2020年1~3月北京市朝阳区412例监测人群29种呼吸道多病原谱分析  

Analysis on Results of 29 Respiratory Pathogens Nucleic Acid Detection among 412 Cases in Chaoyang District, Beijing from January to March 2020

作　　者：孙灵利 宋衍燕 李丽 郝民 顾琳 张士尧 

机构地区：[1]北京市朝阳区疾病预防控制,北京

出　　处：《医学诊断》2023年第2期139-145,共7页Medical Diagnosis

摘　　要：目的:了解2020年1~3月北京市朝阳区监测人群29种呼吸道病原感染情况。方法:采集412例监测人员呼吸道标本并提取核酸,使用实时荧光定量PCR同时检测29种呼吸道病原体。单因素分析使χ2检验或Fisher确切概率法,检验水准为α = 0.05,统计软件为SPSS 26.0。结果:412份标本中病原体阳性检出率62.38% (257/412),其中细菌、病毒、非典型病原体阳性检出率分别为37.38% (154/412)、21.12% (87/412)、35.92% (148/412)。不同年龄段多病原体检出率具有统计学意义差异,99份标本显示混合感染24.03% (99/412),非典型病原体合并细菌检出率57.58% (57/99)、新型冠状病毒合并其他病原体感染占44.44% (44/99)。结论:北京市朝阳区2020年1~3月412例监测人群29种呼吸道多病原谱以真菌、新型冠状病毒、金黄色葡萄球菌、流感嗜血杆菌、大肠杆菌为主;不同年龄段病原体检出率具有差异;混合感染多非典型病原体合并细菌为主。Objective: To investigate the spectrum of 29 respiratory pathogens in 412 cases of COVID-19 in Chaoyang District, Beijing from January to March in 2020. Methods: I. Nucleic acids were extracted from 412 samples and 29 respiratory pathogens were detected by real-time quantitative PCR. II. SPSS26.0 software was used for univariate analysis, χ2 test or Fisher exact probability method, and the test level was α = 0.05. Results: The detection results of 29 respiratory pathogens from 412 samples showed that the detection rate of positive samples was 62.38% (257/412). The detection rate of bacteria positive samples was 37.38% (154/412). The detection rate of virus positive sam-ples was 21.12% (87/412). The positive rate of atypical pathogens was 35.92% (148/412). There was no difference in the detection rate of multiple pathogens among different genders. The detec-tion rate of multiple pathogens in different age groups was statistically significant. The detection rate of mixed infection was 24.03% (99/412), and the detection rate of atypical pathogens with bacteria ranked the first, with 57.58% (57/99). 2019-nCoV was associated with other pathogens in 44.44% (44/99). Conclusion: There were 29 respiratory pathogens detected in 412 cases of COVID-19 in Chaoyang from January to March 2020, mainly fungi, 2019-nCoV, Staphylococcus aure-us, Haemophilus influenzae and Escherichia coli. The difference of detection rate of pathogens among age groups was significant. Mixed infections are mainly caused by atypical pathogens and bacteria.

关 键 词：北京市朝阳区 混合感染 病原体感染 流感嗜血杆菌 呼吸道病原体 监测人员 细菌检出率 金黄色葡萄球菌 

分 类 号：S85[农业科学—兽医学]