ArticleISRN pediatrics2013
Development of dengue infection severity score.
Article in ISRN pediatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic Models in Patients with Dengue: A Systematic Review.The American journal of tropical medicine and hygiene · 2025Pooled it
- Quantifying the kinetics of hematocrit and platelet count during febrile phase to develop a scoring system for predicting dengue shock syndrome in adults: A matched case - control study from a Hospital in Viet Nam.PLoS neglected tropical diseases · 2026Article
- Prognostic prediction of dengue hemorrhagic fever in pediatric patients with suspected dengue infection: A multi-site study.PloS one · 2025Article
- Comparison of clinical and laboratory characteristics between severe and non-severe dengue in paediatrics.PLoS neglected tropical diseases · 2023Article
- Direct and indirect effects of age on dengue severity: The mediating role of secondary infection.PLoS neglected tropical diseases · 2023Article
- Development and Validation of a Bedside Dengue Severity Score for Predicting Severe Dengue in Children.Indian pediatrics · 2023Article
- Development and Utility of Practical Indicators of Critical Outcomes in Dengue Patients Presenting to Hospital: A Retrospective Cross-Sectional Study.Tropical medicine and infectious disease · 2023Article
- Association of Liver Function Test with Severity of Dengue Fever in Suburbs of Islamabad.Journal of community hospital internal medicine perspectives · 2023Article
- Clinico-demographic Profile and Predictors of Intensive Care Need in Children with Respiratory Syncytial Virus-associated Acute Lower Respiratory Illness during Its Recent Outbreak alongside Ongoing COVID-19 Pandemic: An Eastern Indian Perspective.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022Article
- Prognostic Indicators for the Early Prediction of Severe Dengue Infection: A Retrospective Study in a University Hospital in Thailand.Tropical medicine and infectious disease · 2022Article
- A double whammy: The association between comorbidities and severe dengue among adult patients-A matched case-control study.PloS one · 2022Article
- Predictive scoring system for risk of complications in pediatric dengue infection.F1000Research · 2022Article
- Identification of predictors and model for predicting prolonged length of stay in dengue patients.Health care management science · 2021Article
- Article
- Effect of Blastocystis sp. in dengue patients-Increase in the treatment cost and exacerbation of symptoms.PloS one · 2019Article
- Development of a Prognostic Prediction Model to Determine Severe Dengue in Children.Indian journal of pediatrics · 2018Article
- Mortality Predictors in Patients with Severe Dengue in the State of Amazonas, Brazil.PloS one · 2016Article
- Development of a Simple Clinical Risk Score for Early Prediction of Severe Dengue in Adult Patients.PloS one · 2016Article
- A Prognostic Model for Development of Profound Shock among Children Presenting with Dengue Shock Syndrome.PloS one · 2015Observational
- Validation of dengue infection severity score.Risk management and healthcare policy · 2014Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives. To develop a simple scoring system to predict dengue infection severity based on patient characteristics and routine clinical profiles. Methods. Retrospective data of children with dengue infection from 3 general hospitals in Thailand were reviewed. Dengue infection was categorized into 3 severity levels: dengue infection (DF), dengue hemorrhagic fever (DHF), and dengue shock syndrome (DSS). Coefficients of significant predictors of disease severity under ordinal regression analysis were transformed into item scores. Total scores were used to classify patients into 3 severity levels. Results. Significant clinical predictors of dengue infection severity were age >6 years, hepatomegaly, hematocrit ≥40%, systolic pressure <90 mmHg, white cell count >5000 / μ L, and platelet ≤50000 / μ L. The derived total scores, which ranged from 0 to 18, classified patients into 3 severity levels: DF (scores <2.5, n = 451, 58.1%), DHF (scores 2.5-11.5, n = 276, 35.5%), and DSS (scores >11.5, n = 50, 6.4%). The derived score correctly classified patients into their original severity levels in 60.7%. An under-estimation of 25.7% and an over-estimation of 13.5% were clinically acceptable. Conclusions. The derived dengue infection severity score classified patients into DF, DHF, or DSS, correctly into their original severity levels. Validation of the score should be reconfirmed before application of routine practice.
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