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将实时流感检测纳入估计流感疫苗效力的检测阴性设计:实时检测阴性设计(rtTND)。

Incorporating Real-time Influenza Detection Into the Test-negative Design for Estimating Influenza Vaccine Effectiveness: The Real-time Test-negative Design (rtTND).

作者信息

Feldstein Leora R, Self Wesley H, Ferdinands Jill M, Randolph Adrienne G, Aboodi Michael, Baughman Adrienne H, Brown Samuel M, Exline Matthew C, Files D Clark, Gibbs Kevin, Ginde Adit A, Gong Michelle N, Grijalva Carlos G, Halasa Natasha, Khan Akram, Lindsell Christopher J, Newhams Margaret, Peltan Ithan D, Prekker Matthew E, Rice Todd W, Shapiro Nathan I, Steingrub Jay, Talbot H Keipp, Halloran M Elizabeth, Patel Manish

机构信息

Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Vanderbilt University Medical Center, Nashville, Tennessee, USA.

出版信息

Clin Infect Dis. 2021 May 4;72(9):1669-1675. doi: 10.1093/cid/ciaa1453.

Abstract

With rapid and accurate molecular influenza testing now widely available in clinical settings, influenza vaccine effectiveness (VE) studies can prospectively select participants for enrollment based on real-time results rather than enrolling all eligible patients regardless of influenza status, as in the traditional test-negative design (TND). Thus, we explore advantages and disadvantages of modifying the TND for estimating VE by using real-time, clinically available viral testing results paired with acute respiratory infection eligibility criteria for identifying influenza cases and test-negative controls prior to enrollment. This modification, which we have called the real-time test-negative design (rtTND), has the potential to improve influenza VE studies by optimizing the case-to-test-negative control ratio, more accurately classifying influenza status, improving study efficiency, reducing study cost, and increasing study power to adequately estimate VE. Important considerations for limiting biases in the rtTND include the need for comprehensive clinical influenza testing at study sites and accurate influenza tests.

摘要

随着快速准确的分子流感检测目前在临床环境中广泛可用,流感疫苗效力(VE)研究可以根据实时结果前瞻性地选择参与者进行入组,而不是像传统的检测阴性设计(TND)那样,无论流感状态如何,将所有符合条件的患者纳入。因此,我们探讨了通过使用实时、临床可用的病毒检测结果与急性呼吸道感染入选标准相结合,在入组前识别流感病例和检测阴性对照,来修改TND以估计VE的优缺点。这种修改,我们称之为实时检测阴性设计(rtTND),有可能通过优化病例与检测阴性对照的比例、更准确地分类流感状态、提高研究效率、降低研究成本以及增强充分估计VE的研究效力,来改进流感VE研究。在rtTND中限制偏差的重要考虑因素包括研究地点进行全面临床流感检测的必要性以及准确的流感检测。

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