Different Algorithm Models to Predict Postoperative Pneumonia in Elderly Patients

NCT ID: NCT05671926

Last Updated: 2023-01-05

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

UNKNOWN

Total Enrollment

10000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-01-31

Study Completion Date

2023-02-28

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The researchers aim to compare different algorithms to predict postoperative pneumonia in elderly patients and to assess the risk of pneumonia in elderly patients.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Postoperative pneumonia is a common complication that increases the mortality and length of older patients. In order to better assess the risk of postoperative pneumonia in elderly patients, we plan to use database information and different algorithms, such as logistic regression, random forest, and other algorithms respectively to build models and evaluate the effects of the models.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Postoperative Pulmonary Complications

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Training set

The whole cohort is randomly assigned to a training cohort and validation cohort.

No interventions assigned to this group

validation set

The whole cohort is randomly assigned to a training cohort and validation cohort.

No interventions assigned to this group

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

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 and thoracic surgery
Minimum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Qingping Wu, PhD

Role: CONTACT

13971605283

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

PPC2021012

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.