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.

[This corrects the article DOI: 10.1016/j.lana.2024.100895.].

RATIONALE & OBJECTIVE/OBJECTIVE:Despite national efforts, the uptake of home dialysis (peritoneal dialysis or home hemodialysis) remains low. Characteristics of the built environment may differentially impact home dialysis use. STUDY DESIGN/METHODS:Retrospective cohort study (2010-2019). SETTING & PARTICIPANTS/METHODS:1,103,695 adults (aged≥18 years) initiating dialysis in the US Renal Data System. EXPOSURE/METHODS:We examined 3 built environment domains based on residential ZIP code: (1) medically underserved areas (MUAs), defined as neighborhoods with limited primary care access; (2) distance to the nearest dialysis facility; and (3) distribution of housing characteristics (structure and overcrowding). OUTCOME/RESULTS:Uptake of home dialysis modalities at dialysis initiation. ANALYTICAL APPROACH/METHODS:We quantified associations between built environment characteristics and home dialysis initiation using multilevel logistic regression stratified by urbanicity type (urban, suburban, small-town, and rural). RESULTS:Among adults initiating dialysis, 40.8% lived in MUAs. Across ZIP codes, the mean percentage of overcrowded housing was 4.2% (SD, 4.7%), and the percentage of detached housing was 61.1% (SD, 21.1%); mean distance to the nearest dialysis facility was 5.5km (SD, 9.1km). Living in MUAs was associated with reduced home dialysis use only in urban (OR, 0.94; 95% CI, 0.91-0.96) and suburban (OR, 0.92; 95% CI, 0.89-0.94) areas. Similarly, housing overcrowding was associated with decreased home dialysis use only in urban (OR, 0.88; 95% CI, 0.86-0.89) and suburban (OR, 0.91; 95% CI, 0.90-0.93) areas. Longer distance to a dialysis facility was the most salient neighborhood factor associated with increased home dialysis use in small towns (OR, 1.14; 95% CI, 1.12-1.16) and rural areas (OR, 1.17; 95% CI, 1.15-1.19). LIMITATIONS/CONCLUSIONS:Housing characteristics were measured at the ZIP code level. CONCLUSIONS:Built environment characteristics associated with home dialysis uptake vary by urbanicity. Policies should address built environment barriers that are specific to urbanicity level. For example, increasing the frequency of dialysate delivery schedules could address housing space constraints in urban and suburban areas, and promoting home dialysis might be more effective for patients living far from dialysis centers in small-town and rural areas.

Transplantation of kidneys from donors with HIV to recipients with HIV (HIV D+/R+) has been shown to be safe and effective, but there is a unique risk of donor-derived HIV-superinfection (HIV-SI) in these recipients. Recipients from a multicenter observational HIV D+/R+ study were examined for HIV-SI using site-directed next-generation sequencing (Illumina). Eighteen HIV D+/R+ kidney transplant recipients had both baseline and follow-up samples that successfully amplified. One recipient was confirmed to have experienced donor-derived HIV-SI at week 26, but did not experience any clinically significant changes. HIV-SI in HIV D+/R+ transplant recipients is rare, and the clinical ramifications appear negligible.

The benefits of bilateral lung transplantation (BLT) versus single lung transplantation (SLT) are still debated. One impediment to clinical recommendations is that BLT vs. SLT advantages may vary based on underlying disease. Since both options are clinically tenable in patients with emphysema, we conducted a comprehensive assessment of lung allograft survival in this population. Using U.S. registry data, we studied time to all-cause allograft failure in 8,092 patients 12 years or older transplanted from 2006 to 2022, adjusting for recipient, donor, and transplant factors by inverse propensity weighting. Median allograft survival was 6.6 years in BLT compared to 5.3 years in SLT, a 25% risk-adjusted survival advantage of _0.81.3_1.8 years. Risk-adjusted bilateral survival advantages varied between 0.9 and 2.4 years across eleven subgroups. Median allograft survival in BLT was 1.2 years greater than right SLT and 2.0 years greater than left SLT. During the 16-year study period, allograft survival steadily improved for BLT but not for SLT. Although the 25% BLT survival advantage pre-dated the pandemic, COVID-19 may have contributed to an apparent SLT survival decline. Recognizing the possible influence of residual confounding due to selection biases, these findings may aid offer decision-making when both donor lungs are available.

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.