Literature DB >> 22633701

Field performance of clinical case definitions for influenza screening during the 2009 pandemic.

Shey-Ying Chen1, Yee-Chun Chen, Wen-Chu Chiang, Hsiang-Chi Kung, Chwan-Chuen King, Mei-Shu Lai, Wei-Chu Chie, Shyr-Chyr Chen, Wen-Jone Chen, Shan-Chwen Chang.   

Abstract

PURPOSE: The aim of this study was to assess the performance of 3 different influenza-like illness (ILI) case definitions, adopted by the European (European-CDC), USA (USA-CDC), and Taiwan Centers for Disease Prevention and Control (Taiwan-CDC), as screening tools for influenza during the 2009 H1N1 pandemic.
METHODS: From August 15 to 30, 2009, all emergency department patients with clinical symptoms or at epidemiologic risk for influenza were enrolled in an observational cohort study. Influenza diagnosis was established by positive rapid influenza diagnostic test or virus isolation. Sensitivity, specificity, positive predictive value, and negative predictive value of the European-, USA, and Taiwan-CDC ILI case definitions for screening were determined.
RESULTS: A total of 870 patients were screened during the study period. Rapid influenza diagnostic test was positive in 315 patients, 273 (85.6%) of whom had fever duration less than 72 hours. Virus isolation identified 4 more patients with influenza A initially negative by rapid influenza diagnostic test. The mean (SD) age of these 319 patients was 24.3 (18.1) years. Of the 870 screened patients, 670 (77.0%), 476 (54.7%), and 325 (37.4%) met the European-, USA-, and Taiwan-CDC ILI case definition, respectively. Screening sensitivity was 95%, 77.7%, and 57.7% and specificity was 33.4%, 58.6%, and 74.4%, respectively. Differences in sensitivity and specificity between any 2 of the 3 groups were statistically significant (P < .05).
CONCLUSION: First-line physicians should recognize the advantage and limitation of different ILI case definitions in influenza screening, especially confronted by pandemic or highly pathogenic avian influenza in the future.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22633701     DOI: 10.1016/j.ajem.2012.02.016

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  8 in total

1.  Performance of case definitions used for influenza surveillance among hospitalized patients in a rural area of India.

Authors:  Siddhivinayak Hirve; Mandeep Chadha; Pallavi Lele; Kathryn E Lafond; Avinash Deoshatwar; Somnath Sambhudas; Sanjay Juvekar; Anthony Mounts; Fatimah Dawood; Renu Lal; Akhilesh Mishra
Journal:  Bull World Health Organ       Date:  2012-10-10       Impact factor: 9.408

2.  Evaluation of two influenza surveillance systems in South Africa.

Authors:  Eric Budgell; Adam L Cohen; Jo McAnerney; Sibongile Walaza; Shabir A Madhi; Lucille Blumberg; Halima Dawood; Kathleen Kahn; Stefano Tempia; Marietjie Venter; Cheryl Cohen
Journal:  PLoS One       Date:  2015-03-30       Impact factor: 3.240

3.  Influenza and other respiratory viruses detected by influenza-like illness surveillance in Leyte Island, the Philippines, 2010-2013.

Authors:  Hirono Otomaru; Taro Kamigaki; Raita Tamaki; Jamie Opinion; Arlene Santo; Edgard Daya; Michiko Okamoto; Mariko Saito; Veronica Tallo; Soccoro Lupisan; Akira Suzuki; Hitoshi Oshitani
Journal:  PLoS One       Date:  2015-04-20       Impact factor: 3.240

4.  Using a community based survey of healthcare seeking behavior to estimate the actual magnitude of influenza among adults in Beijing during 2013-2014 season.

Authors:  Xiaoli Wang; Shuangsheng Wu; Peng Yang; Hongjun Li; Yanhui Chu; Yaqing Tang; Weiyu Hua; Haiyan Zhang; Chao Li; Quanyi Wang
Journal:  BMC Infect Dis       Date:  2017-02-03       Impact factor: 3.090

5.  Clinical diagnosis of pandemic A(H1N1) 2009 influenza in children with negative rapid influenza diagnostic test by lymphopenia and lower C-reactive protein levels.

Authors:  Lin Wang; Ling-Sai Chang; Ing-Kit Lee; Kuo-Shu Tang; Chung-Chen Li; Hock-Liew Eng; Huey-Ling You; Kuender D Yang
Journal:  Influenza Other Respir Viruses       Date:  2013-11-07       Impact factor: 4.380

6.  Predictive Symptoms and Signs of Laboratory-confirmed Influenza: A Prospective Surveillance Study of Two Metropolitan Areas in Taiwan.

Authors:  Jeng-How Yang; Po-Yen Huang; Shian-Sen Shie; Shuan Yang; Kuo-Chien Tsao; Tsu-Lan Wu; Hsieh-Shong Leu; Ching-Tai Huang
Journal:  Medicine (Baltimore)       Date:  2015-11       Impact factor: 1.889

7.  Appropriateness of emergency care use: a retrospective observational study based on professional versus patients' perspectives in Taiwan.

Authors:  Chih-Yuan Lin; Yue-Chune Lee
Journal:  BMJ Open       Date:  2020-05-11       Impact factor: 2.692

8.  Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study.

Authors:  Hyunwoo Choo; Myeongchan Kim; Jiyun Choi; Jaewon Shin; Soo-Yong Shin
Journal:  J Med Internet Res       Date:  2020-10-29       Impact factor: 5.428

  8 in total

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