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      The economic and clinical burden of nonalcoholic fatty liver disease in the United States and Europe

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          Abstract

          Nonalcoholic fatty liver disease (NAFLD) is a major cause of chronic liver disease. There is uncertainty around the economic burden of NAFLD. We constructed a steady-state prevalence model to quantify this burden in the United States and Europe. Five models were constructed to estimate the burden of NAFLD in the United States and four European countries. Models were built using a series of interlinked Markov chains, each representing age increments of the NAFLD and the general populations. Incidence and remission rates were calculated by calibrating against real-world prevalence rates. The data were validated using a computerized disease model called DisMod II. NAFLD patients transitioned between nine health states (nonalcoholic fatty liver, nonalcoholic steatohepatitis [NASH], NASH-fibrosis, NASH-compensated cirrhosis, NASH-decompensated cirrhosis, hepatocellular carcinoma, liver transplantation, post-liver transplant, and death). Transition probabilities were sourced from the literature and calibrated against real-world data. Utilities were obtained from NAFLD patients using the Short Form-6D. Costs were sourced from the literature and local fee schedules. In the United States, over 64 million people are projected to have NAFLD, with annual direct medical costs of about $103 billion ($1,613 per patient). In the Europe-4 countries (Germany, France, Italy, and United Kingdom), there are ∼52 million people with NAFLD with an annual cost of about €35 billion (from €354 to €1,163 per patient). Costs are highest in patients aged 45-65. The burden is significantly higher when societal costs are included.

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          Clinical patterns of hepatocellular carcinoma in nonalcoholic fatty liver disease: A multicenter prospective study.

          Nonalcoholic fatty liver disease (NAFLD) represents the hepatic manifestation of metabolic syndrome and may evolve into hepatocellular carcinoma (HCC). Only scanty clinical information is available on HCC in NAFLD. The aim of this multicenter observational prospective study was to assess the clinical features of patients with NAFLD-related HCC (NAFLD-HCC) and to compare them to those of hepatitis C virus (HCV)-related HCC. A total of 756 patients with either NAFLD (145) or HCV-related chronic liver disease (611) were enrolled in secondary care Italian centers. Survival was modeled according to clinical parameters, lead-time bias, and propensity analysis. Compared to HCV, HCC in NAFLD patients had a larger volume, showed more often an infiltrative pattern, and was detected outside specific surveillance. Cirrhosis was present in only about 50% of NAFLD-HCC patients, in contrast to the near totality of HCV-HCC. Regardless of tumor stage, survival was significantly shorter (P = 0.017) in patients with NAFLD-HCC, 25.5 months (95% confidence interval 21.9-29.1), than in those with HCV-HCC, 33.7 months (95% confidence interval 31.9-35.4). To eliminate possible confounders, a propensity score analysis was performed, which showed no more significant difference between the two groups. Additionally, analysis of patients within Milan criteria submitted to curative treatments did not show any difference in survival between NAFLD-HCC and HCV-HCC (respectively, 38.6 versus 41.0 months, P = nonsignificant)
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            A generic model for the assessment of disease epidemiology: the computational basis of DisMod II

            Epidemiology as an empirical science has developed sophisticated methods to measure the causes and patterns of disease in populations. Nevertheless, for many diseases in many countries only partial data are available. When the partial data are insufficient, but data collection is not an option, it is possible to supplement the data by exploiting the causal relations between the various variables that describe a disease process. We present a simple generic disease model with incidence, one prevalent state, and case fatality and remission. We derive a set of equations that describes this disease process and allows calculation of the complete epidemiology of a disease given a minimum of three input variables. We give the example of asthma with age-specific prevalence, remission, and mortality as inputs. Outputs are incidence and case fatality, among others. The set of equations is embedded in a software package called 'DisMod II', which is made available to the public domain by the World Health Organization.
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              Contribution of Alcoholic and Nonalcoholic Fatty Liver Disease to the Burden of Liver-Related Morbidity and Mortality.

              Nonalcoholic fatty liver disease (NAFLD) and alcoholic liver disease (ALD) are common causes of chronic liver disease. NAFLD is associated with obesity and metabolic syndrome whereas ALD is associated with excessive alcohol consumption. Both diseases can progress to cirrhosis, hepatocellular carcinoma, and liver-related death. A higher proportion of patients with NAFLD die from cardiovascular disorders than patients with ALD, whereas a higher proportion of patients with ALD die from liver disease. NAFLD and ALD each are associated with significant morbidity, impairment to health-related quality of life, and economic costs to society.
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                Author and article information

                Journal
                Hepatology
                Hepatology
                Wiley
                02709139
                November 2016
                November 2016
                September 26 2016
                : 64
                : 5
                : 1577-1586
                Affiliations
                [1 ]Center for Liver Diseases, Department of Medicine; Inova Fairfax Hospital; Falls Church VA
                [2 ]Maple Heath Group, LLC; New York NY
                [3 ]Center for Outcomes Research in Liver Disease; Washington DC
                [4 ]Betty and Guy Beatty Center for Integrated Research; Inova Health Systems; Falls Church VA
                Article
                10.1002/hep.28785
                27543837
                3871139c-79d0-478a-98c3-4658c7a2ab5d
                © 2016

                http://doi.wiley.com/10.1002/tdm_license_1

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