Prediction Models for Postoperative Reintubation in Patients With Acute Aortic Dissection (ADreintubate)

May 9, 2024 updated by: Wuhan Union Hospital, China

Multiple Automated Machine-learning Prediction Models for Postoperative Reintubation in Patients With Acute Aortic Dissection

Reintubation is an adverse postoperative complication in patients with Type A aortic dissection (AAD) that correlates to poor outcomes. This study aims to analyze the risk factors associated with reintubation and to create a fully automated score model to predict the incidence of reintubation. A total of 861 patients diagnosed with AAD and undergoing surgical procedures in a single institution between January 2018 and October 2023 were selected in wuhan Union Hospital. Preoperative and postoperative informmation was used for seeking risk factors and build prediction model for postoperative reintubation. Finally, 5 risk factors wasidentified and a nomogram was established for predicting postoperative reintubation in patients with AAD.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

861

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
    • Hubei
      • Wuhan, Hubei, China, 430022
        • Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

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

N/A

Sampling Method

Probability Sample

Study Population

A total of 892 patients with AAD who underwent open surgery at Wuhan Union Hospital between January 2018 and October 2023 were enrolled using a convenient sampling method.

Description

Inclusion Criteria:

(1) patients diagnosed with AAD admitted for open surgery; (2) aged 18 years or older.

Exclusion Criteria:

(1) patients deceased during or within 24 hours after surgery; (2) patients with preoperative intubation.

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
training group
To determine potential predictive factors, the training group was subjected to LASSO regression analysis, which effectively eliminated several irrelevant or multicollinearity independent variables to reduce high-dimensional data.Seven models were initially constructed in the training group: multivariable logistics regression (MLR), decision-tree modeling, random forest, XGBoost, Support Vector Machines, k-nearest neighbors, and LightGBM.
Procedure: Type A aortic dissection surgery
Patients with type A aortic dissection undergone surgery.
testing group
Testing group was used to examine the performance of the seven prediction models, including discrimination and calibration performance. Finally, the model with best discrimination and calibration performance was used to construct nomogram for predicting reintubation.
Procedure: Type A aortic dissection surgery
Patients with type A aortic dissection undergone surgery.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
postoperative reintubation
Time Frame: 3 month
reintubation incidence in patients with type A aortic dissection undergoing surgery
3 month

Collaborators and Investigators

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

Sponsor

Wuhan Union Hospital, China

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)

January 1, 2018

Primary Completion (Actual)

October 31, 2023

Study Completion (Actual)

December 31, 2023

Study Registration Dates

First Submitted

May 9, 2024

First Submitted That Met QC Criteria

May 9, 2024

First Posted (Actual)

May 16, 2024

Study Record Updates

Last Update Posted (Actual)

May 16, 2024

Last Update Submitted That Met QC Criteria

May 9, 2024

Last Verified

May 1, 2024

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • WHUH-AADreintu

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

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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