Xu Yunpeng, Zhang Lei, Zhu Lei, Yang Zi, Bai Xue, Wu Fanqi, He Cuifang, Zhang Dan, Ai Qingjuan, Guo Hong, Liu Jian
The First Clinical Medical College of Lanzhou University, Lanzhou, People's Republic of China.
Department of ICU, the First Hospital of Lanzhou University, Lanzhou, People's Republic of China.
Int J Chron Obstruct Pulmon Dis. 2025 Sep 4;20:3123-3134. doi: 10.2147/COPD.S531935. eCollection 2025.
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（COPD）是一种常见的慢性呼吸系统疾病，其特征为气道炎症和不可逆的气流受限。其显著的异质性和复杂性在预后预测和个性化管理方面给传统临床评估带来了重大挑战。近年来，生物标志物的探索为COPD的精准评估开辟了新途径，特别是通过多生物标志物预测模型和综合多模态数据策略，这大大提高了预后评估的准确性和可靠性。本综述总结了与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及未来潜力，并评估了它们在临床实践中的转化价值。作为一篇叙述性综述，本研究旨在为COPD患者的精准管理提供科学依据。
