ArticleFrontiers in nutrition2025
Development and validation of a nutrition-integrated nomogram for predicting 28-day mortality in sepsis patients.
Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Comparative Prognostic Accuracy of Objective Nutritional Indices in Critically Ill Patients with Sepsis: A Systematic Review and Meta-Analysis.Journal of clinical medicine · 2026Review
- Article
- Baseline and dynamic CALLY index changes predict mortality in sepsis-associated acute kidney injury: a two-center retrospective cohort study.Frontiers in nutrition · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Background: Sepsis is a life-threatening condition with high mortality, necessitating early risk stratification. This study aimed to develop and validate a predictive nomogram for 28-day mortality in sepsis patients incorporating machine learning-selected biomarkers. Methods: A total of 1,350 sepsis patients were retrospectively enrolled and divided into training ( Results: Six biomarkers consistently selected by both LASSO and RF were: procalcitonin (PCT), prognostic nutritional index (PNI), red blood cell count (RBC), platelet count (PLT), alanine aminotransferase (ALT), and indirect bilirubin (IBIL). Non-survivors exhibited significantly higher levels of PCT, ALT, and IBIL, and lower levels of RBC, PLT, and PNI compared to survivors (all Conclusion: We developed and validated a clinically useful nomogram incorporating nutrition-related biomarkers, particularly PNI, for predicting 28-day mortality in sepsis patients. The model demonstrates robust performance and highlights the importance of nutritional status in sepsis outcomes.
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