Prevalence and Residual Risk of HIV in Volunteer Blood Donors of Zhejiang Province, China, from 2018 to 2022

Hong Zhu, Wei Ding, Wenjuan Han, Xiaofan Zheng, Yiqing Hu, Jie Dong, Yaling Wu, Danxiao Wu, Jinhui Liu, Faming Zhu
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The HIV antibody or antigen and HIV RNA were detected using enzyme-linked immunosorbent assay and NAT, respectively. The HIV residual risk transmission was calculated using the incidence or window period model. <i>Results</i>. A total of 3,375,678 voluntary blood donors were detected, revealing an HIV prevalence of 9.92/100000. The HIV prevalence of blood donors in 12 blood services in Zhejiang Province was 6.11, 6.98, 7.45, 8.21, 8.36, 8.94, 9.04, 9.66, 9.73, 10.22, 11.80, and 12.47 per 100000 donors, without statistically significant difference observed among the services (<span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"></path></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 21.921 11.7782\" width=\"21.921pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"></path></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"></path></g></svg>).</span></span> The HIV prevalence of males (15.49/100000) was significantly higher compared to females (1.95/100000; <span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-113\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"></path></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 21.921 11.7782\" width=\"21.921pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"><use xlink:href=\"#g113-54\"></use></g></svg>).</span></span> There was an insignificant difference in HIV prevalence among blood donors of all different age groups (<span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-113\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"><use xlink:href=\"#g117-92\"></use></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 21.921 11.7782\" width=\"21.921pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"><use xlink:href=\"#g113-54\"></use></g></svg>),</span></span> but the HIV prevalence in the 26–35 age group and 18–25 age group was significantly higher compared to the 36–45 age group (<span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-113\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"><use xlink:href=\"#g117-91\"></use></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 21.921 11.7782\" width=\"21.921pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"><use xlink:href=\"#g113-54\"></use></g></svg>).</span></span> The difference in HIV prevalence between first-time blood donors (13.65/100,000) and repeat blood donors (6.78/100,000) was statistically significant (<span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"-0.0498162 -8.34882 18.973 11.7782\" width=\"18.973pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,0,0)\"><use xlink:href=\"#g113-113\"></use></g><g transform=\"matrix(.013,0,0,-0.013,11.342,0)\"><use xlink:href=\"#g117-91\"></use></g></svg><span></span><span><svg height=\"11.7782pt\" style=\"vertical-align:-3.42938pt\" version=\"1.1\" viewbox=\"22.555183800000002 -8.34882 21.921 11.7782\" width=\"21.921pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g transform=\"matrix(.013,0,0,-0.013,22.605,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,28.845,0)\"><use xlink:href=\"#g113-47\"></use></g><g transform=\"matrix(.013,0,0,-0.013,31.809,0)\"><use xlink:href=\"#g113-49\"></use></g><g transform=\"matrix(.013,0,0,-0.013,38.049,0)\"><use xlink:href=\"#g113-54\"></use></g></svg>).</span></span> From 2018 to 2022, the HIV residual risk in blood transfusion transmission was 0.266/100000. <i>Conclusion</i>. The prevalence of HIV among blood donors in Zhejiang Province, China, is associated with age, gender, and times of blood donation. The HIV residual risk in blood transfusion transmission remains low in the province, and increasing the rate of repeat blood donors is beneficial to improve blood safety.","PeriodicalId":501415,"journal":{"name":"Canadian Journal of Infectious Diseases and Medical Microbiology","volume":"38 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Journal of Infectious Diseases and Medical Microbiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2024/4749097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Background. Blood safety levels have been significantly improved since the implementation of nucleic acid amplification technology (NAT) testing for blood donors. However, there remains a residual risk of transfusion transmission infections. This study aimed to evaluate the prevalence of HIV and its residual risk transmission among volunteer blood donors of Zhejiang Province, China, for five years after NAT implementation. Materials and Methods. All specimens and information were collected from voluntary unpaid donors at all blood services in Zhejiang Province, China, from January 2018 to December 2022. The HIV antibody or antigen and HIV RNA were detected using enzyme-linked immunosorbent assay and NAT, respectively. The HIV residual risk transmission was calculated using the incidence or window period model. Results. A total of 3,375,678 voluntary blood donors were detected, revealing an HIV prevalence of 9.92/100000. The HIV prevalence of blood donors in 12 blood services in Zhejiang Province was 6.11, 6.98, 7.45, 8.21, 8.36, 8.94, 9.04, 9.66, 9.73, 10.22, 11.80, and 12.47 per 100000 donors, without statistically significant difference observed among the services (). The HIV prevalence of males (15.49/100000) was significantly higher compared to females (1.95/100000; ). There was an insignificant difference in HIV prevalence among blood donors of all different age groups (), but the HIV prevalence in the 26–35 age group and 18–25 age group was significantly higher compared to the 36–45 age group (). The difference in HIV prevalence between first-time blood donors (13.65/100,000) and repeat blood donors (6.78/100,000) was statistically significant (). From 2018 to 2022, the HIV residual risk in blood transfusion transmission was 0.266/100000. Conclusion. The prevalence of HIV among blood donors in Zhejiang Province, China, is associated with age, gender, and times of blood donation. The HIV residual risk in blood transfusion transmission remains low in the province, and increasing the rate of repeat blood donors is beneficial to improve blood safety.
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2018 至 2022 年中国浙江省无偿献血者的艾滋病流行率和残留风险
背景。自对献血者实施核酸扩增技术(NAT)检测以来,血液安全水平已大大提高。然而,输血传播感染的残余风险依然存在。本研究旨在评估 NAT 实施五年来中国浙江省志愿献血者中 HIV 感染率及其残余传播风险。材料与方法。所有标本和信息均采集自 2018 年 1 月至 2022 年 12 月期间浙江省所有血液服务机构的无偿自愿献血者。分别使用酶联免疫吸附法和 NAT 检测 HIV 抗体或抗原和 HIV RNA。采用发病率或窗口期模型计算艾滋病病毒残余传播风险。结果显示共检测到 3,375,678 名自愿献血者,发现 HIV 感染率为 9.92/100000。浙江省 12 家血液服务机构的献血者艾滋病感染率分别为每 10 万献血者中 6.11、6.98、7.45、8.21、8.36、8.94、9.04、9.66、9.73、10.22、11.80 和 12.47 例,各服务机构之间差异无统计学意义()。男性艾滋病毒感染率(15.49/100000)明显高于女性(1.95/100000;)。各年龄组献血者的艾滋病毒感染率差异不大(),但 26-35 岁年龄组和 18-25 岁年龄组的艾滋病毒感染率明显高于 36-45 岁年龄组()。首次献血者(13.65/100,000)和重复献血者(6.78/100,000)之间的艾滋病毒感染率差异具有统计学意义()。从 2018 年到 2022 年,输血传播中的 HIV 剩余风险为 0.266/100000。结论。中国浙江省献血者中的 HIV 感染率与年龄、性别和献血次数有关。该省输血传播艾滋病的残余风险仍然较低,提高重复献血率有利于改善血液安全。
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