Development of a novel linear model for predicting recipient’s post-transplant serum creatinine level after living donor kidney transplantation: A multicenter cross-validation study

Jinsoo Rhu, Sung Joo Kim, Kyo Won Lee, Jae Berm Park, Kyunga Kim, Heejin Yoo, Hyejin Mo, Chanjoong Choi, Sang-il Min and Jongwon Ha

PLOS ONE, 2019, vol. 14, issue 4, 1-13

Abstract: Background: This study was designed to develop and cross-validate a statistical model for predicting post-transplant serum creatinine of living donor kidney transplantation. Materials and methods: Adult recipients of living donor kidney transplantation from August 2012 to October 2017 at Samsung Medical Center (SMC) and Seoul National University Hospital (SNUH) with normal post-transplant protocol biopsy were included for modelling. Demographic data including recipient and donor’s sex, age, body measurements and comorbidities, pre-transplant donor serum creatinine, graft weight, post-transplant recipient serum creatinine and the result of protocol biopsy were collected. Multivariate linear regression analysis was performed for developing the model based on SMC cohort. Internal validation was performed using leave-one-out cross-validation with the same cohort. External validation using leave-one-out cross-validation was performed based on the cohort of SNUH. Results: A total of 238 and 191 recipients were included from SMC and SNUH, respectively. The prediction model included recipient’s sex (β = 0.228, P

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0214247

DOI: 10.1371/journal.pone.0214247

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