ArticleEuropean journal of medical research2025
Neutrophil-to-lymphocyte ratio predicts mortality for sepsis-induced coagulopathy: a retrospective study.
Article in European journal of medical research, 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.
- CBC-derived inflammatory indices predict adverse outcomes in geriatric emergency patients with acute infectious diarrhea: a MIMIC-IV analysis.Scientific reports · 2026Article
- Prognostic Value of the Neutrophil-to-Lymphocyte Ratio for All-Cause Mortality in Patients With Cardiovascular-Kidney-Metabolic Stage 4.Mediators of inflammation · 2026Article
- Association between nutritional status and sepsis-induced coagulopathy: a multicenter retrospective cohort study.Frontiers in nutrition · 2026Article
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5 authors.
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Abstract
backgroundSepsis often leads to coagulation dysfunction, potentially progressing to disseminated intravascular coagulation (DIC), leading to higher mortality. Sepsis-induced coagulopathy (SIC), an early stage of DIC, benefits from early detection and intervention. Neutrophil-to-lymphocyte ratio (NLR) predicts mortality in inflammatory diseases, but its link to SIC mortality is unclear. This study explored NLR's relevance to clinical outcomes in SIC patients.
methodsSIC patients from the MIMIC-IV database were divided into four groups by NLR quartiles. The primary outcome was 28-day mortality, while secondary outcomes included 90-day and 1-year mortality, intensive care unit (ICU) and hospital mortality. The association between NLR and clinical outcomes in SIC patients was analyzed using Kaplan-Meier, Cox proportional hazards regression analysis, and restricted cubic spline (RCS) analysis.
resultsAmong 5323 SIC patients (60.49% male), the median NLR was 7.64 (IQR: 4.30-14.82). The 28-day mortality rate was 16.96% (903), with a higher NLR in non-survivors (12.01 vs. 7.02, P < 0.001), and with a difference of 4.99 (95% CI 3.38-4.62; Z = 13.5). Kaplan-Meier curves showed that higher NLR was linked to increased short- and long-term mortality. Adjusted Cox proportional hazards regression analysis showed that elevated NLR was significantly associated with increased 28-day mortality (HR: 1.36; 95% CI 1.16-1.59; P < 0.001). RCS analysis indicated a J-shaped relationship between NLR and mortality, with the lowest risk at the second quartile (Q2). ROC analysis showed that NLR had modest predictive value for mortality risk, with an AUC of 0.642 (95% CI 0.622-0.663) for 28-day mortality.
conclusionNLR is significantly associated with mortality in SIC patients and can predict short-and long-term mortality. This finding suggests that the NLR may be useful in identifying patients with SIC at high risk of mortality. Elevated NLR is significantly associated with increased mortality in SIC patients and can predict short-and long-term mortality. The relationship between NLR and mortality risk is J-shaped, with the lowest risk observed in the second quartile. While NLR demonstrates modest predictive value, its accessibility and ease of use make it a potentially valuable tool for early risk stratification and informing clinical decision-making in SIC patients, especially in emergencies or resource-limited settings.
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