOI
https://doi.org/10.1093/ndt/gfag193
Primary Topic
Renal Diseases and Glomerulopathies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial and seasonal patterns of pediatric idiopathic nephrotic syndrome in France

Charlotte Duneton, Cyrielle Parmentier, Florentia Kaguelidou, Zaba Valtuille et al.
Nephrology Dialysis Transplantation
Renal Diseases and Glomerulopathies
article

Spatial and seasonal patterns of pediatric idiopathic nephrotic syndrome in France

Charlotte Duneton, Cyrielle Parmentier, Florentia Kaguelidou, Zaba Valtuille, Élodie Merieau, Claire Dossier, Tim Ulinski, Julien Hogan, Florian Bayer
article en

Abstract

BACKGROUND AND HYPOTHESIS: Idiopathic nephrotic syndrome (INS) is the most frequent glomerular disease in children, yet robust population-based data remain limited, particularly at the national level. We hypothesized that nationwide health data could provide reliable estimates of INS incidence and help characterize its spatial and temporal patterns. METHODS: We conducted a nationwide cohort study using the French National Health Data System (SNDS), which covers nearly the entire population and captures hospital, emergency, and day-care activity. Children and adolescents < 20 years with an in-hospital diagnosis of nephrotic syndrome between 2013 and 2023 were identified and validated through oral corticosteroid (OCS) dispensing. A 7-year wash-out period excluded prevalent cases. We estimated national incidence, identified spatial clusters using SaTScan, and assessed seasonality using Seasonal-Trend Decomposition (STL). RESULTS: The analytic cohort included 4 475 incident INS cases (62% boys; median age, 6 years). External validation against the NEPHROVIR cohort showed 84% sensitivity with comparable age and sex distributions. The national mean annual incidence was 2.49 per 100 000 person-years (95% CI, 2.41-2.56), higher in boys (3.05) than in girls (1.93). Two significant high-risk clusters were identified: the Paris area (standardized incidence ratio [SIR], 1.59; P < 0.001) and south-western France (SIR, 1.34; P < 0.001). These clusters were consistent across sensitivity analyses. STL analysis revealed a reproducible bimodal seasonal pattern with peaks in winter and late spring. CONCLUSIONS: This nationwide study provides robust estimates of pediatric INS incidence in France and identifies geographic clustering and consistent seasonal patterns, suggesting a potential role for environmental and infectious factors.

Nephrology Dialysis Transplantation
Inserm (FR), Université Paris Cité (FR), Sorbonne Université (FR), Hôpital Armand-Trousseau (FR), Sorbonne Paris Cité (FR), Centre Hospitalier Universitaire de Tours (FR), Hôpital Robert-Debré (FR), Établissement Français du Sang (FR), Paris Cardiovascular Research Center (FR)
Openalex Percentile: Top 10%
Renal Diseases and Glomerulopathies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.