1. Development and validation of risk prediction model for post-donation renal function in living kidney donors
- Author
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Seong Jun Lim, Jieun Kwon, Youngmin Ko, Hye Eun Kwon, Jae Jun Lee, Jin-Myung Kim, Joo Hee Jung, Hyunwook Kwon, Young Hoon Kim, Jae Berm Park, Kyo Won Lee, and Sung Shin
- Subjects
Medicine ,Science - Abstract
Abstract This study aimed to create and validate a predictive model for renal function following live kidney donation, using pre-donation factors. Accurately predicting remaining renal function post live kidney donation is currently insufficient, necessitating an effective assessment tool. A multicenter retrospective study of 2318 live kidney donors from two independent centers (May 2007–December 2019) was conducted. The primary endpoint was the reduction in eGFR to below 60 mL/min/m2 6 months post-donation. The primary endpoint was achieved in 14.4% of the training cohort and 25.8% of the validation cohort. Sex, age, BMI, hypertension, preoperative eGFR, and remnant kidney proportion (RKP) measured by computerized tomography (CT) volumetry were found significant in the univariable analysis. These variables informed a scoring system based on multivariable analysis: sex (male: 1, female: 0), age at operation (
- Published
- 2024
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