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Detection of pathogens by real-time PCR in adult patients with acute exacerbation of bronchial asthma

Overview of attention for article published in BMC Pulmonary Medicine, November 2017
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Title
Detection of pathogens by real-time PCR in adult patients with acute exacerbation of bronchial asthma
Published in
BMC Pulmonary Medicine, November 2017
DOI 10.1186/s12890-017-0494-3
Pubmed ID
Authors

Yutaka Yoshii, Kenichiro Shimizu, Miyuki Morozumi, Naoko Chiba, Kimiko Ubukata, Hironori Uruga, Shigeo Hanada, Hiroshi Wakui, Shunsuke Minagawa, Hiromichi Hara, Takanori Numata, Keisuke Saito, Jun Araya, Katsutoshi Nakayama, Kazuma Kishi, Kazuyoshi Kuwano

Abstract

Respiratory tract infection is a major cause of acute exacerbation of bronchial asthma (AEBA). Although recent findings suggest that common bacteria are causally associated with AEBA, a comprehensive epidemiologic analysis of infectious pathogens including common/atypical bacteria and viruses in AEBA has not been performed. Accordingly, we attempted to detect pathogens during AEBA by using real-time polymerase chain reaction (PCR) in comparison to conventional methods. We prospectively enroled adult patients with AEBA from August 2012 to March 2014. Infectious pathogens collected in nasopharyngeal swab and sputum samples were examined in each patient by conventional methods and real-time PCR, which can detect 6 bacterial and 11 viral pathogens. The causal association of these pathogens with AEBA severity and their frequency of monthly distribution were also examined. Among the 64 enroled patients, infectious pathogens were detected in 49 patients (76.6%) using real-time PCR and in 14 patients (21.9%) using conventional methods (p < 0.001). Real-time PCR detected bacteria in 29 patients (45.3%) and respiratory viruses in 28 patients (43.8%). Haemophilus influenzae was the most frequently detected microorganism (26.6%), followed by rhinovirus (15.6%). Influenza virus was the significant pathogen associated with severe AEBA. Moreover, AEBA occurred most frequently during November to January. Real-time PCR was more useful than conventional methods to detect infectious pathogens in patients with AEBA. Accurate detection of pathogens with real-time PCR may enable the selection of appropriate anti-bacterial/viral agents as a part of the treatment for AEBA.

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The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 17%
Researcher 8 15%
Other 5 9%
Student > Ph. D. Student 4 8%
Student > Master 4 8%
Other 8 15%
Unknown 15 28%
Readers by discipline Count As %
Medicine and Dentistry 15 28%
Immunology and Microbiology 8 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Veterinary Science and Veterinary Medicine 2 4%
Agricultural and Biological Sciences 2 4%
Other 7 13%
Unknown 17 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 November 2017.
All research outputs
#14,635,004
of 24,942,536 outputs
Outputs from BMC Pulmonary Medicine
#846
of 2,202 outputs
Outputs of similar age
#222,473
of 449,785 outputs
Outputs of similar age from BMC Pulmonary Medicine
#37
of 82 outputs
Altmetric has tracked 24,942,536 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,202 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 449,785 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.