ArticleBiomarkers in medicine2025
A LASSO-based integrative model of serum biomarkers and gene polymorphisms for predicting poor sepsis prognosis.
Article in Biomarkers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- The enigma of vascular dementia: current state and emerging perspectives.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Development and validation of a nomogram for predicting hospitalization-associated disability in older patients with acute heart failure.Frontiers in cardiovascular medicine · 2026Article
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8 authors.
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Abstract
backgroundThe integration of serum biomarkers and gene polymorphisms may enhance early prognostic assessment in sepsis. Early and accurate prediction of outcomes is crucial for optimizing treatment strategies and improving survival. However, the clinical utility of combining genetic markers with conventional inflammatory indicators remains insufficiently validated.
methodsIn this retrospective cohort (
results6 predictors were retained - PCT, CRP, lactate (LAC), lactate clearance rate (LCR), TLR4 rs4986790, and PPARγ rs1801282. The nomogram achieved AUC 0.885 (95% CI 0.812-0.943) with sensitivity 88.6% and specificity 73.9%; calibration was good (H - L χ
conclusionThis integrative biomarker-genotype model demonstrated strong internal performance and potential clinical utility for individualized risk stratification in sepsis. The results support combining genetic susceptibility and inflammatory biomarkers for enhanced prognostic precision, although external and multi-ethnic validation remains warranted before widespread adoption.
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