PT -期刊文章盟诺尔Guillaume盟——有限公司sío, Borja G. AU - Faner, Rosa AU - Monsó, Eduard AU - Peces-Barba, German AU - de Diego, Alfredo AU - Esteban, Cristobal AU - Gea, Joaquim AU - Rodriguez-Roisin, Robert AU - Garcia-Nuñez, Marian AU - Pozo-Rodriguez, Francisco AU - Kalko, Susana G. AU - Agustí, Alvar TI - Multi-level differential network analysis of COPD exacerbations AID - 10.1183/13993003.00075-2017 DP - 2017 Sep 01 TA - European Respiratory Journal PG - 1700075 VI - 50 IP - 3 4099 - //www.qdcxjkg.com/content/50/3/1700075.short 4100 - //www.qdcxjkg.com/content/50/3/1700075.full SO - Eur Respir J2017 Sep 01; 50 AB - Patients with chronic obstructive pulmonary disease (COPD) often suffer episodes of exacerbation (ECOPD) that impact negatively the course of their disease. ECOPD are heterogeneous events of unclear pathobiology and non-specific diagnosis. Network analysis is a novel research approach that can help unravelling complex biological systems. We hypothesised that the comparison of multi-level (i.e., clinical, physiological, biological, imaging and microbiological) correlation networks determined during ECOPD and convalescence can yield novel patho-biologic information.In this proof-of-concept study we included 86 patients hospitalised because of ECOPD in a multicentre study in Spain. Patients were extensively characterised both during the first 72 h of hospitalisation and during clinical stability, at least 3 months after hospital discharge.We found that 1) episodes of ECOPD are characterised by disruption of the network correlation observed during convalescence; and 2) a panel of biomarkers that include increased levels of dyspnoea, circulating neutrophils and C-reactive protein (CRP) has a high predictive value for ECOPD diagnosis (AUC 0.97).We conclude that ECOPD 1) are characterised by disruption of network homeokinesis that exists during convalescence; and 2) can be identified objectively by using a panel of three biomarkers (dyspnoea, circulating neutrophils and CRP levels) frequently determined in clinical practice.This is the first study to investigate COPD exacerbations using multi-level differential network analysis http://ow.ly/uYlW30eMpwR