Proteinuria and blood pressure as causal components of progression to end-stage renal failure. Northern Italian Cooperative Study Group

F Locatelli, D Marcelli, M Comelli, D Alberti, G Graziani, G Buccianti, B Redaelli, A Giangrande
Nephrology, Dialysis, Transplantation 1996, 11 (3): 461-7

AIMS: To identify the prognostic factors possibly related to end-stage renal failure development.

SUBJECTS AND METHODS: The prognostic factors affecting chronic renal failure progression were analysed in 456 patients who had participated in a formal, multicentre, prospective randomized trial aimed at verifying the role of protein restriction in slowing down or halting the progression of chronic renal failure. The 24-month follow-up foreseen by the protocol was completed by 311 patients and 69 reached an end-point. An inductive analysis on patient survival was made by using the Cox proportional hazard regression model, using a stepwise procedure in order to select only those factors which are significantly associated with survival. For each individual risk factor, a univariate descriptive analysis of survival was performed using the Kaplan-Meier technique.

RESULTS: Underlying nephropathy, baseline plasma creatinine, proteinuria, and plasma calcium were all shown to be related to end-stage renal failure onset. Hypertensive patients (mean blood pressure > 107 mmHg) had a worst cumulative renal survival but the degree of proteinuria was even more important as a prognostic factor of renal death than hypertension. The cumulative renal survival of patients whose proteinuria decreased during the trial follow-up was better than those of patients without changes. However, the interaction between baseline lying mean blood pressure and proteinuria was not significant.

CONCLUSIONS: Only primary renal disease and proteinuria were related to renal survival, being baseline plasma creatinine confounding factor. By blocking the possible causal role of proteinuria and hypertension, end-stage renal failure could be prevented in a significant percentage of patients.


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