Elevated liver enzyme (AST and ALT) as biomarkers for severe dengue in Nepalese patients: a cross-sectional study

Elevated AST as a significant independent predictor of dengue with warning signs, and may serve as a valuable biomarker for early risk stratification. Additionally, female sex emerged as an independent risk factor for severe disease, a novel finding with potential implications for sex-specific risk stratification. The findings highlight the importance of liver function monitoring in dengue management. Despite strengths in structured assessment and comprehensive analysis, limitations including the cross-sectional design, convenience sampling, and fewer-center setting limit causal inference and generalizability. Future studies should validate these findings through prospective, multi-center research and explore sex-based risk profiles and the prognostic utility of dynamic liver enzyme monitoring.

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Publication Details

Journal
BMC Infectious Diseases
Published
2025-09-24
DOI
https://doi.org/10.1186/s12879-025-11549-3
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00
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article

Elevated liver enzyme (AST and ALT) as biomarkers for severe dengue in Nepalese patients: a cross-sectional study

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BMC Infectious Diseases
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Elevated liver enzyme (AST and ALT) as biomarkers for severe dengue in Nepalese patients: a cross-sectional study

Ajay K. Sah, Vaibhav Gupta, Surendra Uranw, Abhay Kumar Sah, Birendra Prasad Gupta, Chandramani Wagle, Dinesh Prasad Ghimire
article en

Abstract

Elevated AST as a significant independent predictor of dengue with warning signs, and may serve as a valuable biomarker for early risk stratification. Additionally, female sex emerged as an independent risk factor for severe disease, a novel finding with potential implications for sex-specific risk stratification. The findings highlight the importance of liver function monitoring in dengue management. Despite strengths in structured assessment and comprehensive analysis, limitations including the cross-sectional design, convenience sampling, and fewer-center setting limit causal inference and generalizability. Future studies should validate these findings through prospective, multi-center research and explore sex-based risk profiles and the prognostic utility of dynamic liver enzyme monitoring.

BMC Infectious DiseasesVol. 25(1)
Nepal Red Cross Society (NP), Mountain Medicine Society of Nepal (NP), Kathmandu University (NP), B.P. Koirala Institute of Health Sciences (NP)
Openalex Percentile: Top 65%
Mosquito-borne diseases and control
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