Refining mild asthma phenotyping with FeNO: a population-based evaluation

Charmaine J. M. Lim; Marie-Kathrin Breyer; Emiel F. M. Wouters; Robab Breyer-Kohansal

doi:10.1038/s41533-025-00456-4

Refining mild asthma phenotyping with FeNO: a population-based evaluation

Charmaine J. M. Lim^*
, Marie-Kathrin Breyer
, Emiel F. M. Wouters
, Robab Breyer-Kohansal

^*Corresponding author for this work

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

Abstract

The utility of fractional exhaled nitric oxide (FeNO) was evaluated alongside blood eosinophils in phenotyping mild asthma. Inclusion of FeNO improved classification accuracy and calibration in an adapted ISAR-based model; however, its predictive improvement was modest and its susceptibility to transient elevations suggests limited added value for routine clinical classification. Simplified algorithms may offer more accurate phenotyping in population-based settings with real-world constraints.

Original language	English
Article number	47
Number of pages	5
Journal	npj Primary Care Respiratory Medicine
Volume	35
Issue number	1
DOIs	https://doi.org/10.1038/s41533-025-00456-4
Publication status	Published - 27 Oct 2025

Keywords

EXHALED NITRIC-OXIDE
EXACERBATIONS

Access to Document

10.1038/s41533-025-00456-4Licence: CC BY-NC-ND

Cite this

@article{fdcbee9712d24031b69cb62eaa65358b,

title = "Refining mild asthma phenotyping with FeNO: a population-based evaluation",

abstract = "The utility of fractional exhaled nitric oxide (FeNO) was evaluated alongside blood eosinophils in phenotyping mild asthma. Inclusion of FeNO improved classification accuracy and calibration in an adapted ISAR-based model; however, its predictive improvement was modest and its susceptibility to transient elevations suggests limited added value for routine clinical classification. Simplified algorithms may offer more accurate phenotyping in population-based settings with real-world constraints.",

keywords = "EXHALED NITRIC-OXIDE, EXACERBATIONS",

author = "Lim, \{Charmaine J. M.\} and Marie-Kathrin Breyer and Wouters, \{Emiel F. M.\} and Robab Breyer-Kohansal",

year = "2025",

month = oct,

day = "27",

doi = "10.1038/s41533-025-00456-4",

language = "English",

volume = "35",

journal = "npj Primary Care Respiratory Medicine",

issn = "2055-1010",

publisher = "Nature Research",

number = "1",

}

TY - JOUR

T1 - Refining mild asthma phenotyping with FeNO

T2 - a population-based evaluation

AU - Lim, Charmaine J. M.

AU - Breyer, Marie-Kathrin

AU - Wouters, Emiel F. M.

AU - Breyer-Kohansal, Robab

PY - 2025/10/27

Y1 - 2025/10/27

N2 - The utility of fractional exhaled nitric oxide (FeNO) was evaluated alongside blood eosinophils in phenotyping mild asthma. Inclusion of FeNO improved classification accuracy and calibration in an adapted ISAR-based model; however, its predictive improvement was modest and its susceptibility to transient elevations suggests limited added value for routine clinical classification. Simplified algorithms may offer more accurate phenotyping in population-based settings with real-world constraints.

AB - The utility of fractional exhaled nitric oxide (FeNO) was evaluated alongside blood eosinophils in phenotyping mild asthma. Inclusion of FeNO improved classification accuracy and calibration in an adapted ISAR-based model; however, its predictive improvement was modest and its susceptibility to transient elevations suggests limited added value for routine clinical classification. Simplified algorithms may offer more accurate phenotyping in population-based settings with real-world constraints.

KW - EXHALED NITRIC-OXIDE

KW - EXACERBATIONS

U2 - 10.1038/s41533-025-00456-4

DO - 10.1038/s41533-025-00456-4

M3 - Comment/Letter to the editor

SN - 2055-1010

VL - 35

JO - npj Primary Care Respiratory Medicine

JF - npj Primary Care Respiratory Medicine

IS - 1

M1 - 47

ER -

Refining mild asthma phenotyping with FeNO: a population-based evaluation

Abstract

Keywords

Access to Document

Fingerprint

Cite this