Faculty Bibliography

Importance:Female liver transplant candidates experience higher rates of wait list mortality than male candidates. Frailty is a critical determinant of mortality in patients with cirrhosis, but how frailty differs between women and men is unknown. Objective:To determine whether frailty is associated with the gap between women and men in mortality among patients with cirrhosis awaiting liver transplantation. Design, Setting, and Participants:This prospective cohort study enrolled 1405 adults with cirrhosis awaiting liver transplant without hepatocellular carcinoma seen during 3436 ambulatory clinic visits at 9 US liver transplant centers. Data were collected from January 1, 2012, to October 1, 2019, and analyzed from August 30, 2019, to October 30, 2020. Exposures:At outpatient evaluation, the Liver Frailty Index (LFI) score was calculated (grip strength, chair stands, and balance). Main Outcomes and Measures:The risk of wait list mortality was quantified using Cox proportional hazards regression by frailty. Mediation analysis was used to quantify the contribution of frailty to the gap in wait list mortality between women and men. Results:Of 1405 participants, 578 (41%) were women and 827 (59%) were men (median age, 58 [interquartile range (IQR), 50-63] years). Women and men had similar median scores on the laboratory-based Model for End-stage Liver Disease incorporating sodium levels (MELDNa) (women, 18 [IQR, 14-23]; men, 18 [IQR, 15-22]), but baseline LFI was higher in women (mean [SD], 4.12 [0.85] vs 4.00 [0.82]; P = .005). Women displayed worse balance of less than 30 seconds (145 [25%] vs 149 [18%]; P = .003), worse sex-adjusted grip (mean [SD], -0.31 [1.08] vs -0.16 [1.08] kg; P = .01), and fewer chair stands per second (median, 0.35 [IQR, 0.23-0.46] vs 0.37 [IQR, 0.25-0.49]; P = .04). In unadjusted mixed-effects models, LFI was 0.15 (95% CI, 0.06-0.23) units higher in women than men (P = .001). After adjustment for other variables associated with frailty, LFI was 0.16 (95% CI, 0.08-0.23) units higher in women than men (P < .001). In unadjusted regression, women experienced a 34% (95% CI, 3%-74%) increased risk of wait list mortality than men (P = .03). Sequential covariable adjustment did not alter the association between sex and wait list mortality; however, adjustment for LFI attenuated the mortality gap between women and men. In mediation analysis, an estimated 13.0% (IQR, 0.5%-132.0%) of the gender gap in wait list mortality was mediated by frailty. Conclusions and Relevance:These findings demonstrate that women with cirrhosis display worse frailty scores than men despite similar MELDNa scores. The higher risk of wait list mortality that women experienced appeared to be explained in part by frailty.

BACKGROUND:With stressors of dialysis prekidney transplantation (KT) and restoration of kidney function post-KT, it is likely that KT recipients experience a decline in functional status while on the waitlist and improvements post-KT. METHODS:We leveraged 224 832 KT recipients from the national registry (SRTR, February 1990-May 2019) with measured Karnofsky Performance Status (KPS, 0%-100%) at listing, KT admission, and post-KT. We quantified the change in KPS from listing to KT using generalized linear models. We described post-KT KPS trajectories using adjusted mixed-effects models and tested whether those trajectories differed by age, sex, race, and diabetes status using a Wald test among all KT recipients. We then quantified risk adverse post-KT outcomes (mortality and all-cause graft loss [ACGL]) by preoperative KPS and time-varying KPS. RESULTS:Mean KPS declined from listing (83.7%) to admission (78.9%) (mean = 4.76%, 95% confidence interval [CI]: -4.82, -4.70). After adjustment, mean KPS improved post-KT (slope = 0.89%/y, 95% CI: 0.87, 0.91); younger, female, non-Black, and diabetic recipients experienced greater post-KT improvements (Pinteractions < 0.001). Lower KPS (per 10% decrease) at admission was associated with greater mortality (adjusted hazard ratio [aHR] = 1.11, 95% CI: 1.10, 1.11) and ACGL (aHR = 1.08, 95% CI: 1.08, 1.09) risk. Lower post-KT KPS (per 10% decrease; time-varying) were more strongly associated with mortality (aHR = 1.93, 95% CI: 1.92, 1.94) and ACGL (aHR = 1.84, 95% CI: 1.83, 1.85). CONCLUSIONS:Functional status declines pre-KT and improves post-KT in the national registry. Despite post-KT improvements, poorer functional status at KT and post-KT are associated with greater mortality and ACGL risk. Because of its dynamic nature, clinicians should repeatedly screen for lower functional status pre-KT to refer vulnerable patients to prehabilitation in hopes of reducing risk of adverse post-KT outcomes.

A wide gap between the increasing demand for organs and the limited supply leads to immeasurable loss of life each year. The organ shortage could be attenuated by donors with human immunodeficiency virus (HIV) or hepatitis C virus (HCV). The transplantation of organs from HIV+ deceased donors into HIV+ individuals (HIV D+ /R+) was initiated in South Africa in 2010; however, this practice was forbidden in the USA until the HIV Organ Policy Equity (HOPE) Act in 2013. HIV D+/R+ transplantation is now practiced in the USA as part of ongoing research studies, helping to reduce waiting times for all patients on the waitlist. The introduction of direct acting antivirals for HCV has revolutionized the utilization of donors with HCV for HCV-uninfected (HCV-) recipients. This is particularly relevant as the HCV donor pool has increased substantially in the context of the rise in deaths related to drug overdose from injection drug use. This article serves to review the current literature on using organs from donors with HIV or HCV.

Implementation of the HIV Organ Policy Equity (HOPE) Act marks a new era in transplantation, allowing organ transplantation from HIV+ donors to HIV+ recipients (HIV D+/R+ transplantation). In this review, we discuss major milestones in HIV and transplantation which paved the way for this landmark policy change, including excellent outcomes in HIV D-/R+ recipient transplantation and success in the South African experience of HIV D+/R+ deceased donor kidney transplantation. Under the HOPE Act, from March 2016 to December 2018, there were 56 deceased donors, and 102 organs were transplanted (71 kidneys and 31 livers). In 2019, the first HIV D+/R+ living donor kidney transplants occurred. Reaching the full estimated potential of HIV+ donors will require overcoming challenges at the community, organ procurement organization, and transplant center levels. Multiple clinical trials are ongoing, which will provide clinical and scientific data to further extend the frontiers of knowledge in this field.

BACKGROUND:Black heart transplant recipients have higher risk of mortality than White recipients. Better understanding of this disparity, including subgroups most affected and timing of the highest risk, is necessary to improve care of Black recipients. We hypothesize that this disparity may be most pronounced among young recipients, as barriers to care like socioeconomic factors may be particularly salient in a younger population and lead to higher early risk of mortality. METHODS:We studied 22 997 adult heart transplant recipients using the Scientific Registry of Transplant Recipients data from January 2005 to 2017 using Cox regression models adjusted for recipient, donor, and transplant characteristics. RESULTS:=0.1). CONCLUSIONS:Young Black recipients have a high risk of mortality in the first year after heart transplant, which has been masked in decades of research looking at disparities in aggregate. To reduce overall racial disparities, clinical research moving forward should focus on targeted interventions for young Black recipients during this period.

BACKGROUND AND AIMS:Scores from the Model for End-Stage Liver Disease (MELD), which are used to prioritize candidates for deceased donor livers, are widely acknowledged to be negatively correlated with the 90-day survival rate without a liver transplant. However, inconsistent and outdated estimates of survival probabilities by MELD preclude useful applications of the MELD score. APPROACH AND RESULTS:Using data from all prevalent liver waitlist candidates from 2016 to 2019, we estimated 3-day, 7-day, 14-day, 30-day, and 90-day without-transplant survival probabilities (with confidence intervals) for each MELD score and status 1A. We used an adjusted Kaplan-Meier model to avoid unrealistic assumptions and multiple observations per person instead of just the observation at listing. We found that 90-day without-transplant survival has improved over the last decade, with survival rates increasing >10% (in absolute terms) for some MELD scores. We demonstrated that MELD correctly prioritizes candidates in terms of without-transplant survival probability but that status 1A candidates' short-term without-transplant survival is higher than that of MELD 40 candidates and lower than that of MELD 39 candidates. Our primary result is the updated survival functions themselves. CONCLUSIONS:We calculated without-transplant survival probabilities for each MELD score (and status 1A). The survival function is an invaluable tool for many applications in liver transplantation: awarding of exception points, calculating the relative demand for deceased donor livers in different geographic areas, calibrating the pediatric end-stage liver disease score, and deciding whether to accept an offered liver.

BACKGROUND:clinical and imaging investigations allow a detailed assessment of an organ donor, but a quota of cancer still elude detection. Complete autopsy of donors is even less frequently performed, due to economic issues and increasing availability of high-quality imaging. The aim of this study is to gather evidence from the literature on donor malignancy discovered at autopsy following organ donation and to discuss the utility and limitations of autopsy practice in the field of transplantation. METHODS:A systematic search according to PRISMA guidelines was carried out in Pubmed and Embase databases until September 2020 to select articles with reporting of cancer discovered in a donor at postmortem examination. Cancer discover in not-transplant setting were excluded. A descriptive synthesis was provided. RESULTS:Of 7388 articles after duplicates removal, 56 were included. Fifty-one studies reported on complete autopsy, while 5 dealt only with limited autopsy (prostate and central nervous system). The number of autopsies ranged between 1 and 246 with a total of 823 autopsies performed. The most frequent cancer discovered at autopsy was lymphoma (n = 13, 15%), followed by renal cell carcinoma (RCC) (n = 11, 13%), non-small cell lung cancer (NSCLC) (n = 10, 11%), melanoma (n = 10, 11%), choriocarcinoma (n = 6, 7%) and glioblastoma (GBM) (n = 6, 7%). CONCLUSIONS:Lymphoma and melanoma are still difficult-to-detect cancers both during donor investigation and at procurement, whilst prostate cancer and choriocarcinoma are almost always easily detected nowadays thank to blood markers and clinical examination. There have been improvements with time in pre-donation detection procedures which are now working well, particularly when complete imaging investigations are performed, given that detection rate of CT/MRI is high and accurate. Autopsy can play a role to help to establish the correct donor management pathways in case of cancer discover. Furthermore, it helps to better understand which cancers are still eluding detection and consequently to refine guidelines' assessment procedures.

BACKGROUND:Individuals undergoing hemodialysis in the United States frequently report pain and receive three-fold more opioid prescriptions than the general population. While opioid use is appropriate for select patients, high-dose utilization may contribute to an increased risk of death due to possible accumulation of opioid metabolites. METHODS:We studied high-dose opioid utilization (≥120 morphine milligram equivalents [MME] per day) among adults initiating hemodialysis in the United States between 2007 and 2014 using national registry data. We calculated the cumulative incidence (%) of high-dose utilization and depicted trends in the average percentage of days individuals were exposed to opioids. We used adjusted Cox proportional hazards models to identify which opioid doses were associated with mortality. RESULTS:Among 327,344 adults undergoing hemodialysis, the cumulative incidence of high-dose utilization was 14.9% at 2 years after initiating hemodialysis. Among patients with ≥1 opioid prescription during follow-up, the average percentage of days exposed to high-dose utilization increased from 13.9% in 2007 to 26.1% in 2014. Compared to 0MME per day, doses < 60MME were not associated with an increased risk of mortality, but high-dose utilization was associated with a 1.63-fold (95% CI, 1.57, 1.69) increased risk of mortality. The risk of mortality associated with opioid dose was highest in the first year after hemodialysis initiation. CONCLUSIONS:The risk of mortality associated with opioid utilization among individuals on hemodialysis increases as doses exceed 60MME per day and is greatest during periods of high-dose utilization. Patients and clinicians should carefully weigh the risks and benefits of opioid doses exceeding 60MME per day.