ArticleFrontiers in medicine2026
Hematologic and metabolic indices for predicting 28-day mortality in sepsis patients: a retrospective intensive care cohort study.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- The ICS triad in critical illness: a time-dependent pathological driver of mortality and organ dysfunction.Frontiers in medicine · 2026Article
- Admission inflammatory and immuno-nutritional indices and in-hospital mortality in emergency department patients admitted to intensive care: a retrospective cohort study.Frontiers in medicine · 2026Article
- Interpretable machine learning identifies immune-inflammatory and immunothrombotic biomarkers for myocardial injury and mortality risk stratification in severe pneumonia with diverse infectious etiologies.Frontiers in cellular and infection microbiology · 2026Article
- Complete blood count-derived myeloid-lymphoid inflammatory phenotype in rheumatoid arthritis complicated by acute myocardial infarction: an age- and sex-balanced retrospective study.Frontiers in medicine · 2026Article
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Abstract
Background: Sepsis remains a leading cause of mortality in critically ill patients, and early risk stratification is essential for improving clinical outcomes. Recently, hematological and metabolic indices derived from routine laboratory parameters have emerged as potential prognostic biomarkers. This study aimed to evaluate the predictive value of the hemoglobin-to-red cell distribution width ratio (HRR), red cell distribution width-to-albumin ratio (RAR), triglyceride-glucose (TyG) index, and uric acid-to-albumin ratio (UA/Alb) for 28-day mortality in patients with sepsis. Methods: This retrospective cohort study included 805 adult patients with sepsis admitted to the intensive care units of two tertiary centers between January 2020 and September 2025. Demographic data, clinical severity scores (qSOFA, SOFA, APACHE II, SAPS II), and laboratory parameters obtained within the first 24 h of ICU admission were analyzed. The primary outcome was 28-day all-cause mortality. Receiver operating characteristic (ROC) curve analysis was performed to assess discriminative performance, and logistic regression analyses were conducted to identify independent predictors of mortality. Results: Non-survivors had significantly higher disease severity scores and exhibited a distinct biochemical profile characterized by lower hemoglobin and albumin levels and higher RDW, uric acid, triglyceride, and glucose levels (all Conclusion: Hematological and metabolic indices are strongly associated with and may improve early prediction of mortality in septic patients. Among these, the UA/Alb demonstrated the highest discriminative performance in this cohort and remained associated with mortality after adjustment; however, its independence from established severity scores should be interpreted with caution.
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