Identifying predictors of high sodium excretion in patients with heart failure: A mixed effect analysis of longitudinal data
European Journal of Cardiovascular Nursing
Published online on December 23, 2013
Abstract
A low-sodium diet is a core component of heart failure self-care but patients have difficulty following the diet.
The aim of this study was to identify predictors of higher than recommended sodium excretion among patients with heart failure.
The World Health Organization Five Dimensions of Adherence model was used to guide analysis of existing data collected from a prospective, longitudinal study of 280 community-dwelling adults with previously or currently symptomatic heart failure. Sodium excretion was measured objectively using 24-hour urine sodium measured at three time points over six months. A mixed effect logistic model identified predictors of higher than recommended sodium excretion.
The adjusted odds of higher sodium excretion were 2.90, (95% confidence interval (CI): 1.15–4.25, p<0.001) for patients who were obese; 2.80 (95% CI: 1.33–5.89, p=0.007) for patients with diabetes; and 2.22 (95% CI: 1.09–4.53, p=0.028) for patients who were cognitively intact.
Three factors were associated with excess sodium excretion and two factors, obesity and diabetes, are modifiable by changing dietary food patterns.