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某市级医院呼吸科门诊冬季患者疾病结构与空气质量相关性
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摘要
目的和意义
     近年来,随着中国经济水平的高速发展,空气污染问题越来越突出。尤其是2012年冬季北方大面积的雾霾天气,更引起了人们对空气质量的关注。呼吸系统每天吸入和呼出大量气体,因此呼吸系统疾病与空气环境和气象变化之间可能存在一定的关联。系统收集中国北方某市级医院2012年冬季呼吸科门诊就诊患者的病历资料和当地空气质量与气象条件资料,分析呼吸系统疾病门诊患者就诊的主要临床症状和初步诊断的疾病、空气质量和天气变化特征和规律,探讨其相互联系,为出现类似空气质量和天气状况时如何预防和诊治呼吸系统疾病提供一定参考依据。
     方法
     1系统收集2012年11月1日-2013年02月28日某三级甲等医院呼吸科门诊所有患者病历记录资料;并在当地环境保护部门和气象部门分别收集同期空气质量和天气气象状况资料。
     2对上述资料分别进行整理。计算该时间段呼吸系统疾病门诊患者总就诊人数,就诊时出现主要呼吸系统症状(咳嗽、咳痰、气喘、胸痛、咯血、发热、咽部不适)的人数,门诊初步诊断疾病病种(上呼吸道感染、鼻窦炎、支气管炎、支气管哮喘、慢性阻塞性肺疾病(COPD).支气管扩张、肺炎、胸膜炎、阻塞性睡眠呼吸暂停低通气综合征(OSAHS)肺部肿块)的人数。同期当地环境保护部门公布的空气质量报告,分析空气污染指数(API)的数值变化,出现不同空气质量的天数。同期气象部门公布的气象状况每日报表资料,分析气温的变化,出现阴晴雨雪雾的天数,出现大于3级风风速的天数。
     3将API和气温与呼吸科门诊的患者人数、患者主要症状和疾病诊断进行相关性分析。
     4统计分析方法。使用SPSS12.0软件进行数据录入与统计分析,检验水准α取0.05。
     结果
     1临床资料2012年11月1日~2013年02月28日门诊患者总数为2052人次,年龄12~91(46.6±6.3)岁,男女比为1.02:1。呼吸科门诊患者就诊症状前3位为咳嗽、咳痰、气喘。呼吸科门诊初步诊断疾病病种前6位为上呼吸道感染、鼻窦炎、支气管炎、支气管哮喘、COPD、肺炎。
     2空气质量空气质量最好的月份为11月,最差的月份为1月。
     3气象温度最高的月份为11月,最低的月份为1月。
     4相关性分析API分别和咳嗽、咳痰和气喘进行相关性分析,发现API与咳嗽,pearson相关系数为0.146,P>0.05; API与咳痰、气喘pearson相关系数分别为0.287和0.277,其P值均<0.01。API与上呼吸道感染、支气管炎、支气管哮喘和肺炎相关性分析,得出pearson相关系数分别为0.184、0.251、0.301和0.227,P<0.05; API与鼻窦炎和COPD相关性分析,发现pearson相关系数分别为0.159和0.154,P>0.05。气温与就诊人数进行相关性分析,相关系数为-0.224,P>0.05;将气温与滞后1天和3天就诊人数进行偏相关性分析,相关系数为-0.122和-0.193,P>0.05。将气温分别与咳嗽、咳痰和气喘进行相关性分析,气温与咳痰pearson相关系数为-0.191,P<0.05;气温与咳嗽、气喘相关性分析,发现pearson相关系数分别为-0.096和-0.179,P>0.05。将气温与上呼吸道感染、支气管、肺炎、COPD相关性分析,pearson相关系数分别为-0.169、-0.077,-0.122和-0.107,P>0.05;气温与鼻窦炎和支气管哮喘pearson相关系数分别为-0.194和-0.383,P<0.05。
     结论
     1该地区冬季呼吸科门诊患者就诊时呼吸系统疾病的主要症状是咳嗽,初步诊断以鼻窦炎和上呼吸道感染为最多。
     2该地区冬季呼吸道疾病的就诊人数与空气质量有关,呼吸系统疾病门诊患者总就诊人数随着空气污染指数增加而增多。
Objective and Significance
     In recent years, with the rapid development of China's economy, the problem of air pollution becomes increasingly evident. The fog and haze which blanketed the most parts of northern China in the winter of2012, has made people pay more attention to air quality. As the respiratory system performs gas exchange and we inhale and exhale large amounts of gas every day, the occurrence of respiratory diseases is closely related with air conditions and meteorological changes. In order to explore the effects of ambient air quality and meteorological changes on the main clinical symptoms and diagnoses of respiratory diseases, we collected the medical records of outpatients with respiratory diseases from a first-class hospital in a northern city of our country in the winter of2012, combined with the local air quality and meteorological data. The results of the study can provide reference for the prevention and treatment of respiratory diseases under the similar air quality and climate conditions.
     Method
     1The medical records of outpatients with respiratory diseases from a first-class hospital, local air quality and meteorological data from the local environmental protection department and the meteorological departments were collected from November1,2012to February28,2013.
     2We analyse these data and find out the changes respectively. We analyse the total number of respiratory outpatients during the certain period, the main respiratory symptoms (cough, expectoration, wheeze, chest pain, hemoptysis, fever, pharyngeal discomfort) and the number of each primary diagnosis (cold, sinusitis, bronchitis, bronchial asthma, chronic obstructive pulmonary disease (COPD), bronchiectasis, pneumonia, pleurisy, obstructive sleep apnea hypopnea syndrome (OSAHS), pulmonary mass.). We analyse the change of the air pollution index (API) value as well as the number of days of different air quality according to the air quality reports released by the local environmental protection department in the corresponding period. Analyse the change in temperaturem,the number of days of various weather (cloudy, sunny, rainny, snowy, hazy) and the number of windy days (wind speed>12mph) according to the daily meteorological data released by the meteorological department in the corresponding period.
     3We analyse the correlations between the API and the number of respiratory outpatients, the main respiratory symptoms, the diagnoses of respiratory diseases. Analyze the correlations between temperature and the number of respiratory outpatients, the main respiratory symptoms, the diagnoses of respiratory diseases.
     4Statistical analysis Using SPSS12.0software for data entry and statistics analysis, inspection level takes0.05alpha.
     Result
     1Clinical data A total of2052overall admissions for respiratory diseases occured in the study period which is from November1,2012to February28,2013. The age was12-91(46.6±6.3) years and the ratio of males to females was1.02:1.2. The top three symptoms of respiratory outpatients were cough,expectoration,wheeze. The top six primary diagnoses of respiratory outpatients were Upper Respiratory Tract Infection, sinusitis, bronchitis, bronchial asthma, COPD and pneumonia.
     2Air Quality The best month of air quality was November, and the worst was January.
     3Meteorological data The highest month of temperature was November, and the lowest was January.
     4Correlation analysis API with cough, expectoration, wheeze do Correlation analysis respectively, the analysis showed that Pearson correlation coefficient of API with cough was0.146, P>0.05; and Pearson correlation coefficient of API with expectoration was0.287, Pearson correlation coefficient of API with wheeze was0.227, P<0.001. API with Upper Respiratory Tract Infection, sinusitis, bronchitis, bronchial asthma, COPD and pneumonia do Correlation analysis respectively, the analysis showed that Pearson correlation coefficient of API with Upper Respiratory Tract Infection,bronchitis, bronchial asthma and pneumonia were0.184,0.251,0.301and0.227, P<0.05. API with sinusitis and COPD do Correlation analysis respectively, the analysis showed that Pearson correlation coefficient of API with sinusitis and COPD were0.159and0.154, P>0.05. temperature with patients do Correlation analysis respectively, the analysis showed that Pearson correlation coefficient of temperature with patients was-0.224, P>0.05. temperature with cough, expectoration, wheeze do Correlation analysis respectively, the analysis showed that Pearson correlation coefficient of temperature with expectoration was-0.191, P<0.05; The analysis showed that Pearson correlation coefficient of temperature with cough and wheeze were-0.096and-0.179, P>0.05. temperature with Upper Respiratory Tract Infection, bronchitis,COPD and pneumonia do Correlation analysis respectively, the analysis showed that Pearson correlation coefficient were-0.169、-0.077,-0.122and-0.107, P>0.05; the analysis showed that Pearson correlation coefficient of temperature with sinusitis and bronchial asthma were-0.194and-0.383,P<0.05.
     Conclusion
     1The most common symptom of respiratory outpatients is cough and the primary diagnoses are mostly sinusitis and cold in winter in the area.
     2The incidence of respiratory diseases is associated with air quality and weather. The total number of respiratory outpatients grow with the increase of air pollution index in winter in the area.
引文
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    [23]Ning Y, Imrich A, Goldsmith CA,et al.Alveolar macrophage cytokine production in response to our patients in vitro:role of endotoxin [J] J Toxicol Environ Health A,2000,59:165-180.
    [24]Elder A, Oberdorster G.Translocation and effects of ultrafine particles outside of the lung [J]. Clin Occup Environ Med.2006,5:785-796.
    [25]Li Z, Hyseni X,Carter JD, et al.Pollutant particles enhanced H2O2 production from NAD(P)H oxidase and mitochondria in human pulmonary artery endothelial cells [J]. Am J Physiol Cell Physiol,2006.291:C357-C365.
    [26]Boutten A, Goven D, Boczkowski J,et aLOxidative stress targets in pulmonary emphysema: focus on the Nrf2 pathway [J]. Expert Opin Ther Targets,2010,14:329-346.
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