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Atypical aetiology in patients hospitalised with community-acquired pneumonia is associated with age, gender and season; a data-analysis on four Dutch cohorts

Overview of attention for article published in BMC Infectious Diseases, June 2016
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Title
Atypical aetiology in patients hospitalised with community-acquired pneumonia is associated with age, gender and season; a data-analysis on four Dutch cohorts
Published in
BMC Infectious Diseases, June 2016
DOI 10.1186/s12879-016-1641-9
Pubmed ID
Authors

Vivian M. Raeven, Simone M. C. Spoorenberg, Wim G. Boersma, Ewoudt M. W. van de Garde, Suzanne C. Cannegieter, G. P. Paul Voorn, Willem Jan W. Bos, Jim E. van Steenbergen, On behalf of the Alkmaar study group, On behalf of the Ovidius study group

Abstract

Microorganisms causing community-acquired pneumonia (CAP) can be categorised into viral, typical and atypical (Legionella species, Coxiella burnetii, Mycoplasma pneumoniae, and Chlamydia species). Extensive microbiological testing to identify the causative microorganism is not standardly recommended, and empiric treatment does not always cover atypical pathogens. In order to optimize epidemiologic knowledge of CAP and to improve empiric antibiotic choice, we investigated whether atypical microorganisms are associated with a particular season or with the patient characteristics age, gender, or chronic obstructive pulmonary disease (COPD). A data-analysis was performed on databases from four prospective studies, which all included adult patients hospitalised with CAP in the Netherlands (N = 980). All studies performed extensive microbiological testing. A main causative agent was identified in 565/980 (57.7 %) patients. Of these, 117 (20.7 %) were atypical microorganisms. This percentage was 40.4 % (57/141) during the non-respiratory season (week 20 to week 39, early May to early October), and 67.2 % (41/61) for patients under the age of 60 during this season. Factors that were associated with atypical causative agents were: CAP acquired in the non-respiratory season (odds ratio (OR) 4.3, 95 % CI 2.68-6.84), age <60 year (OR 2.9, 95 % CI 1.83-4.66), male gender (OR 1.7, 95 % CI 1.06-2.71) and absence of COPD (OR 0.2, 95 % CI 0.12-0.52). Atypical causative agents in CAP are associated with respectively non-respiratory season, age <60 years, male gender and absence of COPD. Therefore, to maximise its yield, extensive microbiological testing should be considered in patients <60 years old who are admitted with CAP from early May to early October. NCT00471640 , NCT00170196 (numbers of original studies).

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Sweden 1 1%
Unknown 67 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Master 11 16%
Other 8 12%
Student > Ph. D. Student 8 12%
Lecturer 4 6%
Other 12 17%
Unknown 13 19%
Readers by discipline Count As %
Medicine and Dentistry 29 42%
Immunology and Microbiology 5 7%
Agricultural and Biological Sciences 4 6%
Biochemistry, Genetics and Molecular Biology 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 6 9%
Unknown 19 28%
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 21 June 2016.
All research outputs
#15,377,977
of 22,877,793 outputs
Outputs from BMC Infectious Diseases
#4,483
of 7,691 outputs
Outputs of similar age
#222,948
of 352,647 outputs
Outputs of similar age from BMC Infectious Diseases
#87
of 163 outputs
Altmetric has tracked 22,877,793 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,691 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,647 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.