Development and Validation of a Nomogram for Remnant Kidney Function After Living-donor Donation
The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
Meeting: 2021 American Transplant Congress
Abstract number: 995
Keywords: Age factors, Kidney transplantation, Living donor, N/A
Topic: Clinical Science » Kidney » Kidney Living Donor: Selection
Session Information
Session Name: Kidney Living Donor: Selection
Session Type: Poster Abstract
Session Date & Time: None. Available on demand.
Location: Virtual
*Purpose: This study was to develop and validate a nomogram to predict remnant kidney function after living-donor kidney donation.
*Methods: We conducted a retrospective cohort study on living kidney donors in our centre from 1999 to 2018.All donors were medically fit to donate and met Chinese donor selection criteria for donation. A favorable outcome was defined as post-donation eGFR at 1 year > 60% of the pre-donation eGFR.For nomogram construction and validation,all the donors were randomly divided into two cohorts in a 7:3 ratio,including training cohorts and validation cohorts .Then we identified independent prognostic factors using univariate analysis and multivariate logistic regression models.A nomogram for predicting 1-year eGFR was constructed based on these identified prognostic factors.The performance of the nomogram was validated both internally in training cohort and externally in validating cohort.The concordance index (C-index) and the receiver operating characteristic curve (ROC) were used to evaluate the discriminative ability of the nomogram. We used calibration curves to compare the actual outcomes with the predicted probabilities.
*Results: Age and pre-donation eGFR were identified in univariate analysis.Next,these significant (p<0.05) factors identified in the univariate analysis were in the multivariate analysis,and multivariate analyses were performed via multivariate logistic regression. Age and pre-donation eGFR were significantly identified in multivariate analysis.Finally, a nomogram was constructed by incorporating these two independent predictors.The C-indexes for eGFR predicion in the nomogram were 0.84 and 0.81 for the training set and validation set.The calibration plot showed good agreement between the actual observations and the predicted outcomes both in training set and validation set.
*Conclusions: This model might be a simple, but useful guide to predict remnant kidney function after donation,which could be an important clinical tool to improve the selection of living donors.
To cite this abstract in AMA style:
Dou M, Tian P, Zheng B, Deng G, Shi Y, Ding C. Development and Validation of a Nomogram for Remnant Kidney Function After Living-donor Donation [abstract]. Am J Transplant. 2021; 21 (suppl 3). https://atcmeetingabstracts.com/abstract/development-and-validation-of-a-nomogram-for-remnant-kidney-function-after-living-donor-donation/. Accessed May 11, 2025.« Back to 2021 American Transplant Congress