Faculty Bibliography

Development of end-stage renal disease (ESRD) in living kidney donors is associated with increased graft loss in the recipients of their kidneys. Our goal was to investigate if this relationship was reflected at an earlier stage postdonation, possibly early enough for recipient risk prediction based on donor response to nephrectomy. Using national registry data, we studied 29 464 recipients and their donors from 2008-2016 to determine the association between donor 6-month postnephrectomy estimated GFR (eGFR) and recipient death-censored graft failure (DCGF). We explored donor BMI as an effect modifier, given the association between obesity and hyperfiltration. On average, risk of DCGF increased with each 10 mL/min decrement in postdonation eGFR (adjusted hazard ratio [aHR] 1.06, 95% confidence interval [CI] 1.02-1.10, P = .007). The association was attenuated with higher donor BMI (interaction P = .049): recipients from donors with BMI = 20 (aHR 1.12, 95% CI 1.04-1.19, P = .002) and BMI = 25 (aHR 1.07, 95% CI 1.03-1.12, P = .001) had a higher risk of DCGF with each 10 mL/min decrement in postdonation eGFR, whereas recipients from donors with BMI = 30 and BMI = 35 did not have a higher risk. The relationship between postdonation eGFR, donor BMI, and recipient graft loss can inform counseling and management of living donor kidney transplant recipients.

BACKGROUND AND OBJECTIVES:Older patients with ESKD experience rapid declines in executive function after initiating hemodialysis; these impairments might lead to high rates of dementia and Alzheimer's disease in this population. We estimated incidence, risk factors, and sequelae of diagnosis with dementia and Alzheimer's disease among older patients with ESKD initiating hemodialysis. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS:We studied 356,668 older (age ≥66 years old) patients on hemodialysis (January 1, 2001 to December 31, 2013) from national registry data (US Renal Data System) linked to Medicare. We estimated the risk (cumulative incidence) of diagnosis of dementia and Alzheimer's disease and studied factors associated with these disorders using competing risks models to account for death, change in dialysis modality, and kidney transplant. We estimated the risk of subsequent mortality using Cox proportional hazards models. RESULTS:The 1- and 5-year risks of diagnosed dementia accounting for competing risks were 4.6% and 16% for women, respectively, and 3.7% and 13% for men, respectively. The corresponding Alzheimer's disease diagnosis risks were 0.6% and 2.6% for women, respectively, and 0.4% and 2.0% for men, respectively. The strongest independent risk factors for diagnosis of dementia and Alzheimer's disease were age ≥86 years old (dementia: hazard ratio, 2.11; 95% confidence interval, 2.04 to 2.18; Alzheimer's disease: hazard ratio, 2.11; 95% confidence interval, 1.97 to 2.25), black race (dementia: hazard ratio, 1.70; 95% confidence interval, 1.67 to 1.73; Alzheimer's disease: hazard ratio, 1.78; 95% confidence interval, 1.71 to 1.85), women (dementia: hazard ratio, 1.10; 95% confidence interval, 1.08 to 1.12; Alzheimer's disease: hazard ratio, 1.12; 95% confidence interval, 1.08 to 1.16), and institutionalization (dementia: hazard ratio, 1.36; 95% confidence interval, 1.33 to 1.39; Alzheimer's disease: hazard ratio, 1.10; 95% confidence interval, 1.05 to 1.15). Older patients on hemodialysis with a diagnosis of dementia were at 2.14-fold (95% confidence interval, 2.07 to 2.22) higher risk of subsequent mortality; those with a diagnosis of Alzheimer's disease were at 2.01-fold (95% confidence interval, 1.89 to 2.15) higher mortality risk. CONCLUSIONS:Older patients on hemodialysis are at substantial risk of diagnosis with dementia and Alzheimer's disease, and carrying these diagnoses is associated with a twofold higher mortality.

With new practice guidelines, it is important to understand how liver transplant (LT) centers have incorporated direct-acting antivirals (DAAs) into the management of hepatitis C virus-infected (HCV+) candidates and recipients. To explore how DAAs have affected LT centers' willingness to treat HCV+ candidates and recipients and to use HCV+ donors, we surveyed high volume US LT centers (11/2014-12/2015) regarding practices for HCV+ candidates, recipients, and donors, before vs after DAAs. We used the Scientific Registry of Transplant Recipients to compare centers' number of LTs, HCV+ recipients, and HCV+ donors in the years before (1/1/2012-12/31/2013) and after (1/1/2016-12/31/2017) survey administration. Of 80 centers contacted, 57 (71.3%) responded, representing 69.0% of the total volume of LTs in 2013. After DAAs, most centers increased treating candidates with low (≤15) model for end-stage liver disease (MELD) (85.2%), intermediate/high (>15) MELD (92.6%), and hepatocellular carcinoma (79.6%). There was consensus to treat low MELD candidates (90.8% "most of the time/always"), but less certainty for intermediate/high MELD candidates (48.2% "sometimes"). Universal post-LT HCV treatment increased (7.4% vs 57.4%). After DAAs, 42.6% were more willing to use HCV+ donors for HCV+ candidates, and 38.9% were willing to consider using HCV+ donors for HCV- candidates. Overall, with DAAs, centers were more willing to treat HCV+ candidates and recipients and to use HCV+ donors; recent recommendations may help to guide treatment decisions for intermediate/high MELD candidates.

Depressive symptoms and frailty are each independently associated with morbidity and mortality in kidney transplant (KT) recipients. We hypothesized that having both depressive symptoms and frailty would be synergistic and worse than the independent effect of each. In a multicenter cohort study of 773 KT recipients, we measured the Fried frailty phenotype and the modified 18-question Center for Epidemiologic Studies-Depression Scale (CES-D). Using adjusted Poisson regression and survival analysis, we tested whether depressive symptoms (CES-D score > 14) and frailty were associated with KT length of stay (LOS), death-censored graft failure (DCGF), and mortality. At KT admission, 10.0% of patients exhibited depressive symptoms, 16.3% were frail, and 3.6% had both. Recipients with depressive symptoms were more likely to be frail (aOR = 3.97, 95% CI: 2.28-6.91, P < 0.001). Recipients with both depressive symptoms and frailty had a 1.88 times (95% CI: 1.70-2.08, P < 0.001) longer LOS, 6.20-fold (95% CI:1.67-22.95, P < 0.01) increased risk of DCGF, and 2.62-fold (95% CI:1.03-6.70, P = 0.04) increased risk of mortality, compared to those who were nonfrail and without depressive symptoms. There was only evidence of synergistic effect of frailty and depressive symptoms on length of stay (P for interaction < 0.001). Interventions aimed at reducing pre-KT depressive symptoms and frailty should be explored for their impact on post-KT outcomes.

PURPOSE OF REVIEW:Due to the organ shortage, which prevents over 90 000 individuals in the United States from receiving life-saving transplants, the transplant community has begun to critically reevaluate whether organ sources that were previously considered too risky provide a survival benefit to waitlist candidates. RECENT FINDINGS:Organs that many providers were previously unwilling to use for transplantation, including kidneys with a high Kidney Donor Profile Index or from increased risk donors who have risk factors for window period hepatitis C virus (HCV) and HIV infection, have been shown to provide a survival benefit to transplant waitlist candidates compared with remaining on dialysis. The development of direct-acting antivirals to cure HCV infection has enabled prospective trials on the transplantation of organs from HCV-infected donors into HCV-negative recipients, with promising preliminary results. Changes in legislation through the HIV Organ Policy Equity Act have legalized transplantations from HIV-positive deceased donors to HIV-positive recipients for the first time in the United States. SUMMARY:Critical reexamination of deceased donor organs that were previously discarded has resulted in greater utilization of these organs, an increased number of deceased donor transplants, and the provision of life-saving treatment to more transplant waitlist candidates.

BACKGROUND:Health-related quality of life (HRQOL) reflects a patient's perceived disease burden, treatment effectiveness, and health status. Given the time burden and physiologic effects of hemodialysis, patients who spend dialysis time (9-15 h/week) physically or intellectually engaged may have better HRQOL. We characterized the intradialytic activities and explored their association with HRQOL. METHODS:In a cross-sectional study of 431 hemodialysis patients, we ascertained kidney-disease-specific quality of life, measured frailty, and surveyed participants about their usual active intradialytic activities (reading, playing games, doing puzzles, chatting, or other) and passive intradialytic activities (watching TV or sleeping). We used adjusted ordered logistic regression to identify correlates of the activity index (the sum of active intradialytic activities) and adjusted linear regression to quantify the association between the activity index and physical-, mental-, and kidney-disease-specific HRQOL. RESULTS:The 2 most common intradialytic activities were passive activities (watching TV = 87.9%; sleeping = 72.4%). Participants who were female (aOR 1.85, 95% CI 1.28-2.66; p = 0.001), nonfrail (aOR 1.70, 95% CI 1.06-2.70; p = 0.03), and nonsmokers (aOR 2.61, 95% CI 1.39-4.90; p = 0.003) had a higher intradialytic activity index after adjustment. Higher intradialytic activity index was associated with better mental- (0.83 points, 95% CI 0.04-1.62; p = 0.04) and kidney-disease-specific HRQOL (1.70 points, 95% CI 0.47-2.93; p = 0.007), but not physical HRQOL. CONCLUSIONS:Hemodialysis patients with more active intradialytic activities report better mental and kidney-disease-specific HRQOL. These results should be confirmed in a prospective study with a broader cohort of hemodialysis patients. Dialysis providers may consider offering patients with low levels of activity additional support and opportunities to engage in beneficial intradialytic activities.

BACKGROUND:Previous studies have reported a wide range of prevalence of post-donation anxiety, depression, and regret in living kidney donors (LKDs). It is also unclear what risk factors are associated with these outcomes. METHODS:We screened 825 LKDs for anxiety and depression using 2-item GAD-2 and PHQ-2 scales and asked about regret. RESULTS:Overall, 5.5% screened positive for anxiety, 4.2% for depression, and 2.1% reported regretting their donation. While there was moderate correlation between positive anxiety and depression screens (r = 0.52), there was no correlation between regret and positive screens (r < 0.1 for both). A positive anxiety screen was more likely in LKDs with a positive depression screen (adjusted relative risk [aRR] 13.72, 95% confidence interval [CI] 6.78-27.74, p < 0.001). Similarly, a positive depression screen was more likely in LKDs with a positive anxiety screen (aRR 19.50, 95% CI 6.94-54.81, p < 0.001), as well as in those whose recipients experienced graft loss (aRR 5.38, 95% CI 1.29-22.32, p = 0.02). Regret was more likely in LKDs with a positive anxiety screen (aRR 5.68, 95% CI 1.20-26.90, p = 0.03). This was a single center cross-sectional study which may limit generalizability and examination of causal effects. Also, due to the low prevalence of adverse psychosocial outcomes, we may lack power to detect some associations between donor characteristics and anxiety, depression, or regret. CONCLUSIONS:Although there is a low prevalence of anxiety, depression, and regret of donation among LKDs, these are interrelated conditions and a positive screen for one condition should prompt evaluation for other conditions.

BACKGROUND:Up to 31% of kidney transplant (KT) recipients experience early hospital readmission (EHR). We hypothesized that EHR among older KT recipients is higher than younger recipients due to increased comorbidities and higher prevalence of frailty. METHODS:We identified 22,458 older (age ≥65) and 86,372 younger (18 to < 65) first-time KT recipients (December 1, 1999 - December 31, 2014) using United States Renal Data System data. We estimated the association between patient-level characteristics and EHR (30 days post-KT discharge) with modified Poisson regression among older and younger KT recipients, separately. We estimated the association between graft loss and mortality and EHR using Cox proportional hazards. RESULTS:EHR was more common in older KT recipients (30.1 vs. 27.6%; p < 0.001). Risk factors for EHR that differed by recipient age included female sex, African American race, diabetes, smoking, dialysis vintage, donor age, and length of stay. Risk of graft loss associated with EHR was greater among older KT recipients (adjusted hazard ratio [aHR] 1.64, 95% CI 1.51-1.77, p < 0.001) than younger KT recipients (aHR 1.43, 95% CI 1.38-1.48, p < 0.001; interaction p < 0.01). However, the risk of mortality associated with EHR was greater among younger recipients (aHR 1.52, 95% CI 1.47-1.57, p < 0.001) than that in older -recipients (aHR 1.40, 95% CI 1.34-1.47, p < 0.001; interaction p < 0.01). CONCLUSIONS:Older KT recipients are more likely to experience EHR and are at a higher risk of graft loss after EHR than younger recipients. Targeted interventions to prevent EHR and subsequent graft loss in this population should be identified.

BACKGROUND:In 2013, the Organ Procurement and Transplantation Network began requiring transplant centers in the United States to collect and report postdonation living kidney donor follow-up data at 6 months, 1 year, and 2 years. Despite this requirement, <50% of transplant centers have been able to collect and report the required data. Previous work identified a number of barriers to living kidney donor follow-up, including logistical and administrative barriers for transplant centers and cost and functional barriers for donors. Novel smartphone-based mobile health (mHealth) technologies might reduce the burden of living kidney donor follow-up for centers and donors. However, the attitudes and perceptions toward the incorporation of mHealth into postdonation care among living kidney donors are unknown. Understanding donor attitudes and perceptions will be vital to the creation of a patient-oriented mHealth system to improve living donor follow-up in the United States. OBJECTIVE:The goal of this study was to assess living kidney donor attitudes and perceptions associated with the use of mHealth for follow-up. METHODS:We developed and administered a cross-sectional 14-question survey to 100 living kidney donors at our transplant center. All participants were part of an ongoing longitudinal study of long-term outcomes in living kidney donors. The survey included questions on smartphone use, current health maintenance behaviors, accessibility to health information, and attitudes toward using mHealth for living kidney donor follow-up. RESULTS:Of the 100 participants surveyed, 94 owned a smartphone (35 Android, 58 iPhone, 1 Blackberry), 37 had accessed their electronic medical record on their smartphone, and 38 had tracked their exercise and physical activity on their smartphone. While 77% (72/93) of participants who owned a smartphone and had asked a medical question in the last year placed the most trust with their doctors, nurses, or other health care professionals regarding answering a health-related question, 52% (48/93) most often accessed health information elsewhere. Overall, 79% (74/94) of smartphone-owning participants perceived accessing living kidney donor information and resources on their smartphone as useful. Additionally, 80% (75/94) perceived completing some living kidney donor follow-up via mHealth as useful. There were no significant differences in median age (60 vs 59 years; P=.65), median years since donation (10 vs 12 years; P=.45), gender (36/75, 36%, vs 37/75, 37%, male; P=.57), or race (70/75, 93%, vs 18/19, 95%, white; P=.34) between those who perceived mHealth as useful for living kidney donor follow-up and those who did not, respectively. CONCLUSIONS:Overall, smartphone ownership was high (94/100, 94.0%), and 79% (74/94) of surveyed smartphone-owning donors felt that it would be useful to complete their required follow-up with an mHealth tool, with no significant differences by age, sex, or race. These results suggest that patients would benefit from an mHealth tool to perform living donor follow-up.

OBJECTIVES:To explore trends in liver transplantation (LT) and outcomes for older recipients for evaluation, counseling, and appropriate referral of this vulnerable group of older adults. DESIGN:Prospective national cohort study. SETTING:Scientific Registry of Transplant Recipients (January 1, 2003-December 31, 2016). PARTICIPANTS:Older (aged ≥ 65) deceased donor liver-only transplant recipients (n=8,627). MEASUREMENTS:We evaluated temporal changes in recipient, donor, and transplant characteristics and post-LT length of stay (LOS), acute rejection, graft loss, and mortality using logistic regression and Cox proportional hazards. RESULTS:LT in older adults almost quadrupled, from 263 in 2003 (9.5% of total LTs that year) to 1,144 in 2016 (20.7% of total LTs). Recent recipients were more likely to be female and African American and have a higher body mass index and Model for End-Stage Liver Disease score. Hepatitis C, nonalcoholic steatohepatitis, and hepatocellular carcinoma were the most common indications for LT in recent recipients. Odds of LOS longer than 2 weeks decreased 34% from 2003-06 to 2013-16 (adjusted odds ratio (aOR)=0.66, 95% confidence interval (CI)=0.57-0.76, P < .001), 1-year acute rejection decreased 30% (aOR=0.70, 95% CI=0.56-0.88, P = .002), all-cause graft loss decreased 54% (adjusted hazard ratio (aHR)=0.46, 95% CI=0.40-0.52, P < .001), and mortality decreased 57% (aHR=0.43, 95% CI=0.38-0.49, P < .001). CONCLUSION:Despite the substantial increase in the number of older adults undergoing LT and the severity of their condition, LOS, rejection, graft loss, and mortality have significantly decreased over time. These trends can help guide appropriate LT referral and counseling in older adults with end-stage liver disease. J Am Geriatr Soc 66:2321-2326, 2018.