实用肝脏病杂志 ›› 2026, Vol. 29 ›› Issue (4): 581-584.doi: 10.3969/j.issn.1672-5069.2026.04.026

• 肝癌 • 上一篇    下一篇

1990~2021年中国肝脏疾病负担及未来趋势预测研究*

石璐, 吴小玉, 受梦媛, 赵丹, 孙娜   

  1. 712046 陕西省咸阳市 陕西中医药大学公共卫生学院
  • 收稿日期:2025-09-08 出版日期:2026-07-10 发布日期:2026-07-20
  • 通讯作者: 孙娜,E-mail:sunna850109@163.com
  • 作者简介:石璐,女,26岁,硕士研究生。主要从事公共卫生管理研究。E-mail:13109167067@163.com
  • 基金资助:
    *陕西省自然科学基础研究计划项目(编号:S2024-JC-YB-2160);陕西中医药大学研究生质量提升工程基金资助项目(编号:GXSJ202433);咸阳市秦创原中医药产业创新聚集区项目(编号:173/179)

China disease burden of liver diseases from 1990 to 2021 and prediction of future trend

Shi Lu, Wu Xiaoyu, Shou Mengyuan, et al   

  1. Public Health School, Shaanxi University of Traditional Chinese Medicine, Xianyang712046, Shaanxi Province, China
  • Received:2025-09-08 Online:2026-07-10 Published:2026-07-20

摘要: 目的 分析1990~2021年中国肝脏类疾病的疾病负担,包括患病率、死亡率和伤残调整寿命年(DALYs),并预测2022~2035年疾病负担,为精准防控提供流行病学依据。方法 基于2021年全球疾病负担研究(GBD)数据库,分析中国肝脏类疾病负担特征,涵盖年龄标化患病率、死亡率和DALYs,应用年龄-时期-队列(APC)模型探讨肝脏类疾病的年龄、时期和队列效应,应用BAPC模型预测2022~2035年肝脏类疾病的变化趋势。结果 1990~2021年,中国急性肝炎的年龄标化患病率、死亡率和DALYs均呈现下降趋势;肝癌系列疾病患病率、死亡率和DALYs整体略有减少,但乙型肝炎、丙型肝炎、酒精和非酒精性肝炎引起的肝癌呈现死亡率和DALYs减少而患病率上升的趋势;非酒精性肝炎(包括肝硬化)死亡率和DALYs呈下降趋势,患病率呈现上升趋势;肝脏类疾病的DALY率和死亡率随年龄增长而降低,在老年群体中尤为显著,患病率随年龄增长先降低后升高;时期和队列效应分析表明,患病率的相对危险度随时间波动上升,而死亡率和DALY率相对危险度随时间下降;BAPC模型预测2022~2035年,肝脏疾病的标化患病率将继续上升,预计为22725.4/10万,与2021年相比增长率为3.4%;标化死亡率和标化DALY率将进一步下降,预计为14.5/10万和436.8/10万,与2021年相比下降率分别为10.6%和8.0%。结论 中国肝脏类疾病标化患病率整体呈上升趋势,标化死亡率和标化DALY率整体呈下降趋势,这一变化趋势受年龄、时期和队列效应的综合影响。未来防控策略应加强疫苗接种,扩大筛查措施,以应对患病率上升带来的挑战。

关键词: 肝脏疾病, 全球疾病负担研究, 年龄-时期-队列模型, 伤残调整寿命年

Abstract: Objective This study aimed to analyze the disease burden of liver diseases in China from 1990 to 2021, with emphasis on prevalence, mortality, and disability-adjusted life years (DALYs), and to predict the disease burden for the period of 2022 to 2035 in order to provide an epidemiological basis for precise prevention and control. Methods By using search of global burden of disease study(GBD) 2021 database, the characteristics of liver diseases burden in China were analyzed, including age-standardized prevalence, mortality, and DALY rates. Furthermore, an age-period-cohort (APC) model was applied to explore the age, period, and cohort effects on liver diseases, and an Bayesian age-period-cohort (BAPC) model was employed to forecast the liver disease trends from 2022 to 2035. Results From 1990 to 2021, the age-standardized prevalence, mortality, and DALYs of acute hepatitis, including hepatitis A, B, Cand E) in China showed a downward trend; the overall prevalence, mortality, and DALYs of liver cancer series diseases slightly decreased, but liver cancer caused by hepatitis B, C, alcohol and non-alcoholic hepatitis presented a trend of decreased mortality and DALYs with increased prevalence; the mortality and DALYs of non-alcoholic hepatitis, including cirrhosis, demonstrated a downward trend, while the prevalence was in upward trend;age effect analysis indicated that the DALY rates and mortality of liver diseases decreased with age, especially significant in the elderly population, the prevalence firstly decreased, andincreased with age thereafter; period and cohort effect analysis showed that the relative risk (RR) of prevalence fluctuated and increased over time, while the RR of mortality and DALY rates decreased over time; model projections from 2022 to 2035 indicated that age-standardised prevalence of liver diseases would continue to climb to an estimated 22 725.4 per 100 000, with an increase of 3.4% compared with 2021, while age-standardised mortality and DALY rates are expected to fall further to 14.5 and 436.8 per 100 000, representing a declines of 10.6 % and 8.0 %, respectively. Conclusion The standardized prevalence of liver diseases in China generally shows an upward trend, while the standardized mortality and standardized DALY rates show an overall downward trend, influenced by a combination of age, period and cohort factors. Prevention and control strategies should enhance the coverage of vaccination and screening measures to address the challenges brought by the increasing prevalence in the future.

Key words: Liver diseases, Global burden of disease, Age-period-cohort model, Disability-adjusted life year