Impact of a Prohibitive Versus Restrictive Tobacco Policy on Liver Transplant Candidate Outcomes

Burden of early hospitalization after simultaneous liver-kidney transplantation: Results from the US Multicenter SLKT Consortium

The burden of early hospitalization (within 6 months) following simultaneous liver-kidney transplant (SLKT) is not known. We examined risk factors associated with early hospitalization after SLKT and their impact on patient mortality conditional on 6-month survival. We used data from the US Multicenter SLKT Consortium cohort study of all adult SLKT recipients between 2002 and 2017 who were discharged alive following SLKT. We used Poisson regression to model rates of early hospitalizations after SLKT. Cox regression was used to identify risk factors associated with mortality conditional on survival at 6 months after SLKT. Median age (N = 549) was 57.7 years (interquartile range [IQR], 50.6-63.9) with 63% males and 76% Whites; 33% had hepatitis C virus, 20% had non-alcohol-associated fatty liver disease, 23% alcohol-associated liver disease, and 24% other etiologies. Median body mass index (BMI) and Model for End-Stage Liver Disease-sodium scores were 27.2 kg/m2 (IQR, 23.6-32.2 kg/m2 ) and 28 (IQR, 23-34), respectively. Two-thirds of the cohort had at least one hospitalization within the first 6 months of SLKT. Age, race, hospitalization at SLKT, diabetes mellitus, BMI, and discharge to subacute rehabilitation (SAR) facility after SLKT were independently associated with a high incidence rate ratio of early hospitalization. Number of hospitalizations within the first 6 months did not affect conditional survival. Early hospitalizations after SLKT were very common but did not affect conditional survival. Although most of the risk factors for early hospitalization were nonmodifiable, discharge to SAR after initial SLKT was associated with a significantly higher incidence rate of early hospitalization. Efforts and resources should be focused on identifying SLKT recipients at high risk for early hospitalization to optimize their predischarge care, discharge planning, and long-term follow-up.

How to manage cigarette smoking in kidney transplant candidates and recipients?

Tobacco smoking is a frequent problem affecting many kidney transplant (KT) candidates and recipients. The negative impact of active smoking on KT outcomes has been demonstrated. Consequently, most guidelines strongly recommend quitting smoking before considering kidney transplantation. However, nicotine addiction is a complex multifactorial disease and only 3–5% of the patients who try to quit by themselves achieve prolonged abstinence. Smoking cessation programmes (SCPs) have proven their efficacy in the general population to increase the rate of quitting and should therefore be proposed to all smoking KT candidates and recipients. Nevertheless, SCPs have not been evaluated in the KT field and not all KT centres have easy access to these programmes. In this work, we aim to review the current knowledge on the subject and provide an overview of the available interventions to help smoking patients quit. We detail non-pharmaceutical and pharmaceutical approaches and discuss their use in KT candidates and recipients.

Marijuana use among adult liver transplant candidates and recipients

BACKGROUND

Data regarding marijuana (MJ) use among liver transplant (LT) candidates are limited. We set out to determine the incidence and pre- and post-LT outcomes of adult LT candidates with a self-reported history of MJ use.

METHODS

Baseline clinical characteristics, waitlist, and post-LT outcomes of adult LT candidates from January 2010 to March 2017 were compared.

RESULTS

Among 2690 LT candidates, 630(23%) and 298(11%) reported a history of MJ use and use within the past 12 months, respectively. Although the proportion of MJ users increased over time(β = .76, p = .03), the proportion listed and transplanted did not change. Listing for LT increased with male (OR 1.24, 95% CI 11.01-1.52), MELD score (OR 1.08, 95% CI 1.01-1.15), HCC (OR 1.83, 95% CI 1.39-2.41) but decreased among MJ users (OR 0.67, 95% CI 0.50-0.91, p = .01). The median time to listing was longer among MJ users compared to non-users (115 vs. 87 days, p < .0005). Post-LT survival was similar in 83 MJ users and 306 non-users.

CONCLUSION

The proportion of MJ users among LT candidates is increasing. MJ users have a greater burden of psychosocial issues which may contribute to longer evaluations and lower rate of LT listing. Post-LT survival was not impacted by self-reported MJ use history.