RÉSUMÉ
Objective To compare the clinical characteristics,peripheral blood inflammatory cells and levels of oxidative stress indicators between severe asthma and non-severe asthma patients,analyze the effects of neutrophils and oxidative stress molecules on the severity of asthma,and build a biological model for early prediction of severe asthma.Methods From Aug 2018 to Jul 2019,67 adult patients with stable asthma in our hospital were enrolled in this study.The clinical characteristics,peripheral blood inflammatory cells and levels of oxidative stress indicators of severe asthma group and non-severe asthma group were compared.Single factor Logistic regression analysis was conducted on severe asthma to screen out the most important five variables.Multifactor Logistic regression analysis was further conducted to establish a prediction model for severe asthma.Results There were 25 severe asthma patients in this cohort,who had a longer course of disease,more frequent acute attacks,poorer asthma control,higher peripheral neutrophils,more severe obstructive ventilation dysfunction,lower myeloperoxidase(MPO)level and higher superoxide dismutase(SOD)than non-severe asthma patients.The patients with higher peripheral blood neutrophil count or proportion were more likely to show severe asthma,more frequent acute attacks,and more obvious reduction of pulmonary ventilation function.A panel of biomarkers,centered on peripheral blood neutrophil count and oxidative stress indicators SOD,human 8-epi-prostaglandin F2α(8-iso-PGF2α),could build a model to predict severe asthma.Conclusion There are significant differences in clinical characteristics,peripheral blood inflammatory cells,and oxidative stress index levels between severe asthma patients and non-severe asthma patients.In stable asthma patients,levels of neutrophils and oxidative stress indicators such as SOD had an impact on the severity of asthma.The prediction model of severe asthma established on this basis provides a new idea for early recognition of severe asthma.