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Clinical predictors of dengue fever co-infected with leptospirosis among patients admitted for dengue fever – a pilot study

Overview of attention for article published in Journal of Biomedical Science, June 2017
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2 tweeters

Citations

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9 Dimensions

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60 Mendeley
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Title
Clinical predictors of dengue fever co-infected with leptospirosis among patients admitted for dengue fever – a pilot study
Published in
Journal of Biomedical Science, June 2017
DOI 10.1186/s12929-017-0344-x
Pubmed ID
Authors

Jeyanthi Suppiah, Shie-Yien Chan, Min-Wern Ng, Yam-Sim Khaw, Siew-Mooi Ching, Lailatul Akmar Mat-Nor, Naematul Ain Ahmad-Najimudin, Hui-Yee Chee

Abstract

Dengue and leptospirosis infections are currently two major endemics in Malaysia. Owing to the overlapping clinical symptoms between both the diseases, frequent misdiagnosis and confusion of treatment occurs. As a solution, the present work initiated a pilot study to investigate the incidence related to co-infection of leptospirosis among dengue patients. This enables the identification of more parameters to predict the occurrence of co-infection. Two hundred sixty eight serum specimens collected from patients that were diagnosed for dengue fever were confirmed for dengue virus serotyping by real-time polymerase chain reaction. Clinical, laboratory and demographic data were extracted from the hospital database to identify patients with confirmed leptospirosis infection among the dengue patients. Thus, frequency of co-infection was calculated and association of the dataset with dengue-leptospirosis co-infection was statistically determined. The frequency of dengue co-infection with leptospirosis was 4.1%. Male has higher preponderance of developing the co-infection and end result of shock as clinical symptom is more likely present among co-infected cases. It is also noteworthy that, DENV 1 is the common dengue serotype among all cases identified as dengue-leptospirosis co-infection in this study. The increasing incidence of leptospirosis among dengue infected patients has posed the need to precisely identify the presence of co-infection for the betterment of treatment without mistakenly ruling out either one of them. Thus, anticipating the possible clinical symptoms and laboratory results of dengue-leptospirosis co-infection is essential.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Student > Master 10 17%
Student > Bachelor 9 15%
Student > Doctoral Student 6 10%
Student > Postgraduate 3 5%
Other 12 20%
Unknown 9 15%
Readers by discipline Count As %
Medicine and Dentistry 23 38%
Biochemistry, Genetics and Molecular Biology 9 15%
Immunology and Microbiology 5 8%
Veterinary Science and Veterinary Medicine 4 7%
Agricultural and Biological Sciences 3 5%
Other 5 8%
Unknown 11 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 December 2019.
All research outputs
#10,088,146
of 16,410,475 outputs
Outputs from Journal of Biomedical Science
#487
of 776 outputs
Outputs of similar age
#147,612
of 269,989 outputs
Outputs of similar age from Journal of Biomedical Science
#2
of 2 outputs
Altmetric has tracked 16,410,475 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 776 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 34th percentile – i.e., 34% 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 269,989 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.