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May 3, 20260 citations

Mortality predictors, hepatic involvement patterns, and the steatotic liver paradox in 1,484 hospitalized Dengue patients.

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ASAryalakshmi SreemohanATArif Hussain TheruvathABAmbily Baby

Key Points

  • This analysis aims to identify predictors of in-hospital mortality and explore the effects of hepatic involvement on outcomes in dengue patients.
  • Conducted a retrospective cohort analysis on 1,484 dengue patients from 2021 to 2024 at a tertiary-care center.
  • Patients were stratified based on liver status into groups with and without pre-existing liver conditions.
  • Used multivariable logistic regression to find independent mortality predictors and unsupervised clustering for clinical phenotype classification.
  • Overall in-hospital mortality rate was 5.1%, with 13.1% requiring intensive care admission.
  • Independent mortality predictors included severe dengue classification, ICU admission, elevated neutrophil-to-lymphocyte ratio, and hypoalbuminemia, with hypoalbuminemia being the strongest biomarker.
  • Patients with steatotic liver disease had improved survival compared to those without liver disease, revealing an 'obesity paradox' phenomenon.

Abstract

BACKGROUND AND OBJECTIVES: Dengue fever represents a major global health burden with hepatic involvement occurring in up to 90% of hospitalized patients. This study aimed to determine in-hospital mortality predictors, characterize clinical outcomes across graded hepatic injury phenotypes, and validate prognostic scoring systems in hospitalized dengue patients. A primary focus was assessing the impact of pre-existing liver conditions on disease trajectory and survival. METHODS: A retrospective cohort analysis was conducted on 1,484 patients with laboratory-confirmed dengue infection admitted to a tertiary-care center between 2021 and 2024. Patients were stratified by hepatic status into those with pre-existing chronic liver disease, non-chronic steatotic liver involvement, and no liver involvement. Multivariable logistic regression identified independent mortality predictors, while unsupervised clustering distinguished clinical phenotypes. The performance of physiological and liver-specific prognostic scores was evaluated against clinical outcomes. RESULTS: The overall in-hospital mortality rate was 5.1%, with 13.1% requiring intensive care admission. Independent predictors of mortality included severe dengue classification, intensive care unit admission, elevated neutrophil-to-lymphocyte ratio, and hypoalbuminemia, with albumin emerging as the strongest single biomarker for risk prediction. Paradoxically, patients with steatotic liver disease demonstrated improved survival compared to those without pre-existing liver disease, supporting an "obesity paradox" in this tropical infection context, whereas decompensated cirrhosis was associated with markedly adverse outcomes. The Albumin-Bilirubin grade successfully stratified hepatic risk, and the Simplified Acute Physiology Score-3 significantly outperformed the Sequential Organ Failure Assessment for predicting mortality in critically ill patients. Four distinct clinical phenotypes with differential mortality ranging from 3.0% to 100% were identified. CONCLUSIONS: Hypoalbuminemia serves as a critical, accessible prognostic marker in dengue fever. Pre-existing liver pathology demonstrates divergent impacts on outcomes, with steatotic liver disease potentially conferring survival advantage contrary to traditional metabolic risk assumptions. These findings support the utility of liver-specific scoring systems for acute risk stratification in dengue-endemic regions.

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Cite This Study

Sreemohan et al. (2026) studied this question.

synapsesocial.com/papers/69f6e5308071d4f1bdfc5f09https://doi.org/10.1371/journal.pone.0348232
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