Literature DB >> 15728170

Does this patient have influenza?

Stephanie A Call1, Mark A Vollenweider, Carlton A Hornung, David L Simel, W Paul McKinney.   

Abstract

CONTEXT: Influenza vaccination lowers, but does not eliminate, the risk of influenza. Making a reliable, rapid clinical diagnosis is essential to appropriate patient management that may be especially important during shortages of antiviral agents caused by high demand.
OBJECTIVES: To systematically review the precision and accuracy of symptoms and signs of influenza. A secondary objective was to review the operating characteristics of rapid diagnostic tests for influenza (results available in <30 min). DATA SOURCES: Structured search strategy using MEDLINE (January 1966-September 2004) and subsequent searches of bibliographies of retrieved articles to identify articles describing primary studies dealing with the diagnosis of influenza based on clinical signs and symptoms. The MEDLINE search used the Medical Subject Headings EXP influenza or EXP influenza A virus or EXP influenza A virus human or EXP influenza B virus and the Medical Subject Headings or terms EXP sensitivity and specificity or EXP medical history taking or EXP physical examination or EXP reproducibility of results or EXP observer variation or symptoms.mp or clinical signs.mp or sensitivity.mp or specificity.mp. STUDY SELECTION: Of 915 identified articles on clinical assessment of influenza-related illness, 17 contained data on the operating characteristics of symptoms and signs using an independent criterion standard. Of these, 11 were eliminated based on 4 inclusion criteria and availability of nonduplicative primary data. DATA EXTRACTION: Two authors independently reviewed and abstracted data for estimating the likelihood ratios (LRs) of clinical diagnostic findings. Differences were resolved by discussion and consensus. DATA SYNTHESIS: No symptom or sign had a summary LR greater than 2 in studies that enrolled patients without regard to age. For decreasing the likelihood of influenza, the absence of fever (LR, 0.40; 95% confidence interval [CI], 0.25-0.66), cough (LR, 0.42; 95% CI, 0.31-0.57), or nasal congestion (LR, 0.49; 95% CI, 0.42-0.59) were the only findings that had summary LRs less than 0.5. In studies limited to patients aged 60 years or older, the combination of fever, cough, and acute onset (LR, 5.4; 95% CI, 3.8-7.7), fever and cough (LR, 5.0; 95% CI, 3.5-6.9), fever alone (LR, 3.8; 95% CI, 2.8-5.0), malaise (LR, 2.6; 95% CI, 2.2-3.1), and chills (LR, 2.6; 95% CI, 2.0-3.2) increased the likelihood of influenza to the greatest degree. The presence of sneezing among older patients made influenza less likely (LR, 0.47; 95% CI, 0.24-0.92).
CONCLUSIONS: Clinical findings identify patients with influenza-like illness but are not particularly useful for confirming or excluding the diagnosis of influenza. Clinicians should use timely epidemiologic data to ascertain if influenza is circulating in their communities, then either treat patients with influenza-like illness empirically or obtain a rapid influenza test to assist with management decisions.

Entities:  

Mesh:

Year:  2005        PMID: 15728170     DOI: 10.1001/jama.293.8.987

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  118 in total

1.  Autopsy series of 68 cases dying before and during the 1918 influenza pandemic peak.

Authors:  Zong-Mei Sheng; Daniel S Chertow; Xavier Ambroggio; Sherman McCall; Ronald M Przygodzki; Robert E Cunningham; Olga A Maximova; John C Kash; David M Morens; Jeffery K Taubenberger
Journal:  Proc Natl Acad Sci U S A       Date:  2011-09-19       Impact factor: 11.205

2.  Improved diagnostic accuracy of group A streptococcal pharyngitis with use of real-time biosurveillance.

Authors:  Andrew M Fine; Victor Nizet; Kenneth D Mandl
Journal:  Ann Intern Med       Date:  2011-09-20       Impact factor: 25.391

3.  Towards a simulation environment for modeling of local influenza outbreaks.

Authors:  Toomas Timpka; Magnus Morin; Johan Jenvald; Henrik Eriksson; Elin Gursky
Journal:  AMIA Annu Symp Proc       Date:  2005

4.  Antibiotics in pandemic flu.

Authors:  Marc J M Bonten; Jan M Prins
Journal:  BMJ       Date:  2006-02-04

5.  Pandemic flu: clinical management of patients with an influenza-like illness during an influenza pandemic. Provisional guidelines from the British Infection Society, British Thoracic Society, and Health Protection Agency in collaboration with the Department of Health.

Authors: 
Journal:  Thorax       Date:  2007-01       Impact factor: 9.139

6.  Preparing for the next flu pandemic.

Authors:  Wei Shen Lim; Anne Thomson; Paul Little
Journal:  BMJ       Date:  2007-02-10

Review 7.  Influenza.

Authors:  Tom Jefferson
Journal:  BMJ Clin Evid       Date:  2009-03-12

Review 8.  Influenza.

Authors:  Eliana Ferroni; Tom Jefferson
Journal:  BMJ Clin Evid       Date:  2011-10-21

9.  Influenza vaccine response in adults exposed to perfluorooctanoate and perfluorooctanesulfonate.

Authors:  Claire Looker; Michael I Luster; Antonia M Calafat; Victor J Johnson; Gary R Burleson; Florence G Burleson; Tony Fletcher
Journal:  Toxicol Sci       Date:  2013-11-27       Impact factor: 4.849

10.  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

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