Adel H Mansur1, Sapna Srivastava2, Adeel Sahal3. 1. Birmingham Regional Severe Asthma Service, Birmingham Heartlands Hospital, Birmingham B9 5SS, United Kingdom. Electronic address: adel.mansur@heartofengland.nhs.uk. 2. Birmingham Regional Severe Asthma Service, Birmingham Heartlands Hospital, Birmingham B9 5SS, United Kingdom. 3. Sandwell and City Hospital, Birmingham, United Kingdom.
Abstract
BACKGROUND: biomarkers of Type 2 (T2) inflammation may predict asthma control and exacerbation risk. However, the relationships between individual T2 biomarkers to exacerbations and lung function in severe asthma remain uncertain. OBJECTIVES: to explore the roles played by T2 biomarkers individually and as a composite score in predicting clinical outcomes in severe asthma. METHODS: unselected severe asthma patients were enrolled in this cross sectional real life study. Participants were clinically characterised and the following measurements were obtained: the frequency of exacerbations requiring oral corticosteroids (OCS), asthma control (Juniper ACQ6-7), lung function, Fraction exhaled Nitric Oxide (FeNO), peripheral blood eosinophils (PBE), and serum periostin. RESULTS: A total of 115 patients were recruited [mean age 45 years (range 18-70), 80 (69.6%) females, mean forced expiratory volume in first second (FEV1) %predicted was 68% ± 24.7, mean inhaled corticosteroids (ICS) 1.96 ± 0.82 mg/day. FeNO correlated significantly with PBE (r = 0.35, p = 0.0004), but not with periostin (r = 0.22, p = 0.065) and there was no significant correlation between PBE and periostin. FeNO correlation with exacerbations (r = 0.42, p = 0.0008) was stronger than PBE and periostin. A composite score of the 3 biomarkers correlated with exacerbations in a dose-dependent manner but multiple regression analysis did not confirm an added benefit. Only periostin demonstrated a significant correlation with FEV1%predicted (r = -0.34, p = 0.004) with ROC-AUC 0.7. CONCLUSION: FeNO demonstrated stronger correlation with asthma exacerbations than PBE or periostin with no definite added benefit from a composite score of the 3 biomarkers. Only periostin showed significant association with reduced lung function raising its potential as a biomarker of airway remodeling.
BACKGROUND: biomarkers of Type 2 (T2) inflammation may predict asthma control and exacerbation risk. However, the relationships between individual T2 biomarkers to exacerbations and lung function in severe asthma remain uncertain. OBJECTIVES: to explore the roles played by T2 biomarkers individually and as a composite score in predicting clinical outcomes in severe asthma. METHODS: unselected severe asthmapatients were enrolled in this cross sectional real life study. Participants were clinically characterised and the following measurements were obtained: the frequency of exacerbations requiring oral corticosteroids (OCS), asthma control (Juniper ACQ6-7), lung function, Fraction exhaled Nitric Oxide (FeNO), peripheral blood eosinophils (PBE), and serum periostin. RESULTS: A total of 115 patients were recruited [mean age 45 years (range 18-70), 80 (69.6%) females, mean forced expiratory volume in first second (FEV1) %predicted was 68% ± 24.7, mean inhaled corticosteroids (ICS) 1.96 ± 0.82 mg/day. FeNO correlated significantly with PBE (r = 0.35, p = 0.0004), but not with periostin (r = 0.22, p = 0.065) and there was no significant correlation between PBE and periostin. FeNO correlation with exacerbations (r = 0.42, p = 0.0008) was stronger than PBE and periostin. A composite score of the 3 biomarkers correlated with exacerbations in a dose-dependent manner but multiple regression analysis did not confirm an added benefit. Only periostin demonstrated a significant correlation with FEV1%predicted (r = -0.34, p = 0.004) with ROC-AUC 0.7. CONCLUSION:FeNO demonstrated stronger correlation with asthma exacerbations than PBE or periostin with no definite added benefit from a composite score of the 3 biomarkers. Only periostin showed significant association with reduced lung function raising its potential as a biomarker of airway remodeling.
Authors: Ida Mogensen; Tiago Jacinto; Kjell Alving; João A Fonseca; Christer Janson; Andrei Malinovschi Journal: PLoS One Date: 2020-12-03 Impact factor: 3.240
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