Dataset Information

Prediction of measured GFR after living kidney donation from pre-donation parameters.

ABSTRACT:

Background

One 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.

Methods

In 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.

Results

In 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)].

Conclusions

We developed a novel post-donation mGFR prediction model based on pre-donation serum creatinine, age and sex.

SUBMITTER: van Londen M

PROVIDER: S-EPMC9869859 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Publications

Prediction of measured GFR after living kidney donation from pre-donation parameters.

van Londen Marco M van der Weijden Jessica J Niznik Robert S RS Mullan Aidan F AF Bakker Stephan J L SJL Berger Stefan P SP Nolte Ilja M IM Sanders Jan-Stephan F JF Navis Gerjan G Rule Andrew D AD de Borst Martin H MH

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association 20230101 1

<h4>Background</h4>One 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.<h4>Methods</h4>In 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 ...[more]

PMID: 35731584

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Project description:BackgroundIt is unclear whether kidney donation leads to lifestyle changes in terms of cannabis and cigarette use.ObjectiveTo describe cigarette and cannabis use before and after kidney donation and to determine their associations with lifestyle and clinical factors.DesignRetrospective cohort study.SettingThe Living Kidney Donor program in the Champlain Local Health Integration Network at The Ottawa Hospital in Ottawa, Canada.PatientsThe study included 178 living kidney donors who donated between January 2009 and December 2018.MeasurementsDonors were screened for cannabis and cigarette use by telephone interview. Their clinical characteristics and changes in kidney function before and after donation were recorded.MethodsCannabis and cigarette use before and after kidney donation were compared using chi-square test. Risk factors associated with their use was examined by univariate and multivariate logistic regression. Wilcoxon rank sum test was used to examine the association of cannabis and Chronic Kidney Disease Epidemiology Collaboration equation (CKD-EPI) estimated glomerular filtration rate (eGFR) at donation and at last follow-up. T-test was used to examine the association of cigarette smoking and CKD-EPI eGFR at donation and at last follow-up.ResultsAmong 305 donors, 262 met inclusion criteria and 178 participated (mean of 4.7 ± 2.9 years from kidney donation). Cannabis and cigarette use were reported by 5% (9 of 178) and 13% (23 of 178) at donation. After donation, 8% (14 of 178) and 5% (9 of 178) started cannabis and cigarettes, respectively; 74% (17 of 23) of smokers remained smokers after donation and 88% (53 of 60) who quit smoking before donation did not restart after donation. In multivariate analysis, non-married/common-in-law status was associated with cannabis use (odds ratio, 2.73; 95% confidence interval, 1.05-7.11; P = .04). There was no difference in eGFR pre- or post-donation among cannabis or cigarette users.LimitationsThe single-center study design limits generalizability. Social desirability bias may have affected survey responses and cigarette smoking was not quantified.ConclusionsCannabis and cigarette use was uncommon in the studied population and was not associated with remaining kidney function. Cannabis use increased post-donation. Most smokers remained smokers after donation and most donors who quit smoking before donation did not restart after donation. This warrants education and support for potential donors who smoke, to quit smoking prior to donation to reduce risks of cardiovascular and end-stage kidney disease.Trial registrationNot applicable as this is not a clinical trial.

Project description:ImportanceLiving kidney donors may have an increased risk of fractures due to reductions in kidney mass, lower concentrations of serum 1,25-dihydroxyvitamin D, and secondary increases in serum parathyroid hormone.ObjectiveTo compare the overall and site-specific risk of fractures among living kidney donors with strictly matched controls from the general population who would have been eligible to donate a kidney but did not do so.Design, setting, and participantsThis survey study was conducted between December 1, 2021, and July 31, 2023. A total of 5065 living kidney donors from 3 large transplant centers in Minnesota were invited to complete a survey about their bone health and history of fractures, and 16 156 population-based nondonor controls without a history of comorbidities that would have precluded kidney donation were identified from the Rochester Epidemiology Project and completed the same survey. A total of 2132 living kidney donors and 2014 nondonor controls responded to the survey. Statistical analyses were performed from May to August 2023.ExposureLiving kidney donation.Main outcomes and measuresThe rates of overall and site-specific fractures were compared between living kidney donors and controls using standardized incidence ratios (SIRs).ResultsAt the time of survey, the 2132 living kidney donors had a mean (SD) age of 67.1 (8.9) years and included 1245 women (58.4%), and the 2014 controls had a mean (SD) age of 68.6 (7.9) years and included 1140 women (56.6%). The mean (SD) time between donation or index date and survey date was 24.2 (10.4) years for donors and 27.6 (10.7) years for controls. The overall rate of fractures among living kidney donors was significantly lower than among controls (SIR, 0.89; 95% CI, 0.81-0.97). However, there were significantly more vertebral fractures among living kidney donors than among controls (SIR, 1.42; 95% CI, 1.05-1.83).Conclusions and relevanceThis survey study found a reduced rate of overall fractures but an excess of vertebral fractures among living kidney donors compared with controls after a mean follow-up of 25 years. Treatment of excess vertebral fractures with dietary supplements such as vitamin D3 may reduce the numbers of vertebral fractures and patient morbidity.

Dataset Information

Prediction of measured GFR after living kidney donation from pre-donation parameters.

Background

Methods

Results

Conclusions

Publications

Prediction of measured GFR after living kidney donation from pre-donation parameters.

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