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Unsupervised Clustering of Membranoproliferative Glomerulonephritis and C3 Glomerulopathy Patients Discovers Distinct Patient Groups unlike the Current Classification.
Kovala, Marja; Seppälä, Minna; Wojnicki, Mikolaj; Honkanen, Eero; Meri, Seppo; Kaartinen, Kati; Räisänen-Sokolowski, Anne.
Afiliação
  • Kovala M; Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Seppälä M; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Wojnicki M; Department of Computer Science, Aalto University, Espoo, Finland.
  • Honkanen E; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Meri S; Department of Bacteriology and Immunology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Kaartinen K; Department of Nephrology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Räisänen-Sokolowski A; Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Nephron ; : 1-10, 2024 Jul 04.
Article em En | MEDLINE | ID: mdl-38964287
ABSTRACT

INTRODUCTION:

Membranoproliferative glomerulonephritis is currently divided into immunoglobulin-mediated glomerulonephritis (IC-MPGN) and C3 glomerulopathy (C3G); however, the patients often overlap with histology, complement, clinical and prognostic factors. Our aim was to investigate if an unsupervised clustering method finds different patient groups in 44 IC-MPGN/C3G patients using only histological and clinical data available in everyday clinical work.

METHODS:

Primary IC-MPGN/C3G adult patients were included whose diagnostic (baseline) native biopsy was obtained in 2006-2017. The biopsies were reassessed and the clinical data at baseline and during follow-up were obtained from the medical records. There were 39 baseline histological and clinical variables included in the unsupervised clustering. Follow-up information was combined with the clustering results.

RESULTS:

The clustering resulted in two clusters (n = 24 and n = 20 patients for clusters 1-2, respectively), where cluster 1 had a significantly higher baseline plasma creatinine (mean 213 vs. 104, respectively, p value <0.001) and a lower baseline eGFR than cluster 2 (mean 37 vs. 70, respectively, p value <0.001). Regarding histology, chronic changes such as lobulated glomeruli, mesangial matrix expansion, and glomeruli double contours were more prevalent in cluster 1 (p value <0.001). Biopsy morphology was more often crescentic and membranoproliferative in cluster 1 (p value <0.001). Although the differences were insignificant, cluster 1 patients were in dialysis in the last follow-up or had a progressive disease more often than cluster 2 patients (21% vs. 5%, 38% vs. 10%).

CONCLUSIONS:

Our results indicate that these patients share greater similarity than the current classification IC-MPGN versus C3G indicates.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article