Alterations in the Mineral Bone Metabolism of Living Kidney Donors After Uni-Nephrectomy: Prospective Observational Study

Abstract

We investigated the dynamic change of mineral bone metabolism and explored factors associated with the alteration of mineral bone metabolism in the living kidney donors (LKDs) after uni-nephrectomy. One-hundred forty-four prospective LKDs who underwent kidney donation between May 2016 and September 2018 were enrolled. Laboratory evaluation regarding mineral bone metabolism including intact parathyroid hormone (iPTH), renal fractional excretion of phosphate (FEPi), and technetium-99m diethylenetriaminepentaacetate (^99mTc-DTPA) scan was performed predonation and 6 months after donation. We divided donors into two groups, the low ΔFEPi and high ΔFEPi groups, according to the change of FEPi after donation, and investigated significant risk factors associated with high ΔFEPi. At 6 months after uni-nephrectomy, estimated glomerular filtration rate (eGFR) significantly declined by 30.95 ml/min/1.73 m² (p < 0.001), but the measured GFR (mGFR) of the remaining kidney by ^99mTc-DTPA scan showed significant increase. Serum phosphorus decreased (p < 0.001), whereas FEPi (13.34–20.23%, p < 0.001) and serum iPTH (38.70–52.20 pg/ml, p < 0.001) showed significant increase. In the high ΔFEPi group, the proportion of preexisting hypertension (HTN) was higher, the baseline FEPi was lower, and the percent decline in eGFR was greater. Moreover, all of these factors were independently associated with high ΔFEPi upon multivariable logistic regression analysis. LKDs showed a significant change in mineral bone metabolism after uni-nephrectomy, especially when the donors had preexisting HTN, lower baseline FEPi, and showed greater loss of kidney function. Hence, strict monitoring of the mineral bone metabolism parameters and bone health may be required for these donors.

Introduction

It is well known that most patients with chronic kidney disease (CKD) show a progressive deterioration in mineral homeostasis. These changes have been associated with a complex state termed CKD-mineral and bone disorder (CKD-MBD), which can exhibit fragility fractures, vascular calcification, and cardiovascular disease or mortality (1–4). As the renal function declines, the ability of the kidneys to appropriately excrete a phosphate load is reduced leading to hyperphosphatemia, elevated parathyroid hormone (PTH), and decreased calcitriol with the associated elevations in the levels of fibroblast growth factor-23 (FGF-23) (5, 6). Although CKD-MBD begins early in CKD, serum phosphate level is normal due to compensatory increase in FGF-23 and PTH at the early stage. In this situation, renal fractional excretion of phosphate (FEPi) was reported to be a useful marker of phosphate homeostasis, an alternative to FGF-23 (7).

Meanwhile, the mechanisms of mineral bone metabolism adaptation in response to a loss of glomerular filtration rate (GFR) in early CKD are still controversial (8). Kidney donation allows us to determine the direct effect of a mild reduction in GFR on mineral bone metabolism without the other confounding factors (9). One of the largest prospective donor studies, the Assessing Long Term Outcomes in Living Kidney Donors (ALTOLD) study, compared the kidney donors to a paired control group, showing that mineral bone metabolism adaptation occurred after donation (10). However, the prospective change of the parameters associated with CKD-MBD and the significant factors associated with the progression of CKD-MBD have not yet been fully investigated.

In this regard, we conducted a prospective observational study of the living kidney donors (LKDs) to investigate whether uni-nephrectomy for kidney donation causes a change of mineral bone metabolism and explore which factors are associated with mineral bone metabolism adaptation by using FEPi as a surrogate marker for phosphate regulation in CKD.

Patients And Methods

Study Population

A total of 280 carefully screened healthy LKDs who underwent uni-nephrectomy for kidney donation in Seoul St Mary's Hospital (Republic of Korea) between May 2016 and September 2018 were enrolled prospectively. Participants were enrolled after acceptance for donation, but before donation had taken place. Participants who did not perform 24-h urine collection or technetium-99m diethylenetriaminepentaacetate (^99mTc-DTPA) scintillation-camera renography in two subsequent time points, predonation and 6 months after donation were excluded. Finally, out of 280 LKDs, 144 participants completed the studies after kidney donation and they were included in the postdonation analysis. This study was approved by the Institutional Review Board of Seoul St Mary's Hospital (KC14ONMI0460).

Clinical and Laboratory Parameters

We collected demographic and clinical data such as age at kidney donation, sex, preexisting hypertension (HTN), body mass index, and donated kidney laterality. Laboratory evaluation, 24-h urine collection, and ^99mTc-DTPA were performed in two subsequent time points, predonation and 6 months after donation. GFR was estimated by using the CKD-Epidemiology Collaboration (CKD-EPI) equation based on serum creatinine (11). Serum calcium was corrected for albumin according to the following formula: total calcium (mg/dl) + 0.8 × (4.0 − serum albumin (g/dl)) (if serum albumin < 4.0 g/dl). Serum intact PTH (iPTH) and 25-hydroxyvitamin D were measured by chemiluminescence immunoassay. FEPi was calculated as (12). Calcium-phosphorus product concentration was calculated as serum calcium (mg/dl) × serum phosphorus (mg/dl). Serum intact FGF-23 (Millipore Corporation, Billerica, Massachusetts, United States of America) was measured by using the ELISA according to the protocol of the manufacturer. Due to the wide variation of FGF-23 values, we performed analysis after the semi-log transformation of the data. According to the method described by Russel et al. (13), GFR was measured (mGFR) by ^99mTc-DTPA scintillation-camera renography, which is regarded as the gold standard of measuring split kidney function (14) with a single injection technique by using a four-point sampling approach at 10, 30, 180, and 240 min after injection. Renal angio 3D CT images were used for reconstruction and imported to a volume measuring software, AquariusNET Thin Client (TeraRecon, Inc., San Mateo, CA) to calculate the renal volumes. Renal volume and GFR were adjusted for body surface area and calculated by using the Du Bois and Du Bois method (15).

We calculated ΔFEPi by the difference of FEPi between baseline and 6 months after the kidney donation. Since the difference of FEPi was normally distributed, we used the mean value of ΔFEPi (7.41 ± 6.16%) as the cutoff for dividing the participants into the low ΔFEPi group (n = 76) and high ΔFEPi group (n = 68). We compared the clinical characteristics between the low ΔFEPi and high ΔFEPi groups and evaluated the significant risk factors associated with high ΔFEPi.

Statistical Analysis

All the continuous variables were expressed as the mean ± SD or median [interquartile range (IQR)]. The changes of parameters between two time points, predonation and 6 months after kidney donation, were evaluated by the paired comparison. If the variables followed the normal distribution, paired t-test was performed; otherwise, the Wilcoxon signed-rank test was performed. All the categorical variables were compared by using the chi-squared test or Fisher's exact test and expressed as proportions. In the comparisons of the two groups, the Student's t-test or Mann–Whitney U test was performed. The predictors of the greater mineral bone metabolism alterations were explored with multivariable logistic regression analysis. Baseline clinical and laboratory parameters showing the significant differences (p < 0.05) in univariable analysis or known to affect mineral bone metabolism alterations that were fitted into the multivariable model. We selected age, sex, preexisting HTN, predonation FEPi, and percent decline in estimated GFR (eGFR) as the predictors. Two-sided p < 0.05 were considered as statistically significant. All the statistical analyses were performed by using the SPSS® software version 24 (IBM Corporation, Armonk, New York, USA) and GraphPad Prism version 8.4.3 (686) (GraphPad Software, San Diego, CA, USA).

Results

Baseline Characteristics of the Living Kidney Donors

The baseline characteristics of the cohort are presented in Table 1. The mean age was 44.80 ± 11.96 years, 50 (34.7%) were males, and 11 (7.6%) had preexisting HTN. The mean predonation eGFR was 99.32 ± 12.88 ml/min/1.73 m². None of the LKDs in our cohort had predonation eGFR of <60 ml/min/1.73 m² and 36 (25.0%) of them had predonation eGFR of 60–89 ml/min/1.73 m². Serum creatinine, corrected calcium, phosphorus, 25-hydroxyvitamin D, intact PTH, and 24-h urine protein were within the reference range. At baseline, the mean FEPi was 14.13 ± 4.70%.

The left kidney was selected and procured for LKD transplantation in 116 (80.6%) donors. There was a statistically significant difference between mGFR of the donated kidney (dk-mGFR) (50.02 ± 8.66 ml/min/1.73 m²) and mGFR of the remaining kidney (rk-mGFR) (54.56 ± 10.22 ml/min/1.73 m²) (p < 0.001). On the other hand, no significant difference of adjusted volume between the donated kidney (dk-volume) (173.87, IQR: 157.38–193.09 cm³/1.73 m²) and the remaining kidney (rk-volume) (171.56, IQR: 155.25–193.00 cm³/1.73 m²) was observed (p = 0.651).

Change of Renal Function and the Biochemical Parameters of Mineral Bone Disease After Uni-Nephrectomy

The follow-up interval after uni-nephrectomy was within a range of 5.52 months and 7.96 months. At 6 months after uni-nephrectomy, we observed a statistically significant decrease of 30.95 ml/min/1.73 m² (95% CI: 29.57–32.33) in eGFR from 99.32 ± 12.9 to 68.38 ± 13.91 ml/min/1.73 m² (p < 0.001) (Figure 1A). We also observed a statistically significant increase of 14.87 ml/min/1.73 m² (95% CI: 12.70–17.04) following donation of the adjusted rk-mGFR from 54.56 ± 10.22 to 69.43 ± 16.16 ml/min/1.73 m² (p < 0.001) (Figure 1B). The Wilcoxon signed-rank test indicated a significant difference of 24-h urine protein between before donation (36.00, IQR: 20.00–62.50 mg/day) and after donation (52.50, IQR: 30.00–94.00 mg/day) (p < 0.001).

Figure 1

Regarding the biochemical parameters of MBD, serum phosphorus declined by 0.16 mg/dl (95% CI: 0.07–0.24) from 3.59 ± 0.48 to 3.43 ± 0.52 mg/dl (Figure 1C). The decline was significant according to a dependent t-test (p < 0.001). The increase of corrected serum calcium concentration was significant by 0.10 mg/dl (95% CI: 0.04–0.16) (p = 0.003), whereas the calcium-phosphorus product was significantly declined by 1.08 mg²/dl² (95% CI: 0.22–1.95) (p = 0.014). FEPi was significantly increased by 7.4% (95% CI: 6.40–8.43) from 14.13 ± 4.70 to 21.54 ± 6.26% (p < 0.001) (Figure 1D). On average, serum iPTH was much higher after donation (52.20, IQR: 42.30–71.05 pg/ml) compared than before donation (38.70, IQR: 29.83–50.58 pg/ml) according to the Wilcoxon signed-rank test (p < 0.001) (Figure 1E), whereas 25-hydroxyvitamin D showed no significant difference before donation (24.43 ± 9.26 ng/ml) and after donation (23.87 ± 9.37 ng/ml) (p = 0.488) (Table 2).

Comparison Between the Low Delta FEPi and High Delta FEPi Groups

We divided LKDs into two groups according to the change of FEPi after uni-nephrectomy, a low ΔFEPi group (n = 76) and a high ΔFEPi group (n = 68). Between the two groups, age, the proportion of the male participants, and body mass index (BMI) were not different. Adjusted dk-volume, adjusted dk-mGFR, and percent of dk-mGFR were similar between the two groups. A significantly high proportion of the LKDs had HTN before donation in the high ΔFEPi group than the low ΔFEPi group (2.6 vs. 13.2%, p = 0.017). Predonation FEPi was significantly lower in the high ΔFEPi group (14.52, IQR: 12.00–18.87 vs. 12.08, IQR: 9.68–15.19%, p < 0.001). Percent decline in eGFR after uni-nephrectomy was significantly higher in the high ΔFEPi group (p = 0.043) (Table 3).

Factors Associated With Mineral Bone Metabolism Disturbance After Uni-Nephrectomy

To investigate the determinants of the mineral bone metabolism disturbance after uni-nephrectomy, a multivariable logistic regression analysis was conducted. The predictor variables were tested to verify that there was no multicollinearity. Three predictor variables—percent decline in eGFR, predonation FEPi, and preexisting HTN—were found to contribute to the model (Table 4).

An increase in percent decline in eGFR (%) was associated with an increase in the odds ratio (OR) of the progression of the alteration of the mineral bone metabolism (OR 1.051, 95% CI: 1.002–1.103, p = 0.042). The presence of HTN before the donation was associated with the progression of the disturbance of the mineral bone metabolism (OR 7.302, 95% CI: 1.240–43.012, p = 0.028). Predonation FEPi was also inversely related with the progression of the alteration of the mineral bone metabolism (OR 0.847, 95% CI: 0.773–0.928, p < 0.001).

Discussion

In this study, we described the postdonation change of the renal function and mineral bone metabolism parameters and investigated the determinants of mineral bone metabolism alteration after uni-nephrectomy. We found that the percent decline in eGFR following uni-nephrectomy was less than the mean percent of dk-mGFR due to functional gain of the remaining kidney. After donation, the changes in the biochemical parameters with respect to MBD were similar to secondary hyperparathyroidism with an increase of iPTH and phosphaturia. Preexisting HTN, predonation FEPi, and percent decline in eGFR were the significant predictors of a greater increase in FEPi, a surrogate marker of mineral bone metabolism disturbance after donation.

According to the Kidney Disease: Improving Global Outcomes (KDIGO) guideline (16), none of the donors had a predonation eGFR of <60 ml/min/1.73 m² in our cohort. Whether preexisting HTN would be a risk factor of accelerating the rise in blood pressure (BP) and might cause target organ damage to the remaining kidney is controversial (17). Thus, a few donors with preexisting HTN, who controlled BP using one or two antihypertensive agents without target organ damage, were observed in our cohort. Left kidney nephrectomy is favored over right kidney nephrectomy due to the relative technical ease of operation due to the longer renal vein (18). Most donor kidneys (80.3%) were procured from the left side as expected. The reason for significantly higher mGFR in the remaining kidney than in the donated kidney is the preferential selection of kidneys with lesser function for donation.

Due to functional gain of the remaining kidney in the early postdonation period, the percent decline in eGFR following uni-nephrectomy was 31.45 ± 8.23% rather than the mean percent of dk-mGFR (47.90 ± 3.83%), which is associated with the amount of loss of nephron. The results are consistent with the previous studies showing that rapid compensatory hyperfiltration of the remaining kidney leads to a net reduction in GFR of approximately 30% after donation, despite a renal mass loss of approximately one-half (16, 19–21). The kidney has a substantial functional reserve capacity to preserve renal function after the reduction of mass of nephron. This adaptive hyperfiltration in a single kidney involves a change in renal hemodynamics with an increase in renal blood flow occurring within the days after nephrectomy (22, 23). Glomerular hyperfiltration in the remaining functional nephrons is attributed to injury to the remaining kidney resulting in an increased BP, albuminuria, and ultimately end-stage kidney disease in some donors (19, 24). Even though the absolute value is not clinically relevant, increased proteinuria after the donation was noted.

Previously, the effect of mild isolated kidney decreases in GFR on the biochemical parameters was mostly studied in patients with advanced CKD or undergoing dialysis. Since the disturbance of mineral bone metabolism starts at CKD stage 2 (25, 26), it might be of great interest to study the change of the biochemical parameters in the LKDs, which induce a decrease in the function of kidney with less confounding factors. Experimental data suggest that FGF-23 increase, which targets the remnant nephrons, is an early event in CKD, thereby enhancing renal phosphate excretion and inhibiting the production of 1,25-dihydroxyvitamin D (27). Therefore, FGF-23 is likely an important mediator of the tubular adaptation of phosphate regulation in CKD. We measured FGF-23 in 34 LKDs and analyzed changing pattern following donation. FGF-23 tended to increase in a semi-logarithmic fashion after donation (85.20, IQR: 70.88–386.27 to 106.71, IQR: 73.91–1072.75 pg/ml) (p = 0.092) (Supplementary Figure S1). Our results consistently showed that elevation of the phosphaturic hormones, PTH and FGF-23, and decline of serum phosphorus level occurred after mild functional loss of the nephron in the LKDs (10, 28–30).

Despite several reports of mineral bone metabolism disturbance after donation, the predictors of the development of MBD among kidney donors have not yet been investigated. Furthermore, the effect of a modest decrease in GFR on the development of MBD among kidney donors is not clear (31). As FEPi is suggested to be a surrogate marker of phosphate regulation and an alternative to FGF-23 (7), we considered the greater change in FEPi is associated with the development of MBD. The donors with greater change in FEPi had a higher percent decline of eGFR. Functional gain of the remaining kidney and mGFR of the donated kidney per se was not associated with the change in mineral bone parameters. However, it was a significant predictor of MBD after donation, when we considered both together. In other words, when the loss of the nephron is large, but the functional gain is small, which induces a high percent decline of eGFR, the risk of MBD is high. Thus, insufficient compensation to GFR reduction in the early predonation period might yield inadequate mineral bone metabolism adaptation.

In addition, preexisting HTN and predonation FEPi were the significant predictors of MBD after donation. Hypertensive nephrosclerosis might cause subtle scarring of the kidney that may not be detected before donation (32) and subclinical pathology may impair compensation after uni-nephrectomy (33). With respect to another predictor, predonation FEPi, due to a tightly regulated process of phosphate reabsorption to maintain phosphate homeostasis (34), phosphate excretion reflects not only the changes in phosphate balance but also dietary intake. However, this study had a limitation in no data on dietary phosphate intake. Despite the limitation, we confirmed that percent decline in eGFR and preexisting HTN are the predictors of greater change in mineral bone metabolism upon adjusting for the impact of predonation of FEPi through multivariable logistic regression.

Our study had several limitations. Comparison with healthy control groups has not been presented and only short-term follow-up data have been shown. However, donor design would be adequate in comparison to short-term outcome associated with predonation demographic or clinical traits (31). Although a recent study showed that kidney donation is associated with an increased risk of ischemic heart disease in long-term follow-up (35), there is limited evidence of how early elevated renal phosphate excretion is associated with vascular calcification, cardiovascular disease, and long-term prognosis after uni-nephrectomy. Long-term follow-up with a healthy control group may be required to clarify this issue. Nevertheless, it is meaningful that this is the first study to investigate the predonation characteristics and physiologic changes, which result in differential mineral bone metabolism adaptation.

In conclusion, this study demonstrated that the LKDs who undergo a mild decline in kidney function without any other comorbidities experience a significant alteration of mineral bone metabolism. Additionally, the change is more significant in the LKDs with preexisting HTN, lower baseline FEPi, and greater decline in eGFR after donation. Therefore, our results suggest that initial workup of mineral bone metabolism parameters is required and postdonation follow-up is needed for the LKDs who had risk factors such as lower baseline FEPi or preexisting HTN.

Funding

This study was supported by a grant from the Basic Science Research Program through the National Research Foundation of Korea (NRF), Republic of Korea (NRF-2020R1C1C1008346).

Publisher's Note

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