FindTrial
Sign In

Analysis of risk factors for successful weaning of renal replacement therapy in ICU patients and the construction and validation of the prediction model

Prediction model and validation of successful weaning of RRT in critical patients based on machine learning algorithm

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300074757
Enrollment
Unknown
Registered
2023-08-15
Start date
2023-09-01
Completion date
Unknown
Last updated
2023-08-21

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

Conditions

Acute kidney injury

Interventions

Test group:No
validation group:No

Sponsors

Peking University Shenzhen Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: (1) Adult patients admitted to the intensive care unit; (2) AKI was diagnosed according to KIDGO diagnostic criteria; (3) Receiving renal replacement therapy.

Exclusion criteria

Exclusion criteria: (1) Age <18 years old; (2) The number of serum creatinine measurements during hospitalization was less than 2 times; (3) Patients who receiving long-term dialysis treatment; (4) Death or discharge within 24 hours of RRT initiation.

Design outcomes

Primary

MeasureTime frame
Successful weaning of RRT;—

Secondary

MeasureTime frame
Duration of RRT;resolve rate of AKI;ICU stay time;hospital stay time;Cost of hospitalization;cost related to CRRT;rate of progress to end stage renal disease;hospital mortality;—

Countries

China

Contacts

Public ContactYingxin Lin

Peking University Shenzhen Hospital

lin_yingxin@163.com+86 10 8392 3333

Outcome results

None listed

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