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Semiquantitative classification (SQC) and Oxford classifications predict poor renal outcome better than The International Study of Kidney Disease in Children (ISKDC) and Haas in patients with IgAV nephritis: a multicenter study.

Nastasia KiferStela BulimbasicMario ŠestanMartina HeldDomagoj KiferSasa SrsenAna Gudelj GracaninMerav Heshin BekensteinTeresa GianiRolando CimazAlenka GagroMarijan FrkovićMarijana CoricMarija Jelusic
Published in: Journal of nephrology (2022)
The SQC, followed by the Oxford classification were found to provide the best classifications of renal biopsy analysis in patients to predict the outcome in patients with IgAVN. Cellular crescents, mesangial hypercellularity and tubular atrophy showed significant contributions, indicating that active and chronic variables should be included in the estimation.
Keyphrases
  • end stage renal disease
  • machine learning
  • deep learning
  • ejection fraction
  • chronic kidney disease
  • young adults
  • peritoneal dialysis
  • prognostic factors
  • high glucose
  • ultrasound guided
  • endothelial cells
  • data analysis