Dataset Information

Patients With Hepatocellular Carcinoma Have Highest Rates of Wait-listing for Liver Transplantation Among Patients With End-Stage Liver Disease.

ABSTRACT: Despite recent attention to differences in access to livers for transplantation, research has focused on patients already on the wait list. We analyzed data from a large administrative database that represents the entire US population, and state Medicaid data, to identify factors associated with differences in access to wait lists for liver transplantation.We performed a retrospective cohort study of transplant-eligible patients with end-stage liver disease using the HealthCore Integrated Research Database (2006-2014; n = 16,824) and Medicaid data from 5 states (2002-2009; California, Florida, New York, Ohio, and Pennsylvania; n = 67,706). Transplant-eligible patients had decompensated cirrhosis, hepatocellular carcinoma (HCC), and/or liver synthetic dysfunction, based on validated International Classification of Diseases, Ninth Revision-based algorithms and data from laboratory studies. Placement on the wait list was determined through linkage with the Organ Procurement and Transplantation Network database.In an unadjusted analysis of the HealthCore database, we found that 29% of patients with HCC were placed on the 2-year wait list (95% confidence interval [CI], 25.4%-33.0%) compared with 11.9% of patients with stage 4 cirrhosis (ascites) (95% CI, 11.0%-12.9%) and 12.6% of patients with stage 5 cirrhosis (ascites and variceal bleeding) (95% CI, 9.4%-15.2%). Among patients with each stage of cirrhosis, those with HCC were significantly more likely to be placed on the wait list; adjusted subhazard ratios ranged from 1.7 (for patients with stage 5 cirrhosis and HCC vs those without HCC) to 5.8 (for patients with stage 1 cirrhosis with HCC vs those without HCC). Medicaid beneficiaries with HCC were also more likely to be placed on the transplant wait list, compared with patients with decompensated cirrhosis, with a subhazard ratio of 2.34 (95% CI, 2.20-2.49). Local organ supply and wait list level demand were not associated with placement on the wait list.In an analysis of US healthcare databases, we found patients with HCC to be more likely to be placed on liver transplant wait lists than patients with decompensated cirrhosis. Previously reported reductions in access to transplant care for wait-listed patients with decompensated cirrhosis underestimate the magnitude of this difference.

SUBMITTER: Goldberg D

PROVIDER: S-EPMC5069141 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature

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Patients With Hepatocellular Carcinoma Have Highest Rates of Wait-listing for Liver Transplantation Among Patients With End-Stage Liver Disease.

Goldberg David D French Benjamin B Newcomb Craig C Liu Qing Q Sahota Gurvaneet G Wallace Anna E AE Forde Kimberly A KA Lewis James D JD Halpern Scott D SD

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association 20160629 11

<h4>Background & aims</h4>Despite recent attention to differences in access to livers for transplantation, research has focused on patients already on the wait list. We analyzed data from a large administrative database that represents the entire US population, and state Medicaid data, to identify factors associated with differences in access to wait lists for liver transplantation.<h4>Methods</h4>We performed a retrospective cohort study of transplant-eligible patients with end-stage liver dise ...[more]

PMID: 27374003

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Project description:BackgroundTransplant education in dialysis centers can increase access to kidney transplant; however, dialysis center transplant barriers are common, and limited research identifies the most effective transplant education approaches.MethodsWe surveyed transplant educators in 1694 US dialysis centers about their transplant knowledge, use of 12 education practices, and 8 identified education barriers. Transplant wait-listing rates were calculated using US Renal Data System data.ResultsFifty-two percent of educators orally recommended transplant to patients, 31% had in-center transplant discussions with patients, 17% distributed print educational resources, and 3% used intensive education approaches. Distribution of print education (incident rate ratio: 1.021.151.30) and using >1 intensive education practice (1.001.111.23) within dialysis centers were associated with increased wait-listing rates. Several dialysis center characteristics were associated with reduced odds of using education strategies leading to increased wait-listing. Centers with greater percentages of uninsured patients (odds ratio [OR]: 0.960.970.99), in rural locations (OR: 0.660.790.95), with for-profit ownership (OR: 0.640.770.91), and with more patients older than 65 years (OR: 0.050.110.23) had lower odds of recommending transplant, while centers with a higher patient-to-staff ratio were more likely to do so (OR: 1.011.031.04). Language barriers (OR: 0.480.640.86) and having competing work priorities (OR: 0.400.530.70) reduced the odds of distributing print education. Providers with greater transplant knowledge were more likely to use >1 intensive educational strategy (OR: 1.011.271.60) while providers who reported competing work priorities (OR: 0.510.660.84) and poor communication with transplant centers (OR: 0.580.760.98) were less likely to do so.ConclusionsEducators should prioritize transplant education strategies shown to be associated with increasing wait-listing rates.

Project description:Background & aimsLiver transplantation is the only treatment that increases survival times of patients with decompensated cirrhosis. Patients who live farther away from a transplant center are disadvantaged. Health care delivery via telehealth is an effective way to manage patients with decompensated cirrhosis remotely. We investigated the effects of telehealth on the liver transplant evaluation process.MethodsWe performed a retrospective study of 465 patients who underwent evaluation for liver transplantation at the Richmond Veterans Affairs Medical Center from 2005 through 2017. Of these, 232 patients were evaluated via telehealth, and 233 via in-person evaluation. Using regression models, we evaluated the differential effects of telehealth vs usual care on placement on the liver transplant waitlist. We also investigated the effects of telehealth on time from referral to initial evaluation by a transplant hepatologist, liver transplantation, and mortality.ResultsPatients in the telehealth group were evaluated significantly faster than patients evaluated in person, without or with adjustment for potential confounders (21.7 vs 79.5 d; P < .01). Telehealth also was associated with a significantly shorter time on the liver transplant waitlist (138.8 vs 249 d; P < .01). After propensity-matched analysis, telehealth was associated with a reduction in the time from referral to evaluation (hazard ratio, 0.15; 95% CI, 0.09-0.21; P < .01) and listing (hazard ratio, 0.26; 95% CI, 0.12-0.40; P < .01), but not to transplantation. In the intent-to-treat analysis of all referred patients, we found no significant difference in pretransplant mortality between patients evaluated via telehealth vs in-person. There was statistically significant interaction between model for end-stage liver disease (MELD)-Na scores and time to evaluation (P = .009) and placement on the transplant waitlist (P = .002), with telehealth offering greater benefits to patients with low MELD-Na scores.ConclusionsUse of telehealth is associated with a substantial reduction in time from referral to initial evaluation by a hepatologist and placement on the liver transplant waitlist, especially for patients with low MELD scores, with no changes in time to transplantation or pretransplant mortality. More studies are needed, particularly outside of the Veterans Administration Health System, to confirm that telehealth is a safe and effective way to expand access for patients undergoing evaluation for liver transplantation.

Project description:BACKGROUND & AIM:The goal of organ allocation is to distribute a scarce resource equitably to the sickest patients. In the United States, the Model for End-stage Liver Disease (MELD) is used to allocate livers for transplantation. Patients with greater MELD scores are at greater risk of death on the waitlist and are prioritized for liver transplant (LT). The MELD is capped at 40 however, and patients with calculated MELD scores >40 are not prioritized despite increased mortality. We aimed to evaluate waitlist and post-transplant survival stratified by MELD to determine outcomes in patients with MELD >40. METHODS:Using United Network for Organ Sharing data, we identified patients listed for LT from February 2002 through to December 2012. Waitlist candidates with MELD ?40 were followed for 30days or until the earliest occurrence of death or transplant. RESULTS:Of 65,776 waitlisted patients, 3.3% had MELD ?40 at registration, and an additional 7.3% had MELD scores increase to ?40 after waitlist registration. A total of 30,369 (46.2%) underwent LT, of which 2,615 (8.6%) had MELD ?40 at transplant. Compared to MELD 40, the hazard ratio of death within 30days of registration was 1.4 (95% CI 1.2-1.6) for patients with MELD 41-44, 2.6 (95% CI 2.1-3.1) for MELD 45-49, and 5.0 (95% CI 4.1-6.1) for MELD ?50. There was no difference in 1- and 3-year survival for patients transplanted with MELD >40 compared to MELD=40. A survival benefit associated with LT was seen as MELD increased above 40. CONCLUSIONS:Patients with MELD >40 have significantly greater waitlist mortality but comparable post-transplant outcomes to patients with MELD=40 and, therefore, should be given priority for LT. Uncapping the MELD will allow more equitable organ distribution aligned with the principle of prioritizing patients most in need. Lay summary: In the United States (US), organs for liver transplantation are allocated by an objective scoring system called the Model for End-stage Liver Disease (MELD), which aims to prioritize the sickest patients for transplant. The greater the MELD score, the greater the mortality without liver transplant. The MELD score, however, is artificially capped at 40 and thus actually disadvantages the sickest patients with end-stage liver disease. Analysis of the data advocates uncapping the MELD score to appropriately prioritize the patients most in need of a liver transplant.

Project description:Given the increasing incidence of hepatocellular carcinoma (HCC) and regional variation in liver transplantation (LT) rates for HCC, we investigated temporal and geographic disparities in LT and wait-list dropout. LT candidates receiving Model for End-Stage Liver Disease (MELD) exception from 2005 to 2014 were identified from the United Network for Organ Sharing database (n = 14,320). Temporal differences were compared across 2 eras (2005-2009 and 2010-2014). Regional groups were defined based on median wait time as long-wait region (LWR; regions 1, 5, and 9), mid-wait region (MWR; regions 2, 4, 6, 7, and 8), and short-wait region (SWR; regions 3, 10, and 11). Fine and Gray competing risk regression estimated risk of wait-list dropout as hazard ratios (HRs). The cumulative probability of LT within 3 years was 70% in the LWR versus 81% in the MWR and 91% in the SWR (P < 0.001). From 2005-2009 to 2010-2014, median time to LT increased by 6.0 months (5.6 to 11.6 months) in the LWR compared with 3.8 months (2.6 to 6.4 months) in the MWR and 1.3 months (1.0 to 2.3 months) in the SWR. The cumulative probability of dropout within 3 years was 24% in the LWR versus 16% in the MWR and 8% in the SWR (P < 0.001). From 2005-2009 to 2010-2014, the LWR also had the greatest increase in probability of dropout. Risk of dropout was increased in the LWR (HR, 3.5; P < 0.001) and the MWR (HR, 2.2; P < 0.001) compared with the SWR, and year of MELD exception 2010-2014 (HR, 1.9; P < 0.001) compared with 2005-2009. From 2005-2009 to 2010-2014, intention-to-treat 3-year survival decreased from 69% to 63% in the LWR (P < 0.001), 72% to 69% in the MWR (P = 0.008), and remained at 74% in the SWR (P = 0.48). In conclusion, we observed a significant increase in wait-list dropout in HCC patients in recent years that disproportionately impacted LWR patients. Widening geographical disparities call for changes in allocation policy as well as enhanced efforts at increasing organ donation and utilization.

Dataset Information

Patients With Hepatocellular Carcinoma Have Highest Rates of Wait-listing for Liver Transplantation Among Patients With End-Stage Liver Disease.

Publications

Patients With Hepatocellular Carcinoma Have Highest Rates of Wait-listing for Liver Transplantation Among Patients With End-Stage Liver Disease.

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