Machine Learning Predict Acute Kidney Injury in Patients Following Cardiac Surgery

July 16, 2021 updated by: Yunlong Fan

Using Machine Learning to Predict Acute Kidney Injury in Patients Following 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 investigatorshere 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

Study Type

Observational

Enrollment (Actual)

2108

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

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

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

N/A

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
acute kidney injury Time Frame: 7 days	postoperative AKI was defined according to KDIGO criteria during the first 7 days after operation. Postoperative AKI was defined as either at an increase of at least 50% within 7 days or 0.3 mg/dL elevation within 48 h compared with the reference serum creatinine level.	7 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Yunlong Fan

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

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 8, 2021

First Submitted That Met QC Criteria

July 8, 2021

First Posted (ACTUAL)

July 19, 2021

Study Record Updates

Last Update Posted (ACTUAL)

July 22, 2021

Last Update Submitted That Met QC Criteria

July 16, 2021

Last Verified

July 1, 2021

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

chinaPLAGH-08983218

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.