PDF(Pubmed)
Abstract：
Increasing evidence suggested that gaseous pollutants were associated with the development of autoimmune diseases, while there were few studies on the association between gaseous pollutants and Sjögren\'s syndrome (SS). This study sought to assess the relationship between exposure to several gaseous pollutants and the hospitalizations for SS.
The data regarding SS hospitalizations, gaseous pollutants, and meteorological factors in Hefei from 2016 to 2021 were collected. A distributed lag non-linear model combined with a generalized linear model were adopted to analyze the association between gaseous pollutants and SS hospitalizations, and stratified analyses were also conducted.
We detected significant associations between gaseous pollutants (NO2, SO2, O3, CO) and SS hospitalizations. Exposure to NO2 was linked with the elevated risk of hospitalizations for SS (RR=1.026, lag1 day). A positive correlation between CO exposure and hospitalizations for SS was found (RR=1.144, lag2 day). In contrast, exposure to SO2, O3 was respectively related to the decreased risk of hospitalizations for SS (SO2: RR=0.897, lag14 day; O3: RR=0.992, lag9 day). Stratified analyses found that female patients were more vulnerable to these gaseous pollutants. SS patients ≥ 65 years were more susceptible to NO2, CO exposure, and younger patients were more vulnerable to O3 exposure. In addition, exposure to O3, CO in cold season were more likely to affect hospitalizations for SS.
Our results demonstrated a significant association between exposure to NO2, CO and elevated risk of hospitalizations for SS, and SO2, O3 exposure might be linked to reduced risk of SS hospitalizations.
The data regarding SS hospitalizations, gaseous pollutants, and meteorological factors in Hefei from 2016 to 2021 were collected. A distributed lag non-linear model combined with a generalized linear model were adopted to analyze the association between gaseous pollutants and SS hospitalizations, and stratified analyses were also conducted.
We detected significant associations between gaseous pollutants (NO2, SO2, O3, CO) and SS hospitalizations. Exposure to NO2 was linked with the elevated risk of hospitalizations for SS (RR=1.026, lag1 day). A positive correlation between CO exposure and hospitalizations for SS was found (RR=1.144, lag2 day). In contrast, exposure to SO2, O3 was respectively related to the decreased risk of hospitalizations for SS (SO2: RR=0.897, lag14 day; O3: RR=0.992, lag9 day). Stratified analyses found that female patients were more vulnerable to these gaseous pollutants. SS patients ≥ 65 years were more susceptible to NO2, CO exposure, and younger patients were more vulnerable to O3 exposure. In addition, exposure to O3, CO in cold season were more likely to affect hospitalizations for SS.
Our results demonstrated a significant association between exposure to NO2, CO and elevated risk of hospitalizations for SS, and SO2, O3 exposure might be linked to reduced risk of SS hospitalizations.
摘要：
越来越多的证据表明，气态污染物与自身免疫性疾病的发展有关，而关于气态污染物与干燥综合征（SS）之间关系的研究很少。这项研究旨在评估暴露于几种气态污染物与SS住院之间的关系。
关于SS住院的数据，气态污染物，收集合肥市2016-2021年的气象因子。采用分布滞后非线性模型结合广义线性模型分析气态污染物与SS住院率之间的关联,并进行了分层分析.
我们检测到气态污染物（NO2，SO2，O3，CO）与SS住院之间存在显着关联。暴露于NO2与SS的住院风险升高有关（RR=1.026，lag1天）。发现CO暴露与SS住院率呈正相关（RR=1.144，lag2天）。相比之下,暴露于SO2，O3分别与SS的住院风险降低有关（SO2：RR=0.897，lag14天；O3：RR=0.992，lag9天）。分层分析发现，女性患者更容易受到这些气态污染物的影响。≥65岁的SS患者更容易发生NO2、CO暴露，年轻患者更容易受到O3暴露的影响。此外,在寒冷季节暴露于O3，CO更有可能影响SS的住院。
我们的研究结果表明，暴露于NO2、CO与SS住院风险升高之间存在显著关联，和SO2，O3暴露可能与降低SS住院风险有关。
关于SS住院的数据，气态污染物，收集合肥市2016-2021年的气象因子。采用分布滞后非线性模型结合广义线性模型分析气态污染物与SS住院率之间的关联,并进行了分层分析.
我们检测到气态污染物（NO2，SO2，O3，CO）与SS住院之间存在显着关联。暴露于NO2与SS的住院风险升高有关（RR=1.026，lag1天）。发现CO暴露与SS住院率呈正相关（RR=1.144，lag2天）。相比之下,暴露于SO2，O3分别与SS的住院风险降低有关（SO2：RR=0.897，lag14天；O3：RR=0.992，lag9天）。分层分析发现，女性患者更容易受到这些气态污染物的影响。≥65岁的SS患者更容易发生NO2、CO暴露，年轻患者更容易受到O3暴露的影响。此外,在寒冷季节暴露于O3，CO更有可能影响SS的住院。
我们的研究结果表明，暴露于NO2、CO与SS住院风险升高之间存在显著关联，和SO2，O3暴露可能与降低SS住院风险有关。
