呼吸系统疾病和慢性多病之间的复杂相互关系:纵向网络分析及其对未来病毒性呼吸道大流行防范的影响。

Frontiers in epidemiology Pub Date : 2025-07-11 eCollection Date: 2025-01-01 DOI:10.3389/fepid.2025.1577333
Daniel E Zoughbie, Kyongsik Yun
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引用次数: 0

摘要

哮喘、慢性阻塞性肺疾病(COPD)、肺炎和急性呼吸衰竭等呼吸系统疾病显著增加了全球卫生负担,特别是在与慢性全身性疾病同时发生时。了解这些相互关系对于设计有弹性的综合卫生保健系统至关重要,特别是在大流行压力的背景下。方法:我们分析了2020年至2024年期间来自综合医疗保健信息系统(CHIS)的8200多万份去识别医疗保健索赔。通过识别跨个体患者时间线重叠的ICD-10代码,构建疾病共发生矩阵。两两关联采用Spearman秩序相关进行量化。由此产生的关联被可视化为一个无导向的疾病网络。结果:COPD (J44.9)和哮喘(J45.909)成为多病网络的中心节点,与代谢(e11.9 - 2型糖尿病,e78.5 -高脂血症)、心血管(i10 -高血压)和精神健康障碍(f32.9 -抑郁,f41.9 -焦虑)有很强的相关性。2022年慢性病管理服务大幅减少,与2019冠状病毒病大流行的高峰影响相对应,随后在2023年出现部分反弹。讨论:研究结果揭示了呼吸系统疾病在更广泛的多发病模式中的综合作用,加强了跨学科管理方法的必要性。观察到的与大流行相关的慢性保健服务中断突出了系统性脆弱性。未来的防范战略应整合多病框架,并确保对呼吸和全身疾病的连续性护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Complex interrelationships among respiratory diseases and chronic multimorbidity: a longitudinal network analysis and implications for future viral respiratory pandemic preparedness.

Complex interrelationships among respiratory diseases and chronic multimorbidity: a longitudinal network analysis and implications for future viral respiratory pandemic preparedness.

Complex interrelationships among respiratory diseases and chronic multimorbidity: a longitudinal network analysis and implications for future viral respiratory pandemic preparedness.

Introduction: Respiratory diseases such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, and acute respiratory failure contribute significantly to the global health burden, particularly when co-occurring with chronic systemic conditions. Understanding these interrelationships is essential for designing resilient and integrated healthcare systems, especially in the context of pandemic stress.

Methods: We analyzed over 82 million de-identified healthcare claims from the Comprehensive Health Care Information System (CHIS), spanning 2020 to 2024. A disease co-occurrence matrix was constructed by identifying overlapping ICD-10 codes across individual patient timelines. Pairwise associations were quantified using Spearman's rank-order correlation. The resulting associations were visualized as an undirected disease network.

Results: COPD (J44.9) and asthma (J45.909) emerged as central nodes in the multimorbidity network, showing strong associations with metabolic (E11.9-Type 2 diabetes, E78.5-hyperlipidemia), cardiovascular (I10-hypertension), and mental health disorders (F32.9-depression, F41.9-anxiety). A significant reduction in chronic disease management services was observed in 2022, corresponding with the peak impact of the COVID-19 pandemic, followed by a partial rebound in 2023.

Discussion: The findings reveal the integrative role of respiratory diseases within broader patterns of multimorbidity, reinforcing the need for cross-disciplinary management approaches. The observed pandemic-related disruption in chronic care delivery highlights systemic vulnerabilities. Future preparedness strategies should integrate multimorbidity frameworks and ensure continuity of care for both respiratory and systemic conditions.

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