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高效抗逆转录病毒治疗(HAART)开始后,总淋巴细胞计数变化作为CD4计数变化的替代指标:对资源有限环境下监测的意义

Changes in total lymphocyte count as a surrogate for changes in CD4 count following initiation of HAART: implications for monitoring in resource-limited settings.

作者信息

Mahajan Anish P, Hogan Joseph W, Snyder Brad, Kumarasamy N, Mehta Kalindi, Solomon Suniti, Carpenter Charles C J, Mayer Kenneth H, Flanigan Timothy P

机构信息

School of Medicine, Brown University, Providence, RI, 02906, USA.

出版信息

J Acquir Immune Defic Syndr. 2004 May 1;36(1):567-75. doi: 10.1097/00126334-200405010-00004.

DOI:10.1097/00126334-200405010-00004
PMID:15097299
Abstract

BACKGROUND

A major obstacle to the administration of highly active antiretroviral therapy (HAART) in resource-limited settings is the high cost of CD4 count testing. The total lymphocyte count (TLC) has been proposed as a surrogate marker to monitor immune response to therapy.

OBJECTIVE

To assess, in a developed country setting, the capability and clinical utility of TLC change as a surrogate marker for CD4 count change in monitoring patients on HAART.

METHODS

Longitudinal co-variation between changes in TLC and concomitant changes in CD4 count following the initiation of HAART was examined using a retrospective cohort study of 126 HIV-positive patients attending The Miriam Hospital, Brown University, Providence, RI. Analyses included evaluation of the direction of TLC change as a marker for direction of CD4 change, using sensitivity and specificity; evaluation of absolute change in TLC as a marker for benchmark changes in CD4 (> or =50 over 6 months, > or =100 over 12 months), using receiver-operator characteristic (ROC) curves; and a regression model of change in TLC as a function of change in CD4, to understand within-individual variation of longitudinal TLC measures.

RESULTS

In the first 24 months of HAART, the sensitivity of a TLC increase as a marker for CD4 count increase over the same time period ranged from 86-94%, and the specificity ranged from 80-85%. The median change in TLC among patients with a CD4 count rise of > or =100 cells/mm at 1 year of HAART was +766 cells/mm while that of patients with a CD4 count rise of <100 cells/m was +100 cells/mm. The area under the corresponding ROC curve was 0.89, suggesting that change in TLC discriminates well between those with 1-year CD4 change of > or =100 vs. those with change <+100. From a regression analysis, we found that mean change in TLC per 1 cell/mm change in CD4 count was 7.3 (SE 1.2, P < 0.001). The degree of this association varied from individual to individual but was positive for all individuals.

CONCLUSIONS

Within the first 2 years of HAART, the direction of change in TLC appears to be a strong marker for direction of concomitant change in CD4 count (sensitivity 86-94% and specificity 80-85%, depending on length of interval). Positive and negative predictive values depend on the proportion of CD4 changes that are positive. In this cohort, that proportion is 87.9%, which yields high positive predictive value (96-98%) but lower negative predictive value (43-63%). Findings from the regression model suggest that taking multiple measurements of TLC at more frequent intervals may reduce variability and potentially improve predictive accuracy.

摘要

背景

在资源有限的环境中,高效抗逆转录病毒疗法(HAART)给药的一个主要障碍是CD4细胞计数检测成本高昂。总淋巴细胞计数(TLC)已被提议作为监测治疗免疫反应的替代标志物。

目的

在发达国家环境中,评估TLC变化作为HAART治疗患者CD4细胞计数变化替代标志物的能力和临床实用性。

方法

采用回顾性队列研究,对罗德岛普罗维登斯布朗大学米里亚姆医院的126名HIV阳性患者进行研究,检查HAART开始后TLC变化与CD4细胞计数伴随变化之间的纵向协变。分析包括使用敏感性和特异性评估TLC变化方向作为CD4变化方向的标志物;使用受试者工作特征(ROC)曲线评估TLC的绝对变化作为CD4基准变化(6个月内≥50,12个月内≥100)的标志物;以及TLC变化作为CD4变化函数的回归模型,以了解纵向TLC测量的个体内变异。

结果

在HAART治疗的前24个月,TLC升高作为同期CD4细胞计数升高标志物的敏感性范围为86%-94%,特异性范围为80%-85%。HAART治疗1年时CD4细胞计数升高≥100个细胞/mm³的患者中,TLC的中位数变化为+766个细胞/mm³,而CD4细胞计数升高<100个细胞/mm³的患者中,TLC的中位数变化为+100个细胞/mm³。相应ROC曲线下面积为0.89,表明TLC变化能够很好地区分1年CD4变化≥100的患者和变化<+100的患者。通过回归分析,我们发现CD4细胞计数每变化1个细胞/mm³,TLC的平均变化为7.3(标准误1.2,P<0.001)。这种关联程度因人而异,但对所有个体均为正相关。

结论

在HAART治疗的前2年,TLC变化方向似乎是同期CD4细胞计数变化方向的有力标志物(敏感性86%-94%,特异性80%-85%,取决于间隔时间长度)。阳性和阴性预测值取决于CD4变化为阳性的比例。在该队列中,该比例为87.9%,产生高阳性预测值(96%-98%)但较低的阴性预测值(43%-63%)。回归模型的结果表明,更频繁地多次测量TLC可能会降低变异性并潜在提高预测准确性。

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