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AI model for predicting prognosis in elderly patients with severe renal artery stenosis

Establishment and validation of an AI model for predicting short-term blood pressure improvement in elderly patients with severe renal artery stenosis based on clinical, laboratory, and imaging multi omics feature fusion

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300077390
Enrollment
Unknown
Registered
2023-11-07
Start date
2023-11-10
Completion date
Unknown
Last updated
2023-11-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

renal artery stenosis

Interventions

Prospective study: Low risk group:None
Prospective study: Moderate risk group:None
Prospective study: High risk group:None

Sponsors

Beijing Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
60 Years to 85 Years

Inclusion criteria

Inclusion criteria: Retrospective study: Inclusion criteria: (1) Clinically diagnosed with severe RAS (reduction of renal artery lumen diameter by = 60%); (2) Age = 60 and = 85 years old, regardless of gender; (3) Clinical, laboratory examination, and imaging data are complete; Prospective study: Inclusion criteria: (1) Clinically diagnosed with severe RAS (reduction of renal artery lumen diameter by = 60%); (2) Age = 60 and = 85 years old, regardless of gender; (3) Those who voluntarily participate and sign an informed consent form

Exclusion criteria

Exclusion criteria: Retrospective study: Exclusion criteria: (1) Severe cardiopulmonary dysfunction; (2) Patients with advanced tumors; Prospective study: Exclusion criteria: (1) Severe cardiopulmonary dysfunction; (2) Patients with advanced tumors; (3) Renal artery occlusion; (4) Those with unclear ultrasound or other imaging images.

Design outcomes

Primary

MeasureTime frame
BP improvement;

Secondary

MeasureTime frame
cardiovascular mortality, renal function deterioration, renal artery revascularization, heart failure, stroke;

Countries

China

Contacts

Public ContactPeng Li

Beijing Hospital

lipeng7706@bjhmoh.cn+86 150 1061 4876

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026