日本血吸虫病血清学诊断数据变换的新方法  

A novel data transformation method for serologic diagnosis of schistosomiasis japonica

在线阅读下载全文

作  者:屠小明[1] 罗建平[1] 张媛媛[2] 徐进梅[2] 周梅红[1] 郑宇[1] 陈峰[3] 吴观陵[2] 吴海玮[2] 

机构地区:[1]南京医科大学数学与计算机教研室,江苏南京210029 [2]南京医科大学病原生物学系,江苏南京210029 [3]南京医科大学流行病与统计学系,江苏南京210029

出  处:《中国病原生物学杂志》2007年第3期210-212,共3页Journal of Pathogen Biology

基  金:国家十五科技攻关计划项目(No.2004BA718B05);南京医科大学科技发展基金(No.NY04009)

摘  要:目的建立一种日本血吸虫病血清学诊断数据变换的方法。方法血吸虫抗体检测试剂盒检测来自两个现场的血清,并通过I-ODST法进行标准化。使用Stata软件进行统计分析。结果在对诊断数据进行变换前,日本血吸虫病阴性人群与阳性人群抗体水平都不服从正态分布,变换后阳性人群抗体水平服从正态分布,阴性人群抗体水平仍不服从正态分布。因此,考虑对诊断数据作统一变换,使得阳性人群抗体水平服从正态分布,再利用正态分布性质,以阳性人群的抗体水平分布值作为基础确定血清学诊断的临界值。结论本研究建立了一种日本血吸虫病血清学诊断数据变换的方法,使得阳性人群抗体水平服从正态分布,同时提出以阳性人群为基础确定诊断临界值的构想。Objective To establish a new serodiagnostic data transformation method of schistosomiasis japonica. Methods Sera collected in 2 different Schistosoma japonicum (Sj) endemic areas was tested by using a Sj specific IgG antibody detection kit. The data were assessed by Stata. Results Before the proposed transformation, the specific antibody level of either population was not normally distributed, but after applying the transformation formula, the Sj egg positive population was transformed to a normal distribution. As Kato-Katz stool examination method may miss some in- fections, the antibody level of the egg negative population was still not normally distributed after the transformation. Based on the theory of normal distribution, a cutoff value was determined by the antibody level of Sj egg positive population. Conclusion Here we established a novel sero-diagnostic data transformation method, to transform Sj positive population antibody level data into a normal distribution. We also proposed a new method to determine the cutoff value for serodiagnosis of Sj in a population from Sj endemic area.

关 键 词:血吸虫病 日本 诊断 正态分布 数据变换 

分 类 号:R383.24[医药卫生—医学寄生虫学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象