NCT06491459

Predicting Postoperative Pulmonary Infection in Elderly Patients Undergoing Major Surgery: a Study Based on Logistic Regression and Machine Learning Models

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 9,481 (actual)
• Sponsor: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Academic / Other
• Sex: All
• Age: 65 Years
• Healthy volunteers: Not accepted

Summary

Although a number of clinical predictive models were developed to predict postoperative pulmonary infection, few predictive models have been used in elderly patients. In this study, the researchers aim to compare different algorithms to predict postoperative pulmonary infection in elderly patients and to assess the risk of postoperative pulmonary infection in elderly patients.

Conditions

• Postoperative Pulmonary Infection in Elderly Patients

Timeline

• Start date: 2024-01-01
• Primary completion: 2024-06-01
• Completion: 2024-06-01
• First posted: 2024-07-09
• Last updated: 2024-07-09

Locations

1 site across 1 country: China