Development and Validation of Models to Predict Postoperative Complications for Patients With Cardiac Surgery
NCT04884841 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 70000
Last updated 2021-05-14
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.
Conditions
- Surgery--Complications
Interventions
- 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
Sponsors & Collaborators
-
China National Center for Cardiovascular Diseases
lead OTHER_GOV
Principal Investigators
-
Yuefu Wang, MD · China National Center for Cardiovascular Diseases
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2012-01-01
- Primary Completion
- 2021-12-31
- Completion
- 2025-12-12
Countries
- China
Study Locations
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