scholarly journals Baseline living‐donor kidney volume and function associate with 1‐year post‐nephrectomy kidney function

2019 ◽  
Vol 33 (3) ◽  
pp. e13485
Author(s):  
Isaac E. Hall ◽  
Akram Shaaban ◽  
Guo Wei ◽  
Magdalena B. Sikora ◽  
Hassan Bourija ◽  
...  
2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Chaudhry Adeel Ebad ◽  
David Brennan ◽  
Julio Chevarria ◽  
Mohammad Bin Hussein ◽  
Donal Sexton ◽  
...  

Background. The role of kidney volume measurement in predicting the donor and recipient kidney function is not clear. Methods. We measured kidney volume bilaterally in living kidney donors using CT angiography and assessed the association with the donor remaining kidney and recipient kidney (donated kidney) function at 1 year after kidney transplantation. Donor volume was categorized into tertiles based on lowest, middle, and highest volume. Results. There were 166 living donor and recipient pairs. The mean donor age was 44.8 years (SD ± 10.8), and donor mean BMI was 25.5 (SD ± 2.9). The recipients of living donor kidneys were 64% male and had a mean age of 43.5 years (SD ± 13.3). Six percent of patients experienced an episode of cellular rejection and were maintained on dialysis for a mean of 18 months (13–32) prior to transplant. Kidney volume was divided into tertiles based on lowest, middle, and highest volume. Kidney volume median (range) in tertiles 1, 2, and 3 was 124 (89–135 ml), 155 (136–164 ml), and 184 (165–240 ml) with donor eGFR ml/min (adjusted for body surface area expressed as ml/min/1.73 m2) at the time of donation in each tertile, 109 (93–129), 110 (92–132), and 101 ml/min (84–117). The median (IQR) eGFR in tertiles 1 to 3 in kidney recipients at 1 year after donation was 54 (44–67), 62 (50–75), and 63 ml/min (58–79), respectively. The median (IQR) eGFR in tertiles 1 to 3 in the remaining kidney of donors at 1 year after donation was 59 (53–66), 65 (57–72), and 65 ml/min (56–73), respectively. Conclusion. Bigger kidney volume was associated with better eGFR at 1 year after transplant in the recipient and marginally in the donor remaining kidney.


2021 ◽  
pp. 1-11
Author(s):  
Massimo Torreggiani ◽  
Ciro Esposito ◽  
Elena Martinelli ◽  
Thomas Jouve ◽  
Antoine Chatrenet ◽  
...  

<b><i>Introduction:</i></b> Living donor kidney transplant (LDKT) is one of the best therapeutic options for end-stage kidney disease (ESKD). Guidelines identify different estimated glomerular filtration rate (eGFR) thresholds to determine the eligibility of donors. The aim of our study was to evaluate whether pretransplant donor eGFR was associated with kidney function in the recipient. <b><i>Methods:</i></b> We retrospectively studied LDKT recipients who received a kidney graft between September 1, 2005, and June 30, 2016 in the same transplant center in France and that had eGFR data available at 3, 12, 24, and 36 months posttransplant. <b><i>Results:</i></b> We studied 90 donor-recipient pairs. The average age at time of transplant was 51.47 ± 10.95 for donors and 43.04 ± 13.52 years for recipients. Donors’ average eGFR was 91.99 ± 15.37 mL/min/1.73 m<sup>2</sup>. Donor’s age and eGFR were significantly correlated (<i>p</i> &#x3c; 0.0001, <i>r</i><sup>2</sup> 0.023). Donor’s age and eGFR significantly correlated with recipient’s eGFR at 3, 12, and 24 months posttransplant (age: <i>p</i> &#x3c; 0.001 at all intervals; eGFR <i>p</i> = 0.001, 0.003, and 0.016, respectively); at 36 months, only donor’s age significantly correlated with recipient’s eGFR. BMI, gender match, and year of kidney transplant did not correlate with graft function. In the multivariable analyses, donor’s eGFR and donor’s age were found to be associated with graft function; correlation with eGFR was lost at 36 months; and donor’s age retained a strong correlation with graft function at all intervals (<i>p</i> &#x3c; 0.001). <b><i>Conclusions:</i></b> Donor’s eGFR and age are strong predictors of recipient’s kidney function at 3 years. We suggest that donor’s eGFR should be clinically balanced with other determinants of kidney function and in particular with age.


2017 ◽  
Vol 47 (1) ◽  
pp. 8-17 ◽  
Author(s):  
Tadashi Sofue ◽  
Yoshio Kushida ◽  
Taro Ozaki ◽  
Masahiro Moritoki ◽  
Yoko Nishijima ◽  
...  

Background: It is uncertain whether kidneys from marginal donors are suitable for live kidney transplantation. In deceased donor kidneys, tubular cell senescence affects allograft function. However, the degree of cell senescence in a living donor kidney with marginal factors has not been reported. In this study, we assessed the association of tubular cell senescence with allograft and remnant kidney function by a prospective observational clinical study. Methods: Thirty-eight living donor kidney transplantations were analyzed prospectively. Tissue sections obtained from preimplantation kidney biopsies were immunostained for p16INK4a to indicate cell senescence. Various kidney biomarkers were analyzed in urine and blood samples. Results: Of the 38 donors, 21 had marginal factors. Severe tubular senescence was found in living donors with overlapping marginal criteria. Tubular senescence in living donor kidneys was significantly related to donor age and lower recipient kidney function at 1 year after transplantation independently of donor age (β = –0.281; p = 0.050) but did not affect remnant kidney function after donation. Pretransplantation donor pre-estimated glomerular filtration rate and hypertension did not show a significant area under the curve (AUC) for prediction of high tubular senescence. High plasma levels of soluble αKlotho were associated with a higher predictive value for low tubular cell senescence with an AUC of 0.78 (95% CI 0.62–0.93; p < 0.01). Conclusions: The nuclear p16-staining rate in donated kidney tubules is a predictor for allograft kidney function but not donor remnant kidney function. Detection of tubular cell senescence may facilitate selection of appropriate living donor candidates.


2013 ◽  
Vol 54 (12) ◽  
pp. 870 ◽  
Author(s):  
Chang Ki Lee ◽  
Young Eun Yoon ◽  
Kyung Hwa Choi ◽  
Seung Choul Yang ◽  
Joong Shik Lee ◽  
...  

2013 ◽  
Vol 45 (1) ◽  
pp. 77-81 ◽  
Author(s):  
H. Akoglu ◽  
T. Yildirim ◽  
G. Eldem ◽  
G. Arik ◽  
R. Yilmaz ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document