Development and validation of risk prediction model for post-donation renal function in living kidney donors.
Sci Rep
; 14(1): 15514, 2024 07 05.
Article
in En
| MEDLINE
| ID: mdl-38969704
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 (< 30 0, 30-39 1, 40-59 2, ≥ 60 3), preoperative eGFR (≥ 100 0, 90-99 2, 80-89 4, < 80 5), and RKP (≥ 52% 0, < 52% 1). The total score ranged from 0 to 10. The model showed good discrimination for the primary endpoint in both cohorts. The prediction model provides a useful tool for estimating post-donation renal dysfunction risk, factoring in the side of the donated kidney. It offers potential enhancement to pre-donation evaluations.
Full text:
1
Database:
MEDLINE
Main subject:
Kidney Transplantation
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Living Donors
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Glomerular Filtration Rate
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Kidney
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Nephrectomy
Limits:
Adult
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Female
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Humans
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Male
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Middle aged
Language:
En
Journal:
Sci Rep
Year:
2024
Type:
Article