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Study on Prognosis Prediction After Acute Aortic Dissection Surgery Using Artificial Intelligence-Based Psoas Muscle Area Analysis

A Retrospective Study on AI-Based Total Psoas Area Measurement for Prognosis Prediction After Acute Type A Aortic Dissection Surgery

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0010024
Enrollment
86
Registered
2024-12-11
Start date
2024-12-01
Completion date
Unknown
Last updated
2025-01-06

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

Conditions

None listed

Interventions

None listed

Sponsors

Chonnam National University Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients who underwent surgery for acute type A aortic dissection at Chonnam National University Hospital between January 1, 2021, and December 31, 2023

Exclusion criteria

Exclusion criteria: Patients who were not followed up with medical records within one year

Design outcomes

Primary

MeasureTime frame
Comparison of 7-day postoperative mortality between the two groups

Secondary

MeasureTime frame
3-day mortality, 30-day mortality, in-hospital mortality, late mortality, cause of in-hospital death, complications, length of hospital stay, discharge to home

Countries

Korea, Republic of

Contacts

Public ContactJoungmin Kim

Chonnam National University Hospital

tca77@hanmail.net+82-62-220-6895

Outcome results

None listed

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