title: The prognostic value of renal biopsy in type 2 diabetes mellitus patients affected by diabetic glomerulosclerosis.
abstract: BACKGROUND
  Although several studies have dealt with clinicopathological correlations in diabetic glomerulosclerosis (DGS), few have investigated the prognostic value of the renal biopsy.
  
  
  METHODS
  One hundred and thirty-five type2 diabetes mellitus (DM) patients with bioptically proven DGS and a mean follow-up of 56.1 months were subdivided in 5 groups according to the outcome: 1) living with preserved renal function; 2) living with renal failure, not requiring dialysis; 3) living in dialysis; 4) dead in dialysis; 5) dead with preserved renal function. Duration of DM, creatininemia and proteinuria values at the time of biopsy and a histologic scoring (from 0 to 3) of 10 morphologic features were considered for statistical analysis.
  
  
  RESULTS
  Statistically significant differences were observed in the distribution of the above mentioned parameters in the 5 groups with the exception of the duration of DM. The prognosis of DGS is poor: 79 patients needed dialysis and 60 died. Univariate analysis demonstrated the prognostic value of creatininemia (>or= 1.5 mg/dL), proteinuria (>or= 3 g/d) and histologic score (>or= 10) in assessing the relative risk of progression to dialysis (OR= 9.75, 4.12 and 11 respectively). The prognostic value of the histologic score (<or= 1 vs >or= 2) was maintained when each morphologic parameter was separately evaluated (OR ranging from 2.8 to 8.5). Multivariate analysis was applied and only serum creatinine and histological score maintained their statistical significance (OR=4.45 and 2.46). The independence of these two variables means that the risk of progression to dialysis is multiplied in each single patient.
  
  
  CONCLUSIONS
  Renal biopsy adds reliable information to that supplied by clinical and laboratory findings in DGS and therefore its extensive adoption should be recommended. Thanks to the prognostic value of the single morphologic parameters, also small tissue samples can give reliable results.
authors.affiliation: Department of Biomedical Sciences and Human Oncology, University of Turin, Turin - Italy. gianna.mazzucco@unito.it
authors.forename: Gianna
authors.initials: G
authors.lastname: Mazzucco
authors.forename: Tullio
authors.initials: T
authors.lastname: Bertani
authors.forename: Mirella
authors.initials: M
authors.lastname: Fortunato
authors.forename: Fabrizio
authors.initials: F
authors.lastname: Fop
authors.forename: Guido
authors.initials: G
authors.lastname: Monga
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001707:Biopsy, Needle; D003924:Diabetes Mellitus, Type 2 / Q000150:complications / Q000473:pathology*; D003928:Diabetic Nephropathies / Q000150:complications / Q000473:pathology*; D018450:Disease Progression; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007678:Kidney Glomerulus / Q000648:ultrastructure*; D008297:Male; D008854:Microscopy, Electron; D008875:Middle Aged; D011379:Prognosis; D012189:Retrospective Studies