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| 安徽省2019—2024年艾滋病医防融合诊疗实践与思考 |
| Practice and reflection on integration of medical treatment and prevention for HIV/AIDS in Anhui province from 2019 to 2024 |
| 投稿时间：2025-11-19 |
| DOI：10.3969/j.issn.1000-0399.2026.09.017 |
| 中文关键词: 艾滋病 医防融合 “一站式”服务 人工智能 |
| 英文关键词: Human immunodeficiency virus/Acquired immunodeficiency syndrome care Integration of clinical treatment and epidemic prevention “One-stop” service Artificial intelligence |
| 基金项目:2023年度安徽省社会科学创新发展研究课题(编号:2023CX081);2023年度合肥市卫生健康应用医学科研项目(编号:Hwk2023yb014) |
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| 中文摘要: |
| 目的 分析安徽省艾滋病诊疗中心医防融合实践数据，为其他地域艾滋病相关防治工作提供借鉴参考。方法 回顾性分析安徽省艾滋病诊疗中心2019-2024年艾滋病患者管理数据，比较实施职能移交与协同共治、“一站式”服务与快速启动治疗、信息融合与人工智能应用等创新举措前后，感染者首次接受抗病毒治疗时间、艾滋病感染者管理规模及艾滋病感染者治疗成功率、年停药比例和年失访比例的差异。结果 自2019年，艾滋病感染者首次接受抗病毒治疗时间，从19(16,23)天缩短至11(8,14)天，缩短42%；艾滋病感染者管理规模从2 397人增至4 190人，增长74.8%；艾滋病感染者治疗成功率[艾滋病毒病毒载量（VL）<50]从90.23%(2019年)提升至96.42%(2024年)，提升6.19%；艾滋病感染者治疗成功率（艾滋病毒VL<1 000）从96.72%提升至98.38%，提升1.66%；自信息融合与人工智能（AI）应用实施（2023年-2025年），管理患者年停药比例从0.15%降至0.07%；年失访比例从0.34%降至0.20%。结论 通过职能移交与协同共治机制创新、“一站式”服务与快速启动治疗服务模式优化以及信息融合与AI应用创新技术赋能，或可提升艾滋病防控及诊疗成效，扩大患者管理规模和管理周期。 |
| 英文摘要: |
| Objective To analyze the practice data of integrated medical care and prevention for Human immunodeficiency virus/Acquired immunodeficiency syndrome(HIV/AIDS) at the Anhui Provincial HIV/AIDS Diagnosis and Treatment Center, and provide reference for HIV/AIDS prevention and control in other regions. Methods A retrospective analysis was conducted on the management data of people living with HIV(PLWH) at the Anhui Provincial HIV/AIDS Diagnosis and Treatment Center from 2019 to 2024. The study compared the differences in the time to first antiretroviral therapy(ART) initiation, the scale of PLWH management, treatment success rates, annual drug discontinuation rates, and annual loss to follow-up rates before and after the implementation of innovative measures, which included functional transfer and collaborative governance, “one-stop” service and rapid initiation of ART, and information integration and artificial intelligence(AI) application. Results Observational analysis of annual data from 2019 to 2024 showed that the median time to first ART initiation decreased from 19 days to 11 days(a 42% reduction); the number of patients under management increased from 2 397 to 4 190(a 74.8% increase); virologic suppression rate(VL<50 copies/mL) rose from 90.23% to 96.42%(a 6.19% increase); virologic suppression rate(VL < 1 000 copies/mL) rose from 96.72% to 98.38%(a 1.66% increase); annual drug discontinuation rate dropped from 0.15% to 0.07%; and annual loss to follow-up rate dropped from 0.34% to 0.20%. Conclusion Innovations in functional transfer and collaborative governance, optimization of the “one-stop” service and rapid ART initiation models, and empowerment via information integration and AI applications can significantly improve HIV/AIDS prevention, control, and diagnosis and treatment outcomes, and expand the scale and duration of patient management. |
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