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

Huazhong University of Science and Technology

Status: Completed

Conditions: Postoperative Pulmonary Infection in Elderly Patients

Study type: Observational

Funder types: Other

Identifiers

NCT06491459

UHCT21772

Details and patient eligibility

About

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.

Enrollment: 9,481 patients

Sex: All

Ages: 65+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. age ≥ 65 years
2. patients who were mechanically ventilated under major surgery

Exclusion criteria

1. preoperative tracheal intubation
2. preoperative pneumonia
3. organ transplantation
4. missing data