Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery

Status Completed

Clinical Trial Summary

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.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT04977687
Study type	Observational
Source	Chinese PLA General Hospital
Contact
Status	Completed
Phase
Start date	September 1, 2020
Completion date	January 1, 2021

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