Abstract
赵高余,陈小萍,张永振.埃立克体和埃立克体病[J].Chinese journal of Epidemiology,2013,34(6):642-646
埃立克体和埃立克体病
Ehrlichia bacteria and ehrlichiosis
Received:March 06, 2013  
DOI:
KeyWord: 埃立克体  埃立克体病
English Key Word: Ehrlichia bacteria  Ehrlichiosis
FundProject:国家自然科学基金
Author NameAffiliationE-mail
ZHAO Gao-yu  zhangyongzhen@icdc.cn 
CHEN Xiao-ping   
ZHANG Yong-zhen 
State Key Laboratory for Irfectious Disease Prevention and Control
,National Institute for Communicable Disease Control and Prevention,Chinese Center for Disease Control and Prevention,Beijing 102206,China
 
 
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Abstract:
      埃立克体属(Ehrlichia)细菌属于α-变形菌纲(α-Proteobacteria)立克次体目(Rickettsiales)的无形体科(Anaplasmataceae).埃立克体在自然界中借助节肢动物媒介和脊椎动物宿主而存在,能引起人或动物埃立克体病.1925年世界首次发现引起牛羊等反刍动物水胸病(heartwater disease)的病原体为立克次体类病原体,并命名为反刍动物立克次体(Rickettsia ruminantium)[1].1991年首次报道埃立克体能对人致病[2].在过去的30多年中,随着PCR检测方法的完善与测序技术的发展,新的埃立克体在世界各地不断被发现,更多的国家与地区证实了埃立克体及埃立克体病的存在.随着社会生态环境的改变,人类与节肢动物及野生动物的接触增加,由新埃立克体引起的新发传染病时有报道[3].为此本文对近年来国内外在埃立克体病原学、流行病学、致病性方面的研究进展综述如下.
English Abstract:
      objective To analyze the risk factors related to survival time of advanced non- small cell lung cancer(NSCLC)and to establish a prediction model on survival time.Methods From 2004-2006.1 84 patients with advanced NSCLC were enrolled in the Affiliated Hospital to the Nantong Midical College.Related risk factors were analyzed.using the Buckley-James model.Both actual and predicted survival time were compared by log.rank test.Results Through Buckley-James model analysis,data showed that loS,clinical stage,treatment and pre-treatment hemoglobin were main influencing factors on survival time.Regression equation appeared to be InMONTH= 0.0108 KPS+0.0238 HB+0.4614 IIIb+0.8027Ⅲa+0.3869(radiotherapy+chemotherapy)+0.507 (radiotherapy+operation)+0.6082(chemotherapy+operation)一2.098.There was no statistical difference between the prediction and the actual models of survival time by log-rank test(P----0.575> O.05).Conclusion KPS,clinical stage,treatment and pre.treatment hemoglobin might be associated. Both the prognosis of patients with advanced NSCLC and the prediction model seemed to have practical signiflcances.
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