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Effectiveness of Gut Microbiota-targeted Diatery Intervention in Preventing Atherosclerotic Cardiovascular Disease Among Older People Living With HIV
The goal of this clinical trial is to conduct a dietary intervention targeting HIV specific gut microbiota alterations for primary atherosclerotic cardiovascular disease (ASCVD) prevention and evaluate its effectiveness in preventing ASCVD among older people living with HIV (PLWH).
The investigators utilize a pragmatic randomized controlled trial design to evaluate the effectiveness of dietary intervention in real-world conditions, without strict control, thereby enhancing the generalizability and clinical applicability of our study findings. Participants at Shenzhen Third People's Hospital, exhibiting HIV with CVD risk will be enrolled. Upon providing informed consent, participants will undergo dynamic randomization into intervention and control groups, aiming for a 1:1 ratio while preserving maximum unpredictability. The intervention group will receive the gut microbiota-targeted dietary intervention thrice weekly for 3 months, accompanied by bi-weekly healthy diet guidance for the same duration. Meanwhile, the control group will continue routine follow-up and health education practices. The intervention will span three months, followed by a three-month follow-up period. Data collection will occur at baseline, 3 months, and 6 months. Primary outcomes will assess ASCVD risk via the pooled cohort equation and evaluate gut microbiota diversity and composition. Secondary outcomes will encompass biomarkers and predictors associated with atherosclerotic cardiovascular disease, as well as symptoms related to the condition.
Age
40 - No limit years
Sex
ALL
Healthy Volunteers
No
The Third People's Hospital of Shenzhen
Shenzhen, China
Start Date
August 20, 2024
Primary Completion Date
May 20, 2025
Completion Date
May 20, 2025
Last Updated
September 26, 2024
110
ESTIMATED participants
dietary intervention
OTHER
Lead Sponsor
Fudan University
NCT07241390
NCT04929028
Data Source & Attribution
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