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Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery

NCT04977687 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 2108

Last updated 2021-08-02

No results posted yet for this study

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.

Conditions

Sponsors & Collaborators

  • Chinese PLA General Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-09-01
Primary Completion
2021-01-01
Completion
2021-01-01

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04977687 on ClinicalTrials.gov