Development of Synthetic Medical Data Generation Technology to Predict Postoperative Complications

August 3, 2023 updated by: Hajeong Lee, Seoul National University Hospital

<Development of synthetic medical data generation technology to predict postoperative complications>

In order to develop a model for predicting the occurrence of complications after surgery, it is necessary to establish a cohort along with statistical indicators related to the occurrence of complications. This study aims to combine synthetic medical data based on actual clinical data and develop a predictive model based on synthetic medical data.

This will allow researchers to conduct research only with synthetic data without dealing with actual medical data, allowing them to use and process data without legal constraints, and to create as much data as they want based on various preprocessed, standardized, and labeled raw data.

Patients from three hospitals in Korea (Seoul National University Hospital, Seoul National University Bundang Hospital, Seoul Metropolitan City-Boramae Medical Center) were enrolled for the study.

Medical data (both clinical and laboratory) from 410,000 patients who were conducted surgery between 2005 and 2020 were collected to evaluate the performance of the prediction model using AKI-based prediction model development and external verification.

Based on the collected patient data, synthetic medical data were combined using the machine learning algorithm, and the anonymity and re-identification of the synthesized medical data were evaluated.

Also, the development of AI-based prediction model using synthetic medical data and the actual medical data model were compared.

Study Overview

Status

Completed

Conditions

Study Type

Observational

Enrollment (Actual)

410000

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

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

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients over 18 years who underwent non-cardiothoracic and non-vascular surgery

Description

Inclusion Criteria:

  • Patients over 18 years.
  • Non-cardiothoracic and non-vascular surgery from five departments (general surgery, obstetrics and gynecology (OBGY), urologic surgery, neurosurgery, and orthopedic surgery)

Exclusion Criteria:

  • 1) no information of baseline (≤90 days before surgery) or follow-up (≤7 days after surgery) renal function
  • 2) exclusive surgery, including surgeries of deceased patients or surgery that directly affect renal function (partial or total nephrectomy, kidney transplantation)
  • 3) preoperative advanced kidney dysfunction, including preoperative serum creatinine (SCr) ≥4.0 mg/dL, baseline eGFR (estimated glomerular filtration rate) <15 mL/min/1.73 m2, preoperative kidney replacement therapy history, or AKI history within 2 weeks of surgery
  • 4) surgery other than general or spinal anesthesia (local anesthesia or monitored anesthesia care)
  • 5) missing covariates.

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: After surgery, within 7 days
Surgical complication 1
After surgery, within 7 days
Acute kidney disease
Time Frame: After surgery, within 3 months
Surgical complication 2
After surgery, within 3 months

Collaborators and Investigators

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

Sponsor

Seoul National University Hospital

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)

March 26, 2021

Primary Completion (Actual)

September 27, 2022

Study Completion (Actual)

March 25, 2023

Study Registration Dates

First Submitted

August 3, 2023

First Submitted That Met QC Criteria

August 3, 2023

First Posted (Actual)

August 14, 2023

Study Record Updates

Last Update Posted (Actual)

August 14, 2023

Last Update Submitted That Met QC Criteria

August 3, 2023

Last Verified

August 1, 2023

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • H-2102-192-1203

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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.

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