Reducing the Burden of Hepatocellular Carcinoma Among Migrant Populations: Improving prevention and outcomes through disease modeling

项目摘要 肝细胞癌（HCC）是美国癌症死亡率增长最快的原因。HCC是 它不成比例地影响患有未被识别的无症状慢性病毒性肝炎的移民 （CVH）。该项目的长期目标是减少流动人口中可预防肝癌的发生 人口。本提案的总体目标是估计慢性病毒性肝炎（CVH）， 移民中肝细胞癌（HCC）的患病率，以检测与高 负担组，并描述这些组的合并症和结果。实现这一目标的目的 目标是减少流动人口中可预防肝癌的发生。这项研究将有助于 通过生成患者、从业者和决策者所需的流行病学数据， 同样，更容易确定最能从战略筛查中受益的移民群体， 监视 中心假设是，移民中HCC和CVH的风险和结果可以通过以下方法估计： 人口统计学这将通过追求两个具体目标进行测试：1）确定CVH和HCC的患病率 在移民人群中;和2）确定CVH和HCC合并症和移民中的结果 人口在第一个目标下，一个经过验证的CVH和HCC疾病模型将与流动人口配对 统计数据，以确定不同移徙人口的风险概况，包括年龄组和原籍国。 根据第二个目标，将利用现有的回顾性全民健康数据集， 不同移民人群中常见的伴随疾病和结果。拟议的研究是 创新，因为它侧重于确定特定移民群体特有的关键特征， 建立相关的CVH和HCC风险特征。如果能够实现，预期成果将是显著的 因为它们将有助于解决目前疾病负担方面的知识差距和 不同的移民群体，允许风险分层和适当的修改，以影响筛选 政策与实践。

Project Summary Hepatocellular carcinoma (HCC) is the fastest growing cause of cancer mortality in the United States. HCC is preventable, and it disproportionately affects migrants with unrecognized asymptomatic Chronic Viral Hepatitis (CVH). The long-term goal of this project is to reduce the occurrence of preventable liver cancer in migrant populations. The overall objective of this proposal is to estimate the Chronic Viral Hepatitis (CVH) and Hepatocellular Carcinoma (HCC) prevalence among migrants, to detect key identifiers associated with high- burden groups, and to describe the comorbidities and outcomes of those groups. The purpose of achieving this goal is to reduce the occurrence of preventable liver cancer in migrant populations. This study will contribute to this through the generation of the epidemiological data required for patients, practitioners, and policymakers alike to more readily identify the migrant groups that would benefit most from strategic screening and surveillance. The central hypothesis is that HCC and CVH risk and outcomes among migrants can be estimated by demographics. This will be tested by pursuing two specific aims: 1) Establish prevalence of CVH and HCC among migrant populations; and 2) Identify CVH and HCC comorbidities and outcomes within the migrant population. Under the first aim, a proven CVH and HCC disease model will be paired with migrant population statistics to establish the risk profiles for distinct migrant populations, including age group and country-of-origin. Under the second aim, an existing retrospective, population-wide health dataset will be utilized to identify common concomitant disease and outcomes among distinct migrant populations. The proposed research is innovative because it focuses on identifying key characteristics unique to specific migrant populations and establishing the associated CVH and HCC risk profiles. If achieved, the results are expected to be significant because they will contribute to resolving the current knowledge gaps in the disease burden and disparities of distinct migrant populations, allowing for risk stratifying and appropriate modifications to impact screening policy and practice.