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Diagnostic biomarkers for chronic rhinosinusitis in adult asthmatics in real-world practice
被引:0
|作者:
Jang, Jae-Hyuk
[1
]
Yang, Eun-Mi
[1
]
Lee, Youngsoo
[1
]
Shin, Yoo Seob
[1
]
Ye, Young -Min
[1
]
Park, Hae-Sim
[1
]
机构:
[1] Ajou Univ, Sch Med, Dept Allergy & Clin Immunol, 164 World Cup Ro, Suwon 16499, South Korea
来源:
关键词:
Asthma;
Rhinitis;
Sinusitis;
Eosinophils;
Biomarkers;
Periostin;
Dipeptidyl-peptidases and tripeptidyl-peptidases;
Fractional exhaled nitric oxide testing;
SERUM PERIOSTIN;
NASAL POLYPS;
MATRIX METALLOPROTEINASES;
KOREAN POPULATION;
INFLAMMATION;
EOSINOPHILIA;
ASSOCIATION;
ENDOTYPES;
SEVERITY;
AIRWAYS;
D O I:
10.1016/j.waojou.2024.100879
中图分类号:
R392 [医学免疫学];
学科分类号:
100102 ;
摘要:
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 b2- 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 Xray 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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页数:12
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