Association between exhaled nitric oxide and nasal polyposis in severe asthma.


Journal

Respiratory medicine
ISSN: 1532-3064
Titre abrégé: Respir Med
Pays: England
ID NLM: 8908438

Informations de publication

Date de publication:
06 2019
Historique:
received: 04 01 2019
revised: 09 03 2019
accepted: 21 04 2019
entrez: 27 5 2019
pubmed: 28 5 2019
medline: 28 4 2020
Statut: ppublish

Résumé

Although several contributions exist on the role of fractional exhaled NO (FeNO) in diagnosis and management of asthma, no studies have analysed the association between FeNO in patients with severe asthma and nasal polyposis. We investigated the potential association between FeNO and the presence of nasal polyps in patients affected by severe asthma. Study population included 93 severe asthmatic adult patients consecutively enrolled from four Italian specialist clinic centres from 2015 to 2018. In these patients lung function, asthma control, FeNO, blood eosinophils and CT scan of paranasal sinuses were evaluated. Nasal polyposis was observed in 28 patients (30%). Among univariate predictors (lower BMI, higher FeNO, eosinophil and neutrophil count), recursive partitioning analysis identified as best predictors of nasal polyposis high values of eosinophil count (≥6.5% or >420 cells/mm Our results show that FeNO might improve to detect nasal polyposis in patients with severe asthma and a low level of blood eosinophils counts, identifying individuals with high susceptibility to this condition.

Sections du résumé

BACKGROUND
Although several contributions exist on the role of fractional exhaled NO (FeNO) in diagnosis and management of asthma, no studies have analysed the association between FeNO in patients with severe asthma and nasal polyposis.
AIM
We investigated the potential association between FeNO and the presence of nasal polyps in patients affected by severe asthma.
METHODS
Study population included 93 severe asthmatic adult patients consecutively enrolled from four Italian specialist clinic centres from 2015 to 2018. In these patients lung function, asthma control, FeNO, blood eosinophils and CT scan of paranasal sinuses were evaluated.
RESULTS
Nasal polyposis was observed in 28 patients (30%). Among univariate predictors (lower BMI, higher FeNO, eosinophil and neutrophil count), recursive partitioning analysis identified as best predictors of nasal polyposis high values of eosinophil count (≥6.5% or >420 cells/mm
CONCLUSIONS
Our results show that FeNO might improve to detect nasal polyposis in patients with severe asthma and a low level of blood eosinophils counts, identifying individuals with high susceptibility to this condition.

Identifiants

pubmed: 31128605
pii: S0954-6111(19)30138-6
doi: 10.1016/j.rmed.2019.04.017
pii:
doi:

Substances chimiques

Biomarkers 0
Nitric Oxide 31C4KY9ESH

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20-24

Informations de copyright

Copyright © 2019. Published by Elsevier Ltd.

Auteurs

Mauro Maniscalco (M)

Pulmonary Rehabilitation Unit, ICS Maugeri SpA, IRCCS, Telese Terme, Benevento, Italy. Electronic address: mauromaniscalco@hotmail.com.

Cecilia Calabrese (C)

Department of Respiratory Medicine, University Federico II, Naples, Italy.

Maria D'Amato (M)

Department of Respiratory Medicine, University Federico II, Naples, Italy.

Pietro Guida (P)

Pulmonary Rehabilitation Unit, ICS Maugeri SpA, IRCCS, Telese Terme, Benevento, Italy.

Antonio Molino (A)

Department of Respiratory Medicine, University Federico II, Naples, Italy.

Maria Aliani (M)

Pulmonary Rehabilitation Unit, ICS Maugeri SpA, IRCCS, Cassano Delle Murge, Bari, Italy.

Renato De Tullio (R)

Pulmonary Rehabilitation Unit, ICS Maugeri SpA, IRCCS, Cassano Delle Murge, Bari, Italy.

Mariapia Foschino Barbaro (M)

Institute of Respiratory Diseases, Department of Medical and Surgical Sciences, University of Foggia, Italy.

Fabio Luigi Massimo Ricciardolo (FLM)

Department of Clinical and Biological Sciences, University of Torino, Torino, Italy.

Giovanna Elisiana Carpagnano (GE)

Institute of Respiratory Diseases, Department of Medical and Surgical Sciences, University of Foggia, Italy.

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Classifications MeSH