Abstract

Background and Aims Alcohol-associated liver disease is exhibiting an increasing disease burden. In terms of pathogenesis, inflammation is closely related to alcohol-induced liver injury. The neutrophil-to-lymphocyte ratio (NLR) is a novel inflammatory biomarker. Here, we aim to evaluate the role of the NLR and other biomarkers in predicting short-term mortality in alcoholic cirrhotic patients. Methods This was a retrospective study that included 459 male alcoholic cirrhosis patients. Among them, 345 patients completed follow-up. Based on their 30-day mortality information, patients were separated into surviving and nonsurviving groups. Demographic, clinical, and biochemical features were collected for further analysis. Logistic regression was used to identify factors associated with short-term mortality, and receiver operating characteristic (ROC) curve analysis was used to establish the predictive value of these factors. Results The prognostic scores were significantly higher in the nonsurviving group than in the surviving group: NLR: 5.5 vs. 3.2 (P < 0.001), model for end-stage liver disease (MELD): 15.4 vs. 7.9 (P < 0.001), Maddrey's discriminant function (MDF): 39.8 vs. 12.7 (P < 0.001), and the integrated MELD (i-MELD): 37.9 vs. 28.4 (P < 0.001). Logistic regression demonstrated that albumin (ALB), NLR, and i-MELD values were significantly correlated with patient death in 30 days. On ROC analysis, the diagnostic accuracy for 30-day mortality of the NLR (area under the ROC curve (AUROC) of 0.72, P < 0.001) was similar to that of the MELD or i-MELD (AUROCs of 0.71 and 0.74, respectively, P < 0.001). The new biomarker, NLA, calculated as 100 × NLR/ALB, had the best prognostic value. The cutoff values of the NLR and NLA for predicting 30-day mortality were 4.2 and 19.6, respectively. Conclusions The NLR and its related biomarker NLA are simple and robust predictors of 30-day mortality in alcoholic cirrhosis patients.

Highlights

  • Alcoholic liver disease (ALD) includes a complex spectrum of conditions ranging from steatosis to cirrhosis and imposes a substantial burden on public health [1]

  • The 30-day mortality data of patients were collected by medical records and telephone follow-up; because this was a retrospective study, it was difficult to contact some patients after they were discharged from our center

  • We evaluated the predictive abilities of the model for end-stage liver disease (MELD), integrated MELD (i-MELD), and Maddrey’s discriminant function (MDF) scores for comparison

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Summary

Introduction

Alcoholic liver disease (ALD) includes a complex spectrum of conditions ranging from steatosis to cirrhosis and imposes a substantial burden on public health [1]. Child-Pugh and model for end-stage liver disease (MELD) scores have been widely explored as prognostic models for outcomes of chronic liver cirrhosis [7, 8]. We aim to evaluate the role of the NLR and other biomarkers in predicting short-term mortality in alcoholic cirrhotic patients. The prognostic scores were significantly higher in the nonsurviving group than in the surviving group: NLR: 5.5 vs 3.2 (P < 0:001), model for end-stage liver disease (MELD): 15.4 vs 7.9 (P < 0:001), Maddrey’s discriminant function (MDF): 39.8 vs 12.7 (P < 0:001), and the integrated MELD (i-MELD): 37.9 vs 28.4 (P < 0:001). The NLR and its related biomarker NLA are simple and robust predictors of 30-day mortality in alcoholic cirrhosis patients

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