Neutrophil percentage-to-albumin ratio as a novel predictor of mortality in HBV-Related acute-on-chronic liver failure.

IF 1.9 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Biomarkers in medicine Pub Date : 2025-07-01 Epub Date: 2025-06-29 DOI:10.1080/17520363.2025.2525072
Yulituzi Waili, Yang Xiang, WeiLin Mao
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引用次数: 0

Abstract

Background: HBV-related acute-on-chronic liver failure (HBV-ACLF) has a high short-term mortality rate, making early prognosis vital. This study investigated the predictive value of the neutrophil percentage-to-albumin ratio (NPAR) in HBV-ACLF.

Methods: This retrospective study analyzed consecutive patients hospitalized with HBV-ACLF to identify risk factors for 90-day mortality. Disease severity was assessed using the Model for End-Stage Liver Disease (MELD) score, and multivariate regression analysis was performed to identify independent risk factors for mortality.

Results: A total of 189 patients with HBV-ACLF were included in the analysis. The 90-day mortality rate was 45.5%. Higher NPAR levels were markedly associated with an increased mortality risk and were identified as an independent predictor comparable to the MELD score. The combination of NPAR and MELD score provided better prognostic accuracy than use of either marker alone.

Conclusions: NPAR is a valuable predictor of 90-day mortality in HBV-ACLF patients, and its combination with the MELD score improves prognostic accuracy.

中性粒细胞百分比-白蛋白比率作为hbv相关急性-慢性肝衰竭死亡率的新预测因子
背景:hbv相关的急性慢性肝衰竭(HBV-ACLF)具有很高的短期死亡率,因此早期预后至关重要。本研究探讨了中性粒细胞百分比-白蛋白比(NPAR)在HBV-ACLF中的预测价值。方法:本回顾性研究分析了连续住院的HBV-ACLF患者,以确定90天死亡率的危险因素。使用终末期肝病模型(MELD)评分评估疾病严重程度,并进行多变量回归分析以确定死亡率的独立危险因素。结果:共有189例HBV-ACLF患者被纳入分析。90天死亡率为45.5%。较高的NPAR水平与死亡风险增加显著相关,并被确定为可与MELD评分相媲美的独立预测因子。NPAR和MELD评分联合使用比单独使用任何一种指标提供更好的预后准确性。结论:NPAR是HBV-ACLF患者90天死亡率的一个有价值的预测指标,其与MELD评分的结合可提高预后的准确性。
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来源期刊
Biomarkers in medicine
Biomarkers in medicine 医学-医学:研究与实验
CiteScore
3.80
自引率
4.50%
发文量
86
审稿时长
6-12 weeks
期刊介绍: Biomarkers are physical, functional or biochemical indicators of physiological or disease processes. These key indicators can provide vital information in determining disease prognosis, in predicting of response to therapies, adverse events and drug interactions, and in establishing baseline risk. The explosion of interest in biomarker research is driving the development of new predictive, diagnostic and prognostic products in modern medical practice, and biomarkers are also playing an increasingly important role in the discovery and development of new drugs. For the full utility of biomarkers to be realized, we require greater understanding of disease mechanisms, and the interplay between disease mechanisms, therapeutic interventions and the proposed biomarkers. However, in attempting to evaluate the pros and cons of biomarkers systematically, we are moving into new, challenging territory. Biomarkers in Medicine (ISSN 1752-0363) is a peer-reviewed, rapid publication journal delivering commentary and analysis on the advances in our understanding of biomarkers and their potential and actual applications in medicine. The journal facilitates translation of our research knowledge into the clinic to increase the effectiveness of medical practice. As the scientific rationale and regulatory acceptance for biomarkers in medicine and in drug development become more fully established, Biomarkers in Medicine provides the platform for all players in this increasingly vital area to communicate and debate all issues relating to the potential utility and applications. Each issue includes a diversity of content to provide rounded coverage for the research professional. Articles include Guest Editorials, Interviews, Reviews, Research Articles, Perspectives, Priority Paper Evaluations, Special Reports, Case Reports, Conference Reports and Company Profiles. Review coverage is divided into themed sections according to area of therapeutic utility with some issues including themed sections on an area of topical interest. Biomarkers in Medicine provides a platform for commentary and debate for all professionals with an interest in the identification of biomarkers, elucidation of their role and formalization and approval of their application in modern medicine. The audience for Biomarkers in Medicine includes academic and industrial researchers, clinicians, pathologists, clinical chemists and regulatory professionals.
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