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

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

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04884841
Acronym
DV_model_CS
Enrollment
70000
Registered
2021-05-13
Start date
2012-01-01
Completion date
2025-12-12
Last updated
2021-05-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Surgery--Complications

Brief 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.

Interventions

OTHERPatients 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....)

OTHERPatients without postoperative complications

Patients without postoperative complications

Sponsors

China National Center for Cardiovascular Diseases
Lead SponsorOTHER_GOV

Study design

Observational model
COHORT
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Age more than 18 years Undergoing Cardiovascular surgery

Exclusion criteria

Missing primary outcomes or variables

Design outcomes

Primary

MeasureTime frameDescription
Length of ICU stayThrough study completion, an average of 30 daysNumber of days the patient stays in the intensive care unit
postoperative complications: postoperative pulmonary complications30 daysDiagnosed postoperative pulmonary complications
postoperative complications: ECMO30 dayspatients with ECMO
postoperative complications: IABP30 dayspatients with IABP
Ventilation timeThrough study completion, an average of 7 daysNumber of hours the patient with mechanical ventilation
postoperative complications: acute kidney injury30 dyasDiagnosed acute kidney injury (KDIGO)
postoperative complications: Chronic Kidney disease30 days, as follow upDiagnosed Chronic Kidney disease
postoperative complications: Infection30 daysDiagnosed infection
postoperative complications: delirium30 daysDiagnosed delirium (CAM,CAM-ICU)
postoperative complications: MACCE30 days, as follow upDiagnosed MACCE
postoperative complications: major bleeding30 daysDiagnosed major bleeding

Secondary

MeasureTime frameDescription
ICU costsThrough study completion, an average of 30 daysTotal cost of the stay in the intensive care unit (USD)
Length of hospital stayThrough study completion, an average of 30 daysNumber of days the patient stays in the hospital
Length of postoperative hospital stayThrough study completion, an average of 30 daysNumber of days the patient stays in the hospital after surgery
Total hospital costsThrough study completion, an average of 30 daysTotal cost of the stay in the hospitalization (USD)

Countries

China

Contacts

Primary ContactYuefu Wang, MD
wangyuefu@hotmail.com
Backup ContactYuchen Gao, MD
gaoyuchen_pumc@hotmail.com

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026