A Retrospective Study of AI to Predict Prognosis in Patients with Critical Limb Ischemia

A Retrospective Study of AI to Predict Prognosis in Patients with Critical Limb Ischemia - A Retrospective Study of AI to Predict Prognosis in Patients with Critical Limb Ischemia

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000047939

Enrollment

200

Registered

2022-06-25

Start date

2016-01-01

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

Critical Limb Ischemia

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients undergoing peripheral angioplasty at Osaka Red Cross Hospital from January 1, 2016 to June 3, 2022

Exclusion criteria

Exclusion criteria: Patients who cannot give consent for this study, patients with serious illnesses that are predicted to significantly affect their prognosis (e.g., malignancy requiring current treatment, severe infection, severe immunological or metabolic disease, etc.)

Design outcomes

Primary

Measure	Time frame
all cause death and major amputation	—

Countries

Japan

Contacts

Public ContactShiori Kawakami

Osaka Red Cross Hospital Cardiology

shiori.maruichi@gmail.com06-6774-5111

Outcome results