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      Clinical spectrum and predictors of severity of dengue among children in 2019 outbreak: a multicenter hospital-based study in Bangladesh

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          Abstract

          Background

          The mosquito-borne arboviral disease dengue has become a global public health concern. However, very few studies have reported atypical clinical features of dengue among children. Because an understanding of various spectrums of presentation of dengue is necessary for timely diagnosis and management, we aimed to document the typical and atypical clinical features along with predictors of severity among children with dengue during the largest outbreak in Bangladesh in 2019.

          Methods

          We conducted a cross-sectional study between August 15 and September 30, 2019. in eight tertiary level hospitals in Dhaka city. Children (aged < 15 years) with serologically confirmed dengue were conveniently selected for data collection through a structured questionnaire. Descriptive, inferential statistics, and multivariable logistic regression were used to analyze data.

          Results

          Among the 190 children (mean age 8.8 years, and male-female ratio 1.22:1) included in the analysis, respectively 71.1 and 28.9% children had non-severe and severe dengue. All children had fever with an average temperature of 103.3 ± 1.2 F (SD). Gastrointestinal symptoms were the most common associated feature, including mostly vomiting (80.4%), decreased appetite (79.5%), constipation (72.7%), and abdominal pain (64.9%). Mouth sore, a less reported feature besides constipation, was present in 28.3% of children. Atypical clinical features were mostly neurological, with confusion (21.3%) being the predominant symptom. Frequent laboratory abnormalities were thrombocytopenia (87.2%), leucopenia (40.4%), and increased hematocrit (13.4%). Age (AOR 0.86, 95%CI 0.75–0.98, p = 0.023), mouth sore (AOR 2.69, 95%CI 1.06–6.96, p = 0.038) and a decreased platelet count (< 50,000/mm 3) with increased hematocrit (> 20%) (AOR 4.94, 95%CI 1.48–17.31, p = 0.01) were significant predictors of severity.

          Conclusions

          Dengue in children was characterized by a high severity, predominance of gastrointestinal symptoms, and atypical neurological presentations. Younger age, mouth sores, and a decreased platelet with increased hematocrit were significant predictors of severity. Our findings would contribute to the clinical management of dengue in children.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12887-021-02947-y.

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          Most cited references53

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            The global distribution and burden of dengue

            Dengue is a systemic viral infection transmitted between humans by Aedes mosquitoes 1 . For some patients dengue is a life-threatening illness 2 . There are currently no licensed vaccines or specific therapeutics, and substantial vector control efforts have not stopped its rapid emergence and global spread 3 . The contemporary worldwide distribution of the risk of dengue virus infection 4 and its public health burden are poorly known 2,5 . Here we undertake an exhaustive assembly of known records of dengue occurrence worldwide, and use a formal modelling framework to map the global distribution of dengue risk. We then pair the resulting risk map with detailed longitudinal information from dengue cohort studies and population surfaces to infer the public health burden of dengue in 2010. We predict dengue to be ubiquitous throughout the tropics, with local spatial variations in risk influenced strongly by rainfall, temperature and the degree of urbanisation. Using cartographic approaches, we estimate there to be 390 million (95 percent credible interval 284-528) dengue infections per year, of which 96 million (67-136) manifest apparently (any level of clinical or sub-clinical severity). This infection total is more than three times the dengue burden estimate of the World Health Organization 2 . Stratification of our estimates by country allows comparison with national dengue reporting, after taking into account the probability of an apparent infection being formally reported. The most notable differences are discussed. These new risk maps and infection estimates provide novel insights into the global, regional and national public health burden imposed by dengue. We anticipate that they will provide a starting point for a wider discussion about the global impact of this disease and will help guide improvements in disease control strategies using vaccine, drug and vector control methods and in their economic evaluation. [285]
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              The current and future global distribution and population at risk of dengue

              Dengue is a mosquito-borne viral infection that has spread throughout the tropical world over the past 60 years and now affects over half the world’s population. The geographical range of dengue is expected to further expand due to ongoing global phenomena including climate change and urbanization. We applied statistical mapping techniques to the most extensive database of case locations to date to predict global environmental suitability for the virus as of 2015. We then made use of climate, population and socioeconomic projections for the years 2020, 2050 and 2080 to project future changes in virus suitability and human population at risk. This study is the first to consider the spread of Aedes mosquito vectors to project dengue suitability. Our projections provide a key missing piece of evidence for the changing global threat of vector-borne disease and will help decision-makers worldwide to better prepare for and respond to future changes in dengue risk.
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                Author and article information

                Contributors
                sorowar.hossain@brfbd.org
                Journal
                BMC Pediatr
                BMC Pediatr
                BMC Pediatrics
                BioMed Central (London )
                1471-2431
                29 October 2021
                29 October 2021
                2021
                : 21
                : 478
                Affiliations
                [1 ]GRID grid.512192.c, Department of Emerging and Neglected Diseases, , Biomedical Research Foundation, ; Dhaka, Bangladesh
                [2 ]GRID grid.8198.8, ISNI 0000 0001 1498 6059, Sir Salimullah Medical College and Mitford Hospital, ; Dhaka, Bangladesh
                [3 ]GRID grid.420060.0, ISNI 0000 0004 0371 3380, Medicine Unit 1, BIRDEM, ; Dhaka, Bangladesh
                [4 ]GRID grid.413674.3, ISNI 0000 0004 5930 8317, Department of Medicine, , Dhaka Medical College & Hospital, ; Dhaka, Bangladesh
                [5 ]GRID grid.508006.b, ISNI 0000 0004 5933 2106, Department of Medicine, , Shaheed Suhrawardy Medical College & Hospital, ; Dhaka, Bangladesh
                [6 ]GRID grid.413674.3, ISNI 0000 0004 5930 8317, Department of Paediatrics, , Dhaka Medical College & Hospital, ; Dhaka, Bangladesh
                [7 ]Department of Paediatrics, MH Samorita Hospital and Medical College, Dhaka, Bangladesh
                [8 ]GRID grid.443005.6, ISNI 0000 0004 0443 2564, School of Environment and Life Sciences, , Independent University, ; Dhaka, Bangladesh
                Article
                2947
                10.1186/s12887-021-02947-y
                8555185
                34715835
                afd1501f-b11c-4252-9215-c2f18c523feb
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 26 July 2021
                : 7 October 2021
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Pediatrics
                dengue,children,pediatric,severity predictors,2019 outbreak,dhaka,bangladesh
                Pediatrics
                dengue, children, pediatric, severity predictors, 2019 outbreak, dhaka, bangladesh

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