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Completed

NCT Number: NCT04977687

Machine Learning Predict 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.

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Key information

Conditions

Machine Learning Acute Kidney Injury Female Urogenital Diseases Female Urogenital Diseases and Pregnancy Complications Kidney Diseases Male Urogenital Diseases Prediction Models Renal Insufficiency Renal Replacement Therapy Urogenital Diseases Urologic Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Chinese PLA General hospital

Beijing, Beijing Municipality, 100853, China

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • age over 18 years who underwent cardiac surgery

Exclusion criteria

  • data miss greater than 10%

Treatment and study plan

Primary outcomes

  1. patients required renal replacement therapy

    Time frame: 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

Sponsors and collaborators

Lead sponsor

Chinese PLA General Hospital

Other

Registry information

Official study title

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

Important dates

Study start
2020
Primary completion
2021
Study completion
2021
First posted
Jul 27, 2021
Registry last updated
Aug 2, 2021

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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