NCT04884841

Development and Validation of Models to Predict Postoperative Complications for Patients With Cardiac Surgery

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 70,000 (estimated)
• Sponsor: China National Center for Cardiovascular Diseases · Other Government
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

Patients undergoing cardiac surgery is routinely performed in clinical scenarios, highly postoperative morbidities and long-term mortality should be modified. A simple risk prediction model incorporating risk factors can help guide clinical decision making, patient counseling and treatment planning.

Detailed 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. 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.

Conditions

• Surgery--Complications

Interventions

Type	Name	Description
OTHER	Patients diagnosed with postoperative complications	Patients diagnosed with postoperative complications (Acute kidney injury, Chronic Kidney disease, Infection, Delirium, MACCE, Myocardial infarction, Postoperative pulmonary complications, major bleeding, ECMO, IABP....)
OTHER	Patients without postoperative complications	Patients without postoperative complications

Timeline

• Start date: 2012-01-01
• Primary completion: 2021-12-31
• Completion: 2025-12-12
• First posted: 2021-05-13
• Last updated: 2021-05-14

Locations

1 site across 1 country: China