Faculty Bibliography

BACKGROUND:Organ Procurement and Transplantation Network (OPTN) policy requires 2 years of follow-up for living kidney donors (LKDs); however, many transplant hospitals struggle to meet this requirement. We developed and tested a mobile health (mHealth) system for LKD follow-up in a pilot randomized-controlled trial (RCT). METHODS:LKDs were randomly assigned to either the intervention (mHealth + standard of care) or control arm (standard of care). We assessed OPTN policy-defined completeness and timeliness of 6-month, 1-year, and 2-year follow-ups. Four hundred LKDs were enrolled in the study (June 2018 to February 2021). RESULTS:At 6-month follow-up, a higher proportion of the intervention arm participants completed composite visits (97.5% vs. 91.5%, p = 0.01). Both arms had similar compliance rates at 1- and 2-year follow-up (92.0% vs. 89.5%, p = 0.49, and 66.5% vs. 65.0%, p = 0.83). Intervention arm participants completed 6-month follow-up 11 days earlier than their counterparts (p = 0.009). CONCLUSION/CONCLUSIONS:mHealth technologies improved 6-month follow-up, but did not impact 1- and 2-year LKD follow-up in this single-center RCT. Other strategies, such as providing services beyond data collection, may be necessary to improve donor engagement and support LDK's long-term follow-up.

INTRODUCTION/BACKGROUND:Predicting graft failure risk in pediatric liver transplantation (LT) recipients could identify areas for improving management. Persistent cognitive, motor, academic, and functional deficits are common in recipients and their impact on graft survival following LT helps inform risk prediction. METHODS:Using SRTR data 2008-2023, we evaluated the cognitive, motor, academic, and functional deficits of LT recipients at time of transplant to 14 years post-LT. We compared all cause graft failure (ACGF) among patients with versus without pre-LT and 1-year post-LT deficits using Cox regression, adjusting for recipient characteristics. We calculated an individual risk score for ACGF. RESULTS:In 8062 pediatric LT recipients median age 3 (IQR: 1, 10), 28.0%, 29.5%, 35.0%, and 79.8% of recipients had pre-LT deficits in cognition, motor, academic activity, and functional status respectively. This decreased to 23.0%, 18.1%, 14.2%, and 38.7% 1-year post-LT. Increased hazard of ACGF was noted in recipients with pre-LT decreased functional status (aHR = 1.13 (per 10% decrease), 95% CI: 1.10-1.15, p < 0.001), definite motor delay (aHR = 1.60, 95% CI: 1.21-2.10, p < 0.001), and inability to participate in academics (aHR = 1.49, 95% CI: 1.08-1.89, p = 0.01), but not delays in cognition (aHR = 0.91, 95% CI: 0.69-1.21, p = 0.19). Our risk score predicting ACGF demonstrated improved predictive performance compared to clinical parameters alone (C-statistic = 0.70 (0.67, 0.72) vs. 0.66 (0.64, 0.69), p < 0.001). CONCLUSIONS:Pediatric LT recipients with pre- or post-LT motor, academic, and functional deficits are at higher risk for ACGF. Care should be taken to assess deficits to identify patients who may benefit from functional intervention to potentially reduce ACGF risk.

BACKGROUND:Due to high prevalence of Kaposi Sarcoma (KS)-Associated Herpesvirus (KSHV) among people with HIV, KSHV-associated disease (KAD) may be increased after kidney transplantation from donors with HIV (HIV D+) to recipients with HIV (HIV R+). METHODS:Anti-KSHV antibodies were measured in HIV R+ and donors with and without HIV (HIV D-) using a 30-antigen multiplex assay within three multicenter kidney transplantation studies. KSHV seropositivity was defined as reactivity to conventional KSHV antigens (≥1 ORF73 or K8.1); reactivity to expanded 5-antigen and 30-antigen panels were also reported. Risk factors were identified using modified Poisson regression. Recipients were monitored for post-transplant anti-KSHV antibody changes and KAD. RESULTS:KSHV seroprevalence was 40.6% (143/352) among HIV R+, 25.2% (33/131) among HIV D+, and 7.5% (4/53) among HIV D-. In the multivariable model, only men who have sex with men (MSM) was associated with KSHV seropositivity: relative risk 1.51 (95% confidence interval [CI] 1.07-2.14) in recipients and 2.39 (95%CI 1.03-5.53) in donors. Among 418 HIV R+ (215 HIV D+/R+, 203 HIV D-/R+), there were 5 KAD cases (incidence 0.63 cases/100 person-years, 95%CI 0.26-1.52): 3 skin-only KS, 1 multicentric Castleman disease, 1 allograft KS. The allograft KS occurred in a female HIV D+/R+ and was likely donor-derived. Remaining KAD cases occurred in male HIV D-/R+ and were likely recipient KSHV reactivation or acquisition. CONCLUSIONS:In the United States, KSHV seroprevalence in donors and recipients with HIV was high, particularly among MSM. Reassuringly, KSHV-associated disease was rare, and primarily attributed to recipient rather than donor-derived KSHV.

BACKGROUND:Renal dysfunction is common among liver transplant candidates and can resolve, persist, or develop de novo following liver transplantation (LT). In light of the 2017 policy changes to simultaneous liver-kidney transplant and the post-LT kidney transplant safety net eligibility, we evaluated risk factors for and change in the incidence of post-LT renal dysfunction. METHODS:Using SRTR data for adult deceased-donor liver-only transplant recipients 2010-2022, we evaluated secular trends in and risk factors for the development of post-LT ESRD at 1 year and overall using multivariable logistic and Cox regression. We compared observed versus expected incidence of ESRD at 1-year post-LT using weighting by odds. RESULTS:Among 77 565 LT recipients, 6032 (7.8%) developed ESRD during the study period, of whom 2354 (39.0%) developed ESRD within the first year after LT. In a multivariable model, diabetes (aOR 1.63, 95% CI 1.48-1.79, p < 0.001), pre-LT eGFR (aOR 0.97 per unit, 95% CI 0.97-0.97, p < 0.001), and MELD category remained independently associated with ESRD within 1-year post-LT. Odds of ESRD by 1 year post-LT were 47% higher than expected post-2017 after accounting for changes in donor and recipient characteristics. CONCLUSIONS:The rising 1-year post-LT ESRD risk highlights the need to reassess safety net eligibility beyond 1 year and prioritize counseling on risk minimization, including post-transplant diabetes management and potential adjustments to immunosuppression protocols to improve outcomes.

BACKGROUND:Parents of pediatric heart transplant (HTx) recipients have a unique perspective on the challenges associated with the transition into adult care networks. We sought to assess parental perceptions of the challenges pediatric HTx recipients face daily and parental concerns around the transition from pediatric care networks. METHODS:A 15-item online survey was developed in partnership with parent-stakeholders and administered to parents of pediatric HTx recipients in September 2023. Closed and open-ended questions assessed (1) the patients' diagnosis, age at diagnosis, and age at transplant, (2) parents' daily concerns about their child's well-being, (3) parents' overall concerns about their child's well-being as they transition into adulthood, (4) parents' perceptions of their child's quality-of-life (QoL) and health, and (5) parents' demographic characteristics. RESULTS:Eighty-six parents completed the survey. On a scale of 1 (worst) to 10 (best), 75% of parents rated their child's overall QoL at 8 or higher and 76% rated their child's health-related QoL at 8 or higher. Parents' daily concerns about their child's well-being included infectious diseases, health behaviors and care management, transplant-related concerns, socialization and education, mental health, and care coordination. Concerns related to the transition into adulthood included health behaviors and self-management, life satisfaction, finances, family, transplant-related concerns, and care coordination. CONCLUSIONS:Although parents of pediatric HTx recipients reported mostly positive QoL outcomes, they have concerns related to care management, life satisfaction, and healthcare access as their children transition into adulthood. Comprehensive transition-specific interventions and guidelines are needed to support families during this high-risk period.

INTRODUCTION/BACKGROUND:Obesity prevalence has dramatically increased; candidates with obesity have higher waitlist mortality and are less likely to undergo liver transplantation. The association of obesity with post-transplant mortality is inconsistent. MATERIALS AND METHODS/METHODS:. Risks of waitlist and post-transplant mortality were quantified using adjusted competing risks and Cox proportional hazards. RESULTS:Of 103,640 candidates and 58,692 recipients, candidates with higher obesity classes had higher listing MELD that increased over time. Candidates with class III obesity were listed and transplanted at higher MELD compared to candidates without obesity, class I and II obesity; nearly 40% of candidates with class III obesity had listing MELD≥30. From 2013-2017 to 2018-2023, waitlist mortality decreased 35% in candidates with class III obesity (SHR:0.65(0.58-0.73),p<0.001) and post-transplant mortality decreased 20% for recipients with class III obesity (HR:0.80(0.66-0.96),p=0.02). However, over time, post-transplant mortality differed by obesity class with no reduction in post-transplant mortality for recipients with class I or II obesity. CONCLUSION/CONCLUSIONS:Candidates and recipients with class III obesity are being listed and transplanted at higher MELD scores with improvement in outcomes over time. Although higher risk, temporal trends for LT in this population are favorable. Given the higher disease severity at listing for candidates with class III obesity, referral patterns for LT evaluation in these patients should be evaluated.

BACKGROUND:Donor pool expansion is critical as lung candidates suffer high mortality, yet older donor lungs remain underutilized. We evaluated whether accepting an older donor (defined 4 ways: donor age 30-39, 40-49, 50-59, or 60-69 y) lung transplant was associated with a survival benefit over waiting for a younger donor offer. METHODS:Adult candidates who received a lung offer were identified using Scientific Registry of Transplant Recipients data, 2015-2022. Offers were categorized by donor age and candidate lung allocation score (LAS; <40, 40-55, >55). Postoffer mortality was compared between candidates for whom the offer was accepted ("acceptors") versus declined ("decliners") within each age-LAS category using weighted Cox regression. RESULTS:A total of 21 426 candidates received an offer from a donor age ≥30 y; 11 679 accepted. For LAS >55 candidates, a survival benefit was observed for acceptors of donors ages 30-39 y (weighted hazard ratio [wHR] of mortality: 0.450.520.59), 40-49 y (wHR: 0.610.700.79), and 50-59 y (wHR: 0.670.770.88); P < 0.001. For candidates with LAS 40-55, results suggest a survival benefit of accepting lung offers from donors age 30-39 y (wHR: 0.770.870.99) and 40-49 y (wHR: 0.760.870.99); P = 0.03. However, for candidates with LAS <40, a survival benefit was not observed for accepting any older donor transplant, with possible harm in accepting an age 50+ donor offer. CONCLUSIONS:Compared with declining and waiting for a younger donor offer, accepting an older donor lung transplant was associated with a survival advantage in candidates with high LAS in the precontinuous distribution era. Decision makers should consider these findings while recognizing potential changes in waiting time dynamics in the current era.

Racial/ethnic disparities in the deceased organ donor referral process may contribute to the organ shortage and place minority communities at a greater disadvantage. Prior literature cites substantial inequalities, though methodological concerns may bias estimates. Using Organ Retrieval and Collection of Health Information for Donation data, we conducted a simulation study and re-analysis of 132,968 referrals 2015-2021 across six organ procurement organizations (OPOs). We excluded brain death declaration and cause/mechanism/circumstances of death from the approach model and conducted Poisson regression with robust standard errors. We found Black patients were approached at a more similar rate relative to White patients, although disparities remained (incidence rate ratio (IRR): _0.910.94_0.97). Black patients provided authorization at a 31% lower rate than White patients (IRR: _0.670.69_0.71). Slight disparities were observed at procurement (IRR: _0.940.96_0.99). Our findings are directionally similar to prior literature but suggest substantially less inequality (vs 23% and 65% higher risk of approach and authorization, for non-Black vs Black referrals). Accurate quantification of racial/ethnic disparities in transplantation impacts public perception of those involved, particularly OPOs, and is paramount to any study. Importantly, continued measures are needed to promote equality among Black and minority patients in our national organ donation and transplant system.

BACKGROUND:To encourage high-quality, reduced-cost care for total joint arthroplasty (TJA), the Centers of Medicare & Medicaid Services mandated a pay-for-performance model, the Comprehensive Care for Joint Replacement (CJR), as part of the Patient Protection and Affordable Care Act (PPACA). The CJR incentivizes cost containment, and it was anticipated that its implementation would reduce access to TJA for high-cost populations. Patients with end-stage kidney disease (ESKD) undergoing kidney replacement therapy (dialysis and kidney transplant) are costly compared with healthier patients, but it was unknown whether this population lost access to hip and knee replacement because of CJR implementation. This population allows study of whether TJA is accessible for medically complex patients whose risk of surgical complications has been mitigated, as kidney transplantation improves outcomes compared with dialysis, allowing evaluation as to whether access improved when patients crossed over from dialysis to transplantation. Because all patients with ESKD are included in a mandated national registry, we can quantify whether access changed for patients who underwent dialysis and transplantation. QUESTIONS/PURPOSES/OBJECTIVE:(1) How did the rate of TJA change amid the shift to bundled payments for patients with ESKD receiving dialysis? (2) How did the rate of TJA change amid the shift to bundled payments for patients with ESKD after kidney transplant? METHODS:This was an observational cohort study from 2008 to 2018 using the United States Renal Data System, a mandatory national registry that allows for the opportunity to study all individuals with ESKD. During the study period, we identified 1,324,614 adults undergoing routine dialysis and 187,212 adult kidney transplant recipients; after exclusion for non-Medicare primary insurance (n = 785,224 for dialysis and 78,011 for transplant), patients who were 100 years or older (n = 79 and 0, respectively), those who resided outside of 50 US states and Puerto Rico (n = 781 and 87, respectively), missing dialysis status for the dialysis cohort (n = 8658), and multiorgan transplant recipients for the transplant cohort (n = 2442), our study population was 40% (529,872) of patients who underwent routine dialysis and 57% (106,672) of adult kidney transplant recipients, respectively. TJA was ascertained using Medicare Severity Diagnosis Related Groups and ICD-9 and ICD-10 codes. We divided the study period by PPACA (January 1, 2014, to March 31, 2016) and CJR (April 1, 2016, to December 31, 2018) implementation and compared the incidence of TJA by era using mixed-effects Poisson regression adjusting for calendar time and clinical and demographic variables. RESULTS:After adjustment for linear temporal trend and patient case mix, there was no evidence of association between policy implementation and the incidence of TJA. In the dialysis cohort, the adjusted incidence rate ratio (IRR) for TJA was 1.06 (95% confidence interval [CI] 0.98 to 1.14; p = 0.2) comparing PPACA with the previous period and 1.02 (95% CI 0.96 to 1.08; p = 0.6) comparing CJR with the previous periods. Similarly, in the transplant cohort, the adjusted IRR for TJA was 0.82 (95% CI 0.67 to 1.02; p = 0.07) comparing PPACA with the previous period and 1.10 (95% CI 0.94 to 1.28; p = 0.9) comparing CJR with the previous periods. CONCLUSION/CONCLUSIONS:There was no loss in access to TJA for medically complex patients receiving kidney replacement therapy. The increase in TJA incidence for patients after kidney transplant and decrease for patients receiving dialysis suggest that surgeons continued to provide care for higher risk patients whose risk of morbidity or mortality with total joint replacement has been maximally improved after transplantation. LEVEL OF EVIDENCE/METHODS:Level III, prognostic study.