Predictive Modeling of Acute Kidney Disease (AKD) Development in Patients Undergoing TAVI

Predictive Modeling of Acute Kidney Disease (AKD) Development in Patients Undergoing TAVI - Predictive Modeling of Acute Kidney Disease (AKD) Development in Patients Undergoing TAVI

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000058010

Enrollment

500

Registered

2025-05-29

Start date

2025-05-29

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

Aortic stenosis, chronic kidney disease, acute kidney disease, acute kidney injury

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients undergoing TAVI

Exclusion criteria

Exclusion criteria: Emergency, Dialysis

Design outcomes

Primary

Measure	Time frame
Development of acute kidney disease, progression of chronic kidney disease, death, introduction of dialysis	—

Countries

Japan

Contacts

Public ContactYumi Obata

St. marianna university school of medicine Anesthesiology

y2obata@marianna-u.ac.jp0453661111

Outcome results