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

NCT ID: NCT04884841

Last Updated: 2021-05-14

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

70000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2012-01-01

Study Completion Date

2025-12-12

Brief Summary

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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

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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

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Surgery--Complications

Study Design

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Observational Model Type

COHORT

Study Time Perspective

OTHER

Study Groups

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Patients with postoperative complications

Patients with postoperative complications

Patients diagnosed with postoperative complications

Intervention Type OTHER

Patients diagnosed with postoperative complications (Acute kidney injury, Chronic Kidney disease, Infection, Delirium, MACCE, Myocardial infarction, Postoperative pulmonary complications, major bleeding, ECMO, IABP....)

Patients without postoperative complications

Patients without postoperative complications

Patients without postoperative complications

Intervention Type OTHER

Patients without postoperative complications

Interventions

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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....)

Intervention Type OTHER

Patients without postoperative complications

Patients without postoperative complications

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

Age more than 18 years Undergoing Cardiovascular surgery

Exclusion Criteria

Missing primary outcomes or variables
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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China National Center for Cardiovascular Diseases

OTHER_GOV

Sponsor Role lead

Responsible Party

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Yuefu Wang

Principal Investigator, Clinical Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Yuefu Wang, MD

Role: PRINCIPAL_INVESTIGATOR

China National Center for Cardiovascular Diseases

Locations

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Fuwai Hospital, China National Center for Cardiovascular Diseases, CAMS&PUMC

Beijing, , China

Site Status RECRUITING

Countries

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China

Central Contacts

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Yuefu Wang, MD

Role: CONTACT

Yuchen Gao, MD

Role: CONTACT

Facility Contacts

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Yuefu Wang, MD

Role: primary

+(86) 010-88396509

Chunrong Wang, MD

Role: backup

+(86) 010-88392469

Other Identifiers

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Prediction Model of CS

Identifier Type: -

Identifier Source: org_study_id

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