Postoperative Pulmonary Complications
Conditions
Brief 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.
Interventions
None listed
Sponsors
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Age 65 years or older * receiving invasive ventilation during general anesthesia for surgery
Exclusion criteria
* preoperative mechanical ventilation * operations related to previous postoperative complications * a second operation after surgery * organ transplantation * discharged within 24 hours after surgery * cardiac and thoracic surgery
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Postoperative pulmonary complications | within one week after surgery |
Countries
China
Contacts
Primary ContactQingping Wu, PhD
Outcome results
None listed