Application of machine learning to predict in-hospital operative death in patients undergoing coronary artery bypass grafting

Clinical study of machine learning in predicting in-hospital operative mortality in patients undergoing coronary artery bypass grafting

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2200065598

Enrollment

Unknown

Registered

2022-11-09

Start date

2022-12-30

Completion date

Unknown

Last updated

2023-05-15

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

Conditions

Coronary Artery Disease

Interventions

Case series:None

Eligibility

Sex/Gender

All

Age

18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Patients undergoing coronary artery bypass grafting surgery in Shanghai Chest Hospital, Jiangsu Province Hospital, Shanghai East Hospital, Shandong Qilu Hospital, and General Hospital of Ningxia Medical University.

Exclusion criteria

Exclusion criteria: 1. Not the first cardiac surgery 2. Coronary artery bypass grafting combined with other cardiac surgery 3. less than 18 years old 4. Lack of perioperative clinical data

Design outcomes

Primary

Measure	Time frame
Mortality;	—

Secondary

Measure	Time frame
EuroSCORE;SCr;LVEF;	—

Countries

China

Contacts

Public ContactHe Bin

Chest Hospital affiliated to Shanghai Jiaotong University

hebinicu@139.com+86 13651685089

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026