Clinical Study on the Noninvasive Lung Fluid Monitoring System in Guiding the Treatment of Heart Failure

The main purpose of this study is to explore and validate the effectiveness by using ReDS™ to guide the treatment of heart failure patients during hospitalization and after discharge based on current routine treatment. The study is divided into two stages 1. Stage 1 is the observation stage for selected heart failure patients during the hospitalization period (from enrollment to discharge). During this stage, patients complete screening, enrollment, and randomization within 72 hours after admission, and are randomly assigned to the experimental group or control group in a 1:1 ratio. All patients receive ReDS™ measurement on the day after randomization, but without using measurement data to intervene the treatment during hospitalization. The randomization of patients and the measurement data remained blind to the treatment clinicians. 2. Stage 2 is the intervention stage, which lasts for 12 months. Firstly, two groups of patients receive ReDS™ measurement on the day of planned discharge. For the control group, this measurement data will still not used as a reference for discharge decision, and remains blind to clinicians; For the experimental group, treatment clinicians will give interventional therapy based on the ReDS™ results. Approximately 1000 patients will be randomly assigned to the experimental group or control group in a 1:1 ratio, with 500 patients in each group. Primary/secondary endpoint analysis: will be based on all randomized patients (i.e. ITT population). The Kaplan Meier method was used to estimate the median TTF for each study group. Using the Cox regression model, calculate the regression coefficients or HR values, and their 95% CI. Using forest maps (including HR estimates) to evaluate the homogeneity of intervention effects in important subgroups. The predetermined subgroup analysis will provide additional detailed information in SAP. The hypothesis of primary and secondary endpoints will be formally tested using SAS and Stata statistical software at a unilateral significance level of 0.025. Safety analysis: Randomized safety analysis based on the safety analysis population.