Extended nitric oxide analysis in patients with suspected airway hyperreactivity

OBJECTIVES: a key feature of asthma is airway hyperresponsiveness (AHR), which is typically diagnosed through methacholine challenge testing (MCT). Fractional exhaled nitric oxide (FENO) is a non-invasive marker of type-2 inflammation. Extended nitric oxide analysis breaks this down into bronchial (JawNO) and alveolar (CANO) components; we aimed to determine whether this extensive analysis offers added value in diagnosing AHR beyond what conventional FENO testing can provide. METHODS: seventy-two consecutive patients referred for MCT were prospectively enrolled and underwent spirometry, extended nitric oxide analysis, and MCT. AHR was defined using three methacholine dose thresholds for PD20FEV1 (≤400, ≤800, and ≤1600 µg). RESULTS: AHR prevalence ranged from 23.6% at the lowest threshold (≤400 µg) to 44.4% at the highest (≤1600 µg). Patients with positive AHR had significantly elevated FENO and JawNO across all thresholds. The best FENO and JawNO cut-offs provided strong negative predictive values, but their positive predictive values were low. CONCLUSION: extended nitric oxide analysis - especially FENO and JawNO - may improves the diagnostic capability of exhaled nitric oxide in predicting AHR. These findings highlight its potential as a quick, non-invasive way to rule out AHR, which could simplify asthma diagnosis and reduce the need for lengthy bronchial challenge testing.

Authors

Institutions

Publication Details

Journal
Journal of Asthma
Published
2026-08-03
DOI
https://doi.org/10.1080/02770903.2026.2712835
Primary Topic
Asthma and respiratory diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Extended nitric oxide analysis in patients with suspected airway hyperreactivity

Donatella Lamacchia, Corrado Pelaia, Marta Casini, Maria Messina et al.
Journal of Asthma
Asthma and respiratory diseases
article

Extended nitric oxide analysis in patients with suspected airway hyperreactivity

Donatella Lamacchia, Corrado Pelaia, Marta Casini, Maria Messina, Emanuele Nappi, Sebastian Ferri, Giovanni Paoletti, Enrico Heffler, Francesca Puggioni, Giovanni Costanzo, Giorgio Walter Canonica
article en

Abstract

OBJECTIVES: a key feature of asthma is airway hyperresponsiveness (AHR), which is typically diagnosed through methacholine challenge testing (MCT). Fractional exhaled nitric oxide (FENO) is a non-invasive marker of type-2 inflammation. Extended nitric oxide analysis breaks this down into bronchial (JawNO) and alveolar (CANO) components; we aimed to determine whether this extensive analysis offers added value in diagnosing AHR beyond what conventional FENO testing can provide. METHODS: seventy-two consecutive patients referred for MCT were prospectively enrolled and underwent spirometry, extended nitric oxide analysis, and MCT. AHR was defined using three methacholine dose thresholds for PD20FEV1 (≤400, ≤800, and ≤1600 µg). RESULTS: AHR prevalence ranged from 23.6% at the lowest threshold (≤400 µg) to 44.4% at the highest (≤1600 µg). Patients with positive AHR had significantly elevated FENO and JawNO across all thresholds. The best FENO and JawNO cut-offs provided strong negative predictive values, but their positive predictive values were low. CONCLUSION: extended nitric oxide analysis - especially FENO and JawNO - may improves the diagnostic capability of exhaled nitric oxide in predicting AHR. These findings highlight its potential as a quick, non-invasive way to rule out AHR, which could simplify asthma diagnosis and reduce the need for lengthy bronchial challenge testing.

Journal of Asthma
University of Parma (IT), Humanitas University (IT), Magna Graecia University (IT), IRCCS Humanitas Research Hospital (IT)
Openalex Percentile: Top 9%
Asthma and respiratory diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.