Different Algorithm Models to Predict Postoperative Pulmonary Complications in Elderly Patients

January 3, 2023 updated by: Wuhan Union Hospital, China
Although a number of clinical predictive models were developed to predict postoperative pulmonary complications, few predictive models have been used in elderly patients. In this study, the researchers aim to compare different algorithms to predict postoperative pulmonary complications in elderly patients and to assess the risk of postoperative pulmonary complications in elderly patients.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

Postoperative pulmonary complications occur frequently, which is an important cause of death and morbidity. Age has been an important predictor of postoperative pulmonary complications. As the world's population ages, more and more older people are undergoing surgery as indications for surgery expand. In order to better assess the risk of postoperative pulmonary complications in elderly patients, we plan to use database information and different algorithms such as logistic regression, random forest, and other algorithms to build models respectively and evaluate the effects of the models.

Study Type

Observational

Enrollment (Anticipated)

10000

Contacts and Locations

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

Study Contact

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

65 years and older (Older Adult)

Accepts Healthy Volunteers

N/A

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

older patients received general anesthesia in Wuhan Union Hospital from January 1, 2014 to December 31, 2019.

Description

Inclusion Criteria:

  1. Age 65 years or older
  2. receiving invasive ventilation during general anesthesia for surgery

Exclusion Criteria:

  1. preoperative mechanical ventilation
  2. procedures related to a previous surgical complication
  3. a second operation after surgery
  4. organ transplantation
  5. discharged within 24 hours after surgery
  6. cardiac surgery

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

  • Observational Models: Cohort
  • Time Perspectives: Retrospective

Cohorts and Interventions

Group / Cohort
Training set
The whole cohort is randomly assigned to a training cohort and validation cohort.
validation set
The whole cohort is randomly assigned to a training cohort and validation cohort.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Postoperative pulmonary complications
Time Frame: within one week after surgery
within one week after surgery

Secondary Outcome Measures

Outcome Measure
Time Frame
Postoperative pulmonary complications
Time Frame: 30 days after surgery
30 days after surgery

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 (Anticipated)

January 1, 2023

Primary Completion (Anticipated)

January 1, 2023

Study Completion (Anticipated)

March 1, 2023

Study Registration Dates

First Submitted

January 2, 2023

First Submitted That Met QC Criteria

January 3, 2023

First Posted (Actual)

January 5, 2023

Study Record Updates

Last Update Posted (Actual)

January 5, 2023

Last Update Submitted That Met QC Criteria

January 3, 2023

Last Verified

December 1, 2022

More Information

Terms related to this study

Other Study ID Numbers

  • PPC20221201

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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