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


Journal

Respiration; international review of thoracic diseases
ISSN: 1423-0356
Titre abrégé: Respiration
Pays: Switzerland
ID NLM: 0137356

Informations de publication

Date de publication:
2022
Historique:
received: 23 08 2021
accepted: 29 03 2022
pubmed: 6 5 2022
medline: 5 8 2022
entrez: 5 5 2022
Statut: ppublish

Résumé

In asthma, exhaled nitric oxide (FENO) is a clinically established biomarker of airway T2 inflammation and an indicator for anti-inflammatory therapy. 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 FENO level. We stratified 398 patients with stable mild-to-severe asthma according to FENO level as low (≤25 ppb) versus elevated (>25 ppb), subdividing the latter into two subgroups: moderately elevated (26-50 ppb) versus very high FENO (>50 ppb). Clinical, functional, and blood parameters were extrapolated from patients' chart data and compared with the FENO stratification. Predictors of low and elevated FENO asthma were detected by logistic regression model. Low BMI, higher blood eosinophilia, allergen poly-sensitization, the severest airflow obstruction (FEV1/FVC), and anti-leukotriene use are predictors of elevated FENO 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 ∆FEV1), and oral corticosteroid dependence are predictors of very high FENO values. In contrast, obesity, obstructive sleep apnoea syndrome, gastroesophageal reflux disease, arterial hypertension, and myocardial infarction are predictors of low FENO asthma. In our population, FENO correlated with blood eosinophils, airflow obstruction, and reversibility and negatively correlated with age and BMI. Stratifying patients by FENO level can identify specific asthma phenotypes with distinct clinical features and predictors useful in clinical practice to tailor treatment and improve asthmatic patients' outcomes.

Sections du résumé

BACKGROUND
In asthma, exhaled nitric oxide (FENO) is a clinically established biomarker of airway T2 inflammation and an indicator for anti-inflammatory therapy.
OBJECTIVES
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 FENO level.
METHOD
We stratified 398 patients with stable mild-to-severe asthma according to FENO level as low (≤25 ppb) versus elevated (>25 ppb), subdividing the latter into two subgroups: moderately elevated (26-50 ppb) versus very high FENO (>50 ppb). Clinical, functional, and blood parameters were extrapolated from patients' chart data and compared with the FENO stratification. Predictors of low and elevated FENO asthma were detected by logistic regression model.
RESULTS
Low BMI, higher blood eosinophilia, allergen poly-sensitization, the severest airflow obstruction (FEV1/FVC), and anti-leukotriene use are predictors of elevated FENO 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 ∆FEV1), and oral corticosteroid dependence are predictors of very high FENO values. In contrast, obesity, obstructive sleep apnoea syndrome, gastroesophageal reflux disease, arterial hypertension, and myocardial infarction are predictors of low FENO asthma. In our population, FENO correlated with blood eosinophils, airflow obstruction, and reversibility and negatively correlated with age and BMI.
CONCLUSIONS
Stratifying patients by FENO level can identify specific asthma phenotypes with distinct clinical features and predictors useful in clinical practice to tailor treatment and improve asthmatic patients' outcomes.

Identifiants

pubmed: 35512642
pii: 000524498
doi: 10.1159/000524498
doi:

Substances chimiques

Nitric Oxide 31C4KY9ESH

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

746-756

Informations de copyright

© 2022 S. Karger AG, Basel.

Auteurs

Francesca Bertolini (F)

Department of Clinical and Biological Sciences, Rare Lung Disease Unit and Severe Asthma Centre, San Luigi Gonzaga University Hospital, University of Turin, Turin, Italy.

Andrea E Sprio (AE)

Department of Clinical and Biological Sciences, Rare Lung Disease Unit and Severe Asthma Centre, San Luigi Gonzaga University Hospital, University of Turin, Turin, Italy.
Department of Research, ASOMI College of Sciences, Marsa, Malta.

Andrea Baroso (A)

Department of Clinical and Biological Sciences, Rare Lung Disease Unit and Severe Asthma Centre, San Luigi Gonzaga University Hospital, University of Turin, Turin, Italy.

Elisa Riccardi (E)

Department of Clinical and Biological Sciences, Rare Lung Disease Unit and Severe Asthma Centre, San Luigi Gonzaga University Hospital, University of Turin, Turin, Italy.

Stefano Pizzimenti (S)

Rare Lung Disease Unit and Severe Asthma Centre, San Luigi Gonzaga University Hospital, Turin, Italy.

Vitina Carriero (V)

Department of Clinical and Biological Sciences, Rare Lung Disease Unit and Severe Asthma Centre, San Luigi Gonzaga University Hospital, University of Turin, Turin, Italy.

Elisa Arrigo (E)

Department of Clinical and Biological Sciences, Rare Lung Disease Unit and Severe Asthma Centre, San Luigi Gonzaga University Hospital, University of Turin, Turin, Italy.

Antonino Di Stefano (A)

Division of Pneumology and Laboratory of Cytoimmunopathology of the Heart and Lung, Istituti Clinici Scientifici Maugeri, IRCCS, Novara, Italy.

Fabio L M Ricciardolo (FLM)

Department of Clinical and Biological Sciences, Rare Lung Disease Unit and Severe Asthma Centre, San Luigi Gonzaga University Hospital, University of Turin, Turin, Italy.

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