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Comparing the Diagnostics Accuracy of CD4+ T-Lymphocyte Count and Percent as a Surrogate Markers of Pediatric HIV Disease

机译:比较CD4 + T淋巴细胞计数和百分比作为小儿HIV疾病的替代指标的诊断准确性

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The percentage CD4+ T-lymphocytes is used to monitor pediatric HIV disease. However, in resource-limited settings, enumerating the percentage of CD4+ T-lymphocytes is hampered by the lack of laboratory infrastructure and trained technicians. In this paper, we investigated the performances of the percentage and absolute CD4+ T-lymphocytes as markers of pediatric HIV disease progression using data from HIV-infected children enrolled through the Yale Prospective Longitudinal Pediatric Cohort study. A Lehmann family of Receiver Operating Characteristic (ROC) curves were used to estimate and compare the performance of the two biomarkers in monitoring pediatric HIV disease progression. The area under the ROC (AUC) curve and its empirical estimator have previously been used to assess the performance of biomarkers for a cross-sectional data. However, there is a paucity of literature on the AUC for correlated longitudinal biomarkers. Previous works on the estimation and inference of the AUC for longitudinal biomarkers have largely focused on independent biomarkers or failed to consider the effect of covariates. The Lehmann approach allowed us to estimate the AUC of the aforementioned correlated longitudinal biomarkers as functions of explanatory variables. We found that the overall performance of the two biomarkers was comparable. The area under the ROC curves for CD4+ T cell count and percentage were 0.681 [SE = 0.029; 95% CI: 0.624-0.737] and 0.678 [SE = 0.024; 95% CI:0.630-0.725], respectively. Our results suggest that absolute CD4+ T-lymphocyte counts could be used as a proxy for percentage of CD4+ T-lymphocytes in monitoring pediatric HIV in resource-limited settings.
机译:CD4 + T淋巴细胞百分比用于监测小儿HIV疾病。但是,在资源有限的环境中,缺少实验室基础设施和训练有素的技术人员会妨碍枚举CD4 + T淋巴细胞的百分比。在本文中,我们使用来自耶鲁前瞻性纵向儿科队列研究的HIV感染儿童的数据,调查了百分比和绝对CD4 + T淋巴细胞作为儿童HIV疾病进展标记的性能。使用雷曼(Lehmann)的接收者操作特征(ROC)曲线系列来估计和比较这两种生物标记物在监测小儿HIV疾病进展中的性能。 ROC(AUC)曲线下方的面积及其经验估算器以前已用于评估横截面数据的生物标志物的性能。但是,关于相关的纵向生物标记物的AUC文献很少。先前关于纵向生物标志物的AUC估计和推断的工作主要集中在独立的生物标志物上,或者没有考虑协变量的影响。 Lehmann方法使我们能够估计上述相关纵向生物标志物的AUC,作为解释变量的函数。我们发现两种生物标志物的整体性能是可比的。用于CD4 + T细胞计数和百分比的ROC曲线下面积为0.681 [SE = 0.029; 95%CI:0.624-0.737]和0.678 [SE = 0.024; 95%CI:0.630-0.725]。我们的结果表明,在资源有限的环境中,绝对CD4 + T淋巴细胞计数可作为CD4 + T淋巴细胞百分比的替代指标,用于监测儿科HIV。

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