Severe asthma among adults: Prevalence and clinical characteristics

Author(s):  
Helena Backman ◽  
Sven-Arne Jansson ◽  
Caroline Stridsman ◽  
Berne Eriksson ◽  
Linnea Hedman ◽  
...  
Biomedicines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 764
Author(s):  
Shih-Lung Cheng ◽  
Kuo-Chin Chiu ◽  
Hsin-Kuo Ko ◽  
Diahn-Warng Perng ◽  
Hao-Chien Wang ◽  
...  

Purpose: To understand the association between biomarkers and exacerbations of severe asthma in adult patients in Taiwan. Materials and Methods: Demographic, clinical characteristics and biomarkers were retrospectively collected from the medical charts of severe asthma patients in six hospitals in Taiwan. Exacerbations were defined as those requiring asthma-specific emergency department visits/hospitalizations, or systemic steroids. Enrolled patients were divided into: (1) those with no exacerbations (non-exacerbators) and (2) those with one or more exacerbations (exacerbators). Receiver operating characteristic curves were used to determine the optimal cut-off value for biomarkers. Generalized linear models evaluated the association between exacerbation and biomarkers. Results: 132 patients were enrolled in the study with 80 non-exacerbators and 52 exacerbators. There was no significant difference in demographic and clinical characteristics between the two groups. Exacerbators had significantly higher eosinophils (EOS) counts (367.8 ± 357.18 vs. 210.05 ± 175.24, p = 0.0043) compared to non-exacerbators. The optimal cut-off values were 292 for EOS counts and 19 for the Fractional exhaled Nitric Oxide (FeNO) measure. Patients with an EOS count ≥ 300 (RR = 1.88; 95% CI, 1.26–2.81; p = 0.002) or FeNO measure ≥ 20 (RR = 2.10; 95% CI, 1.05–4.18; p = 0.0356) had a significantly higher risk of exacerbation. Moreover, patients with both an EOS count ≥ 300 and FeNO measure ≥ 20 had a significantly higher risk of exacerbation than those with lower EOS count or lower FeNO measure (RR = 2.16; 95% CI, 1.47–3.18; p = < 0.0001). Conclusions: Higher EOS counts and FeNO measures were associated with increased risk of exacerbation. These biomarkers may help physicians identify patients at risk of exacerbations and personalize treatment for asthma patients.


2002 ◽  
Vol 109 (1) ◽  
pp. S353-S353 ◽  
Author(s):  
Henry Avner Jenkins ◽  
Stanley J Szefler ◽  
Ronina A Covar ◽  
Monica Jones ◽  
Eleanor E Brown ◽  
...  

Author(s):  
Hana Muellerova ◽  
Necdet Gunsoy ◽  
Sarah Cockle ◽  
Linda Nelsen ◽  
Frank Albers

2012 ◽  
Vol 106 (1) ◽  
pp. 47-56 ◽  
Author(s):  
Regina Maria de Carvalho-Pinto ◽  
Alberto Cukier ◽  
Luciene Angelini ◽  
Leila Antonangelo ◽  
Thais Mauad ◽  
...  

1999 ◽  
Vol 160 (3) ◽  
pp. 1001-1008 ◽  
Author(s):  
SALLY E. WENZEL ◽  
LAWRENCE B. SCHWARTZ ◽  
ESTHER L. LANGMACK ◽  
JANET L. HALLIDAY ◽  
JOHN B. TRUDEAU ◽  
...  

Author(s):  
Stephanie Dobbelaere ◽  
Florence Schleich ◽  
Renaud Louis ◽  
Olivier Vandenplas ◽  
Alain Michils ◽  
...  

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