Dong Yanwen, Wang Yangyang, Lan Xiaomei, Zeng Huiyan
Guangzhou University of Chinese Medicine, Guangzhou, China.
The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Front Public Health. 2025 May 19;13:1511518. doi: 10.3389/fpubh.2025.1511518. eCollection 2025.
This study aims to analyze the global, regional, and national burden of Ischemic Stroke (IS) attributed to High Fasting Plasma Glucose (HFPG) from 1990 to 2021, identify risk sources in different areas, and develop a platform to assess the disease burden in 204 countries and regions.
Using data from the 2021 Global Burden of Disease study, we analyzed IS-related deaths and disability-adjusted life years (DALYs) attributed to hyperglycemia from 1990 to 2021. We conducted detailed analyses by region, gender, and age. In different Socio-demographic Index (SDI) regions, we used the Age-Period-Cohort (APC) model to evaluate the impact of age, cohort, and period on Age-Standardized Mortality Rate (ASMR) and decomposition analysis to separate the contributions of population, aging, and epidemiological changes. A visualization platform was built using the Shiny package.
In 2021, approximately 18% of all IS-related DALYs and deaths were attributed to HFPG, with an annual percentage change (EAPC) in DALYs of -0.715 (-0.811, -0.620) and deaths of -0.959 (-1.059, -0.859). The primary mortality group was aged 80-84. ASMR, categorized by SDI, showed increases in Low-middle SDI: 0.482 (0.422, 0.542) and Low SDI: 0.287 (0.218, 0.356), particularly in Central Asia, East Asia, North Africa and Middle East, and South Asia. The APC model indicates that age is the primary source of burden in High, High-middle, and Middle SDI regions, with ASMR trends improving over the last 5 years, contrary to trends in Low-middle and Low SDI regions. Decomposition analysis suggests that aging and epidemiological changes in High-middle and High SDI regions outweigh population growth. In contrast, in low, low-middle, and middle SDI regions, the population remains the most significant influence, with the impact of aging increasing. The HFPG-IS platform is accessible at http://116.196.73.86:3838/GBD/HFPG-IS/.
There is a significant imbalance in IS health attributed to HFPG globally. In low SDI regions, larger populations face more uneven healthcare distribution, necessitating improvements in healthcare infrastructure, especially in areas like the United Arab Emirates. There should be a focus on metabolic adjustments and attention to high-risk groups, such as those aged 80-84, to reduce health losses.
本研究旨在分析1990年至2021年期间,高空腹血糖(HFPG)所致缺血性中风(IS)的全球、区域和国家负担,确定不同地区的风险来源,并开发一个平台来评估204个国家和地区的疾病负担。
利用2021年全球疾病负担研究的数据,我们分析了1990年至2021年期间高血糖所致与IS相关的死亡和伤残调整生命年(DALYs)。我们按地区、性别和年龄进行了详细分析。在不同的社会人口指数(SDI)地区,我们使用年龄-时期-队列(APC)模型评估年龄、队列和时期对年龄标准化死亡率(ASMR)的影响,并通过分解分析来区分人口、老龄化和流行病学变化的贡献。使用Shiny软件包构建了一个可视化平台。
2021年,所有与IS相关的DALYs和死亡中约18%归因于HFPG,DALYs的年变化百分比(EAPC)为-0.715(-0.811,-0.620),死亡的年变化百分比为-0.959(-1.059,-0.859)。主要死亡群体为80-84岁。按SDI分类的ASMR显示,低中SDI地区增加了0.482(0.422,0.542),低SDI地区增加了0.287(0.218,0.356),特别是在中亚、东亚、北非和中东以及南亚。APC模型表明,在高、高中和中SDI地区,年龄是负担的主要来源,过去5年ASMR趋势有所改善,这与低中SDI和低SDI地区的趋势相反。分解分析表明,高中和高SDI地区的老龄化和流行病学变化超过了人口增长。相比之下,在低、低中、中SDI地区,人口仍然是最显著的影响因素,老龄化的影响在增加。HFPG-IS平台可通过http://116.196.73.86:3838/GBD/HFPG-IS/访问。
全球范围内,HFPG所致的IS健康负担存在显著不平衡。在低SDI地区,更多人口面临医疗保健分配不均的问题,需要改善医疗基础设施,特别是在阿联酋等地区。应关注代谢调整并关注高危群体,如80-84岁的人群,以减少健康损失。