Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery

C

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%

Trial contacts and locations

0

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Data sourced from clinicaltrials.gov

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