The rate of progression of renal failure was analyzed in 19 patients with biopsy-proven chronic primary glomerular diseases, by the slope (regression coefficient) of the linear regression of reciprocal serum creatinine on time. The relative importance of proteinuria, sex, underlying disease and components of arterial pressure (systolic, diastolic and mean) was tested using stepwise multiple linear regression, the dependent variable being the slope of progression. We found that the only variable significantly related with slopes of progression was arterial pressure. Hypertension was found in 14 of the 19 patients. There was a significant linear relationship (p < 0.05) between mean arterial pressure and slopes of progression. Notwithstanding, the best fit to the data follows a quadratic function (p < 0.001 for mean arterial pressure), which corresponds to a negative parabolic curve. Therefore, either low or high values of mean arterial pressure were associated with faster mean progression rates. Thus, an accurate approach of this relationship fits a nonlinear regression model.