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    Symptom Network and Subgroup Analysis in Patients with Exacerbation of Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study by Yu C, Xu M, Pang X, Zhang Y, Cao X, Xu Y, Huang S, Zhao H, Chen C

    Published 2025-01-01
    “…Chunchun Yu,1 Mengying Xu,1 Xinyue Pang,2 Yuting Zhang,3 Xinmei Cao,2 Yixin Xu,1 Shuai Huang,1 Hongjun Zhao,4 Chengshui Chen1,3,4 1Key Laboratory of Interventional Pulmonology of Zhejiang Province, Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People’s Republic of China; 2Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, People’s Republic of China; 3Cixi Biomedical Research Institute, Wenzhou Medical University, Wenzhou, Zhejiang, 315302, People’s Republic of China; 4Zhejiang Province Engineering Research Center for Endoscope Instruments and Technology Development, Department of Pulmonary and Critical Care Medicine, Quzhou People’s Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, 324000, People’s Republic of ChinaCorrespondence: Hongjun Zhao; Chengshui Chen, Zhejiang Province Engineering Research Center for Endoscope Instruments and Technology Development, Department of Pulmonary and Critical Care Medicine, Quzhou People’s Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, 324000, People’s Republic of China, Email zhaohongjun@wmu.edu.cn; chenchengshui@wmu.edu.cnPurpose: This study aims to construct a contemporaneous symptom network of inpatients with Exacerbation of Chronic Obstructive Pulmonary Disease (ECOPD) based on the symptom cluster, identify core and bridge symptoms, and patient subgroups with different symptom clusters based on individual differences in the intensity of patient symptom experiences.Patients and Methods: This study used convenience sampling to collect demographic, symptom, auxiliary examination, and prognosis information of 208 inpatients with ECOPD from April 2022 to October 2023. …”
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  17. 477

    Utilizing Targeted Next-Generation Sequencing for Rapid, Accurate, and Cost-Effective Pathogen Detection in Lower Respiratory Tract Infections by Qin L, Liang M, Song J, Chen P, Zhang S, Zhou Y, Li H, Tang J, Ma Y, Yang B, Xu J, Zhang J

    Published 2025-01-01
    “…Lisha Qin,1,* Mengyuan Liang,1,2,* Jianping Song,1,* Ping Chen,1,* Shujing Zhang,3,* Yaya Zhou,1 Hui Li,1 Jian Tang,1 Yanling Ma,1 Bohan Yang,1 Juanjuan Xu,1 Jianchu Zhang1 1Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China; 2Department of Respiratory and Critical Care Medicine, Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, People’s Republic of China; 3Department of Pediatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jianchu Zhang, Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People’s Republic of China, Tel +86-13971445469, Email zsn0928@163.comObjective: To evaluate the diagnostic performance and clinical impact of targeted next-generation sequencing (tNGS) in patients with suspected lower respiratory tract infections.Methods: Following propensity score matching, we compared the diagnostic performances of tNGS and metagenomic next-generation sequencing (mNGS). …”
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