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| ID | Type | Description | Link |
|---|---|---|---|
| H-2205-051-1322 | Other Identifier | Seoul National University Hospital Institutional Review Board |
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This study aims to predict early post-transplant kidney function in living donor kidney transplant recipients using baseline characteristics of donors and recipients. The study involves analyzing pre-transplant data to develop a machine learning model that predicts serum creatinine levels one year post-transplant. This research may improve decision-making and outcomes for transplant patients
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Study Population | All participants included in the retrospective study who underwent living-donor kidney transplantation. No interventions were applied as this is an observational study. |
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| Measure | Description | Time Frame |
|---|---|---|
| Lowest Serum Creatinine Level | Measurement of the lowest serum creatinine level post-transplant to evaluate kidney function. | Within one year post-transplant. |
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Inclusion Criteria:
- Recipients and donors of living-donor kidney transplantation.
Exclusion Criteria:
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Participants were recruited from Seoul National University Hospital, Severance Hospital, and Bundang Seoul National University Hospital, encompassing recipients and donors involved in living-donor kidney transplantation.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Seoul National University Hospital | Seoul | 03080 | South Korea |
De-identified participant data will be made available to researchers upon reasonable request, subject to approval by the IRB
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Dec 2, 2024 | Dec 4, 2024 | Prot_SAP_000.pdf |
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