Li Jiaqi, Guo Keyu, Qiu Junlin, Xue Song, Pi Linhua, Li Xia, Huang Gan, Xie Zhiguo, Zhou Zhiguang
Department of Metabolism and Endocrinology, National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.
Department of Nephrology, Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, Jiangxi 330006, China.
Chin Med J (Engl). 2025 Jan 24;138(5):568-78. doi: 10.1097/CM9.0000000000003428.
Approximately 40% of individuals with diabetes worldwide are at risk of developing diabetic kidney disease (DKD), which is not only the leading cause of kidney failure, but also significantly increases the risk of cardiovascular disease, causing significant societal health and financial burdens. This study aimed to describe the burden of DKD and explore its cross-country epidemiological status, predict development trends, and assess its risk factors and sociodemographic transitions.
Based on the Global Burden of Diseases (GBD) Study 2021, data on DKD due to type 1 diabetes (DKD-T1DM) and type 2 diabetes (DKD-T2DM) were analyzed by sex, age, year, and location. Numbers and age-standardized rates were used to compare the disease burden between DKD-T1DM and DKD-T2DM among locations. Decomposition analysis was used to assess the potential drivers. Locally weighted scatter plot smoothing and Frontier analysis were used to estimate sociodemographic transitions of DKD disability-adjusted life years (DALYs).
The DALYs due to DKD increased markedly from 1990 to 2021, with a 74.0% (from 2,228,000 to 3,876,000) and 173.6% (from 4,123,000 to 11,279,000) increase for DKD-T1DM and DKD-T2DM, respectively. In 2030, the estimated DALYs for DKD-T1DM surpassed 4.4 million, with that of DKD-T2DM exceeding 14.6 million. Notably, middle-sociodemographic index (SDI) quintile was responsible for the most significant DALYs. Decomposition analysis revealed that population growth and aging were major drivers for the increased DKD DALYs in most GBD regions. Interestingly, the most pronounced effect of positive DALYs change from 1990 to 2021 was presented in high-SDI quintile, while in low-SDI quintile, DALYs for DKD-T1DM and DKD-T2DM presented a decreasing trend over the past years. Frontiers analysis revealed that there was a negative association between SDI quintiles and age-standardized DALY rates (ASDRs) in DKD-T1DM and DKD-T2DM. Countries with middle-SDI shouldered disproportionately high DKD burden. Kidney dysfunction (nearly 100% for DKD-T1DM and DKD-T2DM), high fasting plasma glucose (70.8% for DKD-T1DM and 87.4% for DKD-T2DM), and non-optimal temperatures (low and high, 5.0% for DKD-T1DM and 5.1% for DKD-T2DM) were common risk factors for age-standardized DALYs in T1DM-DKD and T2DM-DKD. There were other specific risk factors for DKD-T2DM such as high body mass index (38.2%), high systolic blood pressure (10.2%), dietary risks (17.8%), low physical activity (6.2%), lead exposure (1.2%), and other environmental risks.
DKD markedly increased and varied significantly across regions, contributing to a substantial disease burden, especially in middle-SDI countries. The rise in DKD is primarily driven by population growth, aging, and key risk factors such as high fasting plasma glucose and kidney dysfunction, with projections suggesting continued escalation of the burden by 2030.
全球约40%的糖尿病患者有患糖尿病肾病(DKD)的风险,糖尿病肾病不仅是肾衰竭的主要原因,还显著增加了心血管疾病的风险,给社会带来了巨大的健康和经济负担。本研究旨在描述DKD的负担,探索其跨国流行病学状况,预测发展趋势,并评估其风险因素和社会人口结构转变。
基于《2021年全球疾病负担(GBD)研究》,按性别、年龄、年份和地点分析了1型糖尿病所致DKD(DKD-T1DM)和2型糖尿病所致DKD(DKD-T2DM)的数据。使用病例数和年龄标准化率比较各地区DKD-T1DM和DKD-T2DM之间的疾病负担。采用分解分析评估潜在驱动因素。使用局部加权散点图平滑法和前沿分析估计DKD伤残调整生命年(DALYs)的社会人口结构转变。
1990年至2021年,DKD所致DALYs显著增加,DKD-T1DM和DKD-T2DM分别增加了74.0%(从222.8万增至387.6万)和173.6%(从412.3万增至1127.9万)。预计到2030年,DKD-T1DM的DALYs将超过440万,DKD-T2DM的DALYs将超过1460万。值得注意的是,社会人口结构指数(SDI)中位数五分位数地区的DALYs最高。分解分析显示,在大多数GBD地区,人口增长和老龄化是DKD所致DALYs增加的主要驱动因素。有趣的是,1990年至2021年,DALYs正向变化最显著的是高SDI五分位数地区,而在低SDI五分位数地区,DKD-T1DM和DKD-T2DM的DALYs在过去几年呈下降趋势。前沿分析显示,DKD-T1DM和DKD-T2DM的SDI五分位数与年龄标准化DALY率(ASDRs)之间呈负相关。SDI中位数国家承担着过高的DKD负担。肾功能不全(DKD-T1DM和DKD-T2DM中近100%)、空腹血糖高(DKD-T1DM中70.8%,DKD-T2DM中87.4%)以及非适宜温度(低和高,DKD-T1DM中5.0%,DKD-T2DM中5.1%)是T1DM-DKD和T2DM-DKD中年龄标准化DALYs的常见风险因素。DKD-T2DM还有其他特定风险因素,如高体重指数(38.2%)、高收缩压(10.2%)、饮食风险(17.8%)、低体力活动(6.2%)、铅暴露(1.2%)以及其他环境风险。
DKD显著增加且地区差异显著,造成了巨大的疾病负担,尤其是在SDI中位数国家。DKD的增加主要由人口增长、老龄化以及空腹血糖高和肾功能不全等关键风险因素驱动,预计到2030年负担将持续上升。