一种基于血液检测的诊断和预测HBV相关疾病的弹性方法

Gege Hou, Yunru Chen, Xiaojing Liu, Dong Zhang, Zhimin Geng, Shubin Si

工程(英文) ›› 2024, Vol. 32 ›› Issue (1) : 174-185.

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工程(英文) ›› 2024, Vol. 32 ›› Issue (1) : 174-185. DOI: 10.1016/j.eng.2023.06.013
研究论文
Article

一种基于血液检测的诊断和预测HBV相关疾病的弹性方法

作者信息 +

A Resilience Approach for Diagnosing and Predicting HBV-Related Diseases Based on Blood Tests

Author information +
History +

摘要

乙肝病毒(HBV)感染威胁着全球公共卫生安全,是导致肝脏相关疾病发病率和死亡率的主要原因。HBV持续感染引起的肝脏疾病检查方法包括实验室检测、超声、CT、核磁共振和肝活检等,重复的检查和多次诊断可能导致患者每次就医都面临高额费用。因此,迫切需要建立一种经济有效的诊断方法简化乙肝相关疾病的医疗流程。基于临床血液检测,我们构建复杂网络模型并定义功能恢复力评价指标,可以帮助医生评估患者的肝脏状况。其次,通过结合网络模型和动力学,发现导致患者向肝硬化或肝癌转化的关键血液指标及其相应的阈值,为进一步研究疾病临界状态和预防疾病恶化提供思路。结果表明功能恢复力的诊断宏观平均精度为84.74%,而在没有影像或活检辅助的情况下医生凭经验诊断的宏观平均精度为55.64%。从经济角度,与一般诊断方法相比,功能恢复力可以为大多数中国患者每次就诊节省至少30美元,为大多数美国患者节省至少400美元。在全球范围内,每年将节省至少105亿美元。因此,功能恢复力可以全面评估患者的肝脏状况,减少影像学检查的次数,避免肝病诊断过程中医疗资源的浪费。

Abstract

Chronic hepatitis B virus (HBV) infection, which threatens global public health, is a major contributor to liver-related morbidity and mortality. Examinations for liver diseases related to chronic HBV infection—including laboratory tests, ultrasounds, computed tomography (CT), and liver biopsies—may take up medical resources, particularly since they overlap in most instances. Thus, there is an urgent need to establish an economical and effective diagnosis method in order to streamline the medical process for HBV-related diseases. Using complex network models constructed based on clinical blood tests, we provide such a method by defining the novel measure of functional resilience to assess patients’ liver conditions. By combining network models and dynamics, we discovered the pivotal items and their corresponding thresholds, which can guide further research on preventing disease deterioration in critical states of these diseases. The macro-averaged precision of our method, functional resilience, is 84.74%, whereas the macro-averaged precision of physicians’ experience without assistance from imaging or biopsy is 55.63%. From an economic perspective, our approach could save the equivalent of at least 30 USD per visit for most Chinese patients and at least 400 USD per visit for most US patients, compared with general diagnostic methods. Globally, this will add to savings of at least 10.5 billion USD annually. Our method can comprehensively evaluate the condition of patients’ livers and help avert the waste of medical resources during the diagnosis of liver disease by reducing excessive imaging exams.

关键词

HBV相关疾病 / 功能弹性 / 医疗资源利用率 / 关键状态 / 网络

Keywords

HBV-related diseases / Functional resilience / Improve medical resource utilization / Critical states / Network

引用本文

导出引用
Gege Hou, Yunru Chen, Xiaojing Liu. 一种基于血液检测的诊断和预测HBV相关疾病的弹性方法. Engineering. 2024, 32(1): 174-185 https://doi.org/10.1016/j.eng.2023.06.013

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