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The HIV Genomic Incidence Assay Meets False Recency Rate and Mean Duration of Recency Infection Performance Standards

机译:HIV基因组发病率检测符合虚假率和平均近期感染表现标准

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摘要

HIV incidence is a primary metric for epidemic surveillance and prevention efficacy assessment. HIV incidence assay performance is evaluated via false recency rate (FRR) and mean duration of recent infection (MDRI). We conducted a meta-analysis of 438 incident and 305 chronic specimens’ HIV envelope genes from a diverse global cohort. The genome similarity index (GSI) accurately characterized infection stage across diverse host and viral factors. All except one chronic specimen had GSIs below 0.67, yielding a FRR of 0.33 [0-0.98] %. We modeled the incidence assay biomarker dynamics with a logistic link function assuming individual variabilities in a Beta distribution. The GSI probability density function peaked close to 1 in early infection and 0 around two years post infection, yielding MDRI of 420 [361, 467] days. We tested the assay by newly sequencing 744 envelope genes from 59 specimens of 21 subjects who followed from HIV negative status. Both standardized residuals and Anderson-Darling tests showed that the test dataset was statistically consistent with the model biomarker dynamics. This is the first reported incidence assay meeting the optimal FRR and MDRI performance standards. Signatures of HIV gene diversification can allow precise cross-sectional surveillance with a desirable temporal range of incidence detection.
机译:HIV发生率是流行病监测和预防效果评估的主要指标。 HIV发生率测定的性能通过虚假发病率(FRR)和最近感染的平均持续时间(MDRI)进行评估。我们对来自全球不同人群的438个事件和305个慢性标本的HIV包膜基因进行了荟萃分析。基因组相似性指数(GSI)准确表征了跨多种宿主和病毒因素的感染阶段。除一个慢性标本外,所有标本的GSI均低于0.67,FRR为0.33 [0-0.98]%。我们采用逻辑链接函数对发病率生物标记动力学进行了建模,并假设Beta分布中存在个体差异。 GSI概率密度函数在早期感染时接近1,在感染后两年左右达到0,导致MDRI为420 [361,467]天。我们通过对21位受艾滋病毒呈阴性状态的受试者的59个标本中的744个包膜基因进行新的测序来测试该检测方法。标准化残差测试和Anderson-Darling测试均表明,测试数据集与模型生物标志物动力学在统计学上一致。这是首次报道的符合最佳FRR和MDRI性能标准的发病率检测方法。 HIV基因多样化的特征可以实现精确的横截面监视,并具有所需的时间范围内的事件检测能力。

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