ArticleTropical medicine and infectious disease2022
Prognostic Indicators for the Early Prediction of Severe Dengue Infection: A Retrospective Study in a University Hospital in Thailand.
Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prognostic Models in Patients with Dengue: A Systematic Review.The American journal of tropical medicine and hygiene · 2025Pooled it
- Assessing the knowledge, attitudes, and practices (KAP) of dengue in Thailand: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 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
- Multilayer Fluorescent Immunoassay for Early and Sensitive Dengue Virus Detection Using Host and Viral Biomarkers.Bioconjugate chemistry · 2025Article
- Article
- High prevalence of dengue with warning signs but absence of severe cases in Vietnamese pediatric patients: an analysis of predictive factors.Le infezioni in medicina · 2025Article
- Clinical and Laboratory Features and Treatment Outcomes of Dengue Fever in Pediatric Cases.Cureus · 2024Article
- Blood Urea Nitrogen-to-Serum Albumin Ratio Predicts Fatal Outcomes in Severe Fever with Thrombocytopenia Syndrome Patients.The American journal of tropical medicine and hygiene · 2024Article
- Aspartate Aminotransferase-to-Platelet Ratio Index (APRI) as a Novel Score in Early Detection of Complicated Dengue Fever.Journal of multidisciplinary healthcare · 2024Article
- Applicability of machine learning algorithm to predict the therapeutic intervention success in Brazilian smokers.PloS one · 2024Article
- Review
- Correction: Srisuphanunt et al. 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
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
This study aimed to develop simple diagnostic guidelines which would be useful for the early detection of severe dengue infections. Retrospective data of patients with dengue infection were reviewed. Patients with diagnosed dengue infection were categorized in line with the International Statistical Classification of Diseases (ICD-10): A90, dengue fever; A91, dengue hemorrhagic fever; and A910, dengue hemorrhagic fever with shock. A total of 302 dengue-infected patients were enrolled, of which 136 (45%) were male and 166 (55%) were female. Multivariate analysis was conducted to determine independent diagnostic predictors of severe dengue infection and to convert simple diagnostic guidelines into a scoring system for disease severity. Coefficients for significant predictors of disease severity generated by ordinal multivariable logistic regression analysis were transformed into item scores. The derived total scores ranged from 0 to 38.6. The cut-off score for predicting dengue severity was higher than 14, with an area under the receiver operating curve (AUROC) of 0.902. The predicted positive value (PPV) was 68.7% and the negative predictive value (NPV) was 94.1%. Our study demonstrates that several diagnostic parameters can be effectively combined into a simple score sheet with predictive value for the severity evaluation of dengue infection.
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