摘要
目的通过统计分析红细胞类、血浆类制品报废原因与献血人群的相关性,以更好地指导献血招募工作,降低血液报废率,避免血液浪费。方法统计2011～2012年红细胞类、血浆类制品的报废原因,其中红细胞类制品按ALT含量升高、传染性标志物阳性、其他共三类原因统计;血浆类制品按脂肪血浆、其他共两类原因统计。分析报废主要原因与献血人群的性别、职业、年龄的相关性。结果 2011～2012年红细胞类制品报废原因中ALT含量升高占60.51%,传染性标志物阳性占21.87%,其他占17.62%;血浆类制品报废原因中脂肪血浆占97.36%,其他占2.64%。报废主要原因与献血人群的性别、职业有显著的相关性(P<0.05),与年龄无明显相关性(P>0.05)。结论血液报废与献血人群的关系密不可分,女性、学生人群献血后报废率低,建议扩大对女性、学生人群的献血招募,同时在对男性、非学生献血者进行献血招募时应加强对其进行宣教、健康征询等工作,从而降低血液报废率,避免血液浪费。
Objective To provide better guidance for blood donation recruitment and to reduce the rate of blood scrap through the analysis of the correlation between red blood cell type,plasma type,and the blood donor population.Methods Undergone statistical study on the blood scrap due to red cell and plasma from 2011 to 2012,among which,blood scrap caused by the red cell were mainly for the increased of ALT,the positive of infective marker and others while scrap caused by plasma were for fat plasma and others.Analysis on the correlation between the scrap causes and the donors’ gender,career and age information was mainly conducted.Results From 2011 to 2012,for blood scrap due to the red cell,60.51% was for the increased of ALT,21.87% was for the positive of infective marker while 17.62% was for others.And for blood scrap due to plasma,97.36% was for fat plasma and 2.64% was for others.The correlative analysis between the main blood scrap reason and donors indicates that there was significant difference（P＆lt;0.05） between gender,occupation while there was no significant difference between the ages（P＆gt;0.05）.Conclusion There is a close correlation between blood scrap and the types of blood donors.Blood from female and students has lower scrap rate and it is suggested that requirement of blood donation from female and students should increase,and strengthen the health education and consultancy to male and non-student donors,so as to reduce the blood scrap rate and avoid waste of blood.
出处
《中国当代医药》
2013年第23期170-171,173,共3页
China Modern Medicine
关键词
南海区
血液报废
献血人群
相关性
Nanhai district
Blood scrap
Blood donor population
Correlation
