白婧, 施丽飞, 韩喜荣. 2013-2020年北京市海淀区成年人致泻大肠埃希菌流行特征和分型研究[J]. 疾病监测, 2022, 37(1): 77-83. DOI: 10.3784/jbjc.202102260340
引用本文: 白婧, 施丽飞, 韩喜荣. 2013-2020年北京市海淀区成年人致泻大肠埃希菌流行特征和分型研究[J]. 疾病监测, 2022, 37(1): 77-83. DOI: 10.3784/jbjc.202102260340
Bai Jing, Shi Lifei, Han Xirong. Epidemiological characteristics and typing of diarrheagenic Escherichia coli from adults in Haidian district of Beijing, 2013–2020[J]. Disease Surveillance, 2022, 37(1): 77-83. DOI: 10.3784/jbjc.202102260340
Citation: Bai Jing, Shi Lifei, Han Xirong. Epidemiological characteristics and typing of diarrheagenic Escherichia coli from adults in Haidian district of Beijing, 2013–2020[J]. Disease Surveillance, 2022, 37(1): 77-83. DOI: 10.3784/jbjc.202102260340

2013-2020年北京市海淀区成年人致泻大肠埃希菌流行特征和分型研究

Epidemiological characteristics and typing of diarrheagenic Escherichia coli from adults in Haidian district of Beijing, 2013–2020

  • 摘要:
      目的  掌握北京市海淀区成年人致泻大肠埃希菌(DEC)流行特征和脉冲场凝胶电泳(PFGE)分型特点。
      方法  对2013 — 2020年在3家哨点医院就诊的1 961例成年人腹泻患者粪便或肛拭子标本进行DEC检测,对其中66株DEC菌株进行PFGE分型试验。
      结果  成年人DEC检出率为9.54%(187/1 961),产肠毒素大肠埃希菌(ETEC)和肠道集聚性大肠埃希菌(EAEC)检出率较高,分别为4.18%(82/1 961)和3.93%(77/1 961);EAEC中astA/pic基因型别占比最高为79.22%(61/77),ETEC中estIa/estIb基因型别占比最高为84.15%(69/82);不同性别、不同年龄和不同职业DEC检出率差异无统计学意义;28.65%(53/185)的患者出现了发热, 34.59%(64/185)的患者发生呕吐,78.92%(146/185)的患者出现了腹痛;不同年份DEC优势型别不同,DEC检出率较高的月份为6 — 9月;EAEC和肠道致病性大肠埃希菌(EPEC)均未有菌株带型相同或聚集成簇,23株ETEC聚类分析得到19种带型,相似度为4.84%~100.0%。
      结论  近几年DEC检出率有所升高,主要型别为ETEC和EAEC,做好患者流行病学相关信息的收集和分析,建立DEC PFGE分型本地数据库,为今后DEC的防控提供可靠的数据支持。

     

    Abstract:
      Objective  To understand the epidemiological characteristics and pulsed-field gel electrophoresis (PFGE) typing of diarrheagenic Escherichia coli (DEC) isolated from adults in Haidian district of Beijing from 2013 to 2020.
      Methods  Stool samples or anal swabs were collected from 1961 adults with diarrhea in 3 sentinel hospitals for DEC detection. Meanwhile, the 66 strains isolated were used for analyzed for genetic typing by PFGE.
      Results  A total of 187 DEC strains we're detected from 1 961 cases (9.54%). Enterotoxigenic E. coli (ETEC) and enteroaggregative E. coli (EAEC) had higher detection rates of 4.18% (82/1 961) and 3.93% (77/1 961), respectively. The proportion of astA/pic in EAEC and estIa/estIb in ETEC were highest, accounting for 79.22% (61/77) and 84.15% (69/82), respectively. The gender, age and occupation specific differences in DEC detection rate showed no significance. The proportions of patients with fever, vomiting and abdominal pain were 28.65% (53/185), 34.59% (64/185) and 78.92% (146/185) respectively. The predominant types of DEC varied in different years, the detection rate of DEC was high during June–September. No same PFGE patterns or pattern clustering were found for EAEC and Enteropathogenic E. coli (EPEC). A total of 19 PFGE patterns were detected in 23 ETEC strains indicated by cluster analysis. The similarity between these patterns was 4.84%–100.0%.
      Conclusion  The detection rate of DEC increased in recent years, and ETEC and EAEC were predominant. It is necessary to collect and analyze the information about the epidemiological characteristics of diarrhea patients and establish the local database of DEC PFGE pattern to provide reliable data supporting for the prevention and control of DEC infection in the future.

     

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