ArticleMediators of inflammation2025
Comprehensive Analysis of the Correlation Between Immune-Inflammatory Biomarkers and Intestinal Necrosis in Patients With Acute Intestinal Ischemia.
Article in Mediators of inflammation, 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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2 citing papers in PubMed.
- Impact of surgical delay on bowel viability in internal hernia-related small bowel obstructon: a retrospective cohort study of clinical, imaging, and biochemical predictors of strangulation.BMC gastroenterology · 2026Article
- Comprehensive Analysis of the Correlation Between Immune-Inflammatory Biomarkers and Intestinal Necrosis in Patients With Acute Intestinal Ischemia.Mediators of inflammation · 2025Article
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5 authors.
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Abstract
Background: The relationship between immune-inflammatory biomarkers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) and intestinal necrosis in different types of acute intestinal ischemia remains unclear. Methods: A total of 138 patients with acute intestinal ischemia were divided into a nonnecrosis group ( Results: The optimal thresholds of NLR and SII for differentiating intestinal necrosis were 8.85 and 1492.11, respectively, while PLR showed no significant association. In Lasso-logistic regression analysis, vascular intestinal ischemia, NLR ≥ 8.85, SII≥ 1492.11, C-reactive protein (CRP), and D-dimer > 0.5 mg/L were independent risk factors for intestinal necrosis. After adjusting for potential confounding variables, the multivariate logistic regression analysis showed a positive correlation between natural logarithm (Ln)-NLR (OR = 20.187, 95% CI = 3.788-107.578, Conclusion: This study demonstrates that elevated levels of NLR and SII are significantly associated with intestinal necrosis, suggesting that these biomarkers may help identify patients at higher risk of intestinal necrosis in acute intestinal ischemia. However, prospective studies are needed to validate their predictive value.
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