The Independent Effects of Kidney Length and Vascular Plaque on Ten-Year Outcomes of Extended Criteria Donor Kidney Transplants.

The independent effects of deceased donor kidney length and vascular plaque on long-term graft survival are not established. Utilizing DonorNet attachments from 4,480 expanded criteria donors (ECD) recovered between 2008 and 2012 in the United States with at least one kidney biopsied and transplanted, we analyzed the relationship between kidney length and vascular plaques and 10-year hazard of all-cause graft failure (ACGF) using causal inference methods in a Cox regression framework. The composite plaque score (range 0-4) and the presence of any plaque (yes, no) was also analyzed. Kidney length was modeled both categorically (<10, 10-12, >12 cm) as well as numerically, using a restricted cubic spline to capture nonlinearity. Effects of a novel composite plaque score 4 vs. 0 (HR 1.08; 95% CI: 0.96, 1.23) and the presence of any vascular plaque (HR 1.08; 95% CI: 0.98, 1.20) were attenuated after adjustment. Likewise, we identified a potential nonlinear relationship between kidney length and the 10-year hazard of ACGF, however the strength of the relationship was attenuated after adjusting for other donor factors. The independent effects of vascular plaque and kidney length on long-term ECD graft survival were found to be minimal and should not play a significant role in utilization.

The Independent Effects of Procurement Biopsy Findings on 10-Year Outcomes of Extended Criteria Donor Kidney Transplants.

Introduction: The role of procurement biopsies in deceased donor kidney evaluation is debated in light of uncertainty about the influence of biopsy findings on recipient outcomes. The literature is filled with conflicting and ambiguous findings typically derived from small studies focused on short-term outcomes or reliant on biopsies prepared by methods impractical in the time-sensitive context of organ procurement. Methods: After manual data entry of DonorNet attachments from 4480 extended criteria donors (ECDs) recovered in the United States from 2008 to 2012, we applied causal inference methods in a Cox regression framework to estimate independent effects of glomerulosclerosis (GS), interstitial fibrosis, and vascular changes on long-term kidney graft survival. Kidney discard rates from 2018 to 2019 were evaluated to characterize contemporary kidney utilization patterns. Results: Effects of interstitial fibrosis and vascular changes were largely attenuated after adjusting for potentially confounding donor and recipient variables, although conclusions are less certain for severe levels due to smaller sample sizes. By contrast, significant effects of GS (>10% vs. 0%-5%) persisted even after adjustment (all-cause, hazard ratio [HR] 1.18; 95% CI 1.06, 1.28; death-censored, HR 1.28; 95% CI 1.08, 1.46) but plateaued beyond 10%. By contrast, kidney discard rates increased precipitously as GS rose >10%. Conclusion: Despite being obtained under less than ideal conditions, estimated GS from a procurement biopsy is independently associated with long-term graft survival, above and beyond standard clinical parameters, in ECD transplants. However, the disproportionately high likelihood of discard for kidneys with GS >10% is unjustified. The outsized effect of GS on kidney utilization should be tempered and commensurate with its effect on outcomes.

Can Behavioral Research Improve Transplant Decision-Making? A Mock Offer Study on the Role of Kidney Procurement Biopsies.

Background: The use of procurement biopsies for assessing kidney quality has been implicated as a driver of the nearly 20% kidney discard rate in the United States. Yet in some contexts, biopsies may boost clinical confidence, enabling acceptance of kidneys that would otherwise be discarded. We leveraged a novel organ offer simulation platform to conduct a controlled experiment isolating biopsy effects on offer acceptance decisions. Methods: Between November 26 and December 14, 2018, 41 kidney transplant surgeons and 27 transplant nephrologists each received the same 20 hypothetical kidney offers using a crossover design with weekend "washout" periods. Mini-study 1 included four, low serum creatinine (<1.5 mg/dl) donor offers with arguably "poor" biopsy findings that were based on real offers that were accepted with successful 3-year recipient outcome. For each of the four offers, two experimental variants-no biopsy and "good" biopsy-were also sent. Mini-study 2 included four AKI offers with no biopsy, each having an offer variant with "good" biopsy findings. Results: Among low serum creatinine donor offers, we found approximately threefold higher odds of acceptance when arguably poor biopsy findings were hidden or replaced with good biopsy findings. Among AKI donor offers, we found nearly fourfold higher odds of acceptance with good biopsy findings compared with no biopsy. Biopsy information had profound but variable effects on decision making: more participants appeared to have been influenced by biopsies to rule out, versus rule in, transplantable kidneys. Conclusions: The current use of biopsies in the United States appears skewed toward inducing kidney discard. Several areas for improvement, including reducing variation in offer acceptance decisions and more accurate interpretation of findings, have the potential to make better use of scarce, donated organs. Offer simulation studies are a viable research tool for understanding decision making and identifying ways to improve the transplant system.

Can donor narratives yield insights? A natural language processing proof of concept to facilitate kidney allocation.

Although expedited placement could ameliorate stagnant kidney utilization, precisely identifying difficult-to-place organs is crucial to mitigate potential harms associated with this policy. Existing algorithms have only leveraged structured data from the Organ Procurement and Transplantation Network (OPTN); however, detailed, free text case information about a donor exists. No known research exists about the utility of these data. We developed a model to predict the probability of delay or discard for adult deceased kidney donors between 2010 and 2018, leveraging donor free text data. The resultant model had a c-statistic of 0.75 compared to 0.80 ( Reduced Probability of Delay or Discard [model], r-PODD) and 0.77 ( Kidney Donor Profile Index, KDPI) on the test dataset. Analysis of the top predictive words suggest both known and potentially novel clinical factors (ie, a known factor such as hypertension vs a novel factor such as stents), and nuanced social factors (intravenous drug use) could negatively affect kidney utilization. These findings suggest that donor narratives have utility; the natural language processing (NLP) model is only moderately correlated with existing indices and provides directional evidence about additional cardiovascular risk factors that may affect kidney utilization. More research is needed to understand the potential to enhance existing indices of kidney utilization to better enable and mitigate the effects of policy interventions such as expedited placement.