Literature DB >> 35769347

Long-term compensation of renal function after donor nephrectomy.

Yong Pyo Lee1, Soo Jin Kim2,3, Juhan Lee2,3, Jae Geun Lee2,3, Kyu Ha Huh2,3, Dong Jin Joo2,3, Soon Il Kim2,3, Yu Seun Kim2,3, Myoung Soo Kim2,3.   

Abstract

Background: Living donors are the major source of kidneys in countries with a shortage of deceased donors. Kidney donation after careful donor selection is generally accepted as a safe procedure, but the physiologic consequences after donor nephrectomy are not fully verified. In this study we retrospectively reviewed the renal function of the residual kidney in living donors.
Methods: Post-nephrectomy laboratory data of 1,175 living donors (60.7%) from 1,933 living donors who received uninephrectomy from January 1999 to December 2017 at Yonsei University, Severance Hospital, Korea were retrospectively collected. Post-nephrectomy renal function was monitored by the relative ratio of estimated glomerular filtration rate (e-GFR; pre-nephrectomy e-GFR ratio vs. post-nephrectomy e-GFR) that was calculated by the Modification of Diet in Renal Disease formula.
Results: During 36.3±37.6 months of mean follow-up, two cases (0.17%, 2/1,175) of renal failure developed. The mean e-GFR decreased to 64.3±14.2 mL/min/1.73 m2 immediately after nephrectomy from 99.2±19.9 mL/min/1.73 m2 of the pre-nephrectomy e-GFR. Early decrement of e-GFR was prominent in male and obese donors (body mass index >25 kg/m2, P<0.05). The e-GFR ratio increased according to post-nephrectomy duration, and the mean increment degree of e-GFR ratio after nephrectomy calculated by linear regression analysis was 1.94% per year. Unlike the early decrement of e-GFR ratio after nephrectomy, donor factors such as degree of obesity and donor sex did not affect the late increment of e-GFR ratio after nephrectomy (P>0.05). Conclusions: Our data showed that long-term compensation of the renal function after nephrectomy occurs independently of preoperative donor characteristics.
© 2020 The Korean Society for Transplantation.

Entities:  

Keywords:  Glomerular filtration rate; Kidney transplantation; Living donors; Nephrectomy

Year:  2020        PMID: 35769347      PMCID: PMC9188938          DOI: 10.4285/kjt.2020.34.2.84

Source DB:  PubMed          Journal:  Korean J Transplant        ISSN: 2671-8790


The immediate postoperative estimated glomerular filtration rate decreased to about 65.5% of its primary function which is affected by the sex and body mass index of the donor. In the long term, we found that compensation of renal function occurs over time, regardless of donor factors.

INTRODUCTION

Following the introduction of kidney transplantation in the 1950s, it has become essential for the improvement of quality of life for end-stage renal disease (ESRD) patients. However, as the demand for donor kidneys has increased, living donors are now a major source for kidney transplantation in Korea [1]. Improved outcomes and reduced waiting times are some of the merits of living donor kidney transplantation [2], but is not without its shortcomings, and the risk of mortality or renal failure of living donors remains a concern [3]. Compensatory hypertrophy has been observed after unilateral or partial nephrectomy [4-6], and the renal functional reserve has also been assessed along with the consequences of hyperfiltration [7-11]. Preoperative factors, such as obesity, hypertension, and proteinuria have been known to influence the renal function after unilateral nephrectomy [12-14]; in addition, old age has been associated with reduced renal reserve [15]. Older or overweight kidney donors have a lower post-donation reserve capacity, but obesity has a greater impact on loss of renal reserve in younger donors, suggesting that younger donors with obesity must be monitored carefully [16]. Most of the previous studies have focused on the risk factors and pathophysiology of renal failure or other comorbidities [10,17-19]. Edgren et al. [4] reported that renal function reached 77% of its initial level in kidney donors after a mean follow-up of 3 years. Several studies on donor renal function have also reported that renal function reaches 70%–75% of its initial pre-nephrectomy renal function [17,20,21]. This study retrospectively reviewed the renal function of living donors after nephrectomy in order to understand the long-term postoperative changes in renal function, and also define the factors related to renal function compensation.

METHODS

Data for 1,933 living kidney donors from January 1999 to December 2017 at Yonsei University, Severance Hospital, Korea were collected. The follow-up hospital records of 1,175 donors (60.7%) were available. The selection criteria of donors at donor nephrectomy were: (1) pre-nephrectomy serum creatinine level below 1.5 mg/dL, (2) no radiologic abnormality in bilateral kidneys, and (3) no history of hypertension, diabetes or active hepatitis. Donor nephrectomy was performed by conventional open nephrectomy or video assisted mini-laparotomy surgery. The estimated glomerular filtration rate (e-GFR), as determined by the Modification of Diet in Renal Disease (MDRD) study, was used. Hospital records were retrospectively reviewed to evaluate the residual renal function and renal impairment. Early e-GFR was defined as the e-GFR at the early period (usually within 5 days of nephrectomy) and late e-GFR was defined as e-GFR at the time of the most recent follow-up. The e-GFR ratio was the relative e-GFR represented by the ratio of post-nephrectomy e-GFR versus pre-nephrectomy e-GFR. Renal failure was defined using the Kidney Disease Outcomes Quality Initiative Chronic Kidney Disease classification, the need for dialysis, or e-GFR<15 mL/min/1.73 m2. Donor sex, age, and body mass index (BMI) were analyzed for variables affecting the donor residual renal function after nephrectomy. Patients were categorized and analyzed according to their BMI (BMI <25 kg/m2 and ≥25 kg/m2 groups; normal and obese groups, respectively) and age (<35 years and ≥35 years) and analyzed [22,23]. Statistical analysis was performed using Student t-test. The relevance between factors was analyzed using linear regression. Multivariate linear regression was used to determine factors significantly related to post-nephrectomy e-GFR. A general linear model was applied to compare the donor factors in combination with follow-up period. A P-value <0.05 was defined as statistically significant.

RESULTS

Donor Characteristics and Renal Failure after Donor Nephrectomy

The clinical characteristics of 1,175 donors whose hospital records were retrospectively collected are shown in Table 1. Of the 1,175 donors, two donors developed renal failure and were on dialysis (2/1,175; 0.17%); renal failure occurred at 34 months and 57 months after nephrectomy. The cause of ESRD was hypertension in one case and disease of unknown origin in the other case.
Table 1

Donor demographics

Clinical manifestationValue
Number1,175
Age at nephrectomy (yr)40.1±11.4 (16–69)
Sex (male:female)547 (46.6):628 (53.4)
BMI (kg/m2)23.2±2.7 (15.6–33.3)
Living donor type (related:unrelated)775 (66.0):400 (34.0)
Mean follow-up duration (mo)36.3±37.6 (0–193)

Values are presented as mean±standard deviation (range) or number (%).

BMI, body mass index.

Early Change of Renal Function after Donor Nephrectomy

The mean age at the time of donation was 40.1±11.4 years (16–69 years). The pre-nephrectomy mean e-GFR was 99.2±19.9 mL/min/1.73 m2, and the mean serum creatinine was 0.82±0.17 mg/dL. In the immediate postoperative period, the early e-GFR dropped to 64.3±14.2 mL/min/1.73 m2, and the serum creatinine increased to 1.21±0.29 mg/dL. Donor sex and BMI showed statistically significant relevance with early decrease in renal function, and the early e-GFR was significantly lower in males compared to females. The mean early e-GFR was 62.1±12.2 mL/min/1.73 m2, 66.1±15.4 mL/min/1.73 m2 in males and females, respectively. The decrement of the early e-GFR ratio was statistically greater in males than in females (64.1%±10.2% vs. 66.7%±13.0%, P<0.001). Donor BMI also showed negative correlation with the early e-GFR ratio, and the slope of the relationship between the early e-GFR ratio and BMI was –0.53 (P<0.001) by linear regression analysis. The early e-GFR ratio in BMI <25 kg/m2 and ≥25 kg/m2 groups were compared and showed significant difference (P<0.001). However, age was not significantly associated with early e-GFR, and by linear regression analysis, age at donation showed no significant relationship to the early e-GFR ratio. The early e-GFR ratio was analyzed in groups age <35 years and ≥35 years, and there was no significant difference between the two age groups (P=0.277) (Table 2).
Table 2

Early changes of renal function after donor nephrectomy (n=1,175)

Donor variablene-GFR by MDRD formula (mL/min/1.73 m2)e-GFR ratio (B/A, %)P-value[a)]

Pre-nephrectomy (A)Early e-GFR (B)
Overall1,17599.2±19.964.3±14.265.5±11.9
Sex<0.001
Male54797.9±17.762.1±12.264.1±10.2
Female628100.4±21.666.1±15.466.7±13.0
Age (yr)0.277
<35768105.5±18.769.0±14.566.0±11.9
≥3540795.9±19.361.8±13.365.2±11.9
BMI (kg/m2)<0.001
<25294100.4±20.465.6±14.666.1±12.5
≥2588195.7±17.960.4±12.063.5±9.4

Values are presented as mean±standard deviation.

e-GFR, estimated glomerular filtration rate; MDRD, Modification of Diet in Renal Disease; BMI, body mass index.

a)P-value calculated by comparison mean (Student t-test) of e-GFR ratio by variables.

Stepwise multiple linear regression was used for verification of donor factors affecting renal function after nephrectomy. Donor BMI and sex showed significant correlation with the early change of renal function (Table 3).
Table 3

Stepwise multiple linear regression analysis for early changes in renal function

VariableBetaStandard errorP-value
Constant77.2192.956<0.001
BMI–0.4600.128<0.001
Sex–2.1740.7050.002

R2=0.023, F=9.515, P<0.001. Excluded variable: age.

BMI, body mass index.

Late Change of Renal Function after Donor Nephrectomy

The mean follow-up period was 36.3±37.6 months (0–193 months), and the mean late e-GFR was 70.2±13.3 mL/min/1.73 m2 (e-GFR ratio, 72.0%±13.5%) (Fig. 1). The late e-GFR ratio significantly increased according to the follow-up period, and the e-GFR increased 1.94%±0.10% of its initial e-GFR per year (P<0.001) (Fig. 2).
Fig. 1

Change of estimated glomerular filtration rate (e-GFR) by Modification of Diet in Renal Disease (MDRD) formula at pre- and post-nephrectomy. Values are presented as mean±standard deviation.

Fig. 2

Late compensation of residual renal function after donor nephrectomy. y=66.216+0.162*×(R2=0.199, P<0.001). e-GFR, estimated glomerular filtration rate; MDRD, Modification of Diet in Renal Disease.

Donor age, sex, and BMI showed no significant correlation with the late e-GFR. The age of the donor at the time of donation had no linear correlation to the late e-GFR ratio. The BMI of the donor at the time of donation also had no correlation with the late e-GFR ratio, although in the immediate postoperative period, a higher donor BMI resulted in a greater decrease in e-GFR. The late e-GFR ratio showed no significant difference in terms of sex, age (<35, ≥35 years), or BMI (<25, ≥25 kg/m2) (Table 4).
Table 4

Late changes of renal function after donor nephrectomy (n=1,173, excluding two cases of renal failure)

Donor variablene-GFR by MDRD formula (mL/min/1.73 m2)e-GFR ratio (C/A, %)P-value[a)]

Pre-nephrectomy (A)Late e-GFR (C)
Overall1,17399.2±19.970.2±13.372.0±13.5
Sex0.883
Male54597.9±17.769.6±13.272.1±13.2
Female628100.4±21.670.7±13.572.0±13.7
Age (yr)0.053
<35766105.5±18.776.1±14.073.1±13.4
≥3540795.9±19.867.1±11.971.5±13.5
BMI (kg/m2)0.931
<25294100.4±20.471.0±13.572.0±13.22
≥2587995.7±17.967.7±12.672.0±14.4

e-GFR, estimated glomerular filtration rate; MDRD, Modification of Diet in Renal Disease; BMI, body mass index.

a)P-value calculated by comparison mean (Student t-test) of e-GFR ratio by variables.

The donor variables and the late e-GFR ratio were analyzed by stepwise multiple linear regression. Results showed that the follow-up period was the only significant factor explaining the compensation of the donor renal function. The donor variables: sex, age, and BMI at donation were excluded (P<0.001) (Table 5).
Table 5

Stepwise multiple linear regression analysis for late changes of renal function

VariableBetaStandard errorP-value
Constant66.2160.495<0.001
Post-nephrectomy period0.1620.009<0.001

R2=0.199, F=291.921, P<0.001. Excluded variable: age, sex, and body mass index.

The effects of the donor variables combined with the follow-up period on the late e-GFR ratio were analyzed. Donors <35 years and ≥35 years were analyzed in combination with follow-up time. We found no significant difference in the effects of the two age groups combined with follow-up period on the late e-GFR ratio (P=0.104) (Fig. 3). When BMI was grouped into <25 kg/m2 and ≥25 kg/m2 groups, there was no significant difference between the effects of the two groups in combination with follow-up period on the late e-GFR ratio (P=0.466) (Fig. 4). There was a statistically significant difference in the late e-GFR ratio between males and females when they were analyzed in combination with follow-up time. Female donors showed a greater renal compensation rate compared to male donors (P=0.004) (Fig. 5).
Fig. 3

Late compensation of residual renal function after donor nephrectomy between two age groups (age <35, ≥35 years; P=0.136). e-GFR, estimated glomerular filtration rate; MDRD, Modification of Diet in Renal Disease.

Fig. 4

Late compensation of residual renal function after donor nephrectomy between two body mass index (BMI) groups (P=0.466). e-GFR, estimated glomerular filtration rate; MDRD, Modification of Diet in Renal Disease.

Fig. 5

Late compensation of residual renal function after donor nephrectomy in female donors and male donors (P=0.004). e-GFR, estimated glomerular filtration rate; MDRD, Modification of Diet in Renal Disease.

DISCUSSION

The safety of the donors has been the primary concern of the transplant society since the introduction of living donor kidney transplantation [24]. Although there are concerns about glomerular hyperfiltration, proteinuria, hypertension, and other cardiovascular risks, several studies have reported that kidney donation is relatively safe and that the survival of donors is similar to that of the general population [25,26]. While the risk of ESRD in donors is higher, the absolute risk remains low [27,28]. The rate of ESRD was 0.17% (2/1,175) in our study. The e-GFR of the donor decreases immediately after donor nephrectomy. After nephrectomy, the renal function is partially compensated and is reported to recover 70%–75% of its initial GFR [17,20,21]. ter Wee et al. [29] reported that the GFR of kidney donors increased for years after donation, probably due to compensatory hypertrophy of the remaining kidney. Furthermore, Rook et al. [30] reported that baseline GFR, BMI, and age were independent predictors for renal function impairment after living donor donation. However, this study had a relatively short follow-up period after donation. We studied the factors affecting the rate of compensation and demonstrated that the immediate decrease in renal function was affected by the sex and BMI of the donor. Overweight donors showed a greater decrease in e-GFR after nephrectomy; however, during follow-up, the compensatory rates were similar between the normal donors and obese donors. We compared the donor variables in combination with follow-up period to verify the effect on the compensation of renal function and found that the compensatory rate showed no significant difference according to donor variables, with the exception of donor sex. Sex affected the decrease in e-GRF immediately after nephrectomy, as well as the compensatory rate during follow-up. Previous studies have reported that men have a higher GFR than women before nephrectomy [30,31]. Gossmann et al. [32] found that a higher GFR at the time of donation was the only significant factor for a larger than average loss of GFR. Similarly, our results demonstrated that males had a higher pre-nephrectomy GFR, which may support the greater decrease in postoperative e-GFR. We also showed that males had a lower compensatory rate than females, which may be due to a larger kidney volume and larger muscle mass in males compared to females. Although the compensation rates were statistically different, both sexes showed a compensation rate of over 70%. In meta-analyses, Kasiske et al. [20] reported an immediate decrease in renal function after nephrectomy, and an increase in GFR was noted per decade during long-term follow-up. Moreover, Garg et al. [33] reported that after an initial decrement in GFR after nephrectomy, the renal function remained stable over 15 years. Our results show a significant linear increment in late e-GFR ratio that was only relevant in terms of the follow-up period. This may imply that donor factors such as sex and BMI only affect the renal function in the immediate postoperative period, but after time, the donor factors have little or no impact on the compensation of the renal function in healthy donors. There are certain limitations of our study. The data were collected retrospectively and the donors were not asked to come for follow-up testing specifically for this study, only the data available at our center were used. Therefore, the donor pool that was analyzed may not adequately represent the total donor population. Furthermore, the donor pool did not include higher risk donors, such as hypertensive donors or elderly donors, compared to other reports. Therefore, our results may have not fully exhibited the impact of donor factors on the compensation of renal function. In addition, the consequences of hyperfiltration, such as albuminuria and hypertension, could not be evaluated due to our data collection method. Further studies should be carried out in a prospective fashion with an adequate control group in order to study the risk of such comorbidities and the survival of the donors. In conclusion, we found that in healthy donors with no major comorbidities, donor factors such as sex and BMI may affect renal function immediately after nephrectomy, but that compensation of renal function occurs over time, regardless of donor factors. The compensation rate reaches an average of over 72% of its initial renal function.
HIGHLIGHTS

The immediate postoperative estimated glomerular filtration rate decreased to about 65.5% of its primary function which is affected by the sex and body mass index of the donor.

In the long term, we found that compensation of renal function occurs over time, regardless of donor factors.

  31 in total

1.  Predictive capacity of pre-donation GFR and renal reserve capacity for donor renal function after living kidney donation.

Authors:  M Rook; H S Hofker; W J van Son; J J Homan van der Heide; R J Ploeg; G J Navis
Journal:  Am J Transplant       Date:  2006-07       Impact factor: 8.086

2.  Kidney function and compensatory growth of the kidney in living kidney donors.

Authors:  J Edgren; L Laasonen; B Kock; J W Brotherus; A Pasternack; B Kuhlbäck
Journal:  Scand J Urol Nephrol       Date:  1976

Review 3.  Hyperfiltration-mediated Injury in the Remaining Kidney of a Transplant Donor.

Authors:  Tarak Srivastava; Sundaram Hariharan; Uri S Alon; Ellen T McCarthy; Ram Sharma; Ashraf El-Meanawy; Virginia J Savin; Mukut Sharma
Journal:  Transplantation       Date:  2018-10       Impact factor: 4.939

4.  Living kidney donor follow-up in a dedicated clinic.

Authors:  S Adibul Hasan Rizvi; Syed Ali Anwar Naqvi; Fatema Jawad; Ejaz Ahmed; Ali Asghar; Mirza Naqi Zafar; Fazal Akhtar
Journal:  Transplantation       Date:  2005-05-15       Impact factor: 4.939

5.  No evidence of accelerated loss of kidney function in living kidney donors: results from a cross-sectional follow-up.

Authors:  I Fehrman-Ekholm; F Dunér; B Brink; G Tydén; C G Elinder
Journal:  Transplantation       Date:  2001-08-15       Impact factor: 4.939

6.  Nephrectomy elicits impact of age and BMI on renal hemodynamics: lower postdonation reserve capacity in older or overweight kidney donors.

Authors:  M Rook; R J Bosma; W J van Son; H S Hofker; J J Homan van der Heide; P M ter Wee; R J Ploeg; G J Navis
Journal:  Am J Transplant       Date:  2008-07-22       Impact factor: 8.086

7.  Pair-tested renal reserve filtration capacity in kidney recipients and their donors.

Authors:  P M ter Wee; A M Tegzess; A J Donker
Journal:  J Am Soc Nephrol       Date:  1994-04       Impact factor: 10.121

8.  2018 Korean Society for the Study of Obesity Guideline for the Management of Obesity in Korea.

Authors:  Mi Hae Seo; Won-Young Lee; Sung Soo Kim; Jae-Heon Kang; Jee-Hyun Kang; Kyoung Kon Kim; Bo-Yeon Kim; Yang-Hyun Kim; Won-Jun Kim; Eun Mi Kim; Hyun Soo Kim; Yun-A Shin; Hye-Jung Shin; Kyu Rae Lee; Ki Young Lee; Sang Yeoup Lee; Seong-Kyu Lee; Joo Ho Lee; Chang Beom Lee; Sochung Chung; Young Hye Cho; Kyung Mook Choi; Jung Soon Han; Soon Jib Yoo
Journal:  J Obes Metab Syndr       Date:  2019-03-30

9.  Mid- and Long-Term Health Risks in Living Kidney Donors: A Systematic Review and Meta-analysis.

Authors:  Linda M O'Keeffe; Anna Ramond; Clare Oliver-Williams; Peter Willeit; Ellie Paige; Patrick Trotter; Jonathan Evans; Jonas Wadström; Michael Nicholson; Dave Collett; Emanuele Di Angelantonio
Journal:  Ann Intern Med       Date:  2018-01-30       Impact factor: 25.391

10.  Age-dependent reference intervals for estimated and measured glomerular filtration rate.

Authors:  Hans Pottel; Pierre Delanaye; Laurent Weekers; Luciano Selistre; Karolien Goffin; Olivier Gheysens; Laurence Dubourg
Journal:  Clin Kidney J       Date:  2017-04-28
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