Prognostic value of neutrophil-to-lymphocyte ratio in septic patients with liver cirrhosis: a cohort study

中性粒细胞与淋巴细胞比值在肝硬化合并脓毒症患者中的预后价值:一项队列研究

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Abstract

BACKGROUND: Inflammation plays a critical role in the pathogenesis of both sepsis and cirrhosis. The neutrophil-to-lymphocyte ratio (NLR), a composite inflammatory marker, has garnered increasing attention. However, the association between NLR and the risk of mortality in patients with cirrhosis and sepsis remains unclarified. METHODS: Clinical information on patients with cirrhosis and sepsis was sourced from the MIMIC-IV (Medical Information Mart for Intensive Care IV) database. Clinical endpoints were all-cause mortality. The link between NLR and mortality was examined through restricted cubic splines (RCS), logistic regression, and Cox regression analyses. The predictive value of NLR for in-hospital all-cause mortality in individuals with liver cirrhosis and sepsis was investigated using Receiver Operating Characteristic (ROC) analysis. Subgroup analysis was implemented to check the consistency of the association. RESULTS: A total of 1,372 patients were enrolled and stratified into a survival group (n = 1,271) and a non-survival group (n = 101) based on in-hospital survival status, yielding a mortality rate of 7.4%. In the unadjusted model, a notable link was revealed between NLR and all causes of death in septic patients with cirrhosis (Odds ratio [ORs]: 1.03, 95% Confidence intervals [CI]: 1.02-1.04, P < 0.001). RCS analysis revealed a nonlinear association between NLR and mortality risk (P for nonlinearity < 0.001; P for overall association < 0.001). ROC curves uncovered a higher Area Under the Curve (AUC) for NLR (0.752) than that for sequential organ failure assessment (SOFA) scores (0.711). Subgroup analysis indicated no pronounced interaction between NLR and etiology (interaction P > 0.05). CONCLUSION: NLR is an independent risk factor for in-hospital all-cause death in septic patients with cirrhosis, and it can guide interventions for this high-risk population.

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