Department of Rheumatology, Central Hospital Affiliated to Shandong First Medical University, Jinan, China.
Department of Orthopedic Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational medicine.
Medicine (Baltimore). 2022 May 13;101(19):e29309. doi: 10.1097/MD.0000000000029309.
Little is known within the medical community about the impact of air pollution on hospital admissions due to rheumatoid arthritis associated with interstitial lung disease (RA-ILD). Our research aimed to explore whether there is a correlation and to estimate how the association was distributed across various lags in Jinan, China.The relationships between ambient air pollutant concentrations, including PM2.5, PM10, sulfur dioxide (SO2), ozone (O3), and nitrogen dioxide (NO2), and monthly hospitalizations for RA-ILD were studied by employing a general linear model with a Poisson distribution. This time-series study was performed from January 1st, 2015 to December 31st, 2019.In the 5-year study, there were 221 hospitalizations for RA-ILD in Jinan city. The levels of PM2.5, PM10, SO2, and NO2 were significantly related to the number of admissions for RA-ILD. PM2.5, PM10, and SO2 showed the most significant effect on the month (lag 0), and NO2 was most related to RA-ILD at a lag of two months (lag 2). The monthly admissions of RA-ILD increased by 0.875% (95% CI: 0.375-1.377%), 0.548% (95% CI: 0.148-0.949%), 1.968% (95% CI: 0.869-3.080%), and 1.534% (95% CI: 0.305-2.778%) for each 10 μg/m3 increase in PM2.5, PM10, SO2 and NO2, respectively.This study might add more detailed evidence that higher levels of PM2.5, PM10, SO2 and NO2 increase the risk of hospitalizations for RA-ILD. Further study of the role of air pollution in the pathogenesis of RA-ILD is warranted.
在中国济南,我们旨在探讨环境空气污染物浓度(包括 PM2.5、PM10、二氧化硫 [SO2]、臭氧 [O3]和二氧化氮 [NO2])与类风湿关节炎相关间质性肺疾病(RA-ILD)住院人数之间是否存在相关性,并评估这种关联在不同滞后期的分布情况,而这在医学界知之甚少。本时间序列研究于 2015 年 1 月 1 日至 2019 年 12 月 31 日进行,采用泊松分布的广义线性模型研究了 RA-ILD 每月住院人数与环境空气污染物浓度之间的关系。
在这项为期 5 年的研究中,济南市共有 221 例 RA-ILD 住院病例。PM2.5、PM10、SO2 和 NO2 水平与 RA-ILD 的入院人数显著相关。PM2.5、PM10 和 SO2 对当月(滞后 0)的影响最大,而 NO2 对滞后 2 个月的 RA-ILD 相关性最大。RA-ILD 的每月住院人数分别增加了 0.875%(95%CI:0.375-1.377%)、0.548%(95%CI:0.148-0.949%)、1.968%(95%CI:0.869-3.080%)和 1.534%(95%CI:0.305-2.778%),PM2.5、PM10、SO2 和 NO2 浓度每增加 10μg/m3。
本研究可能为更高水平的 PM2.5、PM10、SO2 和 NO2 增加 RA-ILD 住院风险提供了更详细的证据。需要进一步研究空气污染在 RA-ILD 发病机制中的作用。