ArticleBMC infectious diseases2021
Development of a bedside score to predict dengue severity.
Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Prognostic Models in Patients with Dengue: A Systematic Review.The American journal of tropical medicine and hygiene · 2025Pooled it
- Multicenter validation of a simple clinical risk score for early prediction of severe dengue among adults in Thailand.BMC infectious diseases · 2026Article
- The Effect of Increased Temperature on Dengue Virus in the VectorTropical medicine and infectious disease · 2026Article
- Derivation of a Simple Risk Scoring Scheme for Prediction of Severe Dengue Infection in Adult Patients in Thailand.Medical sciences (Basel, Switzerland) · 2025Article
- Prognostic Indicators of Severe Dengue Infection in Adult Patients in Thailand.Tropical medicine and infectious disease · 2025Article
- Risk Stratification of Dengue Cases Requiring Hospitalization.Journal of medical virology · 2025Article
- Aspartate Aminotransferase-to-Platelet Ratio Index (APRI) as a Novel Score in Early Detection of Complicated Dengue Fever.Journal of multidisciplinary healthcare · 2024Article
- 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
- Article
- Viral evolution sustains a dengue outbreak of enhanced severity.Emerging microbes & infections · 2021Article
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn 2017, New Caledonia experienced an outbreak of severe dengue causing high hospital burden (4379 cases, 416 hospital admissions, 15 deaths). We decided to build a local operational model predictive of dengue severity, which was needed to ease the healthcare circuit.
methodsWe retrospectively analyzed clinical and biological parameters associated with severe dengue in the cohort of patients hospitalized at the Territorial Hospital between January and July 2017 with confirmed dengue, in order to elaborate a comprehensive patient's score. Patients were compared in univariate and multivariate analyses. Predictive models for severity were built using a descending step-wise method.
resultsOut of 383 included patients, 130 (34%) developed severe dengue and 13 (3.4%) died. Major risk factors identified in univariate analysis were: age, comorbidities, presence of at least one alert sign, platelets count < 30 × 10
conclusionWe built robust and efficient models to calculate a bedside score able to predict dengue severity in our setting. We propose the spreadsheet for dengue severity score calculations to health practitioners facing dengue outbreaks of enhanced severity in order to improve patients' medical management and hospitalization flow.
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