NCT05506163

Development and Validation of a Predictive Model for Postoperative Pulmonary Complications in Elderly Patients

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 10,000 (estimated)
• 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 several clinical predictive models have been developed to predict postoperative pulmonary complications, few predictive models have been developed for elderly patients. In this study, the researchers aimed to develop a new, simplified model to assess the risk of postoperative pulmonary complications in elderly patients using perioperative database information.

Detailed description

Postoperative pulmonary complications occur frequently, which is an important cause of death and morbidity. Age has always been an significant predictor of postoperative pulmonary complications. With an aging population worldwide, more and more elderly people are undergoing surgery due to the expansion of surgical indications. As a result of this phenomenon, the elderly are also an important group for the prediction and intervention of postoperative pulmonary complications. In order to better assess the risk of postoperative pulmonary complications in elderly patients, we constructed a model using database information.

Conditions

• Postoperative Pulmonary Complications

Timeline

• Start date: 2022-08-24
• Primary completion: 2022-09-22
• Completion: 2022-09-22
• First posted: 2022-08-18
• Last updated: 2022-09-30

Locations

1 site across 1 country: China