ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2023
Prediction of measured GFR after living kidney donation from pre-donation parameters.
Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 10 citations in OpenAlex.
- Multimodal deep learning integration for predicting renal function outcomes in living donor kidney transplantation: a retrospective cohort study.International journal of surgery (London, England) · 2026Article
- CT volumetric analysis: association of renal parenchyma and GFR alteration in nephrectomy patients.Abdominal radiology (New York) · 2025Article
- Nonindexed versus Body Surface Area-Indexed Measured GFR Determinations as a Criterion of Living Donor Acceptance.Clinical journal of the American Society of Nephrology : CJASN · 2025Article
- The utility of split function testing in determining recovery of glomerular filtration rate after living kidney donation: a cohort study.BMC nephrology · 2025Article
- Improving healthcare services for living kidney donors: an experience-based approach in the Netherlands.Frontiers in public health · 2025Article
- Pre-donation assessment of cystatin C to improve prediction of pre- and post-donation GFR in potential living kidney donors.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024Article
- Consequences of low estimated glomerular filtration rate either before or early after kidney donation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024Article
- Prediction of post-donation renal function using machine learning techniques and conventional regression models in living kidney donors.Journal of nephrology · 2024Article
- Prediction tool for renal adaptation after living kidney donation using interpretable machine learning.Frontiers in medicine · 2023Article
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundOne of the challenges in living kidney donor screening is to estimate remaining kidney function after donation. Here we developed a new model to predict post-donation measured glomerular filtration rate (mGFR) from pre-donation serum creatinine, age and sex.
methodsIn the prospective development cohort (TransplantLines, n = 511), several prediction models were constructed and tested for accuracy, precision and predictive capacity for short- and long-term post-donation 125I-iothalamate mGFR. The model with optimal performance was further tested in specific high-risk subgroups (pre-donation eGFR <90 mL/min/1.73 m2, a declining 5-year post-donation mGFR slope or age >65 years) and validated in internal (n = 509) and external (Mayo Clinic, n = 1087) cohorts.
resultsIn the development cohort, pre-donation estimated GFR (eGFR) was 86 ± 14 mL/min/1.73 m2 and post-donation mGFR was 64 ± 11 mL/min/1.73 m2. Donors with a pre-donation eGFR ≥90 mL/min/1.73 m2 (present in 43%) had a mean post-donation mGFR of 69 ± 10 mL/min/1.73 m2 and 5% of these donors reached an mGFR <55 mL/min/1.73 m2. A model using pre-donation serum creatinine, age and sex performed optimally, predicting mGFR with good accuracy (mean bias 2.56 mL/min/1.73 m2, R2 = 0.29, root mean square error = 11.61) and precision [bias interquartile range (IQR) 14 mL/min/1.73 m2] in the external validation cohort. This model also performed well in donors with pre-donation eGFR <90 mL/min/1.73 m2 [bias 0.35 mL/min/1.73 m2 (IQR 10)], in donors with a negative post-donation mGFR slope [bias 4.75 mL/min/1.73 m2 (IQR 13)] and in donors >65 years of age [bias 0.003 mL/min/1.73 m2 (IQR 9)].
conclusionsWe developed a novel post-donation mGFR prediction model based on pre-donation serum creatinine, age and sex.
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