Faculty Bibliography

BACKGROUND:Brazil has a large public transplant program, but it remains unclear if the kidney waitlist criteria effectively allocate organs. This study aimed to investigate whether gender, ethnicity, clinical characteristics, and Brazilian regions affect the chance of deceased donor kidney transplant (DDKT). METHODS:We conducted a retrospective cohort study using the National Transplant System/Brazil database, which included all patients on the kidney transplant waitlist from January 2012 to December 2022, followed until May 2023. The primary outcome assessed was the chance of DDKT, measured using subdistribution hazard and cause-specific hazard models (subdistribution hazard ratio [sHR]). RESULTS:We analyzed 118 617 waitlisted patients over a 10-year study period. Male patients had an sHR of 1.07 ([95% CI: 1.05-1.10], p < 0.001), indicating a higher chance of DDTK. Patients of mixed race and Yellow/Indigenous ethnicity had lower rates of receiving a transplant compared to Caucasian patients, with sHR of 0.97 (95% CI: 0.95-1) and 0.89 (95% CI: 0.95-1), respectively. Patients from the South region had the highest chance of DDKT, followed by those from the Midwest and Northeast, compared to patients from the Southeast, with sHR of 2.53 (95% CI: 2.47-2.61), 1.21 (95% CI: 1.16-1.27), and 1.10 (95% CI: 1.07-1.13), respectively. The North region had the lowest chance of DDTK, sHR of 0.29 (95% CI: 0.27-0.31). CONCLUSION/CONCLUSIONS:We found that women and racial minorities faced disadvantages in kidney transplantation. Additionally, we observed regional disparities, with the North region having the lowest chance of DDKT and longer times on dialysis before being waitlisted. In contrast, patients in the South regions had a chance of DDKT and shorter times on dialysis before being waitlisted. It is urgent to implement approaches to enhance transplant capacity in the North region and address race and gender disparities in transplantation.

INTRODUCTION:Thoracoabdominal normothermic regional perfusion (TA-NRP) following cardiac death is an emerging multivisceral organ procurement technique. Recent national studies on outcomes of presumptive TA-NRP-procured organs are limited by potential misclassification since TA-NRP is not differentiated from donation after cardiac death (DCD) in registry data. METHODS:We studied 22 donors whose designees consented to TA-NRP and organ procurement performed at our institution between January 20, 2020 and July 3, 2022. We identified these donors in SRTR to describe organ utilization and recipient outcomes and compared them to recipients of traditional DCD (tDCD) and donation after brain death (DBD) organs during the same timeframe. RESULTS:All 22 donors progressed to cardiac arrest and underwent TA-NRP followed by heart, lung, kidney, and/or liver procurement. Median donor age was 41 years, 55% had anoxic brain injury, 45% were hypertensive, 0% were diabetic, and median kidney donor profile index was 40%. TA-NRP utilization was high across all organ types (88%-100%), with a higher percentage of kidneys procured via TA-NRP compared to tDCD (88% vs. 72%, p = .02). Recipient and graft survival ranged from 89% to 100% and were comparable to tDCD and DBD recipients (p ≥ .2). Delayed graft function was lower for kidneys procured from TA-NRP compared to tDCD donors (27% vs. 44%, p = .045). CONCLUSION:Procurement from TA-NRP donors yielded high organ utilization, with outcomes comparable to tDCD and DBD recipients across organ types. Further large-scale study of TA-NRP donors, facilitated by its capture in the national registry, will be critical to fully understand its impact as an organ procurement technique.

BACKGROUND:Medical distrust may hinder kidney transplantation (KT) access. Among KT candidates evaluated for waitlisting, we identified factors associated with high distrust levels and quantified their association with waitlisting. METHODS:Among 812 candidates (2018-2023), we assessed distrust using the Revised Health Care System Distrust Scale across composite, competence, and values subscales. We used linear regression to quantify the associations between candidate and neighborhood-level factors and distrust scores. We used Cox models to quantify the associations between distrust scores and waitlisting. RESULTS:At KT evaluation, candidates who were aged 35-49 years (difference = 1.97, 95% CI: 0.78-3.16), female (difference = 1.10, 95% CI: 0.23-1.97), and Black (difference = 1.47, 95% CI: 0.47-2.47) were more likely to report higher composite distrust score. For subscales, candidates aged 35-49 were more likely to have higher competence distrust score (difference = 1.14, 95% CI: 0.59-1.68) and values distrust score (difference = 0.83, 95% CI: 0.05-1.61). Race/ethnicity (Black, difference = 1.42, 95% CI: 0.76-2.07; Hispanic, difference = 1.52, 95% CI: 0.35-2.69) was only associated with higher values distrust scores. Female candidates reporting higher rescaled values distrust scores (each one point) had a lower chance of waitlisting (aHR = 0.78, 95% CI: 0.63-0.98), whereas this association was not observed among males. Similarly, among non-White candidates, each 1-point increase in both rescaled composite (aHR = 0.87, 95% CI: 0.77-0.99) and values (aHR = 0.82, 95% CI: 0.68-0.99) distrust scores was associated with a lower chance of waitlisting, while there was no association among White candidates. CONCLUSION/CONCLUSIONS:Female, younger, and non-White candidates reported higher distrust scores. Values distrust may contribute to the long-standing racial/ethnic and gender disparities in access to KT. Implementing tailored strategies to reduce distrust in transplant care may improve KT access for groups that experience persistent disparities.

BACKGROUND:The prevalence and outcomes of COVID-19-associated invasive fungal infections (CAIFIs) in solid organ transplant recipients (SOTRs) remain poorly understood. METHODS:A retrospective cohort study of SOTRs with COVID-19 admitted to 5 hospitals within Johns Hopkins Medicine was performed between March 2020 and March 2022. Cox regression multilevel mixed-effects ordinal logistic regression was used. RESULTS:In the cohort of 276 SOTRs, 22 (8%) developed IFIs. The prevalence of CAIFIs was highest in lung transplant recipients (20%), followed by recipients of heart (2/28; 7.1%), liver (3/46; 6.5%), and kidney (7/149; 4.7%) transplants. In the overall cohort, only 42 of 276 SOTRs (15.2%) required mechanical ventilation; these included 11 of 22 SOTRs (50%) of the CAIFI group and 31 of 254 SOTRs (12.2%) of the no-CAIFI group. Compared with those without IFIs, SOTs with IFIs had worse outcomes and required more advanced life support (high-flow oxygen, vasopressor, and dialysis). SOTRs with CAIFIs had higher 1-y death-censored allograft failure (hazard ratio 1.6 5.1 16.4 , P  = 0.006) and 1-y mortality adjusting for oxygen requirement (adjusted hazard ratio 1.1 2.4 5.1 , P  < 0.001), compared with SOTRs without CAIFIs. CONCLUSIONS:The prevalence of CAIFIs in inpatient SOTRs with COVID-19 is substantial. Clinicians should be alert to the possibility of CAIFIs in SOTRs with COVID-19, particularly those requiring supplemental oxygen, regardless of their intubation status.

INTRODUCTION/BACKGROUND:Adults residing in deprived neighborhoods face various socioeconomic stressors, hindering their likelihood of receiving live-donor kidney transplantation (LDKT) and preemptive kidney transplantation (KT). We quantified the association between residential neighborhood deprivation index (NDI) and the likelihood of LDKT/preemptive KT, testing for a differential impact by race and ethnicity. METHODS:We studied 403 937 adults (age ≥ 18) KT candidates (national transplant registry; 2006-2021). NDI and its 10 components were averaged at the ZIP-code level. Cause-specific hazards models were used to quantify the adjusted hazard ratio (aHR) of LDKT and preemptive KT across tertiles of NDI and its 10 components. RESULTS:: LDKT < 0.001; Preemptive KT = 0.002). All deprivation components were associated with the likelihood of both LDKT and preemptive KT (except median home value): for example, higher median household income (LDKT: aHR = 1.08, 95% CI: 1.07-1.09; Preemptive KT: aHR = 1.10, 95% CI: 1.08-1.11) and educational attainments (≥high school [LDKT: aHR = 1.17, 95% CI: 1.15-1.18; Preemptive KT: aHR = 1.23, 95% CI: 1.21-1.25]). CONCLUSION/CONCLUSIONS:Residence in socioeconomically deprived neighborhoods is associated with a lower likelihood of LDKT and preemptive KT, differentially impacting minority candidates. Identifying and understanding which neighborhood-level socioeconomic status contributes to these racial disparities can be instrumental in tailoring interventions to achieve health equity in LDKT and preemptive KT.

BACKGROUND:The number of living kidney donors in the United States has declined since 2005, with variations based on the donor-recipient relationship. The reasons for this decline are unclear, and strategies to mitigate declined donations remain elusive. We examined the change in donor number monthly (within-year) versus annually (between-years) to inform potentially modifiable factors for future interventions. METHODS:In this registry-based cohort analysis of 141 759 living kidney donors between 1995 and 2019, we used linear mixed-effects models for donor number per month and year to analyze between-year and within-year variation in donation. We used Poisson regression to quantify the change in the number of donors per season before and after 2005, stratified by donor-recipient relationship and zip-code household income tertile. RESULTS:We observed a consistent summer surge in donations during June, July, and August. This surge was statistically significant for related donors (incidence rate ratio [IRR] range: 1.12-1.33) and unrelated donors (IRR range: 1.06-1.16) across donor income tertiles. CONCLUSION/CONCLUSIONS:Our findings indicate lower rates of living kidney donation in non-summer months across income tertiles. Interventions are needed to address barriers to donation in non-summer seasons and facilitate donations throughout the year. Since the Organ Donor Leave Law provides a solid foundation for supporting year-round donation, extending the law's provisions beyond federal employees may mitigate identified seasonal barriers.

OBJECTIVE:Incidence and manifestations of postacute sequelae of coronavirus disease 2019 (PASC) are poorly defined among immunosuppressed populations. We reported, phenotyped, and assessed risk factors for PASC in adults with systemic autoimmune diseases. METHODS:Persons aged ≥ 18 years with systemic autoimmune diseases were recruited into a national, prospective observational cohort of SARS-CoV-2 vaccination and infection between December 2020 and April 2021. Serial surveys assessed vaccination status, SARS-CoV-2 infection incidence, and disease flares. Participants reporting SARS-CoV-2 infection received a questionnaire assessing symptom duration, severity, and quality of life (QOL) effect; PASC was defined as ≥ 1 symptom persisting for > 12 weeks. PASC syndromes were mapped by overlapping symptom domains. Characteristics were compared between participants who did vs did not report PASC. RESULTS:= 0.004). CONCLUSION/CONCLUSIONS:In a large, real-world cohort, 29.8% of persons with systemic autoimmune disease reported PASC, often affecting QOL. Preceding vaccination may reduce PASC, whereas multiple infections may increase risk, supporting ongoing booster vaccine campaigns and efforts to limit breakthrough infections.

OBJECTIVES/OBJECTIVE:Obesogenic medications are a putative contributor to the obesity epidemic. While 20% of adults take ≥1 obesogenic medication, the proportion in the end-stage kidney disease (ESKD) population-a group enriched for cardiometabolic complications-is unknown. Obesogenic medications may contribute to obesity and hamper weight loss efforts to achieve transplant listing. METHODS:Using 2017-2020 USRDS and Medicare claims, patients were identified as taking obesogenic medications if prescribed anticonvulsants, antidepressants, antidiabetics, anti-inflammatories, antipsychotics, and/or antihypertensives known to cause weight gain for ≥30 days in their first hemodialysis year. Ordinal logistic and Cox regression with inverse probability of treatment weighting were used to quantify obesogenic medications' association with body mass index (BMI) and listing, respectively. RESULTS:Among 271 401 hemodialysis initiates, 63.5% took ≥1 obesogenic medication. For those in underweight, normal weight, overweight, and class I, II, and III categories, 54.3%, 58.4%, 63.1%, 66.5%, 68.6%, and 68.8% took ≥1, respectively. Number of obesogenic medications was associated with increased BMI; use of one was associated with 13% increased odds of higher BMI (aOR [adjusted odds ratio] 1.14; 95%CI: 1.13-1.16; p < 0.001), use of three was associated with a 55% increase (aOR 1.55; 95%CI: 1.53-1.57; p < 0.001). Any use was associated with 6% lower odds of transplant listing (aHR [adjusted hazard ratio] 0.94; 95%CI: 0.92-0.96; p < 0.001). Within each BMI category, obesogenic medication use was associated with lower listing likelihood. CONCLUSIONS:Obesogenic medication use is common in ESKD patients-particularly those with obesity-and is associated with lower listing likelihood. Whenever possible, non-obesogenic alternatives should be chosen for ESKD patients attempting weight loss to achieve transplant listing.