Development and Validation of Models to Predict Postoperative Complications for Patients With Cardiac Surgery
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Surgery- Complications
- Type
- Observational
- Design
- Observational Model: CohortTime Perspective: Other
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
Patients undergoing cardiac surgery is routinely performed in clinical scenarios, highly postoperative morbidities and long-term mortality should be modified.A nomogram is a pictorial representation of a scoring model that possesses a simple user interface and shows favorable predictive performance....
Patients undergoing cardiac surgery is routinely performed in clinical scenarios, highly postoperative morbidities and long-term mortality should be modified.A nomogram is a pictorial representation of a scoring model that possesses a simple user interface and shows favorable predictive performance. By integrating a patient's diverse determinant variables, a nomogram can provide a personalized probability for quantitative predictions of the incidence of an outcome of interest.Therefore, we conducted a retrospective study to assess the incidence, risk factors and outcomes associated with major complications patients undergoing cardiac surgery.
Tracking Information
- NCT #
- NCT04884841
- Collaborators
- Not Provided
- Investigators
- Principal Investigator: Yuefu Wang, MD China National Center for Cardiovascular Diseases