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

  • the Influenza Vaccine Effectiveness in the Critically Ill (IVY) Investigators and the Pediatric Intensive Care Influenza Vaccine Effectiveness (PICFLU-VE) Investigators
  • Centers for Disease Control and Prevention
  • Vanderbilt University
  • Boston Children's Hospital
  • Harvard University
  • Yeshiva University
  • University of Utah
  • Ohio State University
  • Wake Forest University
  • University of Colorado Anschutz Medical Campus
  • Oregon Health and Science University
  • University of Minnesota Twin Cities
  • Beth Israel Deaconess Medical Center
  • Baystate Medical Center
  • University of Washington
  • Fred Hutchinson Cancer Research Center

Producción científicarevisión exhaustiva

8 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Páginas (desde-hasta)1669-1675
Número de páginas7
PublicaciónClinical Infectious Diseases
Volumen72
N.º9
DOI
EstadoPublished - 1 may 2021

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