METHODS: This cohort study involving 367,298 adult participants from the UK Biobank, followed from March 2006 to October 2021. Air pollution metrics were estimated at residential locations using land-use regression models. Cox proportional hazard models were employed to explore the associations between air pollution exposure and CRS, CRSwNP, and CRSsNP. A polygenic risk score (PRS) was constructed to evaluate the joint effect of air pollution and genetic predisposition on the development of CRS.
RESULTS: We found that the risk of CRS increased under long-term exposure to PM2.5 [the hazard ratios (HRs) with 95 % CIs: 1.59 (1.26-2.01)], PM10 [1.64 (1.26-2.12)], NO2 [1.11 (1.04-1.17)], and NOx [1.18 (1.12-1.25)], respectively. These effects were more pronounced among participants with CRSwNP, although the differences were not statistically significant. Additionally, we found that the risks for CRS and CRSwNP increased in a graded manner among participants with higher PRS or higher exposure to PM2.5, PM10, or NOx concentrations. However, no multiplicative or additive interactions were observed.
CONCLUSIONS: Long-term exposure to air pollution increases the risk of CRS, particularly CRSwNP underscoring the need to prioritize clean air initiatives and environmental regulations.
方法:这项队列研究涉及来自英国生物库的367,298名成年参与者,从2006年3月到2021年10月。使用土地使用回归模型估算了居民点的空气污染指标。Cox比例风险模型用于探索空气污染暴露与CRS之间的关系。CRSwNP,和CRSsNP。构建了多基因风险评分(PRS),以评估空气污染和遗传易感性对CRS发展的联合影响。
结果:我们发现,在长期暴露于PM2.5的情况下,CRS的风险增加[95%CIs的风险比(HR):1.59(1.26-2.01)],PM10[1.64(1.26-2.12)],NO2[1.11(1.04-1.17)],和NOx[1.18(1.12-1.25)],分别。这些影响在CRSwNP参与者中更为明显,尽管差异无统计学意义。此外,我们发现,在PRS较高或PM2.5,PM10或NOx浓度较高的参与者中,CRS和CRSwNP的风险呈分级增加.然而,没有观察到乘法或加性相互作用。
结论:长期暴露于空气污染会增加CRS的风险,特别是CRSwNP强调需要优先考虑清洁空气倡议和环境法规。