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Construction and clinical application of prediction model of timing and prognosis of liver transplantation for acute liver failure based on artificial intelligence

Construction and clinical application of prediction model of timing and prognosis of liver transplantation for acute liver failure based on artificial intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000036479
Enrollment
Unknown
Registered
2020-08-23
Start date
2020-10-01
Completion date
Unknown
Last updated
2020-09-14

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

Conditions

hepatic failure

Interventions

Case series:Nil

Sponsors

Huashan Hospital, Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: (1) The patient received DBD/DCD/ living donor liver transplantation; (2) Postoperative pathological diagnosis confirmed acute liver failure; (3) Preoperative laboratory examination data were complete; (4) Complete follow-up data.

Exclusion criteria

Exclusion criteria: (1) Postoperative pathological diagnosis confirmed non-acute liver failure; (2) Preoperative key laboratory examination data were missing; (3) Incomplete postoperative follow-up data.

Design outcomes

Primary

MeasureTime frame
age;—

Countries

China

Contacts

Public ContactLi Jianhua

Huashan Hospital, Fudan University

1070115129@qq.com+86 15121013415

Outcome results

None listed

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