Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Environ Sci Technol. 2023 Jul 11;57(27):9934-9942. doi: 10.1021/acs.est.3c01460. Epub 2023 Jun 27.
Previous studies have established a significant link between ambient fine particulate matter (PM) exposure and atherosclerotic cardiovascular disease (ASCVD) incidence, but whether this association varies across populations with different predicted ASCVD risks was uncertain previously. We included 109,374 Chinese adults without ASCVD at baseline from the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) project. We obtained PM data of participants' residential address from 2000 to 2015 using a satellite-based spatiotemporal model. Participants were classified into low-to-medium and high-risk groups according to the ASCVD 10-year and lifetime risk prediction scores. Hazard ratios (HRs) and 95% confidence intervals (CIs) for PM exposure-related incident ASCVD, as well as the multiplication and additive interaction, were calculated using stratified Cox proportional hazard models. The additive interaction between risk stratification and PM exposure was estimated by the synergy index (SI), the attributable proportion due to the interaction (API), and the relative excess risk due to interaction (RERI). Over the follow-up of 833,067 person-years, a total of 4230 incident ASCVD cases were identified. Each 10 μg/m increment of PM concentration was associated with 18% (HR: 1.18; 95% CI: 1.14-1.23) increased risk of ASCVD in the total population, and the association was more pronounced among individuals having a high predicted ASCVD risk than those having a low-to-medium risk, with the HR (95% CI) of 1.24 (1.19-1.30) and 1.11 (1.02-1.20) per 10 μg/m increment in PM concentration, respectively. The RERI, API, and SI were 1.22 (95% CI: 0.62-1.81), 0.22 (95% CI: 0.12-0.32), and 1.37 (95% CI: 1.16-1.63), respectively. Our findings demonstrate a significant synergistic effect on ASCVD between ASCVD risk stratification and PM exposure and highlight the potential health benefits of reducing PM exposure in Chinese, especially among those with high ASCVD risk.
先前的研究已经证实,环境细颗粒物(PM)暴露与动脉粥样硬化性心血管疾病(ASCVD)的发生之间存在显著关联,但此前尚不确定这种关联是否因不同预测 ASCVD 风险的人群而异。我们纳入了来自中国动脉粥样硬化性心血管疾病风险预测(China-PAR)项目的 109374 名基线时无 ASCVD 的中国成年人。我们使用基于卫星的时空模型从 2000 年至 2015 年获得了参与者居住地址的 PM 数据。根据 ASCVD 10 年和终生风险预测评分,将参与者分为低-中风险组和高风险组。使用分层 Cox 比例风险模型计算与 PM 暴露相关的 ASCVD 发生率的风险比(HR)和 95%置信区间(CI),以及乘法和附加交互作用。通过协同指数(SI)、交互归因比例(API)和交互归因超额风险(RERI)来估计风险分层和 PM 暴露之间的附加交互作用。在 833067 人年的随访中,共确定了 4230 例 ASCVD 事件。在总人群中,PM 浓度每增加 10μg/m,ASCVD 风险增加 18%(HR:1.18;95%CI:1.14-1.23),在预测 ASCVD 风险较高的个体中,这种关联更为明显,HR(95%CI)分别为 1.24(1.19-1.30)和 1.11(1.02-1.20)每增加 10μg/m 的 PM 浓度。RERI、API 和 SI 分别为 1.22(95%CI:0.62-1.81)、0.22(95%CI:0.12-0.32)和 1.37(95%CI:1.16-1.63)。我们的研究结果表明,ASCVD 风险分层与 PM 暴露之间存在显著的协同作用,并且强调了降低中国人群 PM 暴露的潜在健康益处,尤其是在 ASCVD 风险较高的人群中。