Prognostic Value of Biomarkers in Chronic Obstructive Pulmonary Disease: A Comprehensive Review.

IF 3.1 3区 医学 Q2 RESPIRATORY SYSTEM
Yunpeng Xu, Lei Zhang, Lei Zhu, Zi Yang, Xue Bai, Fanqi Wu, Cuifang He, Dan Zhang, Qingjuan Ai, Hong Guo, Jian Liu
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引用次数: 0

Abstract

Chronic Obstructive Pulmonary Disease (COPD) is a prevalent chronic respiratory disorder characterized by airway inflammation and irreversible airflow limitation. Its marked heterogeneity and complexity pose significant challenges to traditional clinical assessments in terms of prognostic prediction and personalized management. In recent years, the exploration of biomarkers has opened new avenues for the precise evaluation of COPD, particularly through multi-biomarker prediction models and integrative multimodal data strategies, which have substantially improved the accuracy and reliability of prognostic assessments. This review summarizes the key biomarkers associated with COPD prognosis, systematically discusses the practical applications and future potential of combined predictive models and multimodal data integration, and evaluates their translational value in clinical practice. As a narrative review, this study aims to provide a scientific foundation for the precision management of patients with COPD.

慢性阻塞性肺疾病生物标志物的预后价值综述
慢性阻塞性肺疾病(COPD)是一种以气道炎症和不可逆气流限制为特征的常见慢性呼吸系统疾病。其显著的异质性和复杂性对预后预测和个性化管理方面的传统临床评估提出了重大挑战。近年来,生物标志物的探索为COPD的精确评估开辟了新的途径,特别是通过多生物标志物预测模型和综合多模式数据策略,大大提高了预后评估的准确性和可靠性。本文综述了与COPD预后相关的关键生物标志物,系统地讨论了联合预测模型和多模态数据整合的实际应用和未来潜力,并评估了它们在临床实践中的转化价值。本研究作为一篇叙述性综述,旨在为COPD患者的精准管理提供科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.80
自引率
10.70%
发文量
372
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed journal of therapeutics and pharmacology focusing on concise rapid reporting of clinical studies and reviews in COPD. Special focus will be given to the pathophysiological processes underlying the disease, intervention programs, patient focused education, and self management protocols. This journal is directed at specialists and healthcare professionals
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