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Reply to Giménez et al
Clinical Infectious Diseases ( IF 8.2 ) Pub Date : 2018-03-29 , DOI: 10.1093/cid/ciy139
Joshua A Hill 1, 2 , Bryan T Mayer 2 , Hu Xie 3 , Wendy M Leisenring 3 , Michael Boeckh 1, 2, 3 , Joshua T Schiffer 1, 2, 3
Affiliation  

To the Editor—Giménez and colleagues present a retrospective study of 196 allogeneic hematopoietic cell transplant (HCT) recipients in which they analyzed the association of plasma cytomegalovirus (CMV) load area under the curve (AUC) with overall mortality by 180 and 365 days after HCT. They report no evidence of a dose–response relationship between the CMV AUC and mortality, contrary to our recent publication [1]. The authors note differences between our studies that may contribute to the disparate findings and specifically inquire whether a difference in the AUC calculation played a role. Both studies used the curve-trapezoid rule method to calculate the AUC. Whereas Giménez and colleagues calculated the viral load AUC prior to log10-transformation, we log10-transformed the data prior to calculating the AUC and standardized for time at risk by dividing the AUC by the number of days followed to the time of the AUC [2]. Our results remained significant without standardizing by days followed (data not shown). The log10 value of the AUC using crude viral loads emphasizes peak viral loads, whereas the AUC of log10-transformed viral loads captures cumulative exposure to clinically relevant levels of viral replication. Both approaches are valid metrics that provide alternative biomarkers for study.

中文翻译:


回复 Giménez 等人



Giménez 及其同事向编辑介绍了一项针对 196 名同种异体造血细胞移植 (HCT) 接受者的回顾性研究,其中他们分析了血浆巨细胞病毒 (CMV) 载量曲线下面积 (AUC) 与移植后 180 天和 365 天的总体死亡率之间的关系血细胞CT。他们报告没有证据表明 CMV AUC 与死亡率之间存在剂量反应关系,这与我们最近发表的文章相反 [1]。作者注意到我们的研究之间的差异可能导致不同的结果,并特别询问 AUC 计算的差异是否发挥了作用。两项研究均使用曲线梯形法则方法来计算 AUC。 Giménez 及其同事在 log 10转换之前计算了病毒载量 AUC,而我们在计算 AUC 之前对数据进行了 log 10转换,并通过将 AUC 除以 AUC 时间之后的天数来标准化风险时间[2]。我们的结果在随后几天内没有标准化的情况下仍然显着(数据未显示)。使用粗病毒载量的 AUC 的 log 10值强调峰值病毒载量,而 log 10转换的病毒载量的 AUC 捕获临床相关病毒复制水平的累积暴露。这两种方法都是有效的指标,可为研究提供替代生物标志物。
更新日期:2018-03-29
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