Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery

Using Machine Learning to Predict Acute Kidney Injury Requiring Renal Replacement Therapy After Cardiac Surgery

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.

Study Overview

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

• Study Type: Observational
• Enrollment (Actual): 2108

Contacts and Locations

Study Locations

• China
  • Beijing
    • Beijing, Beijing, China, 100853
      • Chinese PLA General Hospital

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 14 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

• Sampling Method: Probability Sample

Study Population

age over 18 years who underwent cardiac surgery

Description

Inclusion Criteria:

• age over 18 years who underwent cardiac surgery

Exclusion Criteria:

• data miss greater than 10%

Study Plan

How is the study designed?

Design Details

• Observational Models: Cohort
• Time Perspectives: Retrospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
patients required renal replacement therapy	The primary outcome was patients with the requirement for acute dialysis within 14 days after cardiac surgery. Renal replacement therapy is recommended for patients with severe acute kidney injury as well as hemodynamic instability or severe electrolyte disturbances (e.g. blood potassium > 6) or acid-base balance disturbances (e.g. H value less than or equal to 7.15). Prior to the start of renal replacement therapy, the investigator invited a consultation with the nephrology department to assess the condition	14 days

Collaborators and Investigators

• Sponsor: Chinese PLA General Hospital

Study record dates

Study Major Dates

• Study Start (Actual): September 1, 2020
• Primary Completion (Actual): January 1, 2021
• Study Completion (Actual): January 1, 2021

Study Registration Dates

• First Submitted: July 16, 2021
• First Submitted That Met QC Criteria: July 20, 2021
• First Posted (Actual): July 27, 2021

Study Record Updates

• Last Update Posted (Actual): August 2, 2021
• Last Update Submitted That Met QC Criteria: July 26, 2021
• Last Verified: July 1, 2021

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Kidney Diseases; Urologic Diseases; Renal Insufficiency; Acute Kidney Injury
• Other Study ID Numbers: chinaPLAGH-08983219

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No