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中文题名:

 喀什地区急性呼吸道感染常见病毒病原学调查分析    

姓名:

 张素杰    

学号:

 20182114072    

学科代码:

 100208    

学科名称:

 临床检验诊断学    

学生类型:

 硕士    

院系:

 医学院    

研究方向:

 临床分子生物学诊断    

第一导师姓名:

 邹小广    

第一导师单位:

 喀什地区第一人民医院    

完成日期:

 2021-06-06    

外文题名:

 Investigation and analysis of common virus etiology of acute respiratory infections in Kashi area    

中文关键词:

  急性呼吸道感染 ; 呼吸道病毒 ; 病原学 ; RT-qPCR ; 重症肺炎    

外文关键词:

  Acute respiratory infection ; Respiratory virus ; Etiology ; RT-qPCR ; Severe pneumonia    

中文摘要:

目的:探究喀什地区急性呼吸道感染(Acute respiratory infection, ARI)常见病毒性病原体病原谱构成,为临床治疗及药物的选择提供一定的循证学依据;了解本地区急性呼吸道感染病毒流性特征及与其地区的差异 ;并针对重症肺炎患者的个人一般信息及实验室检查资料进行统计分析,为重症肺炎患者的临床诊疗及预后提供参考。

方法:选取2019年11月至2020年10月于喀什地区第一人民医院因急性呼吸道感染就诊的患者以及来自包括泽普县、疏勒县、疏附县人民医院等来自喀什地区的共12个县医院的患者,采集咽拭子标本,采用实时荧光定量聚合酶链式反应法(Real Time Quantitative Polymerse Chain Reaction, RT-qPCR)检测六种常见呼吸道病毒:甲型流感病毒(Influenza A virus, Flu A)、乙型流感病毒(Influenza B virus, Flu B)、呼吸道合胞病毒(Respiratory Syncytial Virus, RSV)、 腺病毒(Adenovirus, ADV)、副流感病毒(Human parainfluenza virus, HPIVs)、肠道病毒(Human Enterovirus, HEV)核酸阳性率,分析不同年龄、季节和地区急性呼吸道感染相关病毒核酸检出情况,绘制本地区急性呼吸道感染常见病毒病原谱;同时收集所有病例的临床资料及入院首次实验室检查资料进行统计分析,建立重症肺炎预测模型。

结果:1.2019年11至2020年10月期间共检测喀什地区急性呼吸道感染病例1873例,病毒总体检出率为24.13%,六种病毒检出率由高到低依次是:Flu A(8.38%)、RSV(7.85%)、HEV(4.97%)、ADV(3.90%)、HPIVs(1.44%)、Flu B(0.48%)。2.纳入的1873例ARI病例中,成人(≥14岁)463例,病毒无性别分布差异(P>0.05)。3.六种病毒在儿童中的总体检出率(26.88%)高于成人(15.77%)。儿童中病毒检出率最高的是RSV(9.50%),成人中病毒检出率最高的是Flu A(9.07%),不同年龄层病原构成不尽相同。4.急性呼吸道感染病毒分布呈现一定的季节性,病毒感染高峰季多为冬季。5.在喀什地区大部分各县市中检出率最高的病毒均为Flu A,但岳普湖县、巴楚县、塔县检出率最高的病毒为RSV,泽普县检出率最高的病毒为HEV。6.维吾尔族和汉族中检出率最高的病毒均为Flu A(9.02%和6.05%)。7.单因素分析中,重症肺炎发生的影响因素为∶民族、年龄、存在先心病、WBC计数、NE%、LY%、PCT水平7个因素,与其他基础疾病(贫血、哮喘、营养不良)、CRP水平、 ESR水平、不同类型病毒感染无关;多因素回归分析中,WBC、NE%、年龄<3岁、患有先心病是重症肺炎发生的危险因素。8.最终以是否患有先心病、年龄是否<3岁、WBC、NE%作为联合预测因子建立重症肺炎预测模型,AUC为0.741(95%CI∶0.685-0.797),约登指数为0.410,敏感性为0.53,特异性为0.88,此模型对于重症肺炎的诊断有一定的预测价值。

结论:1.喀什地区急性呼吸道感染常见病原体主要为Flu A和RSV。2.不同年龄、不同季节对应的呼吸道病原谱不同。呼吸道病毒总体检出率∶儿童高于成人,冬季高于其他季节。3.联合年龄、WBC、NE%和存在先心病建立的预测模型对于重症肺炎的诊断预测有一定的参考价值。

外文摘要:

Objectives: By exploring the pathogen spectrum of acute respiratory infection virus in Kashgar area, we are aiming at providing evidence for clinical diagnosis and treatment, and describing the epidemiological characteristics of the virus in Kashgar area. Analyze the general information and laboratory datas of patients with severe pneumonia, to provide reference for clinical diagnosis, treatment and prognosis of patients with severe pneumonia.

Methods: Selected patients with acute respiratory infection who have admitted to the First People's Hospital of Kashgar and other surrounding county hospitals, including Zepu County, Shule County, Shufu County, and other counties of Kashgar from November 2019 to October 2020, collected patients' throat specimens. And real-time quantitative polymerse chain reaction (RT-qPCR) was used to detect six kind of viruses, including : Influenza A virus (Flu A), Influenza B virus (Flu B), respiratory syncytial virus (RSV), adenovirus (ADV), Human parainfluenza virus (HPIVs), Human Enterovirus, (HEV). We analyzed the positive rate of the virus among different regions and seasons, to draw the spectrum of the virus of acute respiratory infections in this region. We aslo collected and analyzed the related clinical and laboratory examination databases to establish a predictive model of severe pneumonia.

Results:1.From November 2019 to October 2020, 1873 cases of acute respiratory infections in Kashgar were detected, and the overall positive rate was 24.13%. The positive rates of the six viruses in descending order were: Flu A (8.38%), RSV (7.85%), HEV (4.97%), ADV (3.90%), HPIVs (1.44%), Flu B (0.48%). 2.Among the 1873 ARI cases, 463 were adults (≥14 years old) and 1410 were children (< 14 years old). There was no gender difference in virus distribution (P > 0.05). 3. The positive rate of six kind of virus in children (26.88%) was higher than that in adults (15.77%). RSV has the highest positive rate in children (9.50%) and Flu A has the highest positive rate in adults (9.07%). The composition of pathogens was different in different age groups. 4.The spread of acute respiratory virus presented certain seasonal characteristics. The peak season was winter. 5. In Kashgar, Flu A is the virus with the highest positive rate in most region in Kashgar area,but RSV was the most common virus in Yuepuhu county, Bachu county and Ta county, while HEV was the most common virus in Zepu county. 6. The highest positive rate was Flu A (9.02% and 6.05%) in Uygur and Han. 7. In univariate analysis, there were 7 factors which were ralated the severity of pneumonia,including nationality, age, presence of congenital heart disease, WBC count, NE% , LY% , PCT level, but it was not related to other basic diseases, such as anemia, asthma and malnutrition, and CRP level, ESR level and different types of virus infection. In multivariate regression analysis, there were four risk factors of severe pneumonia ,including WBC, NE%, whether were less than 3 years old, congenital heart disease. 8.Finally, the severe pneumonia prediction model was established based on whether the patients had congenital heart disease, whether they were less than 3 years old, WBC and NE%. AUC was 0.741 (95% CI: 0.685-0.797), Youden index was 0.410, sensitivity was 0.53, specificity was 0.88. This model has certain predictive value for the diagnosis of severe pneumonia.

Conclusion: 1.Flu A and RSV were the common pathogens of acute respiratory tract infection in Kashgar area. 2.The pathogen spectrum of respiratory tract was different among different ages and seasons. Total respiratory virus positive rate: higher in children than adults, higher in winter than other seasons. 3.The prediction model combined with age, WBC, NE% and the presence of congenital heart disease has a certain reference value for the diagnosis and prediction of severe pneumonia.

参考文献:

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开放日期:

 2021-06-06    

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