基于血液生物标志物的 HBV 相关肝细胞癌预测模型的开发与验证

IF 2.3 4区 医学 Q2 HEMATOLOGY
Yafeng Tan, Wei Xia, Fenglan Sun, Bing Mei, Yaoling Ouyang, Linyun Li, Zhenxia Chen, Song Wu, Jufang Tan, Zhaxi Pubu, Bu Sang, Tao Jiang
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引用次数: 0

摘要

研究目的本研究旨在利用 Lasso 探索 HBV 相关 HCC 的最佳预测因素,并建立预测模型:对 2016 年 1 月至 2024 年 3 月期间接受 CBC 和 CRP 检测的患者进行回顾性分析。研究人群包括 5441 例患者,分为三个队列:非 HBV 感染者(1333 例)、HBV 感染者(1023 例)和 HBV 相关 HCC(3085 例)。CRP的A值 结果:在研究人群中,急性细菌感染者与非感染者之间,以及三个组别之间,在年龄、性别和血液参数指标方面存在显著差异。HBV 相关 HCC 的最佳预测指标包括性别、年龄、MONO、EO%、MCHC、MPV 和 PCT:该研究强调了急性细菌感染对免疫状态、红细胞系统和血小板系统的重大影响。在排除急性细菌感染后,性别、年龄、MONO、EO%、MCHC、MPV 和 PCT 等因素是临床预测 HBV 感染者发生 HCC 的有效指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and Validation of a Blood-Biomarker-Based Predictive Model for HBV-Associated Hepatocellular Carcinoma.

Objective: This study aims to explore the optimal predictors of HBV-associated HCC using Lasso, and establish a prediction model.

Methods: A retrospective analysis was conducted on patients who underwent CBC and CRP testing between January 2016 and March 2024. The study population comprised 5441 cases divided into three cohorts: non-HBV-infected (1333 cases), HBV-infected (1023 cases), and HBV-associated HCC (3085 cases). A value of CRP <10 mg/L was used to exclude cases of acute bacterial infections. Baseline data and blood parameters were compared across the three groups (control group (n = 1049), the HBV-infected group (n = 789), and the HBV-associated HCC group (n = 1367)). HBV-infected group and the HBV-associated HCC group were used as modeling subjects which 70% were classified as training set (n = 1512) and 30% were classified as validation set (n = 644). Lasso regression and logistic regression were employed to identify the most effective predictors of HBV-associated HCC, which were subsequently incorporated into a predictive model by training set.

Results: Significant variations in age, gender, and blood parameter indices were observed between individuals with acute bacterial infections and non-infections in the study population, and also between three groups. The optimal predictors identified for HBV-associated HCC included gender, age, MONO, EO%, MCHC, MPV, and PCT.

Conclusions: The study highlights the significant impact of acute bacterial infections on immune status, erythrocyte system, and platelet system. After excluding acute bacterial infections, factors such as gender, age, MONO, EO%, MCHC, MPV, and PCT are effective predictors for clinical prediction of HCC development in HBV-infected patients.

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来源期刊
CiteScore
4.40
自引率
3.40%
发文量
150
审稿时长
2 months
期刊介绍: CATH is a peer-reviewed bi-monthly journal that addresses the practical clinical and laboratory issues involved in managing bleeding and clotting disorders, especially those related to thrombosis, hemostasis, and vascular disorders. CATH covers clinical trials, studies on etiology, pathophysiology, diagnosis and treatment of thrombohemorrhagic disorders.
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