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Syndromic recognition of influenza a infection in a low prevalence community setting

  • Po Yen Huang
  • , Ching Tai Huang*
  • , Kuo Chien Tsao
  • , Jung Jr Ye
  • , Shian Sen Shie
  • , Ming Yi Yang
  • , Hsieh Shong Leu
  • , Ping Cherng Chiang
  • , Yin Che Weng
  • *Corresponding author for this work
  • Chang Gung University
  • Min-Shen Weng Community Clinic

Research output: Contribution to journalJournal Article peer-review

4 Scopus citations

Abstract

Background: With epidemics of influenza A virus infection, people and medical professionals are all concerned about symptoms or syndromes that may indicate the infection with influenza A virus. Methodology/Principal Findings: A prospective study was performed at a community clinic of a metropolitan area. Throat swab was sampled for 3-6 consecutive adult patients with new episode (<3 days) of respiratory tract infection every weekday from Dec. 8, 2005 to Mar. 31, 2006. Demographic data, relevant history, symptoms and signs were recorded. Samples were processed with multiplex real time PCR for 9 common respiratory tract pathogens and by virus culture. Throat swab samples were positive for Influenza A virus with multiplex real time PCR system in 12 of 240 patients. The 12 influenza A positive cases were with more clusters and chills than the other 228. Certain symptoms and syndromes increased the likelihood of influenza A virus infection. The syndrome of high fever plus chills plus cough, better with clustering of cases in household or workplace, is with the highest likelihood (positive likelihood ratio 95; 95% CI 12-750). Absence of both cluster and chills provides moderate evidence against the infection (negative likelihood ratio 0.51; 95% CI 0.29-0.90). Conclusions/Significance: Syndromic recognition is not diagnostic but is useful for discriminating between influenza A infection and common cold. In addition to relevant travel history, confirmatory molecular test can be applied to subjects with high likelihood when the disease prevalence is low.

Original languageEnglish
Article numbere10542
JournalPLoS ONE
Volume5
Issue number5
DOIs
StatePublished - 2010
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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