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Different Algorithm Models to Predict Postoperative Pulmonary Complications in Elderly Patients

Sponsor
Wuhan Union Hospital, China (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05671939
Collaborator
(none)
10,000
Enrollment
1.9
Anticipated Duration (Months)

Study Details

Study Description

Brief Summary

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.

Condition or Disease Intervention/Treatment Phase

    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 Design

    Study Type:
    Observational
    Anticipated Enrollment :
    10000 participants
    Observational Model:
    Cohort
    Time Perspective:
    Retrospective
    Official Title:
    Different Algorithm Models to Predict Postoperative Pulmonary Complications in Elderly Patients
    Anticipated Study Start Date :
    Jan 1, 2023
    Anticipated Primary Completion Date :
    Jan 1, 2023
    Anticipated Study Completion Date :
    Mar 1, 2023

    Arms and Interventions

    Arm Intervention/Treatment
    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.

    Outcome Measures

    Primary Outcome Measures

    1. Postoperative pulmonary complications [within one week after surgery]

    Secondary Outcome Measures

    1. Postoperative pulmonary complications [30 days after surgery]

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    65 Years and Older
    Sexes Eligible for Study:
    All
    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

    Contacts and Locations

    Locations

    No locations specified.

    Sponsors and Collaborators

    • Wuhan Union Hospital, China

    Investigators

    None specified.

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Wuhan Union Hospital, China
    ClinicalTrials.gov Identifier:
    NCT05671939
    Other Study ID Numbers:
    • PPC20221201
    First Posted:
    Jan 5, 2023
    Last Update Posted:
    Jan 5, 2023
    Last Verified:
    Dec 1, 2022
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No

    Study Results

    No Results Posted as of Jan 5, 2023