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Research on Artificial Intelligence-Based Decision Support System for Continuous Renal Replacement Therapy Liberation in Critically Ill Patients with Acute Kidney Injury

Research on Artificial Intelligence-Based Decision Support System for Continuous Renal Replacement Therapy Liberation in Critically Ill Patients with Acute Kidney Injury

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600126110
Enrollment
Unknown
Registered
2026-06-03
Start date
2026-06-03
Completion date
Unknown
Last updated
2026-06-08

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

Conditions

Acute Kidney Injury

Interventions

Prospective Validation Group:None
Retrospective Validation Group:None

Sponsors

Renji Hospital affiliated to Shanghai Jiaotong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Diagnosed with acute kidney injury according to KDIGO criteria; 2.Received continuous renal replacement therapy during ICU stay; 3.Aged 18 or over; Gender not specified;

Exclusion criteria

Exclusion criteria: 1.Previous diagnosis of end-stage renal disease or history of kidney transplantation; 2.Missing relevant clinical data such as urine output and serum creatinine; 3.Patients deemed unable to be enrolled in this study by the investigator's judgment;

Design outcomes

Primary

MeasureTime frame
Successful CRRT discontinuation rate;—

Countries

China

Contacts

Public ContactZhu Mingli

Renji Hospital affiliated to Shanghai Jiaotong University School of Medicine

millionzhu525@126.com+86 21 58752345

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jun 11, 2026