| Unique ID issued by UMIN | UMIN000058010 |
|---|---|
| Receipt number | R000066311 |
| Scientific Title | Predictive Modeling of Acute Kidney Disease (AKD) Development in Patients Undergoing TAVI |
| Date of disclosure of the study information | 2025/05/29 |
| Last modified on | 2025/05/29 13:50:52 |
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
Predictive Modeling of Acute Kidney Disease (AKD) Development in Patients Undergoing TAVI
| Japan |
Aortic stenosis, chronic kidney disease, acute kidney disease, acute kidney injury
| Medicine in general | Nephrology | Anesthesiology |
| Intensive care medicine |
Others
NO
To identify clinical and biochemical predictors of AKD development in patients undergoing TAVI and to develop and evaluate a predictive model combining urinary biomarkers.
The biomarkers will include urinary L-FABP, urinary NGAL, urinary KIM-1, urinary TIMP2/IGFBP7, urinary clusterin, urinary TFF4, and urinary Netrin. The extent and trends of perioperative biomarker elevations will be observed and evaluated for their usefulness in predicting AKD onset and severity of CKD, eGFR reduction rate, renal prognosis and life expectancy.
Others
To identify clinical and biochemical predictors of AKD development in patients undergoing TAVI and to develop and evaluate a predictive model combining urinary biomarkers.
The biomarkers will include urinary L-FABP, urinary NGAL, urinary KIM-1, urinary TIMP2/IGFBP7, urinary clusterin, urinary TFF4, and urinary Netrin. The extent and trends of perioperative biomarker elevations will be observed and evaluated for their usefulness in predicting AKD onset and severity of CKD, eGFR reduction rate, renal prognosis and life expectancy.
Development of acute kidney disease, progression of chronic kidney disease, death, introduction of dialysis
Observational
| 50 | years-old | <= |
| 100 | years-old | >= |
Male and Female
Patients undergoing TAVI
Emergency, Dialysis
500
| 1st name | Yumi |
| Middle name | |
| Last name | Obata |
St. Marianna Medical University
Anesthesiology
2168511
2-16-1 Sugao, Miyamae-Ku Kawasaki 216-8511
0449778111
y2obata@marianna-u.ac.jp
| 1st name | Yumi |
| Middle name | |
| Last name | Obata |
St. marianna university school of medicine
Anesthesiology
216-8511
2-16-1 Sugao, Miyamae-Ku Kawasaki
0453661111
y2obata@marianna-u.ac.jp
St. marianna university school of medicine
St. marianna university school of medicine
Other
St marianna university school of medicine
St. marianna university school of medicine
0449778111
y2obata@marianna-u.ac.jp
NO
| 2025 | Year | 05 | Month | 29 | Day |
Unpublished
Open public recruiting
| 2025 | Year | 05 | Month | 29 | Day |
| 2025 | Year | 06 | Month | 30 | Day |
| 2025 | Year | 05 | Month | 29 | Day |
| 2035 | Year | 03 | Month | 31 | Day |
| 2035 | Year | 03 | Month | 31 | Day |
none
| 2025 | Year | 05 | Month | 29 | Day |
| 2025 | Year | 05 | Month | 29 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000066311