Construction of a Predictive Model for Acute Kidney Injury (AKI) and Acute Kidney Disease (AKD) After Transcatheter Aortic Valve Implantation (TAVI) Using Urinary Biomarker Trajectories

Construction of a Predictive Model for Acute Kidney Injury (AKI) and Acute Kidney Disease (AKD) After Transcatheter Aortic Valve Implantation (TAVI) Using Urinary Biomarker Trajectories - Construction of a Predictive Model for Acute Kidney Injury (AKI) and Acute Kidney Disease (AKD) After Transcatheter Aortic Valve Implantation (TAVI) Using Urinary Biomarker Trajectories

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000058857

Enrollment

500

Registered

2025-08-21

Start date

2025-10-01

Completion date

Unknown

Last updated

2026-09-14

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

Conditions

Aortic valve stenosis

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients scheduled to undergo transcatheter valve implantation who provided informed consent prior to the procedure

Exclusion criteria

Exclusion criteria: Excluded dialysis patients

Design outcomes

Primary

Measure	Time frame
The ability to predict the onset of acute kidney injury (AKI) and acute kidney disease (AKD)	—

Countries

Japan

Contacts

Public ContactYumi Obata

St. marianna university school of medicine Anesthesiology

y2obata@marianna-u.ac.jp0453661111

Outcome results