Development and validation of a new prediction model for graft function using preoperative marginal factors in living-donor kidney transplantation
Background Recently, living-donor kidney transplantation from marginal donors has been increasing. However, a simple prediction model for graft function including preoperative marginal factors is limited. Here, we developed and validated a new prediction model for graft function using preoperative m...
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Veröffentlicht in: | Clinical and experimental nephrology 2019-11, Vol.23 (11), p.1331-1340 |
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Hauptverfasser: | , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | Background
Recently, living-donor kidney transplantation from marginal donors has been increasing. However, a simple prediction model for graft function including preoperative marginal factors is limited. Here, we developed and validated a new prediction model for graft function using preoperative marginal factors in living-donor kidney transplantation.
Methods
We retrospectively investigated 343 patients who underwent living-donor kidney transplantation at Kyushu University Hospital (derivation cohort). Low graft function was defined as an estimated glomerular filtration rate of |
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ISSN: | 1342-1751 1437-7799 |
DOI: | 10.1007/s10157-019-01774-x |