Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery

Sponsor
Chinese PLA General Hospital (Other)
Overall Status
Completed
CT.gov ID
NCT04977687
Collaborator
(none)
2,108
1
4
525.9

Study Details

Study Description

Brief 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.

Condition or Disease Intervention/Treatment Phase

    Study Design

    Study Type:
    Observational
    Actual Enrollment :
    2108 participants
    Observational Model:
    Cohort
    Time Perspective:
    Retrospective
    Official Title:
    Using Machine Learning to Predict Acute Kidney Injury Requiring Renal Replacement Therapy After Cardiac Surgery
    Actual Study Start Date :
    Sep 1, 2020
    Actual Primary Completion Date :
    Jan 1, 2021
    Actual Study Completion Date :
    Jan 1, 2021

    Outcome Measures

    Primary Outcome Measures

    1. patients required renal replacement therapy [14 days]

      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

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    18 Years and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
    • age over 18 years who underwent cardiac surgery
    Exclusion Criteria:
    • data miss greater than 10%

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Chinese PLA General hospital Beijing Beijing China 100853

    Sponsors and Collaborators

    • Chinese PLA General Hospital

    Investigators

    None specified.

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Yunlong Fan, Clinical Professor, Chinese PLA General Hospital
    ClinicalTrials.gov Identifier:
    NCT04977687
    Other Study ID Numbers:
    • chinaPLAGH-08983219
    First Posted:
    Jul 27, 2021
    Last Update Posted:
    Aug 2, 2021
    Last Verified:
    Jul 1, 2021
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Aug 2, 2021