比较CD4+ t淋巴细胞计数和百分比作为儿科HIV疾病替代标志物的诊断准确性

Journal of mathematics and statistics Pub Date : 2019-01-01 Epub Date: 2019-04-03 DOI:10.3844/jmssp.2019.55.64
Musie Ghebremichael, Haben Michael, Jack Tubbs, Elijah Paintsil
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引用次数: 6

摘要

CD4+ t淋巴细胞百分比用于监测儿童HIV疾病。然而,在资源有限的情况下,由于缺乏实验室基础设施和训练有素的技术人员,计数CD4+ t淋巴细胞的百分比受到阻碍。在本文中,我们研究了CD4+ t淋巴细胞的百分比和绝对表现,作为儿科HIV疾病进展的标志物,使用耶鲁大学前瞻性纵向儿科队列研究中纳入的HIV感染儿童的数据。采用Lehmann受体工作特征(ROC)曲线来估计和比较两种生物标志物在监测儿童HIV疾病进展中的表现。ROC曲线下的面积(AUC)及其经验估计量先前已用于评估生物标志物的横截面数据的性能。然而,关于相关纵向生物标志物的AUC的文献很少。以往关于纵向生物标志物AUC的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作为解释变量的函数的AUC。我们发现这两种生物标志物的总体性能是相似的。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]。我们的研究结果表明,在资源有限的环境下,CD4+ t淋巴细胞绝对计数可以作为CD4+ t淋巴细胞百分比的代表来监测儿童HIV。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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

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

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.

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