Development of Machine Learning Models to Predict Delirium After On-Pump Cardiac Surgery Based on Preoperative and Intraoperative Indices

Development of Machine Learning Models to Predict Delirium After On-Pump Cardiac Surgery Based on Preoperative and Intraoperative Indices - Development of Machine Learning Models to Predict Delirium After On-Pump Cardiac Surgery Based on Preoperative and Intraoperative Indices

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000049390

Enrollment

300

Registered

2022-11-01

Start date

2021-11-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Cardiovascular surgery

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients aged 20-89 years undergoing cardiac surgery at Osaka University Hospital from September 2021 to December 2024.

Exclusion criteria

Exclusion criteria: Catheterization / Preoperative delirium / Patient is diagnosed and treated for dementia / Intubation for more than 4 days after surgery / Re-operation within 7 days after surgery / Cerebral infarction or hemorrhage within 7 days after surgery

Design outcomes

Primary

Measure	Time frame
Delirium Occurs within 1 week after surgery.	—

Countries

Japan

Contacts

Public ContactChie Nagata

The University of Osaka Graduate School of Medicine Division of Health Science

chiezooo17@gmail.com06-6879-5111

Outcome results