摘要
Objective To understand the characteristics relating to the etiology and complications of hand,foot and mouth disease(HFMD)based on data from the pilot National Sentinel Surveillance(NSS)program so as to explore the feasibility,advantages and disadvantages of the NSS.Methods Data were extracted from the NSS system,conducted in 11 provinces of China from November 2015 to October 2016.Characteristics regarding the etiology,complications of HFMD and factors related to the positive rates of HFMD specimens were analyzed under the logistic regression method by SPSS 20.0 software.Results A total of 4783 specimens were collected,including 3390 from mild,1390 from severe and 3 from death cases.The overall positive rate was 81.43%(3895/4783).Other enteroviruses(non EV71/Cox A16 enteroviruses)appeared the major serotype(52.68%,1482/2813)for mild infection of the disease while EV71 was for the severe cases(65.31%,706/1081).The serotype spectrum revealed by the pilot NSS was almost identical with the existing surveillance system.Other enteroviruses tended to infect younger children(χ2=130.17,P<0.001)than EV71 and Cox A16,in China.The multivariate logistic regression results showed that a higher positive rate was associated with specimens which were collected from males,at children'hospitals,in peak seasons,timely and in stools.The positive rates presented downwarding trends with the extension of the onset-sampling interval(χ2=14.47,P<0.001 in stool specimen;χ2=31.99,P<0.001 in throat swab;χ2=24.26,P<0.001 in anal swab).Aseptic meningitis,non-brainstem encephalitis and brainstem encephalitis appeared to be the top three complications of both EV71-associated and other enteroviruses-associated severe HFMD cases.Conclusion Factors as gender,season/place/timeliness of specimen collection,and types of hospital all appeared independently influence the positive rates.NSS seems feasible to be used as an alternative or supplement tool to the existing surveillance program in China.
作者
ZHANG Zhong
张钟(Nanjing Municipal Center for Dis Cont & Prev)