Summary
Unilateral nephrectomy for kidney donation results in loss of about 30% of baseline GFR, leaving some donors with GFR <60 ml/min per 1.73 m2, the threshold for the diagnosis CKD. This has resulted in insurability problems for some donors. This article reviews the definition of CKD, risks associated with CKD, and large follow-up studies on the vital status and risk of ESRD in kidney donors. It also provides evidence that kidney donors, despite having reduced GFR, are not at increased risk for CKD-associated morbidity and mortality. Epidemiologic studies, most with follow-up <10 years, have shown an association between GFR <60 ml/min per 1.73 m2 and higher mortality and progression to ESRD. Low GFR in the absence of any other markers for kidney disease, however, conveys attenuated or minimal risk. Of note, studies of long-term kidney donor outcomes (6–45 years) have not shown excess mortality or ESRD. The limitation of the collective evidence is that the increased risks associated with GFR <60 ml/min per 1.73 m2 were demonstrated in much larger cohorts than those reported for kidney donor outcomes, but donor outcome studies have substantially longer follow-up. On the basis of current findings, kidney donors with low GFR and no other signs of kidney disease should not be classified as having CKD. This is definitely not the reward they deserve, and, more important, the implications of reduced GFR in donors are not associated with unfavorable outcomes.
Patients with ESRD have a limited number of options: dialysis, transplant, or death. Compared with dialysis, a transplant is associated with longer survival and better quality of life (1,2). Patients wanting a transplant must make a critical decision—to go on the waiting list for a deceased-donor (DD) transplant or (if there is a willing living donor [LD]) to have an LD transplant. Compared with a DD transplant, an LD transplant is associated with longer patient and graft survival. In addition, the increasing number of patients who are interested in and are eligible for a kidney transplant has not been associated with a commensurate increase in the number of DD organs. This has resulted in a markedly longer waiting time on the list. The increasing waiting time for a DD transplant and the poor short- and mid-term results with dialysis have put increased emphasis on living donation.
The major disadvantage of an LD transplant is the risk to the donor. Studies over the last three decades have noted a perioperative donor mortality rate of 3 in 10,000 (0.03%) and a major complication rate of <1% (3–5). Laparoscopic nephrectomy is associated with quicker recovery than open nephrectomy but carries similar risk. To date, long-term follow-up studies report that donors, compared with controls, have similar or better survival rates, and perhaps lower rates of development of ESRD (5–14). In addition, donor quality of life after donation is excellent (15). Of concern, however, is that recent studies in the nondonor general population have suggested that reduced renal function is associated with increased cardiovascular and all-cause mortality; consequently, some former donors have had problems obtaining life and health insurance or are being forced to pay higher premiums (16,17). At the same time, some former donors with stable renal function have been labeled as having CKD. Herein, we review level of renal function after donation and the data on long-term survival and risk of ESRD after kidney donation.
Definition of CKD
Many observation studies have shown the association between reduced renal function and increased cardiovascular and all-cause mortality (18–20). For example, Go et al., using a large integrated database (n=1,120,155), reported the risk for cardiovascular events and death as estimated GFR (eGFR) decreased to <60 ml/min per 1.73 m2 (18). Median follow-up was 2.84 years. For those with eGFR of 45–59 ml/min per 1.73 m2, the adjusted risk for cardiovascular events was 1.4 (95% confidence interval, 1.4 to 1.5) and the adjusted risk for death was 1.2 (95% confidence interval, 1.1 to 1.2), and lower eGFR was incrementally associated with increased hazard ratio for both outcomes. Additional studies and meta-analyses have confirmed that reduced eGFR is an independent risk factor for adverse outcomes in both high- and low-risk populations (19–21). Of note, in these analyses, the average follow-up has been <10 years (Table 1); thus, the increased risk associated with reduced eGFR has occurred in a relatively short interval.
Table 1.
Representative studies reporting an association between estimated GFR and outcome
Population | Participants (n) | Follow-up (yr) | Independent Variables | Dependent Variables | Reference |
---|---|---|---|---|---|
Health care System | 1,120,295 | Median, 2.4 (IQR, 1.65–4.01 yrs | eGFR, MDRD | Death, cardiovascular events, hospitalization | 19 |
General | 1,234,182 | Median, 7.9 (range, 2–12) | eGFR, MDRD | All-cause and cardiovascular mortality | 20 |
General and high risk | 1,019,017 | Range, 2–22 | eGFR, MDRD; albuminuria | ESRD | 21 |
High risk | 266,975 | Range, 2.3–22 | eGFR, MDRD; albuminuria | All-cause and cardiovascular mortality | 22 |
Kidney disease | 21,688 | Range, 2–8 | eGFR, MDRD | Mortality | 23 |
eGFR, estimated GFR; IQR, interquartile range; MDRD, Modification of Diet in Renal Disease.
In 2002, the National Kidney Foundation (NKF) and the Kidney Disease Outcomes Quality Initiatives (KDOQI) Clinical Practice Guidelines group defined CKD and classified severity on the basis of eGFR (Table 2) (22). The goal was to develop a system to identify early stages of disease that could progress or lead to complications and to provide objective diagnostic criteria (22–24); the rationale was that “therapeutic interventions at earlier stages can prevent or ameliorate most of the complications of CKD as well as slow the progression to kidney failure” (23). CKD was defined as the presence, for ≥3 months, of (1) kidney damage as defined by structural or functional abnormalities of the kidney (with or without decreased GFR) or (2) GFR <60 ml/min per 1.73 m2, irrespective of cause. Earlier this year, the new Kidney Disease Improving Global Outcomes (KDIGO) practice guidelines have become available (25). The new CKD classification uses GFR level, urinary albumin, and cause of CKD. However, eGFR <60 ml/min per 1.73 m2 for >3 months is still classified as CKD stage 3 (Table 3). Tables 4 and 5 show the percentage of 255 former donors (from our institution) with iohexol-measured GFR who would fall into each of the CKD stages according to each classification.
Table 2.
2002 National Kidney Foundation and Kidney Disease Outcomes Quality Initiatives CKD classification
CKD Stage | Description | eGFR (%) |
1 | Kidney damage with normal or increased GFR | ≥90 |
2 | Kidney damage with mildly decreased GFR | 60–89 |
3 | Moderately decreased GFR | 30–59 |
4 | Severely decreased GFR | 15–29 |
5 | Kidney failure | <15 (or dialysis) |
Modified from reference 24. eGFR, estimated GFR.
Table 3.
2013 National Kidney Foundation and Kidney Disease Outcomes Quality Initiatives CKD classification
GFR Stage | eGFR | Albuminuria Stage | ACR (mg/g) | Diagnosis |
1 | ≥90 | A1: optimal | <10 | Diabetes |
2 | 60–89 | High normal | 10–29 | Hypertension |
3 | 30–59 | A2: high | 30–299 | Glomerular disease |
3a | 45–59 | A3: very high | 300–1999 | Others |
3b | 30–44 | Nephrotic | >2000 | Transplant |
4 | 15–29 | Unknown | ||
5 | <15 (or dialysis) |
Modified from reference 25. ACR, albumin-to-creatinine ratio.
Table 4.
Former donors (N=255) with measured iohexol GFR and percentage falling into each CKD classification by Kidney Disease Improving Global Outcomes 2002 guidelines
CKD Stage | eGFR (ml/min per 1.73 m2) | Iohexol GFR (%) |
1 | ≥90 | 8.6 |
2 | 60–89 | 77.0 |
3 | 30–59 | 14.5 |
4 | 15–29 | 0 |
5 | <15 | 0 |
Table 5.
Former donors (N=255) with measured iohexol GFR and percentage falling into each CKD classification by Kidney Disease Improving Global Outcomes 2013 guidelines
GFR Categories (ml/min per 1.73 m2) | Albuminuria Categories | ||
A1: ACR < 30 mg/g | A2: ACR 30–300 mg/g | A3: ACR > 300 mg/g | |
G1 (≥90) | 7.0 | 1.6 | 0 |
G2 (60–89) | 70.3 | 6.3 | 0.4 |
G3a (45–59) | 12.9 | 0.4 | 0 |
G3b (30–44) | 1.2 | 0 | 0 |
G4 (15–29) | 0 | 0 | 0 |
G5 (<15) | 0 | 0 | 0 |
ACR, albumin-to-creatinine ratio.
The CKD Definition: Limitations, Harms, and Unintended Consequences
GFR can be estimated from the serum creatinine level; thus, eGFR is an inexpensive screening test. Developing a screening tool that has prognostic significance is important for assisting in patient care (early detection), clinical research, epidemiologic studies, and drafting public health policies (24). Undoubtedly, reduced eGFR has reasonable sensitivity and specificity to detect true reduction in kidney function, and its performance may be enhanced further by incorporating urinary protein level, as recently done by the KDIGO group. But using the criterion of eGFR <60 ml/min per 1.73 m2 (for >3 months) without any other evidence of kidney damage to define CKD, as stated in the 2002 guidelines (and continued in the current guidelines), has engendered considerable debate (26–33). Concerns have centered on several issues:
The NKF guidelines recommended that eGFR be calculated using the Modification of Diet in Renal Disease (MDRD) study equation. This formula was developed in patients with well-defined kidney disease and underestimates true GFR in healthy persons and donors. When the MDRD formula is used, a significant percentage of the population with true GFR >60 ml/min per 1.73 m2 are classified as having CKD; this is particularly true for those with eGFR of 45–59 ml/min per 1.73 m2. Given that GFR declines with aging, using this single cutoff for GFR without considering age significantly overestimates CKD in the older population, particularly women (34). In addition, the MDRD study equation was based on a North American population and may not necessarily apply to other population groups. The newly introduced and recommended CKD-Epidemiology Collaboration (CKD-EPI) estimating model may provide further improvement over the MDRD study equation. Of note, the bias with the CKD-EPI model is trivially different from that with the MDRD study equation but is more precise. It is critical to realize that unless the isotope dilution mass spectrometry–traceable creatinine assay is used, one cannot use this model to estimate GFR.
Use of the word “disease” has specific connotations and may be inappropriate for some groups who have no progressive deterioration of renal function, no other sign of kidney disease (e.g., albuminuria), no other comorbidity, and perhaps no increased long-term risks. Glassock and Winearls note, “The major flaw of using eGFR to categorize CKD is most obvious for CKD stage 3. The…system contains the unfortunate error of using an absolute threshold of eGFR (as assessed by the MDRD study equation)…and does not require any corroborating evidence of kidney damage” (26).
Although epidemiologic studies denote an association between eGFR <60 ml/min per 1.73 m2 with increased risk, subgroups with repeated measurements and stable eGFR have markedly attenuated risk (26,27,29). Additional data suggest that mildly reduced eGFR, without proteinuria or elevated cystatin C, has no or limited risk (35,36). Whether the risk conveyed by elevated cystatin C is due to true depression of GFR or reflects an underlying inflammatory state needs to be defined.
Neither the KDOQI nor KDIGO definitions diagnosis. As noted above, patients used for development of the MDRD study equation had well defined kidney disease. In contrast, patients undergoing unilateral nephrectomy (for cause or for kidney donation) with a normal kidney on the contralateral side have reduced GFR for a unique reason. No data support increased risks in these populations (5–14,37,38).
There are harms with labeling asymptomatic, and perhaps risk-free, patients as having a disease, including unnecessary referrals and investigations, adverse events from follow-up tests, increased costs, and psychological effects (anxiety) (26,28). What has not been stressed are the unintended consequences—insurance companies are now using MDRD-calculated eGFR for risk stratification. This has resulted in problems for donors (and presumably other patients having unilateral nephrectomy), including difficulty in obtaining life and health insurance and paying increased premiums (16,17). This is not a trivial or isolated problem; in fact, it has been estimated that 2%–11% of former donors have had insurability problems (17). In addition, fear of insurance problems or future job changes in which they would be labeled as having a preexisting condition have discouraged some candidates from donating. To some extent, these problems may be unique to the United States and do not exist in countries with universal health care. It is hoped that the upcoming health legislation in the United States would prevent these donors from being labeled as having preexisting conditions.
Kidney Donor Evaluation, Selection Criteria, and Kidney Function after Nephrectomy
Kidney donor candidates undergo extensive medical and psychosocial evaluation. Criteria for acceptance include having two kidneys, normal kidney function, no identifiable risk of disease transmission (e.g., hepatitis C), and ability to tolerate the procedure with no (or minimal) increased risk (versus age-matched healthy general population). However, transplant centers’ criteria for the minimal accepted GFR vary widely (39). Most centers insist on a minimal GFR of 80 ml/min per 1.73 m2. Some, however, recognizing the decline in GFR with age, are willing to accept older donors with GFR <80 ml/min per 1.73 m2. Donor nephrectomy results in the immediate loss of 50% of kidney function. The remaining kidney quickly compensates so that within a few weeks GFR returns to approximately 70% of prenephrectomy levels. Recent data indicate that for some donors, especially younger donors, GFR progressively improves over time (11,40).
Given that some donors have an eGFR of 80 ml/min per 1.73 m2 at donation and a loss of approximately 30% of GFR after uninephrectomy, some will certainly have a future GFR <60 ml/min per 1.73 m2 and thus, when the KDOQI or KDIGO systems are used, be classified as having CKD. Age-related decline in GFR will result in increased numbers so classified. Garg et al. estimated that within 10 years of donation, 12% of donors had GFR <60 ml/min per 1.73 m2 (41). Subsequent single-center studies have reported rates as high as 85% (42–44). Tent et al. studied measured GFR (mGFR) versus eGFR as determined by three equations (MDRD, Cockcroft-Gault, and the CKD-EPI) in LDs before and after donation (45). All three equations significantly underestimated mGFR. Mean mGFR (ml/min per 1.73 m2) ± SD was 66±11; mean eGFR by MDRD was 51±9, by CKD-EPI was 56±11, and by Cockcroft-Gault was 63±13. Reported risk factors for postdonation eGFR <60 ml/min per 1.73 m2 include older age at donation, hypertension, and body mass index (11,42,46).
We have recently investigated the performance of four GFR estimating models in 255 donors who underwent iohexol GFR measurement (3–45 years after donation using isotope dilution mass spectrometry–traceable creatinine assay and also standardized cystatin C) (Table 6). For donors with eGFR <60 ml/min per 1.73 m2 by MDRD, 34.6% had mGFR >60 ml/min per 1.73 m2; of those with eGFR <60 ml/min per 1.73 m2 by CKD-EPI-creatinine, 58.5% had mGFR >60 ml/min per 1.73 m2; of those with eGFR <60 ml/min per 1.73 m2 by CKD-cystatin C, 73% had mGFR >60 ml/min per 1.73 m2; and for those with eGFR <60 ml/min per 1.73 m2 by CKD-EPI-creatinine + cystatin C, 70.3% had mGFR >60 ml/min per 1.73. For GFR >60 ml/min per 1.73 m2, eGFR (CKD-EPI-creatinine + cystatin C) was concordant in 97.2% of the cases. Of note, the three models fully agreed when measured GFR was <45 ml/min per 1.73 m2.
Table 6.
Accuracy of estimated GFR models in classifying donors as having GFR <60 or >60 ml/min per 1.73 m2
eGFR Estimating Model | Iohexol GFR < 60 ml/min per 1.73 m2 (%) | Iohexol GFR ≥ 60 ml/min per 1.73 m2 (%) |
---|---|---|
MDRD | 63.4 | 82.9 |
CKD-EPI-Creat | 41.5 | 94.4 |
CKD-EPI-CysC | 27.0 | 96.7 |
CKD-EPI-Creat+CysC | 29.7 | 97.2 |
eGFR, estimated GFR; MDRD, Modification of Diet in Renal Disease; CKD-EPI, CKD-Epidemiology Collaboration; Creat, creatinine; CysC, cystatin C.
Long-term Survival after Donation
The first successful kidney transplantation was done between identical twins in Boston in 1954. In the next two decades, only a limited number of LD transplants were done. Early studies showed no increase in long-term mortality (6,7), but until recently no truly long-term (>20 year) data were available. However, >20-year outcome after unilateral nephrectomy done for cause (e.g., trauma, cancer) has been reported. Baudoin et al. noted no increased risks up to 50 years after uninephrectomy in 111 children, 75% of whom had GFR 75% of baseline; Narkun-Burgess et al. reported similar findings 45 years after uninephrectomy for trauma during World War II (37,38). The degree of CKD in earlier studies cannot be ascertained because the use of the GFR threshold of 60 ml/min per 1.73 m2 to diagnose CKD is a new development.
Several studies from around the world have now compared long-term survival after donor nephrectomy with survival in the general population (Table 5) (8,11–14). In a single-center study from Sweden, Fehrman-Ekholm et al. compared donor survival (n=430) with expected survival calculated from mortality data in the Swedish general population using age-, sex-, and calendar-year–specific mortality rates, concluding that kidney donors live longer than would be expected (8). In a single-center study in the United States, Ibrahim et al. compared donor survival (n=3698) with survival in the age-, sex-, and ethnicity-matched general population and found no difference between groups (11). Similar findings have now been reported from Japan, Norway, and France (12–14). Each of these studies has two limitations: (1) the relatively small n values (especially compared with the population studies showing a relationship between reduced eGFR and mortality) (Table 1 versus Table 7) and (2) the use of general population controls. Kidney donors are a subgroup selected from the general population to be healthy at the time of donation, so it may be that donors should be expected to have better survival than the general population. However, an important strength of these studies is that they show no increased risk even after >20 years of follow-up. As shown in Table 1, studies showing increased risk associated with reduced eGFR have had an average follow-up <10 years.
Table 7.
Studies of long-term living kidney donor survival
Country | Donor Setting | Patients (n) | Follow-up (yr) | Controls | Reference |
---|---|---|---|---|---|
Sweden | Single center | 430 | Range, 1–35 | General population | 8 |
United States | Single center | 3698 | Mean ± SD, 16±11 (range, 3–45) | Human.Mortality Database | 12 |
Japan | Single center | 481 | Mean ± SD, 14±12 (range, 1–34) | General population | 13 |
Norway | Single (national) center | 2269 | Median, 14 (range 1–48) | General population | 14 |
France | Single center | 352 | Range, 1–48 | General population | 15 |
United States | National registry | 80,347 | Median, 6.3 (range, 1–15) | Healthy population | 5 |
Canada | Province of Ontario | 2028 | Median, 6.5 (range, 1–18) | Healthy population | 53 |
Two studies, albeit with shorter follow-up, have addressed some of the limitations highlighted in the previous paragraph (Table 5). Segev et al. compared survival of 80,347 donors reported to the Organ Procurement and Transplantation Network in the United States with survival of participants of the Third National Health and Nutrition Examination Survey (NHANES III) (5). Participants in NHANES III who had comorbid conditions or other factors that would have made them ineligible to be donors were excluded from the analysis. Survival was similar between donors and age-, sex-, and ethnicity-matched controls. Most recently, Garg et al. compared the survival and cardiovascular disease in 2028 donors from the province of Ontario with the survival of 20,280 general population–matched controls (47). Selection of controls excluded adults with any medical condition that precluded donation. This rigorous selection of controls excluded 85% of Ontario residents. Controls were matched with donors for age, sex, index date, rural or urban residence, and income. The two groups did not differ for the composite of time to death or first major cardiovascular event, or time to major cardiovascular event censored for death.
Risk for ESRD
Some kidney donors have developed ESRD (10–12,14,48,49). In the largest series to date, Cherikh et al. reported that 126 former donors have been put on the waiting list for transplantation in the United States (48). This may underestimate the rate of ESRD in that some developing ESRD may no opt for transplantation or have received an LD transplant. Cherikh et al. calculated ESRD rates for a subset, as, nationally, donor outcomes were not captured before 1995, and concluded that rates are not increased in donors. In large single-center studies, ESRD rates after donation are similar to those in age-, sex-, and ethnicity-matched populations (10,11). Reported postdonation ESRD rates are higher for blacks and Hispanics than for whites, male patients, and younger donors. However, the ethnicity- and sex-related differences are similar to those observed in the general population with two kidneys (48,49).
Critically, other than for donors who subsequently develop intrinsic kidney disease or systemic disease affecting the kidney, no study has ever shown a postdonation progressive decline in GFR greater than that expected with aging (11,41). In fact, some donors (particularly those younger at the time of donation) have had improvement in GFR over time (11,40).
Kidney Donors Are Not Protected from Risk
Determining risk is critical for informing future donor candidates (50). Donor evaluation can determine health only at the time of evaluation, and donors will always be at risk for surgical complications and of developing diseases later in life. Steiner has stressed that ESRD in the United States is primarily a disease of older individuals (51) and that evaluation at a young age will neither detect a prodrome nor reduce the baseline lifetime risk of ESRD. He notes that annually only 13% of new ESRD cases in the United States occur in patients younger than age 45 years. Thus, it is unlikely that evaluation at age 20 or 25 years will minimize the estimated lifetime risk of 2%–2.5% in whites and 7%–8% in blacks. The most common diseases causing ESRD in the general population are hypertension and diabetes; both have a familiar pattern. Additional studies are necessary to determine risks in donors from younger cohorts and those with familial disease (50). Questions that need to be answered include whether nephrectomy will accelerate development of hypertension or shorten the time to CKD stage 3, or progression from stage 3 to ESRD, in those developing hypertension or diabetes after donation.
Because of the organ shortage and the long waits on dialysis, acceptance criteria for LDs have been expanded. Currently, many centers will accept older donors with hypertension well controlled with a single drug or donors with a body mass index >30 kg/m2; both are potential risks for CKD, and it is also important to perform long-term follow-up studies in these cohorts (50).
Data on donors who develop hypertension or diabetes after donation are limited. Short-term studies have shown that selected white donors with hypertension well controlled by a single drug at the time of donation do not have increased risks (52,53). With respect to diabetes, Ibrahim et al. reported on 154 donors who developed type 2 diabetes (T2DM) a mean ± SD of 17.7±9 years after donation (54). Mean follow-up after development of T2DM was 7.7±7 years. Of note, the majority had not donated to recipients with diabetes; 20% had a family history of T2DM. When matched for age, sex, duration after donation, and body mass index to nondiabetic donor controls, those with T2DM were more likely to have hypertension and proteinuria but had similar serum creatinine. Of the total, 64 had multiple serum creatinine determinations after development of T2DM. The annual eGFR change in these donors was −0.8±0.9 ml/min per 1.73 m2; the annual change in 522 donors without diabetes who were ≥15 years postdonation was −0.7±0.80 ml/min per 1.73 m2 (P=0.43).
In consideration of other manifestations of reduced GFR, kidney donors may also be at higher risk for the development of preeclampsia (55,56). This risk, however, is indistinguishable from that in white controls from the general population. It is also important to point out that donors have higher levels of fibroblast growth factor-23 and parathyroid hormones, the implications of which are not known (57). Kidney donors, however, are not at increased risk of fractures (58).
Kidney Donation in Minorities
Minorities, particularly African Americans (AAs), are overrepresented in the ESRD population, mainly because of a higher incidence of hypertension, diabetes, and recently recognized genetic predispositions. The safety of donation in this population is critical as the proportion of minority donors is approaching 15% of all donors. Data to date suggest the following:
Lentine et al. reported that the prevalence of hypertension and diabetes in AA donors is similar to that in AA with two kidneys (49). However, a recent matched cohort study of 103 AA donors revealed a 40.8% prevalence of hypertension versus 17.9% in controls after 6.8±2.3 years of follow-up (59). This prevalence is strikingly similar to that reported in Aboriginal kidney donors (42% versus 19% in white controls) (60).
AA donors made up 40% of the 126 donors reported by Gibney et al. to have gone on the DD waiting list (61). Only one ESRD case was seen in the series by Lentine et al., and none were seen in the matched cohort study by Doshi et al. (49,59).
Regarding lifespan of donors from minority groups to date, no data suggest inferior long-term outcomes (5).
Going Forward: Modification of CKD Staging
There is a disconnect between the KDOQI and KDIGO CKD definitions, the increased mortality and ESRD rates associated with having CKD, and the relatively benign long-term course after unilateral nephrectomy (with a normal contralateral kidney). One possibility is that the total number of studied LDs is not yet sufficient to demonstrate an increased risk. Another is that patients undergoing unilateral nephrectomy have reduced GFR for reasons totally different from the reasons in patients with kidney disease, and as a result they do not have the same long-term risks. In addition, the association between CKD and cardiovascular disease might not be causal but a result of shared risk factors for both conditions (32). As noted above, reduced GFR without other markers of kidney disease may not be associated with increased risks (34,35). It is important—both for determining how aggressively to follow former donors and for better providing information to future donor candidates—to ascertain whether a GFR <60 ml/min per 1.73 m2 for >3 months after uninephrectomy, in the absence of any other markers of disease, is a long-term risk factor.
Recognizing the flaws in the 2002 KDOQI system, the NKF-KDOQI group, on the basis of an international consensus conference, has suggested that the classification of CKD be revised and the clinical practice guidelines on CKD be updated (Table 2) (24,25). The group recommended three revisions (Table 2). First is the addition of an albuminuria stage (albumin-to-creatinine ratio [ACR] [mg/g] <30, 30–299, and >300). Second involves splitting CKD stage 3 into two subgroups—3a (eGFR of 45–59 ml/min per 1.73m2) and 3b (eGFR of 30–44 ml/min per 1.73m2)—basically identical to the new KDIGO guidelines. Although reported risks are similar for patients with ACR < 10 mg/g and ACR of 10–29 mg/g, the group suggested independent study of risks for those in stage 3a (GFR of 30–49 ml/min per 1.73 m2) with an ACR <10 g/ml. This would be important for donors in that the overwhelming majority of donors with reduced eGFR continue to have optimal ACR (11). However, the revised guidelines leave former donors with stable eGFR <60 ml/min per 1.73 m2 with the same problem; they meet the definition of CKD stage 3. The third revision was to emphasize clinical diagnosis, the group recommended incorporating six diagnoses into the classification (diabetes, hypertension, glomerular disease, many others, transplant, and unknown). We suggest that an additional diagnosis be added incorporating all cases with unilateral nephrectomy and a normal contralateral kidney; alternatively, given that evaluation is so extensive before donor nephrectomy, the diagnosis of “donor nephrectomy” should be added. In this way, future epidemiologic studies will be able to better determine whether this subgroup of patients is at any increased long-term risk.
In summary, the definition of CKD classifies patients with eGFR <60 ml/min per 1.73 m2 for >3 months as stage 3 CKD even when they have no other signs or symptoms of kidney disease. Given the acceptance criteria for living donation and the normal decline of GFR with aging, some asymptomatic donors are being classified as CKD stage 3. Consequently, some donors have difficulty obtaining life or health insurance; other potential donors shy away from donation because of fear of being labeled by insurance companies as having a preexisting condition. Yet long-term follow-up studies have not shown any increased risks for patients (donors and nondonors) undergoing unilateral nephrectomy while having a normal contralateral kidney. We recommend changes to the current CKD classification to differentiate those having reduced GFR due to nephrectomy from those having reduced GFR from other pathogenic causes. At the same time, we strongly believe that additional long-term studies after living donation are necessary.
Disclosures
None.
Acknowledgments
We would like to thank Hang McLaughlin for assistance in preparation of the manuscript.
This manuscript was supported by National Institutes of Health grant DK-13083.
Footnotes
Published online ahead of print. Publication date available at www.cjasn.org.
References
- 1.Wolfe RA, Ashby VB, Milford EL, Ojo AO, Ettenger RE, Agodoa LY, Held PJ, Port FK: Comparison of mortality in all patients on dialysis, patients on dialysis awaiting transplantation, and recipients of a first cadaveric transplant. N Engl J Med 341: 1725–1730, 1999 [DOI] [PubMed] [Google Scholar]
- 2.Evans RW, Manninen DL, Garrison LP, Jr, Hart LG, Blagg CR, Gutman RA, Hull AR, Lowrie EG: The quality of life of patients with end-stage renal disease. N Engl J Med 312: 553–559, 1985 [DOI] [PubMed] [Google Scholar]
- 3.Bia MJ, Ramos EL, Danovitch GM, Gaston RS, Harmon WE, Leichtman AB, Lundin PA, Neylan J, Kasiske BL: Evaluation of living renal donors. The current practice of US transplant centers. Transplantation 60: 322–327, 1995 [DOI] [PubMed] [Google Scholar]
- 4.Matas AJ, Bartlett ST, Leichtman AB, Delmonico FL: Morbidity and mortality after living kidney donation, 1999-2001: Survey of United States transplant centers. Am J Transplant 3: 830–834, 2003 [PubMed] [Google Scholar]
- 5.Segev DL, Muzaale AD, Caffo BS, Mehta SH, Singer AL, Taranto SE, McBride MA, Montgomery RA: Perioperative mortality and long-term survival following live kidney donation. JAMA 303: 959–966, 2010 [DOI] [PubMed] [Google Scholar]
- 6.Najarian JS, Chavers BM, McHugh LE, Matas AJ: 20 years or more of follow-up of living kidney donors. Lancet 340: 807–810, 1992 [DOI] [PubMed] [Google Scholar]
- 7.Kasiske BL, Ma JZ, Louis TA, Swan SK: Long-term effects of reduced renal mass in humans. Kidney Int 48: 814–819, 1995 [DOI] [PubMed] [Google Scholar]
- 8.Fehrman-Ekholm I, Elinder CG, Stenbeck M, Tydén G, Groth CG: Kidney donors live longer. Transplantation 64: 976–978, 1997 [DOI] [PubMed] [Google Scholar]
- 9.Fehrman-Ekholm I, Dunér F, Brink B, Tydén G, Elinder CG: No evidence of accelerated loss of kidney function in living kidney donors: results from a cross-sectional follow-up. Transplantation 72: 444–449, 2001 [DOI] [PubMed] [Google Scholar]
- 10.Fehrman-Ekholm I, Nordén G, Lennerling A, Rizell M, Mjörnstedt L, Wramner L, Olausson M: Incidence of end-stage renal disease among live kidney donors. Transplantation 82: 1646–1648, 2006 [DOI] [PubMed] [Google Scholar]
- 11.Ibrahim HN, Foley R, Tan L, Rogers T, Bailey RF, Guo H, Gross CR, Matas AJ: Long-term consequences of kidney donation. N Engl J Med 360: 459–469, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Okamoto M, Akioka K, Nobori S, Ushigome H, Kozaki K, Kaihara S, Yoshimura N: Short- and long-term donor outcomes after kidney donation: Analysis of 601 cases over a 35-year period at Japanese single center. Transplantation 87: 419–423, 2009 [DOI] [PubMed] [Google Scholar]
- 13.Mjøen G, Reisaeter A, Hallan S, Line PD, Hartmann A, Midtvedt K, Foss A, Dahle DO, Holdaas H: Overall and cardiovascular mortality in Norwegian kidney donors compared to the background population. Nephrol Dial Transplant 27: 443–447, 2012 [DOI] [PubMed] [Google Scholar]
- 14.Fournier C, Pallet N, Cherqaoui Z, Pucheu S, Kreis H, Méjean A, Timsit MO, Landais P, Legendre C: Very long-term follow-up of living kidney donors. Transpl Int 25: 385–390, 2012 [DOI] [PubMed] [Google Scholar]
- 15.Dew MA, Jacobs CL: Psychosocial and socioeconomic issues facing the living kidney donor. Adv Chronic Kidney Dis 19: 237–243, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Rabin R: The reward for donating a kidney: No insurance. New York Times Well Blog. June 11, 2012. Available at: http://well.blogs.nytimes.com/2012/06/11/the-reward-for-donating-a-kidney-no-insurance/ Accessed June 11, 2012
- 17.Yang RC, Thiessen-Philbrook H, Klarenbach S, Vlaicu S, Garg AX, Donor Nephrectomy Outcomes Research (DONOR) Network : Insurability of living organ donors: A systematic review. Am J Transplant 7: 1542–1551, 2007 [DOI] [PubMed] [Google Scholar]
- 18.Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351: 1296–1305, 2004 [DOI] [PubMed] [Google Scholar]
- 19.Matsushita K, van der Velde M, Astor BC, Woodward M, Levey AS, de Jong PE, Coresh J, Gansevoort RT, Chronic Kidney Disease Prognosis Consortium : Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: A collaborative meta-analysis. Lancet 375: 2073–2081, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Gansevoort RT, Matsushita K, van der Velde M, Astor BC, Woodward M, Levey AS, de Jong PE, Coresh J, Chronic Kidney Disease Prognosis Consortium : Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts. Kidney Int 80: 93–104, 2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Astor BC, Matsushita K, Gansevoort RT, van der Velde M, Woodward M, Levey AS, Jong PE, Coresh J, Astor BC, Matsushita K, Gansevoort RT, van der Velde M, Woodward M, Levey AS, de Jong PE, Coresh J, El-Nahas M, Eckardt KU, Kasiske BL, Wright J, Appel L, Greene T, Levin A, Djurdjev O, Wheeler DC, Landray MJ, Townend JN, Emberson J, Clark LE, Macleod A, Marks A, Ali T, Fluck N, Prescott G, Smith DH, Weinstein JR, Johnson ES, Thorp ML, Wetzels JF, Blankestijn PJ, van Zuilen AD, Menon V, Sarnak M, Beck G, Kronenberg F, Kollerits B, Froissart M, Stengel B, Metzger M, Remuzzi G, Ruggenenti P, Perna A, Heerspink HJ, Brenner B, de Zeeuw D, Rossing P, Parving HH, Auguste P, Veldhuis K, Wang Y, Camarata L, Thomas B, Manley T, Chronic Kidney Disease Prognosis Consortium : Lower estimated glomerular filtration rate and higher albuminuria are associated with mortality and end-stage renal disease. A collaborative meta-analysis of kidney disease population cohorts. Kidney Int 79: 1331–1340, 2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.National Kidney Foundation : K/DOQI clinical practice guidelines for chronic kidney disease: Evaluation, classification, and stratification. Am J Kidney Dis 39[Suppl 1]: S1–S266, 2002 [PubMed] [Google Scholar]
- 23.Levey AS, Eckardt KU, Tsukamoto Y, Levin A, Coresh J, Rossert J, De Zeeuw D, Hostetter TH, Lameire N, Eknoyan G: Definition and classification of chronic kidney disease: A position statement from Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int 67: 2089–2100, 2005 [DOI] [PubMed] [Google Scholar]
- 24.Levey AS, de Jong PE, Coresh J, El Nahas M, Astor BC, Matsushita K, Gansevoort RT, Kasiske BL, Eckardt KU: The definition, classification, and prognosis of chronic kidney disease: A KDIGO Controversies Conference report. Kidney Int 80: 17–28, 2011 [DOI] [PubMed] [Google Scholar]
- 25.Kidney Disease Improving Global Outcomes: KDIGO 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. Available at: http://www.kdigo.org/clinical_practice_guidelines/ckd.php Accessed March 12, 2013.
- 26.Glassock RJ, Winearls C: Screening for CKD with eGFR: Doubts and dangers. Clin J Am Soc Nephrol 3: 1563–1568, 2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.O’Hare AM, Bertenthal D, Covinsky KE, Landefeld CS, Sen S, Mehta K, Steinman MA, Borzecki A, Walter LC: Mortality risk stratification in chronic kidney disease: One size for all ages? J Am Soc Nephrol 17: 846–853, 2006 [DOI] [PubMed] [Google Scholar]
- 28.Fink HA, Ishani A, Taylor BC, Greer NL, MacDonald R, Rossini D, Sadiq S, Lankireddy S, Kane RL, Wilt TJ: Screening for, monitoring, and treatment of chronic kidney disease stages 1 to 3: A systematic review for the U.S. Preventive Services Task Force and for an American College of Physicians Clinical Practice Guideline. Ann Intern Med 156: 570–581, 2012 [DOI] [PubMed] [Google Scholar]
- 29.Bauer C, Melamed ML, Hostetter TH: Staging of chronic kidney disease: Time for a course correction. J Am Soc Nephrol 19: 844–846, 2008 [DOI] [PubMed] [Google Scholar]
- 30.Tonelli M, Muntner P, Lloyd A, Manns BJ, James MT, Klarenbach S, Quinn RR, Wiebe N, Hemmelgarn BR, Alberta Kidney Disease Network : Using proteinuria and estimated glomerular filtration rate to classify risk in patients with chronic kidney disease: A cohort study. Ann Intern Med 154: 12–21, 2011 [DOI] [PubMed] [Google Scholar]
- 31.Johnson KR: Strengths and weaknesses of renal markers as risk factors and surrogate markers. Kidney Int 79: 1272–1274, 2011 [DOI] [PubMed] [Google Scholar]
- 32.Barri Y, Parker T, 3rd, Kaplan B, Glassock R: Primum non Nocere: Is chronic kidney disease staging appropriate in living kidney transplant donors? Am J Transplant 9: 657–660, 2009 [DOI] [PubMed] [Google Scholar]
- 33.White S, Leichtman A: Does reduced glomerular filtration rate equate to chronic kidney disease? BMJ 344: e1167, 2012 [DOI] [PubMed] [Google Scholar]
- 34.Wetzels JF, Kiemeney LA, Swinkels DW, Willems HL, den Heijer M: Age- and gender-specific reference values of estimated GFR in Caucasians: The Nijmegen Biomedical Study. Kidney Int 72: 632–637, 2007 [DOI] [PubMed] [Google Scholar]
- 35.Brantsma AH, Bakker SJ, Hillege HL, de Zeeuw D, de Jong PE, Gansevoort RT, PREVEND Study Group : Cardiovascular and renal outcome in subjects with K/DOQI stage 1-3 chronic kidney disease: The importance of urinary albumin excretion. Nephrol Dial Transplant 23: 3851–3858, 2008 [DOI] [PubMed] [Google Scholar]
- 36.Peralta CA, Shlipak MG, Judd S, Cushman M, McClellan W, Zakai NA, Safford MM, Zhang X, Muntner P, Warnock D: Detection of chronic kidney disease with creatinine, cystatin C, and urine albumin-to-creatinine ratio and association with progression to end-stage renal disease and mortality. JAMA 305: 1545–1552, 2011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Baudoin P, Provoost AP, Molenaar JC: Renal function up to 50 years after unilateral nephrectomy in childhood. Am J Kidney Dis 21: 603–611, 1993 [DOI] [PubMed] [Google Scholar]
- 38.Narkun-Burgess DM, Nolan CR, Norman JE, Page WF, Miller PL, Meyer TW: Forty-five year follow-up after uninephrectomy. Kidney Int 43: 1110–1115, 1993 [DOI] [PubMed] [Google Scholar]
- 39.Mandelbrot DA, Pavlakis M: Living donor practices in the United States. Adv Chronic Kidney Dis 19: 212–219, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Fehrman-Ekholm I, Kvarnström N, Söfteland JM, Lennerling A, Rizell M, Odén A, Simonsson T: Post-nephrectomy development of renal function in living kidney donors: A cross-sectional retrospective study. Nephrol Dial Transplant 26: 2377–2381, 2011 [DOI] [PubMed] [Google Scholar]
- 41.Garg AX, Muirhead N, Knoll G, Yang RC, Prasad GV, Thiessen-Philbrook H, Rosas-Arellano MP, Housawi A, Boudville N, Donor Nephrectomy Outcomes Research (DONOR) Network : Proteinuria and reduced kidney function in living kidney donors: A systematic review, meta-analysis, and meta-regression. Kidney Int 70: 1801–1810, 2006 [DOI] [PubMed] [Google Scholar]
- 42.Barri YM, Parker T, 3rd, Daoud Y, Glassock RJ: Definition of chronic kidney disease after uninephrectomy in living donors: What are the implications? Transplantation 90: 575–580, 2010 [DOI] [PubMed] [Google Scholar]
- 43.Wan RK, Spalding E, Winch D, Brown K, Geddes CC: Reduced kidney function in living kidney donors. Kidney Int 71: 1077–, author reply 1077., 2007 [DOI] [PubMed] [Google Scholar]
- 44.Kido R, Shibagaki Y, Iwadoh K, Nakajima I, Fuchinoue S, Fujita T, Teraoka S: Very low but stable glomerular filtration rate after living kidney donation: Is the concept of “chronic kidney disease” applicable to kidney donors? Clin Exp Nephrol 14: 356–362, 2010 [DOI] [PubMed] [Google Scholar]
- 45.Tent H, Rook M, Stevens LA, van Son WJ, van Pelt LJ, Hofker HS, Ploeg RJ, van der Heide JJ, Navis G: Renal function equations before and after living kidney donation: A within-individual comparison of performance at different levels of renal function. Clin J Am Soc Nephrol 5: 1960–1968, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Lee JH, Kim SC, Han DJ, Chang JW, Yang WS, Park SK, Lee SK, Park JS, Kim SB: Risk factors for MDRD-GFR of less than 60 mL/min per 1.73 m2 in former kidney donors. Nephrology (Carlton) 12: 600–606, 2007 [DOI] [PubMed] [Google Scholar]
- 47.Garg AX, Meirambayeva A, Huang A, Kim J, Prasad GV, Knoll G, Boudville N, Lok C, McFarlane P, Karpinski M, Storsley L, Klarenbach S, Lam N, Thomas SM, Dipchand C, Reese P, Doshi M, Gibney E, Taub K, Young A, Donor Nephrectomy Outcomes Research Network : Cardiovascular disease in kidney donors: matched cohort study. BMJ 344: e1203, 2012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Cherikh WS, Young CJ, Kramer BF, Taranto SE, Randall HB, Fan PY: Ethnic and gender related differences in the risk of end-stage renal disease after living kidney donation. Am J Transplant 11: 1650–1655, 2011 [DOI] [PubMed] [Google Scholar]
- 49.Lentine KL, Schnitzler MA, Xiao H, Saab G, Salvalaggio PR, Axelrod D, Davis CL, Abbott KC, Brennan DC: Racial variation in medical outcomes among living kidney donors. N Engl J Med 363: 724–732, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Leichtman A, Abecassis M, Barr M, Charlton M, Cohen D, Confer D, Cooper M, Danovitch G, Davis C, Delmonico F, Dew MA, Garvey C, Gaston R, Gill J, Gillespie B, Ibrahim H, Jacobs C, Kahn J, Kasiske B, Kim J, Lentine K, Manyalich M, Medina-Pestana J, Merion R, Moxey-Mims M, Odim J, Opelz G, Orlowski J, Rizvi A, Roberts J, Segev D, Sledge T, Steiner R, Taler S, Textor S, Thiel G, Waterman A, Williams E, Wolfe R, Wynn J, Matas AJ, Living Kidney Donor Follow-Up Conference Writing Group : Living kidney donor follow-up: State-of-the-art and future directions, conference summary and recommendations. Am J Transplant 11: 2561–2568, 2011 [DOI] [PubMed] [Google Scholar]
- 51.Steiner RW: ‘Normal for now’ or ‘at future risk’: A double standard for selecting young and older living kidney donors. Am J Transplant 10: 737–741, 2010 [DOI] [PubMed] [Google Scholar]
- 52.Textor SC, Taler SJ, Driscoll N, Larson TS, Gloor J, Griffin M, Cosio F, Schwab T, Prieto M, Nyberg S, Ishitani M, Stegall M: Blood pressure and renal function after kidney donation from hypertensive living donors. Transplantation 78: 276–282, 2004 [DOI] [PubMed] [Google Scholar]
- 53.Tent H, Sanders JS, Rook M, Hofker HS, Ploeg RJ, Navis G, van der Heide JJ: Effects of preexistent hypertension on blood pressure and residual renal function after donor nephrectomy. Transplantation 93: 412–417, 2012 [DOI] [PubMed] [Google Scholar]
- 54.Ibrahim HN, Kukla A, Cordner G, Bailey R, Gillingham K, Matas AJ: Diabetes after kidney donation. Am J Transplant 10: 331–337, 2010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Reisaeter AV, Røislien J, Henriksen T, Irgens LM, Hartmann A: Pregnancy and birth after kidney donation: the Norwegian experience. Am J Transplant 9: 820–824, 2009 [DOI] [PubMed] [Google Scholar]
- 56.Ibrahim HN, Akkina SK, Leister E, Gillingham K, Cordner G, Guo H, Bailey R, Rogers T, Matas AJ: Pregnancy outcomes after kidney donation. Am J Transplant 9: 825–834, 2009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Young A, Hodsman AB, Boudville N, Geddes C, Gill J, Goltzman D, Jassal SV, Klarenbach S, Knoll G, Muirhead N, Prasad GV, Treleaven D, Garg AX, Donor Nephrectomy Outcomes Research (DONOR) Network : Bone and mineral metabolism and fibroblast growth factor 23 levels after kidney donation. Am J Kidney Dis 59: 761–769, 2012 [DOI] [PubMed] [Google Scholar]
- 58.Garg AX, Pouget J, Young A, Huang A, Boudville N, Hodsman A, Adachi JD, Leslie WD, Cadarette SM, Lok CE, Monroy-Cuadros M, Prasad GV, Thomas SM, Naylor K, Treleavan D, Donor Nephrectomy Outcomes Research (DONOR) Network : Fracture risk in living kidney donors: A matched cohort study. Am J Kidney Dis 59: 770–776, 2012 [DOI] [PubMed] [Google Scholar]
- 59.Doshi MD, Goggins MO, Li L, Garg AX: Medical outcomes in African American live kidney donors: A matched cohort study. Am J Transplant 13: 111–118, 2013 [DOI] [PubMed] [Google Scholar]
- 60.Storsley LJ, Young A, Rush DN, Nickerson PW, Ho J, Suon V, Karpinski M: Long-term medical outcomes among Aboriginal living kidney donors. Transplantation 90: 401–406, 2010 [DOI] [PubMed] [Google Scholar]
- 61.Gibney EM, Parikh CR, Garg AX: Age, gender, race, and associations with kidney failure following living kidney donation. Transplant Proc 40: 1337–1340, 2008 [DOI] [PubMed] [Google Scholar]