U.S., Aug. 2 -- ClinicalTrials.gov registry received information related to the study (NCT07099885) titled 'Simple Urine Composition-based Personalized Algorithm for Effective Congestion Relief in Decompensated Heart Failure' on July 15.
Brief Summary: The aim of this study is to evaluate the effectiveness of loop diuretic adaptative algorithm that is based on machine learning, urine output prediction tool, in decongestion of acute heart failure patients.
A total of 90 patients will be enrolled in the study. Of these, 45 will be assigned to the algorithm-based intervention group, while the remaining 45 will serve as the control group. In the control group, all decisions regarding diuretic therapy will be made solely by the attending physi...