Modeling a Predictive Energy Equation Specific for Maintenance Hemodialysis.

ABSTRACT:

Background

Hypermetabolism is theorized in patients diagnosed with chronic kidney disease who are receiving maintenance hemodialysis (MHD). We aimed to distinguish key disease-specific determinants of resting energy expenditure to create a predictive energy equation that more precisely establishes energy needs with the intent of preventing protein-energy wasting.

Materials and methods

For this 3-year multisite cross-sectional study (N = 116), eligible participants were diagnosed with chronic kidney disease and were receiving MHD for at least 3 months. Predictors for the model included weight, sex, age, C-reactive protein (CRP), glycosylated hemoglobin, and serum creatinine. The outcome variable was measured resting energy expenditure (mREE). Regression modeling was used to g

SUBMITTER: Byham-Gray LD 

PROVIDER: S-EPMC5711615 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature