This prospective study assessed the interactions between patterns of nutrient intake and serum lipids with other risk factors for progression of @entity177 . The study cohort consisted of 52 individuals with documented @entity177 , 18 @entity1 and 34 @entity1 , with a mean age of 65 +/- 11 years at the time of recruitment. The dependent variable was the rate of progression of @entity177 , which was determined by the slope of the curve generated from five or more values of the reciprocal of serum @entity1011 (SCr-1) and divided by time (in months of follow-up) for each @entity1 , and recorded in dung/month. The independent variables included dietary factors ( @entity3151 , protein); serum lipids (total @entity165 , LDL- @entity165 , HDL- @entity165 , @entity1674 ); @entity644 ; serum @entity3151 ; serum albumin; serum @entity413 ; and blood pressure. Serum @entity1011 was drawn in a fasting state and determined using the picric acid technique on five or more occasions for each @entity1 . The mean monthly rate of decline in dL/mg/month was calculated for each @entity1 . The cohort was followed for 1.5 years. Descriptive statistics were determined for all variables. Analysis of principal components was used to generate variables representing patterns of nutrient intake and serum lipids. The outcome variable was modeled using stepwise linear regression which included principal components representing dietary and serum lipid patterns. The Student's t test and the F test were used for hypothesis testing. All tests were significant at p < 0.05. RESULTS AND CONCLUSIONS: Multicolinearity prevented the inclusion of more than one individual dietary or serum lipid variable into the multiple linear regression model of rate of @entity8 . Principal components representing patterns of dietary intake and serum lipids, contributed to the prediction of rate of decline in renal function together with @entity644 .

Patterns of dietary intake and serum lipids interact with XXXX as risk factors for progression of @entity177 .

@entity1 :: ('9606', 'Species') :: ['women', 'patient', 'men'] @entity644 :: ('MESH:D011507', 'Disease') :: ['proteinuria'] @entity8 :: ('MESH:D007674', 'Disease') :: ['decline in kidney function'] @entity1674 :: ('MESH:D014280', 'Chemical') :: ['triglycerides'] @entity177 :: ('MESH:D051437', 'Disease') :: ['chronic renal failure'] @entity1011 :: ('MESH:D003404', 'Chemical') :: ['creatinine'] @entity3151 :: ('MESH:D010758', 'Chemical') :: ['phosphorus'] @entity413 :: ('MESH:D005947', 'Chemical') :: ['glucose'] @entity165 :: ('MESH:D002784', 'Chemical') :: ['cholesterol']
@entity644 :: (MESH:D011507,Disease) :: ['proteinuria']
