10.5061/DRYAD.T7N48
Anderson, Kathryn B.
University of Minnesota
Simasthien, Sriluck
Phramongkutklao Hospital
Watanaveeradej, Veerachai
Phramongkutklao Hospital
Weg, Alden L.
Armed Forces Research Institute of Medical Science
Ellison, Damon W.
Armed Forces Research Institute of Medical Science
Suwanpakdee, Detchvijitr
Phramongkutklao Hospital
Klungthong, Chonticha
Armed Forces Research Institute of Medical Science
Phonpakobsin, Thipwipha
Armed Forces Research Institute of Medical Science
Kerdpanich, Phirangkul
Phramongkutklao Hospital
Phiboonbanakit, Danabhand
Phramongkutklao Hospital
Gibbons, Robert V.
Armed Forces Research Institute of Medical Science
Fernandez, Stefan
Armed Forces Research Institute of Medical Science
Macareo, Louis R.
Armed Forces Research Institute of Medical Science
Yoon, In-Kyu
Armed Forces Research Institute of Medical Science
Jarman, Richard G.
Walter Reed Army Institute of Research
Data from: Clinical and laboratory predictors of influenza infection among
individuals with influenza-like illness presenting to an urban Thai
hospital over a five-year period
Dryad
dataset
2019
2009-2014
QuickVue
Influenza-like illness
Influenza
Cross-sectional study
2019-02-12T00:00:00Z
2019-02-12T00:00:00Z
en
https://doi.org/10.1371/journal.pone.0193050
518776 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Early diagnosis of influenza infection maximizes the effectiveness of
antiviral medicines. Here, we assess the ability for clinical
characteristics and rapid influenza tests to predict PCR-confirmed
influenza infection in a sentinel, cross-sectional study for
influenza-like illness (ILI) in Thailand. Participants meeting criteria
for acute ILI (fever > 38°C and cough or sore throat) were
recruited from inpatient and outpatient departments in Bangkok, Thailand,
from 2009-2014. The primary endpoint for the study was the occurrence of
virologically-confirmed influenza infection (based upon detection of viral
RNA by RT-PCR) among individuals presenting for care with ILI. Nasal and
throat swabs were tested by rapid influenza test (QuickVue) and by RT-PCR.
Vaccine effectiveness (VE) was calculated using the case test-negative
method. Classification and Regression Tree (CART) analysis was used to
predict influenza RT-PCR positivity based upon symptoms reported. We
enrolled 4572 individuals with ILI; 32.7% had detectable influenza RNA by
RT-PCR. Influenza cases were attributable to influenza B (38.6%),
A(H1N1)pdm09 (35.1%), and A(H3N2) (26.3%) viruses. VE was highest against
influenza A(H1N1)pdm09 virus and among adults. The most important symptoms
for predicting influenza PCR-positivity among patients with ILI were
cough, runny nose, chills, and body aches. The accuracy of the CART
predictive model was 72.8%, with an NPV of 78.1% and a PPV of 59.7%.
During epidemic periods, PPV improved to 68.5%. The PPV of the QuickVue
assay relative to RT-PCR was 93.0% overall, with peak performance during
epidemic periods and in the absence of oseltamivir treatment. Clinical
criteria demonstrated poor predictive capability outside of epidemic
periods while rapid tests were reasonably accurate and may provide an
acceptable alternative to RT-PCR testing in resource-limited areas.
PMK_Influenza_2009_2014Deidentified data for individuals presenting with
influenza-like illness to PMK hospital (inpatient and outpatient) from
2009-2014Deidentified_data_for_PLOS_2009_2014.csv
Thailand