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This clinical study is a multicenter, randomized, controlled clinical study to evaluate the effectiveness of using the noninvasive lung fluid monitoring system based on remote dielectric sensing in guiding the treatment of heart failure.
Full description
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
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.
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1,000 participants in 2 patient groups
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Central trial contact
Xiaotong Cui
Data sourced from clinicaltrials.gov
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