Şahin Engin, Akıncı Özyürek Berna, Dulkadir Barış
Clinic of Chest Diseases, Ankara Atatürk Chest Diseases and Thoracic Surgery Training and Research Hospital, Ankara, Turkey.
Turkey Statistical Institute, Statistics Unit, Ankara, Turkey.
Tuberk Toraks. 2021 Mar;69(1):21-29. doi: 10.5578/tt.20219903.
Our study aimed to evaluate the relationship between pneumonia, air pollution (sulfur dioxide [SO2] and particulate matter [PM10]) and meteorological data (atmospheric pressure, amount of rainfall, temperature, rate of humidity, sunshine duration and wind velocity).
Our study included 822 of the 826 patients who were admitted to the emergency service of our hospital between August 2016 and July 2017 and who were diagnosed with pneumonia. Four patients whose information was not available were excluded from the study. The data for the patients were obtained retrospectively from the hospital information system and patient emergency files. The meteorological data were obtained from the website of the Ministry of the Environment and Urbanization and from the Directorate General of Meteorology of our city. Daily meteorological data (SO2, PM10, air pressure, temperature, humidity, wind speed and sunshine duration) were compared with the number of daily patients admitted to the emergency department and diagnosed with pneumonia. Statistical analysis was performed using Pearson correlation analysis.
Three hundred and twenty-nine of the patients were female, and 493 were male. A total of 605 inpatients, of whom 106 were in the intensive care unit, were treated in the hospital, while 217 were outpatients. A statistically significant relationship was found between the number of patients with pneumonia and the intensity of SO2 (r= 0.740; p<0.001), atmospheric pressure (r= -0.691; p<0.01), wind velocity (r= 0.777; p<0.001), average humidity rate (r= -0.454; p<005) and sunshine duration (r= 0.475; p<0.05).
We determined that meteorological changes are important risk factors in the development of pneumonia and that reducing air pollution and taking protective measures may decrease the frequency of pneumonia and the mortality rates related to pneumonia.
我们的研究旨在评估肺炎、空气污染（二氧化硫[SO2]和颗粒物[PM10]）与气象数据（大气压力、降雨量、温度、湿度率、日照时长和风速）之间的关系。
我们的研究纳入了2016年8月至2017年7月期间在我院急诊科住院且被诊断为肺炎的826例患者中的822例。4例信息不全的患者被排除在研究之外。患者的数据是从医院信息系统和患者急诊档案中回顾性获取的。气象数据是从环境与城市化部网站以及我市气象总局获取的。将每日气象数据（SO2、PM10、气压、温度、湿度、风速和日照时长）与每日急诊科收治并诊断为肺炎的患者数量进行比较。采用Pearson相关分析进行统计分析。
患者中女性329例，男性493例。共有605例住院患者，其中106例在重症监护病房，在医院接受治疗，217例为门诊患者。发现肺炎患者数量与SO2强度（r = 0.740；p < 0.001）、大气压力（r = -0.691；p < 0.01）、风速（r = 0.777；p < 0.001）、平均湿度率（r = -0.454；p < 0.05）和日照时长（r = 0.475；p < 0.05）之间存在统计学显著关系。
我们确定气象变化是肺炎发生的重要风险因素，减少空气污染并采取保护措施可能会降低肺炎的发病率以及与肺炎相关的死亡率。
