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Dengue score: a proposed diagnostic predictor for pleural effusion and/or ascites in adults with dengue infection

Overview of attention for article published in BMC Infectious Diseases, July 2016
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Title
Dengue score: a proposed diagnostic predictor for pleural effusion and/or ascites in adults with dengue infection
Published in
BMC Infectious Diseases, July 2016
DOI 10.1186/s12879-016-1671-3
Pubmed ID
Authors

Suhendro Suwarto, Leonard Nainggolan, Robert Sinto, Bonita Effendi, Eppy Ibrahim, Maulana Suryamin, R. Tedjo Sasmono

Abstract

There are several limitations in diagnosing plasma leakage using the World Health Organization (WHO) guidelines of dengue hemorrhagic fever. We conducted a study to develop a dengue scoring system to predict pleural effusion and/or ascites using routine laboratory parameters. A prospective observational study was carried out at Cipto Mangunkusumo Hospital and Persahabatan Hospital, Jakarta, Indonesia. Dengue-infected adults admitted on the third febrile day from March, 2010 through August, 2015 were included in the study. A multivariate analysis was conducted to determine the independent diagnostic predictors of pleural effusion and/or ascites and to convert the prediction model into a scoring system. A total of 172 dengue-infected adults were enrolled in the study. Of the 172 patients, 101 (58.7 %) developed pleural effusion and/or ascites. A multivariate analysis was conducted to determine the independent diagnostic predictors of pleural effusion and/or ascites in dengue-infected adults. The predictors were scored based on the following calculations: hemoconcentration ≥15.1 % had a score of 1 (OR, 3.11; 95 % CI, 1.41-6.88), lowest albumin concentration at critical phase ≤3.49 mg/dL had a score of 1 (OR, 4.48; 95 % CI, 1.87-10.77), lowest platelet count ≤49,500/μL had a score of 1 (OR, 3.62; 95 % CI, 1.55-8.49), and elevated ratio of AST ≥2.51 had a score of 1 (OR 2.67; 95 % CI, 1.19-5.97). At a cut off of ≥ 2, the Dengue Score predicted pleural effusion and/or ascites diagnosis with positive predictive value of 79.21 % and negative predictive value of 74.63 %. This prediction model is suitable for calibration and good discrimination. We have developed a Dengue Score that could be used to identify pleural effusion and/or ascites and might be useful to stratify dengue-infected patients at risk for developing severe dengue.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Unknown 119 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 17%
Student > Master 16 13%
Student > Bachelor 12 10%
Other 10 8%
Student > Ph. D. Student 7 6%
Other 25 21%
Unknown 31 26%
Readers by discipline Count As %
Medicine and Dentistry 50 41%
Immunology and Microbiology 7 6%
Biochemistry, Genetics and Molecular Biology 6 5%
Agricultural and Biological Sciences 6 5%
Nursing and Health Professions 3 2%
Other 9 7%
Unknown 40 33%
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 13 July 2016.
All research outputs
#20,335,770
of 22,880,691 outputs
Outputs from BMC Infectious Diseases
#6,480
of 7,690 outputs
Outputs of similar age
#308,274
of 354,871 outputs
Outputs of similar age from BMC Infectious Diseases
#156
of 196 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,690 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 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.