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Clinical and pathological correlation analysis of common vasculitis related renal injury in children based on Artificial Intelligence

Clinical and pathological correlation analysis of common vasculitis related renal injury in children based on Artificial Intelligence

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200063751
Enrollment
Unknown
Registered
2022-09-15
Start date
2022-09-15
Completion date
Unknown
Last updated
2023-10-03

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

Conditions

AAGN and purpura nephritis

Interventions

Group 1 :
Group 2:

Sponsors

Children's Hospital Affiliated to Chongqing Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 18 Years

Inclusion criteria

Inclusion criteria: 1. Purpura nephritis: Children who underwent renal biopsy at the first visit in our hospital and were clearly diagnosed as purpura nephritis; 2. AAGN: Children who were diagnosed with AAGN after renal biopsy in our hospital and various cooperative units.

Exclusion criteria

Exclusion criteria: Other types of vasculitis.

Design outcomes

Primary

MeasureTime frame
Pathological grade;Prognosis;—

Countries

China

Contacts

Public ContactMo Wang

Children's Hospital Affiliated to Chongqing Medical University

wangmo_cqmu@163.com+86 13983649255

Outcome results

None listed

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