Xue Yi, Zhou Jie, Xu Bei-Ni, Li Yue, Bao Wu, Cheng Xia Lin, He Yan, Xu Chun Peng, Ren Jun, Zheng Ya Rong, Jia Chi Yu
Department of Burns and Plastic & Wound Repair Surgery, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
School of Medicine, Xiamen University, Xiamen, China.
Front Med (Lausanne). 2022 Apr 25;9:861115. doi: 10.3389/fmed.2022.861115. eCollection 2022.
The latest incidence and disability-adjusted life-years (DALYs) of major bacterial skin diseases (BSD) and their relationship with socioeconomic are not readily available.
Describe the global age-standardized incidence and DALYs rates of BSD and analyze their relationship with socioeconomic.
All data were obtained from Global Burden of Disease (GBD) 2019 database. The correlation between BSD and socioeconomic development status was analyzed.
The age-standardized incidence and age-standardized DALYs rate of BSD are: 169.72 million [165.28-175.44] and 0.41 million [0.33-0.48]. Of the two main BSD, pyoderma cause significantly much heavier burden than cellulitis. The change of age-standardized incidence (7.38% [7.06-7.67]) and DALYs (-10.27% [-25.65 to 25.45]) rate of BSD presented an upward or downward trend from 1990 to 2019. The highest burden was in the low-middle sociodemographic index (SDI) area while the area with the lowest burden was recorded in the high-middle SDI area in 2019.
GBD 2019 data of BSD are derived from estimation and mathematical modeling.
The burden of BSD is related to socioeconomic development status. The results based on GBD2019 data may benefit policymakers in guiding priority-setting decisions for the global burden of BSD.
主要细菌性皮肤病(BSD)的最新发病率、伤残调整生命年(DALYs)及其与社会经济的关系尚不清楚。
描述BSD的全球年龄标准化发病率和DALYs率,并分析它们与社会经济的关系。
所有数据均来自《2019年全球疾病负担》(GBD)数据库。分析了BSD与社会经济发展状况之间的相关性。
BSD的年龄标准化发病率和年龄标准化DALYs率分别为:1.6972亿[1.6528 - 1.7544]和41万[0.33 - 0.48]。在两种主要的BSD中,脓疱病造成的负担明显比蜂窝织炎重得多。1990年至2019年,BSD的年龄标准化发病率(7.38% [7.06 - 7.67])和DALYs率(-10.27% [-25.65至25.45])呈上升或下降趋势。2019年,负担最高的是社会人口统计学指数(SDI)低 - 中等地区,而负担最低的地区是SDI高 - 中等地区。
BSD的GBD 2019数据来自估计和数学建模。
BSD的负担与社会经济发展状况有关。基于GBD2019数据的结果可能有助于政策制定者指导关于BSD全球负担的优先事项设定决策。