PDF(Sci-hub)
Abstract：
UNASSIGNED: Air particulate matter with an aerodynamic diameter of 10 µm or less (PM10) is one of the main causes of acute exacerbation of chronic obstructive pulmonary disease (AECOPD). This study explored the relationship between PM10 by remote sensing and AECOPD in Chaharmahal-o-Bakhtiari province from 2014 to2018.
UNASSIGNED: PM10 concentrations were predicted and validated based on aerosol optical depth (AOD) from 161 images processed by MODIS sensor and ground air quality monitoring station data. Demographic information and spirometric indices of 2038 patients with AECOPD were collected and analyzed from the hospital during the studied periods. SPSS software was used to analyze the relationships between these two categories of information.
UNASSIGNED: There was a significant negative relationship between PM10 and FVC, FVC%, FEV1, FEV1%, FEF25-75, FEV1/FVC, PEF, and FEF25FVC indices (p < 0.05). The results showed that over 2014-2018, the annual mean of PM10 concentrations varied from 35 to 52 µg/m3. The result of the regression model showed that the patient\'s age, body mass index (BMI), and PM10 concentrations were the most affecting variables on the two important spirometric indices i.e., FVC% and FEV1%. The PM10 concentrations and number of AECOPD patients had a similar pattern during the studied period. The women group, age group above 74 years, normal BMI, and non-smoking patients showed the most sensitivity to the PM10 concentrations.
UNASSIGNED: Our findings provide supplementary scientific information on PM10 concentration related to the incidence of AECOPD and as a variable affecting the most important spirometry indicators by providing local decision-makers information needed to set a priority of air pollution control measures as well as health services.
UNASSIGNED: PM10 concentrations were predicted and validated based on aerosol optical depth (AOD) from 161 images processed by MODIS sensor and ground air quality monitoring station data. Demographic information and spirometric indices of 2038 patients with AECOPD were collected and analyzed from the hospital during the studied periods. SPSS software was used to analyze the relationships between these two categories of information.
UNASSIGNED: There was a significant negative relationship between PM10 and FVC, FVC%, FEV1, FEV1%, FEF25-75, FEV1/FVC, PEF, and FEF25FVC indices (p < 0.05). The results showed that over 2014-2018, the annual mean of PM10 concentrations varied from 35 to 52 µg/m3. The result of the regression model showed that the patient\'s age, body mass index (BMI), and PM10 concentrations were the most affecting variables on the two important spirometric indices i.e., FVC% and FEV1%. The PM10 concentrations and number of AECOPD patients had a similar pattern during the studied period. The women group, age group above 74 years, normal BMI, and non-smoking patients showed the most sensitivity to the PM10 concentrations.
UNASSIGNED: Our findings provide supplementary scientific information on PM10 concentration related to the incidence of AECOPD and as a variable affecting the most important spirometry indicators by providing local decision-makers information needed to set a priority of air pollution control measures as well as health services.
摘要：
■空气动力学直径为10µm或更小的空气颗粒物（PM10）是慢性阻塞性肺疾病（AECOPD）急性加重的主要原因之一。本研究探讨了2014年至2018年Chaharmahal-o-Bakhtiari省遥感PM10与AECOPD的关系。
■根据MODIS传感器处理的161张图像和地面空气质量监测站数据，根据气溶胶光学深度（AOD）对PM10浓度进行了预测和验证。收集并分析了2038例AECOPD患者在研究期间的人口统计信息和肺活量指标。使用SPSS软件分析这两类信息之间的关系。
■PM10与FVC呈显著负相关,FVC%,FEV1,FEV1%,FEF25-75,FEV1/FVC,PEF,和FEF25FVC指数(p<0.05)。结果表明，在2014-2018年期间，PM10的年平均浓度从35到52µg/m3不等。回归模型的结果表明，患者的年龄，体重指数（BMI），PM10浓度是影响两个重要肺活量指数的最大变量，FVC%和FEV1%。在研究期间，AECOPD患者的PM10浓度和数量具有相似的模式。妇女团体,74岁以上年龄组，正常BMI,非吸烟患者对PM10浓度最敏感。
■我们的研究结果提供了关于PM10浓度与AECOPD发病率相关的补充科学信息，并作为影响最重要肺活量测定指标的变量，为当地决策者提供了确定空气污染控制措施和卫生服务优先事项所需的信息。
■根据MODIS传感器处理的161张图像和地面空气质量监测站数据，根据气溶胶光学深度（AOD）对PM10浓度进行了预测和验证。收集并分析了2038例AECOPD患者在研究期间的人口统计信息和肺活量指标。使用SPSS软件分析这两类信息之间的关系。
■PM10与FVC呈显著负相关,FVC%,FEV1,FEV1%,FEF25-75,FEV1/FVC,PEF,和FEF25FVC指数(p<0.05)。结果表明，在2014-2018年期间，PM10的年平均浓度从35到52µg/m3不等。回归模型的结果表明，患者的年龄，体重指数（BMI），PM10浓度是影响两个重要肺活量指数的最大变量，FVC%和FEV1%。在研究期间，AECOPD患者的PM10浓度和数量具有相似的模式。妇女团体,74岁以上年龄组，正常BMI,非吸烟患者对PM10浓度最敏感。
■我们的研究结果提供了关于PM10浓度与AECOPD发病率相关的补充科学信息，并作为影响最重要肺活量测定指标的变量，为当地决策者提供了确定空气污染控制措施和卫生服务优先事项所需的信息。
