Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery

Chinese PLA General Hospital (301 Hospital)

Status: Completed

Conditions: Prediction Models; Renal Replacement Therapy; Acute Kidney Injury; Machine Learning

Study type: Observational

Funder types: Other

Identifiers

NCT04977687

chinaPLAGH-08983219

Details and patient eligibility

About

Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication which may result in adverse impact on short- and long-term mortality. The researcher here developed several prediction models based on machine learning technique to allow early identification of patients who at the high risk of unfavorable kidney outcomes. The retrospective study comprised 2108 consecutive patients who underwent cardiac surgery from January 2017 to December 2020.

Enrollment: 2,108 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• age over 18 years who underwent cardiac surgery

Exclusion criteria

• data miss greater than 10%