Circulating Pulmonary-Originated Epithelial Biomarkers for Acute Respiratory Distress Syndrome: A Systematic Review and Meta-Analysis
-
Published:2023-03-23
Issue:7
Volume:24
Page:6090
-
ISSN:1422-0067
-
Container-title:International Journal of Molecular Sciences
-
language:en
-
Short-container-title:IJMS
Author:
Lin Huishu123, Liu Qisijing4, Zhao Lei123, Liu Ziquan123, Cui Huanhuan2, Li Penghui5, Fan Haojun123, Guo Liqiong123ORCID
Affiliation:
1. Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin 300072, China 2. Wenzhou Safety (Emergency) Institute, Tianjin University, Wenzhou 325000, China 3. Tianjin Key Laboratory of Disaster Medicine Technology, Tianjin 300072, China 4. Research Institute of Public Health, School of Medicine, Nankai University, Tianjin 300381, China 5. School of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin 300384, China
Abstract
Previous studies have found several biomarkers for acute respiratory distress syndrome (ARDS), but the accuracy of most biomarkers is still in doubt due to the occurrence of other comorbidities. In this systematic review and meta-analysis, we aimed to explore ideal ARDS biomarkers which can reflect pathophysiology features precisely and better identify at-risk patients and predict mortality. Web of Science, PubMed, Embase, OVID, and the Cochrane Library were systematically searched for studies assessing the reliability of pulmonary-originated epithelial proteins in ARDS. A total of 32 studies appeared eligible for meta-analysis, including 2654 ARDS/ALI patients in this study. In the at-risk patients’ identification group, the highest pooled effect size was observed in Krebs von den Lungren-6 (KL-6) (SMD: 1.17 [95% CI: 0.55, 1.79]), followed by club cell proteins 16 (CC16) (SMD: 0.74 [95% CI: 0.01, 1.46]), and surfactant proteins-D (SP-D) (SMD: 0.71 [95% CI: 0.57, 0.84]). For the mortality prediction group, CC16 exhibited the largest effect size with SMD of 0.92 (95% CI: 0.42, 1.43). Meanwhile, the summary receiver operating characteristic (SROC) of CC16 for ARDS diagnosis reached an AUC of 0.80 (95% CI: 0.76, 0.83). In conclusion, this study provides a ranking system for pulmonary-originated epithelial biomarkers according to their association with distinguishing at-risk patients and predicting mortality. In addition, the study provides evidence for the advantage of biomarkers over traditional diagnostic criteria. The performance of biomarkers may help to clinically improve the ARDS diagnosis and mortality prediction.
Funder
Scientific Research Translational Foundation of Wenzhou Safety (Emergency) Institute of Tianjin University Fundamental Research Funds for the Central Universities, Nankai University Tianjin Research Innovation Project for Postgraduate Students
Subject
Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis
Reference63 articles.
1. Epidemiology, Patterns of Care, and Mortality for Patients with Acute Respiratory Distress Syndrome in Intensive Care Units in 50 Countries;Bellani;JAMA,2016 2. Rizzo, A.N., Aggarwal, N.R., Thompson, B.T., and Schmidt, E.P. (2023). Advancing Precision Medicine for the Diagnosis and Treatment of Acute Respiratory Distress Syndrome. J. Clin. Med., 12. 3. Pelosi, P., Tonelli, R., Torregiani, C., Baratella, E., Confalonieri, M., Battaglini, D., Marchioni, A., Confalonieri, P., Clini, E., and Salton, F. (2022). Different Methods to Improve the Monitoring of Noninvasive Respiratory Support of Patients with Severe Pneumonia/ARDS Due to COVID-19: An Update. J. Clin. Med., 11. 4. Umbrello, M., Formenti, P., Bolgiaghi, L., and Chiumello, D. (2016). Current Concepts of ARDS: A Narrative Review. Int. J. Mol. Sci., 18. 5. The American-European Consensus Conference on ARDS. Definitions, mechanisms, relevant outcomes, and clinical trial coordination;Bernard;Am. J. Respir. Crit. Care Med.,1994
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|