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Diagnostic biomarkers for chronic rhinosinusitis in adult asthmatics in real-world practice.
Jang, Jae-Hyuk; Yang, Eun-Mi; Lee, Youngsoo; Shin, Yoo Seob; Ye, Young-Min; Park, Hae-Sim.
Afiliação
  • Jang JH; Department of Allergy & Clinical Immunology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Yang EM; Department of Allergy & Clinical Immunology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Lee Y; Department of Allergy & Clinical Immunology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Shin YS; Department of Allergy & Clinical Immunology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Ye YM; Department of Allergy & Clinical Immunology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Park HS; Department of Allergy & Clinical Immunology, Ajou University School of Medicine, Suwon, Republic of Korea.
World Allergy Organ J ; 17(3): 100879, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38380106
ABSTRACT

Background:

Chronic rhinosinusitis (CRS) is a common comorbid condition of asthma that affects the long-term outcome of asthmatic patients. CRS is a heterogeneous disease requiring multiple biomarkers to explain its pathogenesis. This study aimed to develop potential biomarkers for predicting CRS in adult asthmatic patients in a real-world clinical setting.

Methods:

This study enrolled 108 adult asthmatic patients who had maintained anti-asthmatic medications, including medium-to-high doses of inhaled corticosteroid plus long-acting ß2-agonists, and compared clinical characteristics between patients with CRS (CRS group) and those without CRS (non-CRS group). CRS was diagnosed based on the results of paranasal sinus X-ray and/or osteomeatal-unit CT as well as clinical symptoms. Type-2 parameters, including blood eosinophil count, serum levels of periostin/dipeptidyl peptidase 10 (DPP10) and clinical parameters, such as FEV1% and fractional exhaled nitric oxide (FeNO), were analyzed. All biomarkers were evaluated by logistic regression and classification/regression tree (CRT) analyses.

Results:

The CRS group had higher blood eosinophil counts/FeNO levels and prevalence of aspirin-exacerbated respiratory disease (AERD) than the non-CRS group (n = 57, 52.8% vs. n = 75, 47.2%; P < 0.05), but no differences in sex/smoking status or asthma control status were noted. The CRS group had higher serum periostin/DPP10 levels than the non-CRS group. Moreover, logistic regression demonstrated that serum periostin/DPP10 and the AERD phenotype were significant factors for predicting CRS in asthmatic patients (adjusted odds ratio, 2.14/1.94/12.39). A diagnostic algorithm and the optimal cutoff values determined by CRT analysis were able to predict CRS with 86.27% sensitivity (a 0.17 negative likelihood ratio).

Conclusion:

Serum periostin, DPP10 and the phenotype of AERD are valuable biomarkers for predicting CRS in adult asthmatic patients in clinical practice.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: World Allergy Organ J Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: World Allergy Organ J Ano de publicação: 2024 Tipo de documento: Article