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Record W2970223457 · doi:10.4103/1319-2442.265482

Long-term health consequences of living kidney donation: From the perspective of donors

2019· letter· en· W2970223457 on OpenAlexaboutno aff
AkbarShoukat Ali, MuhammadTassaduq Khan, Rashid Bin Hamid

Bibliographic record

VenueSaudi Journal of Kidney Diseases and Transplantation · 2019
Typeletter
Languageen
FieldMedicine
TopicOrgan Donation and Transplantation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineKidney transplantationDialysisTransplantationPopulationDonationIntensive care medicineKidney donationOrgan donationKidneyKidney diseaseNephrectomyEnd stage renal diseaseDiseaseInternal medicineEnvironmental healthLaw

Abstract

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To the Editors, Kidney transplantation is the gold standard therapeutic modality for patients enduring end-stage renal disease (ESRD), especially from living kidney donors.[1] Living kidney donors establish the substantial part of available kidneys and drive kidney transplantation forward in this progressive economy.[2] However, the field of kidney transplantation confers enormous challenge to the transplantation team as it involves the interaction with the third-party, the deceased, or living organ donors. Regardless of the better substitute of dialysis for diseased population, the kidney transplantation is restrained by the paucity of available organs. Ironically, there is a huge mismatch between the number of renal failure cases and the number of kidneys available.[3] The role of living kidney donation in sustaining and improving lives of ESRD patients is indispensable. However, in the not-too-distant past, attention has been diverted toward the long-term safety of living kidney donation for donors. Unfortunately, the posttransplantation pathophysiologic sequelae of living kidney donation for donors are still under scrutiny. Lately, three published reports, which unearthed adverse consequences of living kidney donation among donors in contrast to non-donor population, have provoked a healthy discussion.[456] A research study by Muzaale et al followed 96,217 living kidney donors and 20,024 nondonors for ESRD outcome in US. The prognosticated likelihood of ESRD was calculated to be 30.8/10,000 patients postdonation and 3.9/10,000 patients in the nondonor population (P <0.001). Black donors were more vulnerable to develop ESRD. The estimated lifetime risk was significantly higher among living kidney donors than in general and nondonor healthy population.[4] Similarly, a longitudinal study in Norway by Mjøen et al compared the risk of developing kidney, cardiovascular diseases, and all-cause mortality in 1901 live kidney donors and 32,621 nondonors. The crude incidence of ESRD was 302 per million individual in live kidney donors, while 100 per million individual in population in general. The hazard ratios in this study were all-cause mortality (1.3), cardiovascular mortality (1.4), and ESRD (11.38) for living kidney donors. Interestingly, 80% of the living kidney donors were the first-degree relatives of the kidney transplant candidates. It was also reported that immunological causes (seven out of nine) account for most of the ESRD cases later in life among live kidney donors.[5] The findings presented in above two studies regarding risk of ESRD postkidney removal were quite similar, but the questions have been raised on the methodological design of the studies. Strikingly, the study estimates reflect relative risk instead of absolute risk which is of more clinical significance. Indeed, the absolute risk of ESRD was identified as fairly small in both the research studies (0.04% and 0.06%, respectively). A cohort study conducted by Garg et al in Canada retrospectively included 131 living kidney donor women and 788 healthy non-donor women. Frequency of gestational hypertension or preeclampsia was high among live donors compared to nondonors (11% vs. 5%, P = 0.01). No adverse consequences were reported among live donors with respect to maternal and neonatal outcomes.[6] O'Keeffe et al, likewise, recently published a meta-analysis, which reviewed 52 observational studies conducted over a period of last 50 years concluded that there is no relation between living kidney donation and elevated risk of all-cause mortality and chronic diseases such as cardiovascular diseases, diabetes, and psychosocial issues in living kidney donors compared with nondonor population.[7] On the contrary, a longitudinal follow-up study conducted in Pakistan by Rizvi et al demonstrated new-onset ESRD in 0.6% of living kidney donors.[2] The statement that living kidney donation harbors a very small risk for adverse health consequences was also confirmed by Hamid et al; however, they also suggested that the risk can be substantially reduced by meticulously selecting the donor and by providing good surgical management.[8] The primary worrying aspect in living kidney donation is that kidney removal results in extra overload being shifted toward the remaining kidney. A study done on rat model to elaborate the significance of phenomenon revealed that kidney removal (5/6) resulted in glomerular hypertension and a series of events including albuminuria and focal segmental glomerulo-sclerosis, culminating in kidney failure.[9] A prospective research study argued that the disease progression model of rat does not fit to donor kidney removal and that the remaining kidney encounters the physiological hyper-filtration, i.e., an increase in glomerular filtration rate (GFR). Hyperfiltration ensues as a result of hypertrophy and hyperperfusion without glomerular hypertension.[10] These findings have also been attested by two prospective follow-up studies. GFR improved in donors, expectedly, and controls were found to have an age-driven downturn in kidney function.[1112] With literature regarding the adverse outcomes among living kidney donors and explanation of physiological adaptation in glome-rular dynamics after kidney removal, it is still not suffice to comprehend the scenario of long-term risk of ESRD. It can be presumed that in the presence of “de novo” kidney disease, reduced renal reserve after kidney removal will lead to ESRD.[13] It is, therefore, mandatory to recognize prospective donor candidates at high risk of developing kidney diseases postliving kidney donation to ascertain long-term ESRD risk. At the time of donation, such donor candidates may present with characteristics such as young age, old age, genetically related, near-normal GFR, obesity, and hypertension. Interestingly, increased risk is more prevalent among young age group donors in spite of normal workup. They are perhaps the most difficult age group to identify later life risks of kidney diseases.[14] It is also imperative to understand that some risk factors are modifiable with healthy lifestyle behaviors, regular medical screening for kidney function, and by prompt treatment for new-onset risk factors such as albuminuria or hypertension. Importantly, patients need to be educated to the fullest so that risk associated with post-donation could be neutralized. Taken together, it can be concluded that living kidney donation is a safe practice. However, there is an inevitable risk associated with living kidney donation, 1 in 200 (0.5%), which is far more less than the general population.[15] Potential living donors must be well-informed of such risks before proceeding to transplantation. Living kidney donors have similar or even better overall survival, good quality of life, and no increase in risk of ESRD in comparison with general population. Vigilant donor evaluation, selection, and rigorous follow-up should be the plan of action while embarking on living kidney donation to ensure appropriate health status and avoid future disease events for prospective donors post-transplantation. Conflict of interest None declared.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.698
Threshold uncertainty score0.671

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.278
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
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