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Non-invasive Focused Power Ultrasound Mediated Inferior Perirenal Fat Ablation for Lowering Serum Cholesterol
The goal of this clinical trial is to learn about focused power ultrasound (FPU)-mediated perirenal fat (PRF) ablation for lowering serum cholesterol levels. The main questions it aims to answer are: What is the efficacy, safety, and tolerability of focused power ultrasound (FPU)-mediated perirenal fat ablation for lowering low-density lipoprotein cholesterol (LDL-C) levels? Participants will randomly receive PRF ablation or sham treatment, and undergo follow-up at 24 hours, 1 month, and 3 months post-procedure.
This study aims to evaluate and validate the efficacy and safety of the therapeutic approach of PRF ablation-executed by an externally delivered, completely non-invasive FPU-on serum cholesterol levels in patients with dyslipidaemia, with a low-to-moderate 10-year overall risk of ASCVD. This is an investigator-initiated, single site, randomised, double-blinded, sham-controlled clinical trial. Further eligibility assessment will be performed at the secondary screening, which has the same design as the baseline examination. Subjects taking lipid-lowering drugs before the recruitment are permitted to enter the secondary screening after a 4-week washout period, to allow for sufficient elimination. Eighty-four eligible participants will be randomly assigned to either the FPU treatment group or the sham-treatment group, at a ratio of 2:1.
Age
18 - 70 years
Sex
ALL
Healthy Volunteers
No
JiangSu Province Hospital / The First Affiliated Hospital of Nanjing Medical University
Nanjing, Jiangsu, China
Start Date
May 30, 2020
Primary Completion Date
July 8, 2021
Completion Date
December 31, 2021
Last Updated
July 6, 2023
84
ACTUAL participants
focused power ultrasound treatment
DEVICE
Sham treatment
DEVICE
Lead Sponsor
The First Affiliated Hospital with Nanjing Medical University
NCT06568471
NCT06322056
Data Source & Attribution
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Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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