| 王 瑞,高瑞红,高 丽,冯瑞梅,郭晓芳,张文刚,梁忠义,郑晓楠,张舒婷,王骥涛.2017至2022年太原市HIV抗体不确定及后续随访阳转样本WB条带及流行病学因素分析[J].,2023,(19):3777-3782 |
| 2017至2022年太原市HIV抗体不确定及后续随访阳转样本WB条带及流行病学因素分析 |
| Analyze Western Blot Band Patterns and Epidemiologic Factors in Cases with Indeterminate HIV Antibody and Follow-up Seroconversion, Taiyuan, 2017-2022 |
| 投稿时间：2023-04-05 修订日期：2023-04-28 |
| DOI：10.13241/j.cnki.pmb.2023.19.036 |
| 中文关键词: HIV 抗体不确定 后续阳转 蛋白免疫印记试验 流行病学因素 |
| 英文关键词: HIV Antibody indeterminate Positive seroconversion Western blot Epidemiological factors |
| 基金项目:国家自然科学基金项目（82204133） |
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| 中文摘要: |
| 摘要 目的：探究HIV抗体不确定及后续随访阳转样本的WB条带和流行病学特征。方法：对太原市范围内2017年至2022年监测到的790份HIV抗体不确定及71例后续随访阳性人员的WB条带和流行病学信息进行分析。结果：（1）HIV抗体不确定样本主要来自医院、血液中心和自愿咨询与检测（VCT）机构，占比84.47%；阳转样本主要来自医院和VCT，占88.73%；不确定人群中的性病门诊就诊者和VCT人群阳转率最高，分别为50%、25.49%。（2）不确定和阳转样本以20-40周岁人员为主，占53.8%；不确定人群中的20-30岁阳转率最高，占15.57%。（3）不确定样本在学历、性别方面无明显差异，但阳转样本男性占比远高于女性、高学历人群相对较高。（4）不确定样本以已婚、无高危行为、就业人群为主，阳转样本以具有未婚、离异、丧偶、阳性配偶、男男同性恋（MSM）、学生、无业或待业等特点人群为主。（5）不确定样本条带以P24和P17条带和带型为主，阳转样本条带以P24和P17为主，以含有P24和gP160条带的带型为主。结论：不确定样本中具有性病门诊就诊者、VCT、MSM、20-30岁、未婚、无业等流行病学因素和具有P24或gP160条带等特点的样本后续阳转可能性较大，应以上述人群为防控干预重点，重点加强具有上述特点不确定样本的个案跟踪和随访检测。 |
| 英文摘要: |
| ABSTRACT Objective: Explore characteristics of western blot band patterns and the epidemiological factors in cases with indeterminate HIV antibody and seroconversion with follow-up visit. Methods: Analyze western blot band patterns and the epidemiological factors on 790 cases with indeterminate HIV antibody and 71 follow-up seroconversion cases, in Taiyuan city from 2017 to 2022 years. Results: (1) Samples which have indeterminate HIV antibody, main come from hospitals, blood centers, and HIV voluntary counseling and testing (VCT) institutions, accounting for 84.47%. The positive seroconversion samples were mainly from hospitals and VCT institutions, accounting for 88.73%. In uncertain samples, the seroconversion rate of sexually transmitted diseases (STDs) clinic and VCT patients were higher than other sources, which was 50% and 25.49%. (2) The majority of uncertain samples and seroconversion samples were at the age of 20-40 years old, accounting for 53.8%. Among the uncertain samples, the rate of seroconversion samples at the age of 20-30 years old was the highest, accounting for 15.57%. (3) There was no significant difference in education level and gender among indeterminate samples, but the proportion of male seroconversion samples was much higher than that of female, and the rate of high educated population was relatively higher. (4) The majority of the indeterminate samples were married people, without high-risk behaviors, and employed people. The samples of positive conversion were mainly unmarried, divorced, widowed, spouses infected HIV, men who have sex with men (MSM), students, and unemployed people. (5) P24 and P17 were main bands and patterns in indeterminate samples, while P24 and P17 were the main bands in seroconversion samples. The patterns containing P24 or gP160 band were main and had the higher rate to seroconvert. Conclusion: Among the indeterminate HIV antibody samples, samples with characteristics of STD clinic, VCT, MSM, 20-30 years old, unmarried, unemployed and P24 or gP160 band were more likely to seroconvert. It is necessary to focus on the pepole who have above factors for prevention and control. It is important to follow up and test cases with above characteristics. |
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