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目的了解韶关地区无偿献血者血液传染性标志物检测阳性状况,为今后献血者的招募方式和策略提供科学依据。方法收集2009-2013年韶关地区无偿献血者资料及血液检测HBs Ag、抗-HCV、抗-HIV和抗-TP结果,按献血者性别、年龄、学历、职业、血型、婚否、献血次数和献血区域等项目分析。结果献血共148 976人份中,总阳性3 347人份,(占2.25%),男性(占2.32%),女性(占2.09%),阳性差异有统计学意义(χ~2=27.17,P<0.05)。年龄段以46~55岁阳性率最高,为2.61%,差异有统计学意义(χ~2=52.17,P<0.05),以梅毒阳性(1.15%)最高。职业以军人、医务人员、学生及公务员等群体阳性较低(平均1.31%),农民阳性率最高(3.73%),差异有统计学意义(χ~2=184.31,P<0.05)。学历与阳性关系本科(及以上)阳性最低(1.29%),小学文化阳性最高(4.67%),说明学历与阳性率有明显差异。血型与阳性率差异无统计学意义(χ~2=1.33,P>0.05)。已婚与未婚阳性率差异无统计学意义(χ~2=2.86,P>0.05)。献血次数与阳性关系笫1次献血阳性率4.32%,笫2次献血阳性率1.77%,献血≥3次阳性率0.86%,说明献血次数与阳性率差异有统计学意义(χ~2=298.88,P<0.05)。抗-HIV初筛阳性202人份,经市疾控中心确认HIV阳性22例,确认阳性率1.48/万。结论根据当地实际情况规范做好无偿献血宣传工作,尽量做到有高危行为的人在采血前淘汰,从低危人群中招募献血者,建立高素质和固定献血队伍,是保障临床用血安全的基础。
Objective To understand the positive detection of blood-borne markers of blood donors in Shaoguan area and to provide a scientific basis for future recruitment methods and strategies of blood donors. Methods The data of blood donors and anti-HCV, anti-HCV, anti-HIV and anti-TP in blood collected from 2009 to 2013 in Shaoguan were collected. According to the blood donors’ sex, age, education level, occupation, blood type, Blood donation area project analysis. Results A total of 148 976 blood donors were donated, with a total of 3 347 positives (2.25%), male (2.32%) and females (2.09%), the positive difference was statistically significant (χ ~ 2 = 27.17, P <0.05). The highest positive rate was 46.65 years old in age group, with a significant difference of 2.61% (χ ~ 2 = 52.17, P <0.05). The highest prevalence was syphilis (1.15%). The occupational ranks of soldiers, medical workers, students and civil servants were lower (average 1.31%) and farmer (3.73%), the difference was statistically significant (χ ~ 2 = 184.31, P <0.05). Degree and positive relationship Undergraduate (and above) the lowest positive (1.29%), the highest positive primary school culture (4.67%), indicating that there was a significant difference between the qualifications and the positive rate. There was no significant difference between blood type and positive rate (χ ~ 2 = 1.33, P> 0.05). There was no significant difference in the positive rates of married and unmarried (χ ~ 2 = 2.86, P> 0.05). The positive rate of blood donation was 4.32%, the positive rate of blood donation was 1.77%, the positive rate of blood donation≥3 was 0.86%, indicating that there was significant difference between the number of donations and the positive rate (χ ~ 2 = 298.88, P <0.05). HIV-positive screening of 202 were positive, confirmed by the municipal CDC HIV positive in 22 cases, confirmed the positive rate of 1.48 / million. Conclusions According to the actual situation in our country, we should do a good job of blood donation and blood donation to try our best to eliminate those who have high-risk behaviors before blood sampling, to recruit blood donors from low-risk groups and to establish a high-quality and fixed blood donation team to ensure the safety of clinical blood use basis.