Skip to content

Early Prediction and Precise Treatment of Moderate to Severe Acute Kidney Injury During Neohepatic Phase of Liver Transplantation Using Multimodal Data and Interpretable Machine Learning Algorithms

Early Prediction and Precise Treatment of Moderate to Severe Acute Kidney Injury During Neohepatic Phase of Liver Transplantation Using Multimodal Data and Interpretable Machine Learning Algorithms

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600116802
Enrollment
Unknown
Registered
2026-01-15
Start date
2026-02-01
Completion date
Unknown
Last updated
2026-01-27

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

Conditions

New-onset acute kidney injury during liver transplantation

Interventions

History control that did not use pLT-AKI prediction model:N/A
Group subjected to pLT-AKI prediction model:N/A

Sponsors

The Third Affiliated Hospital Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
No minimum to 80 Years

Inclusion criteria

Inclusion criteria: 1.Age between 0 to 80 years old; 2.Patietns scheduled for liver transplantation.

Exclusion criteria

Exclusion criteria: 1.Simultaneous liver and kidney transplantation; 2.Re-transplantation; 3.Patients lacking essential data for diagnosing perioperative acute kidney injury (AKI): Individuals for whom sufficient perioperative serum creatinine levels and urine output data are unavailable due to various reasons (such as intraoperative death or spontaneous discharge postoperatively), thereby precluding AKI diagnosis.

Design outcomes

Primary

MeasureTime frame
Time length of CRRT;New-onset pLT-AKI within postoperative day 7;

Secondary

MeasureTime frame
Stage 3 AKI that requires CRRT;Length of postoperative stay in ICU;Incidence of AKI progressing to CKD within 6 months post-surgery;Survival;Cure rate for pLT-AKI within 30 days post-surgery;

Countries

China

Contacts

Public ContactZhang Yihan

The Third Affiliated Hospital Sun Yat-sen University

76754548@qq.com+86 138 0243 4741

Outcome results

None listed

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