目的应用实时荧光定量聚合酶链反应(PCR)快速检测技术对镇江地区流感哨点医院流感样病例定期检测,为预警疫情提供科学依据。方法每周采集镇江市3家哨点医院的流感样病例和暴发疫区现患病例的咽拭子标本以及部分流感样病例血清标本。应用实时荧光定量PCR方法进行核酸检测,对部分流感样血清标本用血凝抑制试验方法进行H1亚型抗体检测,并对检测结果进行趋势分析。结果 2229份哨点医院采集的标本中检测出流感核酸阳性标本750例,其中423份为新甲型H1N1,293份为H3N2,8份为H1N1,26份为B型;356份暴发疫情采集的标本中检测出流感核酸阳性标本165例,其中112份为新甲型H1N1,51份为H3N2,2份为B型。哨点医院流感时间趋势,2009年6～7月以B型流感为主,8～9月转变为H3N2型流感流行,10～12月新甲型H1N1普遍流行。暴发疫情6月份出现首例新甲型H1N1,7月和8月新甲型H1N1呈现局部暴发,9～12月新甲型H1N1病例显著增加。362份流感样病例检测出H1亚型抗体阳性标本85例,阳性率为23.48%。结论应用哨点医院的流感样病例检测结果,可预测流感的变化趋势,提前采取控制措施。 Objective To detect influenza-like cases in sentinelly sentinel hospitals in Zhenjiang area by real-time fluorescence quantitative polymerase chain reaction (PCR) rapid detection technique, and provide a scientific basis for the early warning of the outbreak. Methods Throat swab specimens from three sentinel hospitals in Zhenjiang City and throat swabs from outbreaks of endemic areas and serum samples from some influenza-like cases were collected weekly. The real-time PCR method was used to detect the nucleic acid. The H1 subtype antibody was detected by hemagglutination inhibition test on some influenza-like serum samples. The trend of the detection results was analyzed. Results A total of 750 samples of influenza nucleic acid were detected in 2229 sentinel hospitals, of which 423 were new type A H1N1, 293 were H3N2, 8 were H1N1 and 26 were type B. 356 outbreaks were collected Samples were detected in the positive samples of influenza nucleic acid in 165 cases, of which 112 were new H1N1, 51 were H3N2, 2 were B-type. Sentinel Hospital flu time trend, 2009 June to July mainly B-type influenza, 8 to September into a H3N2-type influenza pandemic, 10 to 12 months, the new pandemic H1N1. The outbreak of the first case of new H1N1 in June appeared in July, July and August, the new outbreak of H1N1 showed partial, 9 ~ December new cases of H1N1 increased significantly. Of the 362 influenza-like cases, 85 were positive for H1 subtype antibody, with a positive rate of 23.48%. Conclusion The results of influenza-like illness detection in sentinel hospitals can predict the trend of influenza and take control measures in advance.