This study aims to investigate whether using a low-sodium substitute salt can help improve outcomes for patients with heart failure. Specifically, it will examine if the low-sodium substitute salt can reduce death rates, hospital readmissions, and emergency visits, as well as improve the quality of life for these patients.
The study will involve multiple centers and use a randomized, double-blind, controlled design, where participants will be randomly assigned to either the intervention group (who will use the low-sodium substitute salt ) or the control group (who will use regular salt). Participants will be followed up for at least a year, assessing outcomes including all cause mortality, heart failure hospitalizations, emergency visits, and changes in quality of life as measured by a questionnaire. Eligible participants will be between 18 and 75 years old, have been hospitalized for heart failure in the past year, and have stable heart failure. The study will exclude individuals with severe heart failure, uncontrolled health conditions, or other factors that may interfere with participation. The main goals are to determine if reducing sodium intake through the low-sodium substitute salt leads to better health outcomes in heart failure patients over a year. Participants will be followed up at 3, 6, 9, and 12 months. This research will help provide evidence for whether a simple dietary change, like using a low-sodium substitute salt , can make a meaningful difference in managing heart failure
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
1,301
This study specifically customized sodium reducing substitute salts with a sodium chloride content not exceeding 62% and without the addition of potassium chloride.
Anzhen Hospital, Capital Medical University
Beijing, Beijing Municipality, China
RECRUITINGPercentage of pairwise comparisons with wins of a composite endpoint including 1-year death, the number of HF hospitalizations/emergency visits, time to the first HF hospitalization/emergency visit, and the change in quality of life at 12 months
Clinical benefit, a composite of all cause death, the number of HFHs/emergency visits, time to the first HFH/emergency visit, and the change in quality of life (Kansas City Cardiomyopathy Questionnaire-12 (KCCQ-12) )at 1 year. All patients randomized to low-sodium group are compared to those randomized to control group within strata. For any two patients, a patient will win, i.e. achieve a better clinical outcome, as determined by assessing the following criteria sequentially, stopping when an advantage for either patient is shown: 1. Death: death is worse than no death; earlier death is worse; tied if not possible to determine. 2. Number of HF hospitalizations/emergency visits,: more HFHs/emergency visits is worse; tied, if same number. 3. Time to first HFH/emergency visit: earlier HFH/emergency visit is worse; tied, if not possible to determine. 4. KCCQ-12 at 1 year: Higher KCCQ-12 is better. The KCCQ-12 ranges from 0 to 100, where a higher score reflects a better outcome.
Time frame: From enrollment to the end of follow-up at 1 year
1-year all-cause mortality
Time frame: From enrollment to the end of follow-up at 1 year
The number of heart failure hospitalizations/emergency visits within 1 year
Time frame: From enrollment to the end of follow-up at 1 year
Time from randomization to the first heart failure hospitalization/emergency visit
Time frame: From enrollment to the end of follow-up at 1 year
Cardiovascular mortality within 1 year
Time frame: From enrollment to the end of follow-up at 1 year
Change in heart failure quality of life score (KCCQ)
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The KCCQ-12 ranges from 0 to 100, where a higher score reflects a better outcome.
Time frame: From enrollment to the end of follow-up at 1 year
Change in frailty score for heart failure (FRIED scale)
The FRIED scale assesses frailty in older adults based on five criteria: weight loss, exhaustion, weakness, slowness, and low activity. Frailty is classified as non-frail (0), pre-frail (1-2), or frail (≥3), predicting risks like falls, hospitalization, and mortality.
Time frame: From enrollment to the end of follow-up at 1 year