Predictors of Low and High Exhaled Nitric Oxide Values in Asthma: A Real-World Study

Author:

Bertolini FrancescaORCID,Sprio Andrea E.ORCID,Baroso Andrea,Riccardi Elisa,Pizzimenti Stefano,Carriero VitinaORCID,Arrigo Elisa,Di Stefano AntoninoORCID,Ricciardolo Fabio L.M.ORCID

Abstract

<b><i>Background:</i></b> In asthma, exhaled nitric oxide (F<sub>E</sub>NO) is a clinically established biomarker of airway T2 inflammation and an indicator for anti-inflammatory therapy. <b><i>Objectives:</i></b> The aim of the study was to identify, in an observational real-world cross-sectional study, the main characteristics of patients with asthma as classified by their F<sub>E</sub>NO level. <b><i>Method:</i></b> We stratified 398 patients with stable mild-to-severe asthma according to F<sub>E</sub>NO level as low (≤25 ppb) versus elevated (&#x3e;25 ppb), subdividing the latter into two subgroups: moderately elevated (26–50 ppb) versus very high F<sub>E</sub>NO (&#x3e;50 ppb). Clinical, functional, and blood parameters were extrapolated from patients’ chart data and compared with the F<sub>E</sub>NO stratification. Predictors of low and elevated F<sub>E</sub>NO asthma were detected by logistic regression model. <b><i>Results:</i></b> Low BMI, higher blood eosinophilia, allergen poly-sensitization, the severest airflow obstruction (FEV<sub>1</sub>/FVC), and anti-leukotriene use are predictors of elevated F<sub>E</sub>NO values in asthma, as well as persistent rhinitis and chronic rhinosinusitis with or without nasal polyps. Beyond these, younger age, more than 2 asthma exacerbations/year, higher airflow reversibility (post-bronchodilator ∆FEV<sub>1</sub>), and oral corticosteroid dependence are predictors of very high F<sub>E</sub>NO values. In contrast, obesity, obstructive sleep apnoea syndrome, gastroesophageal reflux disease, arterial hypertension, and myocardial infarction are predictors of low F<sub>E</sub>NO asthma. In our population, F<sub>E</sub>NO correlated with blood eosinophils, airflow obstruction, and reversibility and negatively correlated with age and BMI. <b><i>Conclusions:</i></b> Stratifying patients by F<sub>E</sub>NO level can identify specific asthma phenotypes with distinct clinical features and predictors useful in clinical practice to tailor treatment and improve asthmatic patients’ outcomes.

Publisher

S. Karger AG

Subject

Pulmonary and Respiratory Medicine

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