ArticleFrontiers in nutrition2025
Development and validation of a novel nutrition-inflammation prognostic score for predicting 30-day mortality in critically ill stroke 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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3 citing papers in PubMed.
- Understanding and applying machine learning in differentiating abdominal IgA vasculitis without purpura from appendicitis.Pediatric research · 2026Article
- Peripheral blood cells and immune checkpoint inhibitor-associated myocarditis: a retrospective clinical study with pharmacovigilance and single-cell analysis.Frontiers in immunology · 2026Article
- A nomogram prediction model for 30-day mortality risk in severe cerebral infarction patients integrating inflammation-related indicators and APACHE II score.Frontiers in neurology · 2026Article
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2 authors.
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Abstract
Objectives: Malnutrition and systemic inflammation are common in critically ill stroke patients and contribute to poor outcomes. This study aimed to develop and validate a novel nutrition-inflammation prognostic score to predict critically ill stroke patients 30-day mortality and compare its performance with existing scores. Methods: In this retrospective study, a total of 926 critically ill stroke patients were included. The training cohort ( Results: Higher CAND scores were independently associated with increased 30-day mortality risk in both the training cohort [hazard ratio (HR) = 3.273; 95% CI: 2.413-4.437; Conclusions: The CAND score, based on four objective biomarkers selected via machine learning, is a reliable and practical tool for early mortality risk stratification in critically ill stroke patients. Its application may inform timely clinical decision-making and targeted nutritional strategies.
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