Susan E Buskin, Neway G Fida, Amy B Bennett, Matthew R Golden, Joanne D Stekler
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Dates of last negative HIV tests were obtained from lab reports in the HIV surveillance system or data collected for HIV Incidence Surveillance.</p><p><strong>Results: </strong>Between 2005 and 2011, 47 MSM with AHI were identified by pooled NAAT. Of the 47 cases, 36% had ITI < 1 day, 60% had an ITI < 30 days, and 70% (95% CI=55-82%) had an ITI ≤ 6 months and would have been identified as early HIV infection. Of the 47, 38% had STARHS testing and 94% were STARHS recent.</p><p><strong>Conclusion: </strong>MSM with known AHI were not identified by proposed definitions of AHI and early infection. These known AHI cases were frequently missed by HIV surveillance because concurrent negative antibody tests were not reported. Successful implementation of the revisions to the HIV staging system will require more comprehensive reporting.</p>","PeriodicalId":515834,"journal":{"name":"The Open AIDS Journal","volume":"8 ","pages":"45-9"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/08/74/TOAIDJ-8-45.PMC4192836.pdf","citationCount":"7","resultStr":"{\"title\":\"Evaluating New Definitions of Acute and Early HIV Infection from HIV Surveillance Data.\",\"authors\":\"Susan E Buskin, Neway G Fida, Amy B Bennett, Matthew R Golden, Joanne D Stekler\",\"doi\":\"10.2174/1874613601408010045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The U.S. HIV staging system is being revised to more comprehensively track early and acute HIV infection (AHI). We evaluated our ability to identify known cases of AHI using King County (KC) HIV surveillance data.</p><p><strong>Methodology: </strong>AHI cases were men who have sex with men (MSM) with negative antibody and positive pooled nucleic acid amplification (NAAT) tests identified through KC testing sites. We used KC surveillance data to calculate inter-test intervals (ITI, time from last negative to first positive test) and the serologic algorithm for recent HIV seroconversion (STARHS). For surveillance data, AHI was defined as an ITI of ≤ 30 days and early infection as an ITI ≤ 180 days or STARHS recent result. Dates of last negative HIV tests were obtained from lab reports in the HIV surveillance system or data collected for HIV Incidence Surveillance.</p><p><strong>Results: </strong>Between 2005 and 2011, 47 MSM with AHI were identified by pooled NAAT. Of the 47 cases, 36% had ITI < 1 day, 60% had an ITI < 30 days, and 70% (95% CI=55-82%) had an ITI ≤ 6 months and would have been identified as early HIV infection. Of the 47, 38% had STARHS testing and 94% were STARHS recent.</p><p><strong>Conclusion: </strong>MSM with known AHI were not identified by proposed definitions of AHI and early infection. These known AHI cases were frequently missed by HIV surveillance because concurrent negative antibody tests were not reported. 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引用次数: 7
摘要
背景:美国HIV分期系统正在修订,以更全面地跟踪早期和急性HIV感染(AHI)。我们利用King County (KC) HIV监测数据评估了我们识别已知AHI病例的能力。方法:AHI病例为通过KC检测点检测出抗体阴性、集合核酸扩增(NAAT)阳性的男男性行为者(MSM)。我们使用KC监测数据来计算检测间隔(ITI,从最后一次阴性到第一次阳性检测的时间)和最近HIV血清转化的血清学算法(STARHS)。对于监测数据,AHI定义为ITI≤30天,早期感染定义为ITI≤180天或STARHS近期结果。最后一次艾滋病毒阴性检测的日期来自艾滋病毒监测系统的实验室报告或艾滋病毒发病率监测收集的数据。结果:2005年至2011年,通过汇总NAAT鉴定出47例患有AHI的MSM。在47例患者中,36%的患者ITI < 1天,60%的患者ITI < 30天,70% (95% CI=55-82%)的患者ITI≤6个月,可被诊断为早期HIV感染。在47名患者中,38%进行过STARHS检测,94%最近进行过STARHS检测。结论:已知AHI的MSM不能被AHI和早期感染的定义所识别。这些已知的AHI病例经常被HIV监测遗漏,因为没有同时报告阴性抗体检测。成功实施对艾滋病毒分期系统的修订将需要更全面的报告。
Evaluating New Definitions of Acute and Early HIV Infection from HIV Surveillance Data.
Background: The U.S. HIV staging system is being revised to more comprehensively track early and acute HIV infection (AHI). We evaluated our ability to identify known cases of AHI using King County (KC) HIV surveillance data.
Methodology: AHI cases were men who have sex with men (MSM) with negative antibody and positive pooled nucleic acid amplification (NAAT) tests identified through KC testing sites. We used KC surveillance data to calculate inter-test intervals (ITI, time from last negative to first positive test) and the serologic algorithm for recent HIV seroconversion (STARHS). For surveillance data, AHI was defined as an ITI of ≤ 30 days and early infection as an ITI ≤ 180 days or STARHS recent result. Dates of last negative HIV tests were obtained from lab reports in the HIV surveillance system or data collected for HIV Incidence Surveillance.
Results: Between 2005 and 2011, 47 MSM with AHI were identified by pooled NAAT. Of the 47 cases, 36% had ITI < 1 day, 60% had an ITI < 30 days, and 70% (95% CI=55-82%) had an ITI ≤ 6 months and would have been identified as early HIV infection. Of the 47, 38% had STARHS testing and 94% were STARHS recent.
Conclusion: MSM with known AHI were not identified by proposed definitions of AHI and early infection. These known AHI cases were frequently missed by HIV surveillance because concurrent negative antibody tests were not reported. Successful implementation of the revisions to the HIV staging system will require more comprehensive reporting.