Incorporating Real-time Influenza Detection Into the Test-negative Design for Estimating Influenza Vaccine Effectiveness: The Real-time Test-negative Design (rtTND).
clinical testing
influenza
real-time test-negative design
test-negative design
vaccine effectiveness
Journal
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
ISSN: 1537-6591
Titre abrégé: Clin Infect Dis
Pays: United States
ID NLM: 9203213
Informations de publication
Date de publication:
04 05 2021
04 05 2021
Historique:
received:
21
09
2020
accepted:
21
09
2020
pubmed:
26
9
2020
medline:
21
5
2021
entrez:
25
9
2020
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 32974644
pii: 5911459
doi: 10.1093/cid/ciaa1453
pmc: PMC8096266
doi:
Substances chimiques
Influenza Vaccines
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
1669-1675Subventions
Organisme : NIGMS NIH HHS
ID : K23 GM129661
Pays : United States
Organisme : NIAID NIH HHS
ID : K24 AI148459
Pays : United States
Organisme : NIAID NIH HHS
ID : R37 AI032042
Pays : United States
Organisme : CDC HHS
Pays : United States
Investigateurs
Michele Kong
(M)
Ronald C Sanders
(RC)
Katherine Irby
(K)
Mary Gaspers
(M)
Barry Markovitz
(B)
Natalie Cvijanovich
(N)
Adam Schwarz
(A)
Peter Mourani
(P)
Aline Maddux
(A)
Natalia Martinez Schlurmann
(N)
Keiko Tarquinio
(K)
Bria M Coates
(BM)
Janice Sullivan
(J)
Vicki Montgomery
(V)
Heidi R Flori
(HR)
Janet Hume
(J)
Jennifer E Schuster
(JE)
Melissa Cullimore
(M)
Russell McCulloh
(R)
Sidharth Mahapatra
(S)
Shira J Gertz
(SJ)
Ryan Nofziger
(R)
Steven L Shein
(SL)
Mark W Hall
(MW)
Neal Thomas
(N)
Scott L Weiss
(SL)
Laura L Loftis
(LL)
Janet A Englund
(JA)
Lincoln S Smith
(LS)
Informations de copyright
Published by Oxford University Press for the Infectious Diseases Society of America 2020.
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