ArticleCritical care (London, England)2025
Severe dengue in adults admitted to intensive care units on réunion island: clinical spectrum, outcomes, and predictors of mortality.
Article in Critical care (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Article
- Severe dengue in hospitalized adults at two tertiary referral hospitals in northern Vietnam: clinical features and outcomes.Tropical medicine and health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSince 2017, Réunion Island has experienced successive dengue epidemics involving the co-circulation of DENV-1 and DENV-2 serotypes, leading to an increased number of severe cases. This study aimed to describe the clinical characteristics outcomes, and predictors of in-hospital mortality among adults admitted to intensive care units (ICUs) for severe dengue.
methodsWe conducted a multicenter retrospective study including all adults admitted to the five ICUs of Réunion Island between January 2017 and December 2022 with laboratory-confirmed severe dengue (SD), as defined by U.S. Centers for Disease Control and Prevention criteria. Clinical, biological, and outcome data were collected from electronic records. Significant variables in univariate analysis (p < 0.05) were entered into a multivariate logistic regression model to identify independent predictors of mortality.
resultsAmong 72.434 confirmed dengue cases, 2.817 required hospitalization and 137 SD were admitted to ICUs (1.8 per 1,000 infections). The median age was 63 years (IQR 50–70), and 62% were male. Circulatory failure occurred in 62% of cases including 12% with distributive shock and 9% with myocarditis; six patients required veno-arterial extra corporeal membrane oxygenation (VA-ECMO). Hepatic and renal failures were respectively observed in 50% and 59% of patients and neurological presentations occurred in 13 patients (9%). Co-infection were present in 33% of cases and fifty-two patients (38%) were admitted with an initial diagnosis other than dengue. Despite thrombocytopenia in 78% of cases, hemorrhagic events were uncommon. The in-hospital mortality rate was 25%. Catecholamine use (OR 4.71 [1.58–14.07], p = 0.005) and respiratory rate at admission (OR 1.10 [1.03–1.17], p = 0.004) were independent predictors of mortality.
conclusionsSD on Réunion Island exhibited a wide clinical spectrum in ICUs and was associated with substantial mortality, primarily due to multiple organ failure rather than hemorrhagic complications. Co-infections were common, and comorbidities likely contributed to unfavorable outcomes. Early identification and optimal management of shock and organ dysfunction remain essential to improving survival during future dengue outbreaks.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.