Different Algorithm Models to Predict Postoperative Pneumonia in Elderly Patients

Not yet recruiting

• Conditions: Postoperative Pulmonary Complications

• Registration Number: NCT05671926
• Lead Sponsor: Wuhan Union Hospital, China

Brief Summary

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

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.

Study Timeline

• Status Verified: 2022-12
• Study Start: 2023-01
• Study First Submitted: 2023-01-02
• Study First Submitted QC: 2023-01-03
• Last Update Submitted: 2023-01-03
• Study First Posted: 2023-01-05
• Last Update Posted: 2023-01-05
• Primary Completion: 2023-02
• Study Completion: 2023-02

Recruitment & Eligibility

• Status: NOT_YET_RECRUITING
• Sex: All
• Target Recruitment: 10000

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

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Postoperative pulmonary complications	within one week after surgery

Secondary Outcome Measures

Name	Time	Method
Postoperative pulmonary complications	30 days after surgery