济南地区无偿献血者血液检测指标阳性模式调查分析

目的：调查济南地区无偿献血者中血液指标ALT、HBsAg、抗-HCV、抗-TP阳性模式种类与分布,探讨彼此的相关程度,寻找有效的筛检模式,为筛检献血者提供理论数据支持,保证血液安全。方法：调查2009年75078例济南地区无偿献血者血液检测指标数据,对阳性模式进行统计分析,统计学方法采用χ2检验。结果：总阳性人数为4603例,其中ALT阳性3511例,HBsAg阳性522例,抗HCV阳性404例,抗-TP阳性166例,血液指标阳性模式共有11种,在ALT阳性模式中,ALT单项阳性率97.93%,ALT与HBsAg双项阳性率1.06%,ALT与抗-HCV双项阳性率0.61%;HBsAg阳性模式中HBsAg单项阳性率92.55%,抗-HCV阳性模式中抗-HCV单项阳性率93.3%。结论：ALT与HBsAg关联程度强于ALT与抗-HCV（χ2=3.31,P〈0.05）,血液筛检ALT与HBsAg仍是重点,加强献血前的快速筛检可以有效降低复检阳性率。

Investigation and study on positive model in blood donors in Jinan region

Objective：To investigate the positive model types and distribution about blood index as ALT,HBsAg,anti-HCV and anti-TP in blood donors in Jinan region,study their correlation level, seek for an effective screening model to have theoretical data support for blood donor selection in order to have a better guarantee for blood using safety. Method：75078 blood donors’ data of blood index in Jinan region were investigated and statistically analyzed for the positive model using χ2. Result：In 2009,the total number of positive ones of 75 078 blood donors was 4603,of which the ALT,HBsAg,anti- HCV,and anti-TP positive number was 3 511,522,404 and 166 , respectively. There were 11 kinds of positive models of blood index. In ALT positive model,the ALT single positive rate was 97.93%,ALT and HBsAg double positive rate was 1.06%,ALT and anti- HCV double positive rate was 0.61%.In HBsAg positive model,HBsAg single positive rate was 92.55 %.In anti- HCV positive model,anti- HCV single positive rate was 93.3%. Conclusion：The correlation level between ALT and HBsAg was better than that between ALT and anti-HCV （χ2=3.31,P0.05）. Therefore, blood detection of ALT and HBsAg are still important. Quick screening before blood donation can effectively decrease the positive rate in re-detection.