Identifying Predictors of High Sodium Excretion in Patients with Heart Failure: A Mixed Effect Analysis of Longitudinal Data
Penn collection
Degree type
Discipline
Subject
Cohort Studies
Confidence Intervals
Diabetes Mellitus, Type 2
Diet, Sodium-Restricted
Disease-Free Survival
Female
Heart Failure
Humans
Longitudinal Studies
Male
Middle Aged
Obesity
Odds Ratio
Patient Compliance
Patient Education as Topic
Predictive Value of Tests
Prognosis
Prospective Studies
Risk Assessment
Severity of Illness Index
Sodium, Dietary
Statistics as Topic
Survival Analysis
Urinalysis
World Health Organization
Aged
Cohort Studies
Confidence Intervals
Diabetes Mellitus
Type 2
Diet
Sodium-Restricted
Disease-Free Survival
Female
Heart Failure
Humans
Longitudinal Studies
Male
Middle Aged
Obesity
Odds Ratio
Patient Compliance
Patient Education as Topic
Predictive Value of Tests
Prognosis
Prospective Studies
Risk Assessment
Severity of Illness Index
Sodium
Dietary
Statistics as Topic
Survival Analysis
Urinalysis
World Health Organization
Cardiology
Cardiovascular Diseases
Circulatory and Respiratory Physiology
Medical Humanities
Medicine and Health Sciences
Nursing
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Abstract
BACKGROUND: A low-sodium diet is a core component of heart failure self-care but patients have difficulty following the diet. AIM: The aim of this study was to identify predictors of higher than recommended sodium excretion among patients with heart failure. METHODS: 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. RESULTS: The adjusted odds of higher sodium excretion were 2.90, (95% confidence interval (CI): 1.15-4.25, pp=0.007) for patients with diabetes; and 2.22 (95% CI: 1.09-4.53, p=0.028) for patients who were cognitively intact. CONCLUSION: Three factors were associated with excess sodium excretion and two factors, obesity and diabetes, are modifiable by changing dietary food patterns.