1990—2023年中国白血病及亚型疾病负担变化趋势分析
Analysis of the Trends in Disease Burden of Leukemia and its subtypes in China from 1990 to 2023
投稿时间:2026-03-20  修订日期:2026-07-21
DOI:
中文关键词:  白血病及亚型  疾病负担  年龄-周期-队列模型  分解分析
英文关键词:Leukemia and its subtypes  Burden of disease  Age-period-cohort model  Decomposition analysis
基金项目:1.云南省疾病预防控制中心有组织科研项目(YNAPM2025-006);2.建设面向南亚东南亚科技创新中心专项——云南省国际联合创新平台(云南省公共卫生与疾病控制国际联合实验室202503AP140034)
作者单位邮编
黄淑娟 昆明医科大学 675900
杨晓云* 玉溪市儿童医院 673000
杨云娟 云南省疾病预防控制中心 650500
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中文摘要:
      目的 分析1990—2023年中国白血病及亚型疾病负担变化趋势,为优化防治策略和降低疾病负担提供科学依据。方法 基于全球疾病负担研究2023(GBD 2023)数据库,提取1990—2023年中国白血病各亚型疾病患病数/率、死亡数/率及伤残调整生命年(DALYs)/率等数据。采用R4.5.1软件,应用Joinpoint 回归分析疾病负担的时间趋势变化,构建年龄-周期-队列模型,并通过分解分析探索白血病及亚型疾病负担变化的促成因素。结果 2023年,中国白血病、急性淋巴细胞白血病(ALL)、慢性淋巴细胞白血病(CLL)、急性髓系白血病(AML)和慢性髓系白血病(CML)的年龄标化患病率分别为 43.94/10万、20.16/10万、13.76/10万、3.29/10万和0.93/10万,年龄标准化率的估计平均年度百分比变化(EAPC)分别为1.18%、1.11%、3.01%、1.00%和0.79%,均呈上升趋势。男性患病率、死亡率和DALYs率均高于女性。Joinpoint回归分析显示,1990—2023年,白血病、ALL、AML、CML和其他类型白血病的年龄标准化死亡率(ASMR)均呈下降趋势,平均年度变化百分比(AAPC)依次为-1.47%、-2.63%、-1.01%、-4.42%、-0.42%,而CLL则呈缓慢上升趋势。年龄—周期—队列模型显示,0~29岁各亚型死亡率随年龄增长而下降,女性降幅大于男性;除ALL外,其余亚型死亡风险随出生队列推移均下降趋势;各亚型死亡风险随年份推移持续降低,2019—2023年达最低水平,且2004—2008年后男性死亡风险反超女性。局部漂移与净漂移显示,白血病及亚型死亡率整体均呈显著下降趋势,女性降幅均大于男性,CML下降最快,女性各亚型死亡率均呈下降趋势,而男性在CLL(85岁后)出现特定年龄组死亡率上升信号。分解分析显示,患病数增长主要驱动因素为流行病学变化(65.04%)和人口增长(31.64%),死亡数和DALYs下降的主要驱动因素则为流行病学变化,分别占233.67%和116.47%。结论 1990—2023年中国白血病及主要亚型疾病患病率呈上升趋势,但ASMR和ASDR持续下降,疾病负担总体减轻。流行病学变化和人口增长是患病数增加的核心驱动力,死亡数和DALYs人年数下降主要归因于流行病学变化。
英文摘要:
      Objective To analyze trends in the disease burden of leukemia and its subtypes in China from 1990 to 2023, and to provide scientific evidence for optimizing prevention and treatment strategies and reducing the disease burden. Methods Based on the Global Burden of Disease Study 2023 database, we extracted all-age and age-standardized data on prevalence, mortality, and disability-adjusted life-years (DALYs) for leukemia subtypes in China from 1990 to 2023. Trends in disease burden were analyzed using Joinpoint regression, an age-period-cohort model was constructed, and decomposition analysis was performed to explore the contributing factors to changes in the disease burden of leukemia and its subtypes. All analyses were conducted using R version 4.5.1. Results In 2023, age-standardized prevalence rates for leukemia, acute lymphoblastic leukemia (ALL), chronic lymphocytic leukemia (CLL), acute myeloid leukemia (AML), and chronic myeloid leukemia (CML) in China were 43.94, 20.16, 13.76, 3.29, and 0.93 per 100 000 population. The age-standardized estimated average annual percentage change (EAPC) values were 1.18%, 1.11% , 3.01%, 1.00%, and 0.79%, all indicating upward trends. Males exhibited higher prevalence, mortality, and DALYs rates than females. Joinpoint regression analysis revealed that the age-standardized mortality rates (ASMR) for leukemia, ALL, AML, CML, and other leukemia all showed decreasing trends from 1990 to 2023, with average annual percent changes (AAPC) of ?1.47%, ?2.63%, ?1.01%, ?4.42%, and ?0.42%, respectively, whereas CLL demonstrated a slow upward trend. The age–period–cohort model showed that among individuals aged 0~29 years, mortality rates for all subtypes declined with age, and the decline was greater in females than in males; except for ALL, the mortality risk of all other subtypes decreased across successive birth cohorts; the mortality risk of each subtype continued to decrease over calendar time, reaching its lowest in 2019–2023, and after 2004–2008, the mortality risk in males exceeded that in females. Analyses of local drift and net drift demonstrated that mortality rates for leukemia and its subtypes have shown a significant downward trend, with the decline being greater among women than among men. CML has shown the fastest decline; mortality rates for all subtypes have trended downward among females, while among males, there are signs of rising mortality rates in a specific age group for CLL (after age 85). Decomposition analysis indicated that the increase in the number of prevalent cases was primarily driven by epidemiological changes (65.04%) and population (31.64%). The declines in the number of deaths and DALYs were mainly attributable to epidemiological changes, which accounted for 233.67% and 116.47% of the reductions, respectively. Conclusion From 1990 to 2023, the prevalence of leukemia and its major subtypes in China showed an upward trend; however, ASMR and ASDR continued to decline, leading to an overall reduction in disease burden. Epidemiological changes and population were the core drivers of the increase in prevalent cases, while the decreases in the number of deaths and DALYs were primarily attributable to epidemiological changes.
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