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中国防痨杂志 ›› 2026, Vol. 48 ›› Issue (6): 840-848.doi: 10.19982/j.issn.1000-6621.20250432

• 论著 • 上一篇    下一篇

1990—2023年全球0~14岁儿童结核病负担评估与2024—2050年趋势预测

刘麟1,2, 殷小成1(), 张小佛2, 梁麟龙2, 杨炬3   

  1. 1 南华大学衡阳医学院第一附属医院儿科, 衡阳 421001
    2 南华大学衡阳医学院附属长沙中心医院儿科, 长沙 410004
    3 长沙华程康复医院门诊部, 长沙 410007
  • 收稿日期:2025-11-06 出版日期:2026-06-10 发布日期:2026-05-25
  • 通信作者: 殷小成 E-mail:xcyin108@sina.com

Global burden of tuberculosis in children aged 0-14 years, 1990—2023, and trend projections for 2024—2050

Liu Lin1,2, Yin Xiaocheng1(), Zhang Xiaofo2, Liang Linlong2, Yang Ju3   

  1. 1 Department of Pediatrics, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hunan Province, Hengyang 421001, China
    2 Department of Pediatrics, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Hunan Province, Changsha 410004, China
    3 Department of Outpatient, Huacheng Rehabilitation Hospital, Hunan Province, Changsha 410007, China
  • Received:2025-11-06 Online:2026-06-10 Published:2026-05-25
  • Contact: Yin Xiaocheng E-mail:xcyin108@sina.com

摘要:

目的: 分析1990—2023年全球0~14岁儿童结核病负担趋势,探讨社会人口学指数(sociodemographic index, SDI)与年龄相关性,预测至2050年的负担变化,为2035年世界卫生组织(World Health Organization, WHO)“终结结核病流行”战略提供依据。方法: 基于1990—2023年全球疾病负担(global burden of disease, GBD)研究数据,采用估计年度变化百分比(estimated annual percentage change, EAPC)分析儿童结核病发病率、死亡率及伤残调整寿命年(disability-adjusted life years, DALYs)的时间趋势;运用自回归积分移动平均(autoregressive integrated moving average, ARIMA)模型,预测至2050年的疾病负担。结果: 1990—2023年,全球0~14岁儿童结核病发病数、死亡数、DALYs分别下降45.06%、67.05%、65.13%,年龄标准化发病率(age-standardized incidence rate, ASIR)从133.01/10万降至63.18/10万,年龄标准化死亡率(age-standardized mortality rate, ASMR)从11.61/10万降至3.50/10万,年龄标准化DALYs率(age-standardized DALYs rate, ASDR)从1074.08/10万降至341.96/10万,EAPC范围为-3.92%~-2.38%(P值均<0.001)。2023年,低SDI地区占儿童结核病死亡数的76.85%(51328.34/66789.10),其ASMR(7.71/10万)是高SDI地区(0.09/10万)的85.67倍;<5岁年龄组儿童死亡数最高,为48452.88例,其ASMR(7.54/10万)远高于5~9岁儿童(1.33/10万)。ARIMA模型预测,2050年全球儿童结核病ASIR为36.83/10万,ASMR为1.39/10万,ASDR为142.34/10万。结论: 1990—2023年全球儿童结核病负担显著下降,但低SDI地区和<5岁儿童仍是高负担群体;需推广儿童友好型诊断工具,扩大预防性治疗及耐多药结核病精准干预,以实现2035年“终结结核病流行”的目标。

关键词: 儿童, 结核, 疾病负担, 预测

Abstract:

Objective: To analyze the trend of global tuberculosis burden of children aged 0-14 years from 1990 to 2023, explore the correlation between social demographic index (SDI) and age, predict the burden change to 2050, and provide the basis for the World Health Organization (WHO) strategy of “ending tuberculosis epidemic” in 2035. Methods: Based on the global burden of disease (GBD) research data from 1990 to 2023, the estimated annual percentage change (EAPC) was used to analyze the time trend of incidence rate, mortality and disability adjusted life years (DALYs) of children’s tuberculosis; Using the autoregressive integrated moving average (ARIMA) model, predict the disease burden until 2050. Results: From 1990 to 2023, the incidence, death and DALYs of tuberculosis in children aged 0 to 14 years in the world decreased by 45.06%, 67.05% and 65.13% respectively, the age standardized incidence rate (ASIR) decreased from 133.01/100000 to 63.18/100000, the age standardized mortality rate (ASMR) decreased from 11.61/100000 to 3.50/100000, the age standardized DALYs rate (ASDR) decreased from 1074.08/100000 to 341.96/100000, EAPC The range is -3.92%--2.38% (P<0.001). In 2023, low SDI areas will account for 76.85% (51328.34/66789.10) of child tuberculosis deaths, and their ASMR (7.71/100000) will be 85.67 times that of high SDI areas (0.09/100000); Children under the age of 5 have the highest number of deaths, with 48452.88 cases, and their ASMR (7.54/100000) is much higher than that of children aged 5-9 (1.33/100000). ARIMA model predicts that the global ASIR of children’s tuberculosis in 2050 will be 36.83/100000, ASMR will be 1.39/100000, and ASDR will be 142.34/100000. Conclusion: Despite substantial global declines in the childhood TB burden from 1990 to 2023, significant inequalities remain, concentrated in low-SDI regions and among children under 5 years. Achieving the 2035 “End TB” target necessitates targeted scaling up of child-friendly diagnostics, expanded preventive therapy, and precise interventions for MDR-TB.

Key words: Child, Tuberculosis, Burden of disease, Forecasting

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