Faculty Bibliography

BACKGROUND:Gabapentinoids, commonly used for treating neuropathic pain, may be misused and coprescribed with opioid and benzodiazepine, increasing the risk of mortality and dependency among kidney transplant recipients. METHODS:We identified adult kidney transplant recipients who enrolled in Medicare Part D in 2006-2017 using the United States Renal Data System/Medicare claims database. We characterized recipients' post-transplant concomitant prescription of gabapentinoids, opioids, and benzodiazepine stratified by transplant year and recipient factors (age, sex, race, and diabetes). We investigated whether concomitant prescriptions were associated with postkidney transplant mortality using Cox regression. Models incorporated inverse probability weighting to adjust for confounders. RESULTS:Among 63,359 eligible recipients, 13% of recipients filled at least one gabapentinoid prescription within 1 year after kidney transplant. The prevalence of gabapentinoid prescriptions increased by 70% over the study period (16% in 2017 versus 10% in 2006). Compared with nonusers, gabapentinoids users were more likely to have diabetes (55% versus 37%) and obesity (46% versus 34%). Of the 8509 recipients with gabapentinoid prescriptions, 45% were coprescribed opioids, 7% were coprescribed benzodiazepines, and 3% were coprescribed both opioids and benzodiazepines. Compared with no study prescriptions, gabapentinoid monotherapy (adjusted hazard ratio [aHR]=1.25; 95% confidence interval [CI], 1.16 to 1.32) and combination therapy (gabapentinoids and opioids [aHR=1.49; 95% CI, 1.39 to 1.60], gabapentinoids and benzodiazepines [aHR=1.46; 95% CI, 1.03 to 2.08], and coprescribing all three [aHR=1.88; 95% CI, 1.18 to 2.98]) were all associated with a higher risk of postkidney transplant mortality. CONCLUSIONS:Gabapentinoid coprescription with both benzodiazepines and opioids among kidney transplant recipients increased over time. Kidney transplant recipients prescribed gabapentinoids had a higher risk of post-transplant mortality, and the risk was higher with opioids or benzodiazepine coprescription.

Recent changes to liver allocation replaced donor service areas with circles as the geographic unit of allocation. Circle-based allocation might increase the number of transplantation centers and candidates required to place a liver, thereby increasing the logistical burden of making and responding to offers on organ procurement organizations and transplantation centers. Circle-based allocation might also increase distribution time and cold ischemia time (CIT), particularly in densely populated areas of the country, thereby decreasing allocation efficiency. Using Scientific Registry of Transplant Recipient data from 2019 to 2021, we evaluated the number of transplantation centers and candidates required to place livers in the precircles and postcircles eras, nationally and by donor region. Compared with the precircles era, livers were offered to more candidates (5 vs. 9; p  < 0.001) and centers (3 vs. 5; p  < 0.001) before being accepted; more centers were involved in the match run by offer number 50 (9 vs. 14; p  < 0.001); CIT increased by 0.2 h (5.9 h vs. 6.1 h; p  < 0.001); and distribution time increased by 2.0 h (30.6 h vs. 32.6 h; p  < 0.001). Increased burden varied geographically by donor region; livers recovered in Region 9 were offered to many more candidates (4 vs. 12; p  < 0.001) and centers (3 vs. 8; p  < 0.001) before being accepted, resulting in the largest increase in CIT (5.4 h vs. 6.0 h; p  < 0.001). Circle-based allocation is associated with increased logistical burdens that are geographically heterogeneous. Continuous distribution systems will have to be carefully designed to avoid exacerbating this problem.

BACKGROUND:Postacute sequelae of SARS-CoV-2 infection (PASC) is an increasingly recognized phenomenon and manifested by long-lasting cognitive, mental, and physical symptoms beyond the acute infection period. We aimed to estimate the frequency of PASC symptoms in solid organ transplant (SOT) recipients and compared their frequency between those with SARS-CoV-2 infection requiring hospitalization and those who did not require hospitalization. METHODS:A survey consisting of 7 standardized questionnaires was administered to 111 SOT recipients with history of SARS-CoV-2 infection diagnosed >4 wk before survey administration. RESULTS:Median (interquartile range) time from SARS-CoV-2 diagnosis was 167 d (138-221). Hospitalization for SARS-CoV-2 infection was reported in 33 (30%) participants. Symptoms after the COVID episode were perceived as following: significant trauma (53%), cognitive decline (50%), fatigue (41%), depression (36%), breathing problems (35%), anxiety (23%), dysgeusia (22%), dysosmia (21%), and pain (19%). Hospitalized patients had poorer median scores in cognition (Quick Dementia Rating System survey score: 2.0 versus 0.5, P = 0.02), quality of life (Health-related Quality of Life survey: 2.0 versus 1.0, P = 0.015), physical health (Global physical health scale: 10.0 versus 11.0, P = 0.005), respiratory status (Breathlessness, Cough and Sputum Scale: 1.0 versus 0.0, P = 0.035), and pain (Pain score: 3 versus 0 out of 10, P = 0.003). Among patients with infection >6 mo prior, some symptoms were still present as following: abnormal breathing (42%), cough (40%), dysosmia (29%), and dysgeusia (34%). CONCLUSIONS:SOT recipients reported a high frequency of PASC symptoms. Multidisciplinary approach is needed to care for these patients beyond the acute phase.

BACKGROUND:Prior studies have demonstrated racial disparities in the severity of secondary hyperparathyroidism among dialysis patients. Our primary objective was to study the racial and socioeconomic differences in the timing and likelihood of parathyroidectomy in patients with secondary hyperparathyroidism. METHODS:We used the United States Renal Data System to identify 634,428 adult (age ≥18) patients who were on maintenance dialysis between 2006 and 2016 with Medicare as their primary payor. Adjusted multivariable Cox regression was performed to quantify the differences in parathyroidectomy by race. RESULTS:Of this cohort, 27.3% (173,267) were of Black race. Compared to 15.4% of White patients, 23.1% of Black patients lived in a neighborhood that was below a predefined poverty level (P < .001). The cumulative incidence of parathyroidectomy at 10 years after dialysis initiation was 8.8% among Black patients compared to 4.3% among White patients (P < .001). On univariable analysis, Black patients were more likely to undergo parathyroidectomy (adjusted hazard ratio = 1.83; 95% confidence interval, 1.74-1.93). This association persisted after adjusting for age, sex, cause of end-stage renal disease, body mass index, comorbidities, dialysis modality, and poverty level (adjusted hazard ratio = 1.35; 95% confidence interval, 1.27-1.43). Therefore, patient characteristics and socioeconomic status explained 26% of the association between race and likelihood of parathyroidectomy. CONCLUSION/CONCLUSIONS:Black patients with secondary hyperparathyroidism due to end-stage renal disease are more likely to undergo parathyroidectomy with shorter intervals between dialysis initiation and parathyroidectomy. This association is only partially explained by patient characteristics and socioeconomic factors.

BACKGROUND:Hyperparathyroidism persists in many patients after kidney transplantation. The purpose of this study was to evaluate the association between post-transplant hyperparathyroidism and kidney transplantation outcomes. METHODS:We identified 824 participants from a prospective longitudinal cohort of adult patients who underwent kidney transplantation at a single institution between December 2008 and February 2020. Parathyroid hormone levels before and after kidney transplantation were abstracted from medical records. Post-transplant hyperparathyroidism was defined as parathyroid hormone level ≥70 pg/mL 1 year after kidney transplantation. Cox proportional hazards models were used to estimate the adjusted hazard ratios of mortality and death-censored graft loss by post-transplant hyperparathyroidism. Models were adjusted for age, sex, race/ethnicity, college education, parathyroid hormone level before kidney transplantation, cause of kidney failure, and years on dialysis before kidney transplantation. A Wald test for interactions was used to evaluate the risk of death-censored graft loss by age, sex, and race. RESULTS:> .05). There was no association between post-transplant hyperparathyroidism and mortality. CONCLUSION/CONCLUSIONS:The risk of graft loss was significantly higher among patients with post-transplant hyperparathyroidism when compared with patients without post-transplant hyperparathyroidism.

UNLABELLED:Following the outbreak of coronavirus disease 2019 (COVID-19) in the United States, the number of kidney waitlist additions and living-donor and deceased-donor kidney transplants (LDKT/DDKT) decreased substantially but began recovering within a few months. Since then, there have been several additional waves of infection, most notably, the Delta and Omicron surges beginning in August and December 2021, respectively. METHODS/UNASSIGNED:Using SRTR data, we compared observed waitlist registrations, waitlist mortality, waitlist removal due to deteriorating condition, LDKT, and DDKT over 5 distinct pandemic periods to expected events based on calculations from preepidemic data while accounting for seasonality and secular trends. RESULTS/UNASSIGNED:). CONCLUSIONS/UNASSIGNED:Despite exceptionally high COVID-19 incidence during the Omicron wave, the transplant system responded similarly to prior waves that imposed a lesser disease burden, demonstrating the transplant system's growing adaptations and resilience to this now endemic disease.

BACKGROUND/UNASSIGNED:The COVID-19 pandemic led to the urgent implementation of telehealth visits in inflammatory bowel disease (IBD) care; however, data assessing feasibility remain limited. OBJECTIVES/UNASSIGNED:We looked to determine the completion rate of telehealth appointments for adults with IBD, as well as to evaluate demographic, clinical, and social predictors of incomplete appointments. DESIGN/UNASSIGNED:We conducted a retrospective analysis of all patients with IBD who had at least one scheduled telehealth visit at the NYU IBD Center between 1 March 2020 and 31 August 2021, with only the first scheduled telehealth appointment considered. METHODS/UNASSIGNED:Medical records were parsed for relevant covariables, and multivariable logistic regression was used to estimate the adjusted association between demographic factors and an incomplete telehealth appointment. RESULTS/UNASSIGNED: = 0.22). After adjustment, patients with CD had higher odds of an incomplete appointment as compared to patients with UC [adjusted odds ratio (adjOR): 1.37, 95% confidence interval (CI): 1.10-1.69], as did females (adjOR: 1.26, 95% CI: 1.04-1.54), and patients who had a non-first-degree relative listed as an emergency contact (adjOR: 1.69, 95% CI: 1.16-2.44). While age ⩾60 years was not associated with appointment completion status, we did find that age >80 years was an independent predictor of missed telehealth appointments (adjOR: 2.92, 95% CI: 1.12-7.63) when compared to individuals aged 60-70 years. CONCLUSION/UNASSIGNED:telehealth, particularly those aged 60-80 years, may therefore provide an additional venue to complement in-person care.

Decreased postdonation eGFR is associated with a higher risk of ESRD after living kidney donation, even when accounting for predonation characteristics. The Toulouse-Rangueil model (TRM) estimates 12 month postdonation eGFR (eGFR12) to inform counseling of candidates for living donation. The TRM was validated in several single-center European cohorts but has not been validated in US donors. We assessed the TRM in living kidney donors in the US using SRTR data 1/2000-6/2021. We compared the 2021 CKD-EPI equation eGFR12 observed estimates to the TRM eGFR12 predictions. Median (IQR) bias was -3.4 (-9.3, 3.4) mL/min/1.73 m². Bias was higher for males vs. females (bias [IQR] -4.4 [-9.9, 1.8] vs. -2.9 [-8.8, 4.1]) and younger (31-40) vs. older donors (>50) (bias -4.9 [-10.6, 3.0] vs. -2.1 [-7.5, 4.0]). Bias was also larger for Black vs. White donors (bias (-6.7 [-12.1, -0.3], p < 0.001) vs. (-3.4 [-9.1, 3.1], p < 0.001)). Overall correlation was 0.71. In a sensitivity analysis using the 2009 CKD-EPI equation, results were generally consistent with exception to a higher overall bias (bias -4.2 [-9.8, 2.4]). The TRM overestimates postdonation renal function among US donors. Overestimation was greatest for those at higher risk for postdonation ESRD including male, Black, and younger donors. A new equation is needed to estimate postdonation renal function.