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Retrospective analysis of demographic and clinical factors associated with etiology of febrile respiratory illness among US military basic trainees

Overview of attention for article published in BMC Infectious Diseases, December 2014
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Title
Retrospective analysis of demographic and clinical factors associated with etiology of febrile respiratory illness among US military basic trainees
Published in
BMC Infectious Diseases, December 2014
DOI 10.1186/s12879-014-0576-2
Pubmed ID
Authors

Damaris S Padin, Dennis Faix, Stephanie Brodine, Hector Lemus, Anthony Hawksworth, Shannon Putnam, Patrick Blair

Abstract

BackgroundBasic trainees in the US military have historically been vulnerable to respiratory infections. Adenovirus and influenza are the most common etiological agents responsible for febrile respiratory illness (FRI) among trainees and present with similar clinical signs and symptoms. Identifying demographic and clinical factors associated with the primary viral pathogens causing FRI epidemics among trainees will help improve differential diagnosis and allow for appropriate distribution of antiviral medications. The objective of this study was to determine what demographic and clinical factors are associated with influenza and adenovirus among military trainees.MethodsSpecimens were systematically collected from military trainees meeting FRI case definition (fever ¿38.0 °C with either cough or sore throat; or provider-diagnosed pneumonia) at eight basic training centers in the USA. PCR and/or cell culture testing for respiratory pathogens were performed on specimens. Interviewer-administered questionnaires collected information on patient demographic and clinical factors. Polychotomous logistic regression was employed to assess the association between these factors and FRI outcome categories: laboratory-confirmed adenovirus, influenza, or other FRI. Sensitivity, specificity, positive and negative predictive value were calculated for individual predictors and clinical combinations of predictors.ResultsAmong 21,570 FRI cases sampled between 2004 and 2009, 63.6% were laboratory-confirmed adenovirus cases and 6.6% were laboratory-confirmed influenza cases. Subjects were predominantly young men (86.8% men; mean age 20.8¿±¿3.8 years) from Fort Jackson (18.8%), Great Lakes (17.1%), Fort Leonard Wood (16.3%), Marine Corps Recruit Depot (MCRD) San Diego (19.0%), Fort Benning (13.3%), Lackland (7.5%), MCRD Parris Island (8.7%), and Cape May (3.2%). The best multivariate predictors of adenovirus were the combination of sore throat (odds ratio [OR], 2.94; 95% confidence interval [CI], 2.66¿3.25), cough (OR, 2.33; 95% CI, 2.11¿2.57), and fever (OR, 2.07; 95% CI, 1.90¿2.26) with a PPV of 77% (p¿¿¿.05). A combination of cough, fever, training week 0¿2 and acute onset were most predictive of influenza (PPV =38%; p¿¿¿.05).ConclusionsSpecific demographic and clinical factors were associated with laboratory-confirmed influenza and adenovirus among military trainees. Findings from this study can guide clinicians in the diagnosis and treatment of military trainees presenting with FRI.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 21%
Student > Doctoral Student 4 17%
Professor > Associate Professor 3 13%
Other 2 8%
Student > Ph. D. Student 2 8%
Other 2 8%
Unknown 6 25%
Readers by discipline Count As %
Medicine and Dentistry 9 38%
Biochemistry, Genetics and Molecular Biology 2 8%
Social Sciences 2 8%
Agricultural and Biological Sciences 1 4%
Unspecified 1 4%
Other 2 8%
Unknown 7 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 December 2014.
All research outputs
#20,245,139
of 22,772,779 outputs
Outputs from BMC Infectious Diseases
#6,459
of 7,668 outputs
Outputs of similar age
#301,396
of 359,774 outputs
Outputs of similar age from BMC Infectious Diseases
#164
of 196 outputs
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