Observational studies: Ambient air pollution and hospitalization for RA-ILD in a heavily polluted city in China

被引:10
作者
Liu, Baojin [1 ]
Sun, Guangzhi [2 ,3 ]
Liu, Ying [4 ]
Hou, Yanfeng [5 ,6 ]
机构
[1] Shandong First Med Univ, Cent Hosp, Dept Rheumatol, Jinan, Peoples R China
[2] Shandong First Med Univ, Affiliated Hosp 1, Dept Orthoped Surg, Jinan, Shandong, Peoples R China
[3] Shandong Prov Qianfoshan Hosp, Shandong Key Lab Rheumat Dis & Translat Med, Jinan, Peoples R China
[4] Shandong Univ Tradit Chinese Med, Affiliated Hosp, Dept Rheumatol, Jinan, Peoples R China
[5] Shandong First Med Univ, Affiliated Hosp 1, Dept Rheumatol & Autoimmunol, 16766 Jingshi Rd, Jinan, Shandong, Peoples R China
[6] Shandong Prov Qianfoshan Hosp, Shandong Key Lab Rheumat Dis & Translat Med, Shandong Med & Hlth Key Lab Rheumatism, 16766 Jingshi Rd, Jinan, Shandong, Peoples R China
关键词
air pollution; hospital admission; interstitial lung disease; rheumatoid arthritis; time-series analysis; INTERSTITIAL LUNG-DISEASE; RHEUMATOID-ARTHRITIS; CHIANG-MAI; RISK; MORTALITY; EXPOSURES; RATES;
D O I
10.1097/MD.0000000000029309
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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 (O-3), 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 1(st), 2015 to December 31(st), 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 mu g/m(3) 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.
引用
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页数:6
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