中性粒细胞与淋巴细胞比值和MELD评分对HBV-DeCi患者短期生存的预测价值。

IF 1.9 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Biomarkers in medicine Pub Date : 2025-01-01 Epub Date: 2025-01-09 DOI:10.1080/17520363.2024.2448112
Zhong Han, Liangshuai Qi, Sirui Chen, Jinfei Zhang, Xueliang Guo, Chunying Liang, Weiwei Zheng
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引用次数: 0

摘要

目的:评价中性粒细胞与淋巴细胞比值(NLR)联合终末期肝病模型(MELD)评分对乙型肝炎病毒相关失代偿性肝硬化(HBV-DeCi)的预后价值。方法:对166例hBV-DeCi患者进行30天死亡率测定。采用受试者工作特征曲线分析和多元回归分析评估NLR预测不良预后的效果。结果:30 d死亡率为10.2%(17/166)。NLR在幸存者中明显低于非幸存者,可用于HBV-DeCi患者的预后预测。NLR联合MELD评分的曲线下面积大于单独使用各因素的曲线下面积。(MELD评分,AUC:0.864, NLR, AUC:0.781, Combined, AUC:0.920) MELD评分的优势比低于NLR。(MELD评分:1.447 &nlr: 1.745)。结论:研究结果表明NLR联合MELD评分对HBV-DeCi患者具有较高的预后价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive value of neutrophil-to-lymphocyte ratio and MELD score for short-term survival of patients with HBV-DeCi.

Objective: The prognostic value of neutrophil-to-lymphocyte ratio (NLR) combined with Model for End-Stage Liver Disease (MELD) score was evaluated for hepatitis B virus-associated decompensated cirrhosis (HBV-DeCi).

Methods: The 30-day mortality of 166 hBV-DeCi patients was examined. Receiver operating characteristic curve analysis and multivariate regression analysis were used to assess the performance of NLR for prediction of poor outcomes.

Results: The 30-day mortality rate was 10.2% (17/166). NLR was significantly lower in survivors than in non-survivors, and could be used for prognosis prediction in HBV-DeCi patients. Area under the curve was higher for NLR combined with MELD score than for each factor alone. (MELD score, AUC:0.864、NLR, AUC:0.781, Combined, AUC:0.920) The Odds ratio of MELD score is lower than NLR.(MELD score:1.447&NLR:1.745).

Conclusions: The findings demonstrate that NLR combined with MELD score has a high prognostic value for HBV-DeCi patients.

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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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