Although liver transplantation is lifesaving for patients with end-stage liver disease (ESLD), the scarcity of cadaveric livers constrains its public health impact. Each year, approximately 6,000 patients undergo liver transplantation in the U.S., while roughly 2,000 are removed from the waitlist due to death or clinical deterioration. These 2,000 patients are a small fraction of the estimated 30,000 people that die each year from complications of ESLD26, suggesting the scarcity of livers may cause a potentially large number of ESLD patients to never be waitlisted. Indeed, the few available studies have estimated that less than 5% of potential transplant candidates are ever waitlisted.27,28 There are very limited data on factors that influence who among the population of patients with ESLD is listed for transplantation, and almost none of the data are population- based. Some factors, such as gender and cause of ESLD can be studied in local settings. However, the absence of nationally representative population-based data has prevented an in-depth evaluation of how systemic factors, such as geographic variations in supply and demand influence listing practices for ESLD patients. Thus, a population-based approach to studying ESLD is needed to bridge these unmet knowledge gaps. This proposal aims to establish such a population-based dataset of ESLD, and to use this new resource to test the central hypothesis that traditional research, focusing only on patients listed for liver transplantation, fails to capture the true impact of listing practices and allocation policies. The work could shift the paradigm by which future ESLD and transplant outcomes research is conducted to encompass population-level impacts of policies and practices. This work will: a) employ two novel algorithms to generate a national cohort of ESLD patients to be used for present and future ESLD outcomes research1,10~ b) identify potentially modifiable factors (e.g. listing practices) that can improv access to transplantation and outcomes among all potential transplant candidates~ and c) teach the applicant to use several new epidemiologic and demographic methods to foster his goal of become a leading physician-scientist focused on improving outcomes for ESLD patients.
The specific aims are to: 1) identify patient and geographic factors associated with listing for transplantation among ESLD patients~ 2) evaluate the total impact of local mismatches between liver supply and demand~ and 3) examine how rates of listing for liver transplantation influence adverse patient outcomes among both waitlisted patients and all local ESLD patients. The research structure at the University of Pennsylvania and the Clinical Center for Epidemiology and Biostatistics, supplemented by the didactic coursework offered through the Perelman School of Medicine at the University of Pennsylvania offer the optimal environment within which the candidate will complete this work and foster his career as a clinician and independent investigator. Dr. Goldberg has assembled a mentorship team with expertise in epidemiologic, health services, and hepatology research, and an Advisory Committee with a longstanding track record of research and mentorship.
Current research on patients with end-stage liver disease utilizes databases that only capture patients listed for liver transplantation, neglecting the lare pool of potential transplant candidates who never get listed. By identifying and examining a population-based cohort of patients with end-stage liver disease, this work seeks to improve the management of all patients with end-stage liver disease by evaluating how system-level interventions, including practices of listing patients for transplantation and allocating organs, impact all people with end-stage liver disease.
|Goldberg, David S; Shafer, Teresa; Siminoff, Laura (2018) Important Facts About Organ Donation and OPO Performance. Transplantation 102:e249-e250|
|Goldberg, David S; Levy, Cynthia; Yimam, Kidist et al. (2018) Primary Sclerosing Cholangitis Is Not Rare Among Blacks in a Multicenter North American Consortium. Clin Gastroenterol Hepatol 16:591-593|
|Bittermann, T; Hubbard, R A; Serper, M et al. (2018) Healthcare utilization after liver transplantation is highly variable among both centers and recipients. Am J Transplant 18:1197-1205|
|Bittermann, Therese; Goldberg, David S (2018) Quantifying the Effect of Transplanting Older Donor Livers Into Younger Recipients: The Need for Donor-recipient Age Matching. Transplantation 102:2033-2037|
|Murken, Douglas R; Peng, Allison W; Aufhauser Jr, David D et al. (2017) Same policy, different impact: Center-level effects of share 35 liver allocation. Liver Transpl 23:741-750|
|Goldberg, David S; Newcomb, Craig; Gilroy, Richard et al. (2017) Increased Distance to a Liver Transplant Center Is Associated With Higher Mortality for Patients With Chronic Liver Failure. Clin Gastroenterol Hepatol 15:958-960|
|Goldberg, David S; Levine, Matthew; Karp, Seth et al. (2017) Share 35 changes in center-level liver acceptance practices. Liver Transpl 23:604-613|
|Doshi, Sahil D; Bittermann, Therese; Schiano, Thomas D et al. (2017) Waitlisted Candidates With Polycystic Liver Disease Are More Likely to be Transplanted Than Those With Chronic Liver Failure. Transplantation 101:1838-1844|
|Bushyhead, Daniel; Goldberg, David (2017) Use of Hepatitis C-Positive Donor Livers in Liver Transplantation. Curr Hepatol Rep 16:12-17|
|Vajravelu, Ravy K; Osterman, Mark T; Aberra, Faten N et al. (2017) Indeterminate QuantiFERON-TB Gold Increases Likelihood of Inflammatory Bowel Disease Treatment Delay and Hospitalization. Inflamm Bowel Dis 24:217-226|
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