Faculty Bibliography

A recent study reported that kidney transplant recipients of offspring living donors had higher graft loss and mortality. This seemed counterintuitive, given the excellent HLA matching and younger age of offspring donors; we were concerned about residual confounding and other study design issues. We used Scientific Registry of Transplant Recipients data 2001-2016 to evaluate death-censored graft failure (DCGF) and mortality for recipients of offspring versus nonoffspring living donor kidneys, using Cox regression models with interaction terms. Recipients of offspring kidneys had lower DCGF than recipients of nonoffspring kidneys (15-year cumulative incidence 21.2% vs 26.1%, P < .001). This association remained after adjustment for recipient and transplant factors (adjusted hazard ratio [aHR] = _0.73 0.77_0.82 , P < .001), and was attenuated among African American donors (aHR _0.77 0.85_0.95 ; interaction: P = .01) and female recipients (aHR _0.77 0.84_0.91 , P < .001). Although offspring kidney recipients had higher mortality (15-year mortality 56.4% vs 37.2%, P < .001), this largely disappeared with adjustment for recipient age alone (aHR = _1.02 1.06_1.10 , P = .002) and was nonsignificant after further adjustment for other recipient characteristics (aHR = _0.93 0.97_1.01 , P = .1). Kidneys from offspring donors provided lower graft failure and comparable mortality. An otherwise eligible donor should not be dismissed because they are the offspring of the recipient, and we encourage continued individualized counseling for potential donors.

BACKGROUND:As transplant centers start leveraging Twitter for information dissemination and public engagement, it is important to understand current living solid organ donation-related Twitter use. METHODS:We identified public Twitter profiles available in 01/2017 that referenced living organ donation and analyzed the use of donation-related Twitter handles, names, or profile information. Tweets were manually abstracted and qualitatively analyzed for common themes. Social media influence of those tweeting about living donation was evaluated using Klout score. RESULTS:We identified 93 donors, 61 professionals, 12 hospitals, and 19 organizations that met eligibility criteria. Social media influence was similar across these groups (P = 0.4). Donors (16%) and organizations (23%) were more likely than professionals (7%) or hospitals (0%) to include transplant-related educational information in their profiles (P = 0.007). Living donation-related tweets were most commonly donation stories (33%), news reports (20%), reports about new transplant research (15%), and sharing transplant candidates' searches for donors (14%). CONCLUSIONS:This exploratory study of living donors and transplant professionals, hospitals, and organizations on Twitter provides insight into how the social media platform may be used to communicate about and disseminate information about living donation.

Prehabilitation is the process of enhancing preoperative functional capacity to improve tolerance for the upcoming stressor; it was associated with improved postoperative outcomes in a handful of studies, but never evaluated in transplantation. Kidney transplant (KT) candidates may be uniquely suited for prehabilitation because they experience a profound loss of functional capacity while waiting years on dialysis. To better understand the feasibility and effectiveness of prehabilitation in KT, we conducted a pilot study of center-based prehabilitation for candidates; this intervention consisted of weekly physical therapy sessions at an outpatient center with at-home exercises. We enrolled 24 participants; 18 participated in prehabilitation (75% of enrolled; 17% of eligible). 61% were male, 72% were African American, and mean age = 52 (SD = 12.9); 71% of participants had lower-extremity impairment, and 31% were frail. By 2 months of prehabilitation, participants improved their physical activity by 64% (P = 0.004) based on accelerometry. Participants reported high satisfaction. Among 5 prehabilitation participants who received KT during the study, length of stay was shorter than for age-, sex-, and race-matched control (5 vs 10 days; RR = 0.69; 95% CI:0.50-0.94; P = 0.02). These pilot study findings suggest that prehabilitation is feasible in pretransplant patients and may potentially be a strategy to improve post-KT outcomes.

BACKGROUND:Hemodialysis (HD) patients frequently experience pain. Previous studies of HD patients suggest increased opioid prescribing through 2010. It remains unclear if this trend continued after 2010 or declined with national trends. METHODS:Longitudinal cohort study of 484,745 HD patients in the United States Renal Data System/Medicare data. We used Poisson/negative binomial regression to estimate annual incidence rates of opioid prescribing between 2007 and 2014. We compared prescribing rates with the general US population using IQVIA's National Prescription Audit data. Outcomes included the following: percent of HD patients receiving an opioid prescription, rate of opioid prescriptions, quantity, days supply, morphine milligram equivalents (MME) dispensed per 100 person-days, and prescriptions per person. RESULTS:In 2007, 62.4% of HD patients received an opioid prescription. This increased to 63.2% in 2010 then declined to 53.7% by 2014. Opioid quantity peaked in 2011 at 73.5 pills per 100 person-days and declined to 62.6 pills per 100 person-days in 2014. MME peaked between 2010 and 2012 then declined through 2014. In 2014, MME rates were 1.8-fold higher among non-Hispanic patients and 1.6-fold higher among low-income patients. HD patients received 3.2-fold more opioid prescriptions per person compared to the general US population and were primarily prescribed oxycodone and hydrocodone. Between 2012 and 2014, HD patients experienced greater declines in opioid prescriptions per person (18.2%) compared to the general US population (7.1%). CONCLUSION:Opioid prescribing among HD patients declined between 2012 and 2014. However, HD patients continue receiving substantially more opioids than the general US population.

BACKGROUND:Kidney transplantation (KT) candidates often present with multiple comorbidities. These patients also have a substantial burden of frailty, which is also associated with increased mortality. However, it is unknown if frailty is merely a surrogate for comorbidity, itself an independent domain of risk, or if frailty and comorbidity have differential effects. Better understanding the interplay between these 2 constructs will improve clinical decision making in KT candidates. OBJECTIVE:To test whether comorbidity is equally associated with waitlist mortality among frail and nonfrail KT candidates and to test whether measuring both comorbidity burden and frailty improves mortality risk prediction. METHODS:We studied 2,086 candidates on the KT waitlist (November 2009 - October 2017) in a multicenter cohort study, in whom frailty and comorbidity were measured at evaluation. We quantified the association between Charlson comorbidity index (CCI) adapted for end-stage renal disease and waitlist mortality using an adjusted Cox proportional hazards model and tested whether this association differed between frail and nonfrail candidates. RESULTS:At evaluation, 18.1% of KT candidates were frail and 51% had a high comorbidity burden (CCI score ≥2). Candidates with a high comorbidity burden were at 1.38-fold (95% CI 1.01-1.89) increased risk of waitlist mortality. However, this association differed by frailty status (p for interaction = 0.01): among nonfrail candidates, a high comorbidity burden was associated with a 1.66-fold (95% CI 1.17-2.35) increased mortality risk; among frail candidates, here was no statistically significant association (HR 0.75, 95% CI 0.44-1.29). Adding this interaction between comorbidity and frailty to a mortality risk estimation model significantly improved prediction, increasing the c-statistic from 0.640 to 0.656 (p < 0.001). CONCLUSIONS:Nonfrail candidates with a high comorbidity burden at KT evaluation have an increased risk of waitlist mortality. Importantly, comorbidity is less of a concern in already high-risk patients who are frail.

End-stage liver disease (ESLD) is associated with cognitive impairment ranging from subtle alterations in attention to overt hepatic encephalopathy that resolves after transplant. Natural language processing (NLP) may provide a useful method to assess cognitive status in this population. We identified 81 liver transplant recipients with ESLD (4/2013-2/2018) who sent at least one patient-to-provider electronic message pre-transplant and post-transplant, and matched them 1:1 to "healthy" controls-who had similar disease, but had not been evaluated for liver transplant-by age, gender, race/ethnicity, and liver disease. Messages written by patients pre-transplant and post-transplant and controls was compared across 19 NLP measures using paired Wilcoxon signed-rank tests. While there was no difference overall in word length, patients with Model for End-Stage Liver Disease Score (MELD) ≥ 30 (n = 31) had decreased word length in pre-transplant messages (3.95 [interquartile range (IQR) 3.79, 4.14]) compared to post-transplant (4.13 [3.96, 4.28], p = 0.01) and controls (4.2 [4.0, 4.4], p = 0.01); there was no difference between post-transplant and controls (p = 0.4). Patients with MELD ≥ 30 had fewer 6+ letter words in pre-transplant messages (19.5% [16.4, 25.9] compared to post-transplant (23.4% [20.0, 26.7] p = 0.02) and controls (25.0% [19.2, 29.4]; p = 0.01). Overall, patients had increased sentence length pre-transplant (12.0 [9.8, 13.7]) compared to post-transplant (11.0 [9.2, 13.3]; p = 0.046); the same was seen for MELD ≥ 30 (12.3 [9.8, 13.7] pre-transplant vs. 10.8 [9.6, 13.0] post-transplant; p = 0.050). Application of NLP to patient-generated messages identified language differences-longer sentences with shorter words-that resolved after transplant. NLP may provide opportunities to detect cognitive impairment in ESLD.