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基于炎症风险评分构建用于预测乙型肝炎病毒相关中晚期肝细胞癌预后的列线图

Development of a Nomogram Using the Inflammatory Risk Score for Prognostication in Moderate and Advanced Hepatocellular Carcinoma Associated with Hepatitis B Virus.

机构信息

Hunan Provincial Hospital of Integrated Traditional Chinese and Western, Cancer Research Institute of Hunan Academy of Traditional Chinese Medicine, Hunan Academy of Chinese Medicine, Hunan, China.

Hunan University of Chinese Medicine, Hunan, China.

出版信息

Balkan Med J. 2024 Mar 1;41(2):130-138. doi: 10.4274/balkanmedj.galenos.2024.2023-12-8.

DOI:10.4274/balkanmedj.galenos.2024.2023-12-8
PMID:38425017
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10913116/
Abstract

BACKGROUND

The changes in risk scores of inflammatory markers among patients diagnosed with hepatocellular carcinoma (HCC) remain unknown.

AIMS

To investigate the relationship between the inflammation risk score and other contributing factors and the prognostic outcomes in patients with moderate and advanced hepatitis B virus (HBV)-related HCC.

STUDY DESIGN

A retrospective cohort study.

METHODS

A total of 174 patients with moderate and advanced HBV related HCC were recruited to investigate the impact of stratified inflammatory risk scores and other associated risk factors on disease prognosis. Based on the optimal cut-off values calculated by the Youden index, the patients were divided into high-risk and low-risk groups based on their inflammation risk scores.

RESULTS

The study found a significant difference in median survival time between the low-risk and high-risk groups based on the inflammation risk score. Furthermore, the inflammation risk score, alpha-fetoprotein levels, transarterial chemoembolization treatment, and Barcelona Clinic Liver Cancer stage were identified as independent prognostic factors. The four variables were used to construct a prognostic nomogram for HCC. Subsequent evaluations using time-dependent receiver operating characteristic analysis and calibration curve tests revealed the nomogram's commendable discriminatory ability. As a result, the nomogram proved to be an effective tool for predicting survival at 2- to 4-years.

CONCLUSION

The inflammation risk score has been identified as a significant prognostic factor for HBV-related HCC. The development of nomogram models has provided a practical and effective tool for determining the prognosis of patients affected by HBV-related HCC.

摘要

背景

患有肝细胞癌(HCC)的患者的炎症标志物风险评分的变化尚不清楚。

目的

研究炎症风险评分与其他相关因素之间的关系,并探讨其与中晚期乙型肝炎病毒(HBV)相关 HCC 患者预后结局的关系。

研究设计

回顾性队列研究。

方法

共纳入 174 例中晚期 HBV 相关 HCC 患者,旨在探讨分层炎症风险评分和其他相关危险因素对疾病预后的影响。基于 Youden 指数计算的最佳截断值,根据炎症风险评分将患者分为高危组和低危组。

结果

研究发现,基于炎症风险评分,低危组和高危组的中位生存时间存在显著差异。此外,炎症风险评分、甲胎蛋白水平、经动脉化疗栓塞治疗和巴塞罗那临床肝癌分期被确定为独立的预后因素。这四个变量被用于构建 HCC 的预后列线图。随后进行的时间依赖性接受者操作特征分析和校准曲线测试评估显示,该列线图具有良好的判别能力。因此,该列线图被证明是预测 2 至 4 年生存率的有效工具。

结论

炎症风险评分已被确定为 HBV 相关 HCC 的重要预后因素。列线图模型的开发为确定 HBV 相关 HCC 患者的预后提供了实用有效的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/b1f0980abec4/BMJ-41-130-g7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/a78989cab48a/BMJ-41-130-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/b5d5f65001d1/BMJ-41-130-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/83a9a9564bc1/BMJ-41-130-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/7620b274c5c2/BMJ-41-130-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/e9b8cb5a62bd/BMJ-41-130-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/54133f68f9f4/BMJ-41-130-g6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/b1f0980abec4/BMJ-41-130-g7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/a78989cab48a/BMJ-41-130-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/b5d5f65001d1/BMJ-41-130-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/83a9a9564bc1/BMJ-41-130-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/7620b274c5c2/BMJ-41-130-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/e9b8cb5a62bd/BMJ-41-130-g5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/54133f68f9f4/BMJ-41-130-g6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e0d/10913116/b1f0980abec4/BMJ-41-130-g7.jpg

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