sputum eosinophil
Recently Published Documents


TOTAL DOCUMENTS

66
(FIVE YEARS 15)

H-INDEX

15
(FIVE YEARS 2)

2022 ◽  
pp. 00560-2021
Author(s):  
Ian D. Pavord ◽  
Roland Buhl ◽  
Monica Kraft ◽  
Charlene M. Prazma ◽  
Robert G. Price ◽  
...  

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Bingqing Shi ◽  
Wei Li ◽  
Yuqiu Hao ◽  
Hongna Dong ◽  
Wenjing Cao ◽  
...  

Abstract Background There is a need to identify the asthma inflammatory phenotypes of patients to facilitate personalized asthma treatment. Sputum induction is time-consuming and requires expert clinical technique. This study aimed to assess the distribution and characteristics of asthma inflammatory phenotypes in Jilin Province, China; it also aimed to identify an easier method for characterization of an asthma phenotype, rather than sputum cellular analysis. Methods In this study, 232 asthma patients underwent sputum induction following clinical assessment and blood collection. Inflammatory cell counts in sputum were used to classify asthma inflammatory phenotypes. Receiver operating characteristic curve and Spearman correlation coefficient analyses were used to identify correlations between clinical parameters. Results Among the included patients, there had 52.1% paucigranulocytic, 38.4% eosinophilic, 4.3% neutrophilic, and 5.2% mixed granulocytic asthma phenotypes, respectively. In total, 129 (55.6%) patients had asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO); these patients had higher proportion of smokers, higher sputum neutrophil count, worse lung function, and worse asthma control, compared with patients who had asthma alone (p < 0.05). Sputum eosinophil/neutrophil counts were positively correlated with blood eosinophil/neutrophil counts (p < 0.01). To identify the presence of sputum eosinophil proportion ≥ 3%, optimal cut-off values for blood eosinophil count and fractional exhaled nitric oxide (FeNO) were 0.2 × 109/L and 30.25 ppd (area under the curve (AUC) = 0.744; AUC = 0.653, p < 0.001). AUCs did not significantly differ between FeNO and blood eosinophil count (p = 0.162), but both exhibited poor specificity (57% and 49%, respectively). To identify the presence of sputum neutrophil proportion ≥ 61%, the optimal cut-off value for blood neutrophil proportion was 69.3% (AUC = 0.691, p = 0.0003); however, this exhibited poor sensitivity (50%). Conclusions Paucigranulocytic asthma was the most common phenotype, followed by eosinophilic asthma. Higher proportion of smokers, poor patient compliance, insufficient treatment, and poor asthma control may have been the main causes of high ACO proportion among patients in this study. Blood eosinophil/neutrophil counts exhibited poor specificity and sensitivity for prediction of airway eosinophilic/neutrophilic inflammation.


Author(s):  
Hajar Ali ◽  
Collin Brooks ◽  
Julian Crane ◽  
Richard Beasley ◽  
Stephen Holgate ◽  
...  

ABSTRACT Background: Neural mechanisms may play an important role in non-eosinophilic asthma. This study compared airway sensory nerve reactivity, using capsaicin challenge, in eosinophilic and non-eosinophilic asthma and non-asthmatics. Methods: Thirty-eight asthmatics and nineteen non-asthmatics (aged 14-21 years) underwent combined hypertonic saline challenge/sputum induction, exhaled nitric oxide (FeNO), atopy, and spirometry tests, followed by capsaicin challenge. Eosinophilic (EA) and non-eosinophilic asthma (NEA) were defined using a sputum eosinophil cut-point of 2.5%. Airway hyperreactivity (AHR) was defined as a ≥15% drop in FEV1 during saline challenge. Sensory nerve reactivity was defined as the lowest capsaicin concentration that evoked 5 (C5) coughs. Results: Non-eosinophilic asthmatics (n=20) had heightened capsaicin sensitivity (lower C5) compared to non-asthmatics (n=19) (geometric mean C5: 58.3μM, 95% confidence interval 24.1-141.5 vs 193.6μM, 82.2-456.0; p<0.05). There was a similar (but non-significant) difference in capsaicin sensitivity in NEA compared with EA (n=18), (58.3μM, 24.1-141.5 vs 191.0μM, 70.9-514.0; p=0.07). FEV1 was significantly reduced from baseline following capsaicin inhalation in both asthmatics and non-asthmatics but no differences were found between subgroups. No associations with capsaicin sensitivity and atopy, sputum eosinophils, blood eosinophils, asthma control, or treatment were observed. Conclusion: Non-eosinophilic asthma, but not eosinophilic asthma, showed enhanced capsaicin sensitivity compared with non-asthmatics. Sensory nerve reactivity may therefore play an important role in the pathophysiology of non-eosinophilic asthma.


Author(s):  
James Michael Ramsahai ◽  
Emily King ◽  
Robert Niven ◽  
Gael Tavernier ◽  
Peter Wark ◽  
...  

Abstract Background Severe asthma is a complex heterogeneous disease typically requiring advanced therapies. Underlying the treatment of all asthma, however, is the consistent recommendation across international guidelines to ensure that adherence to therapy is adequate. Currently, there is no consensus on an objective marker of adherence.Methods We performed a prospective observational study of 17 participants taking oral prednisolone using serum prednisolone levels as a marker of adherence, and sputum eosinophilia as a marker of control of type 2 airway inflammation. Based on these biomarkers, we classified participants into a non-adherent and an adherent cohort, and further stratified by the presence of ongoing sputum eosinophilia.Results We identified 3 non-adherent participants and 14 who were adherent, based on their serum prednisolone levels. Stratification using sputum eosinophil counts identified one participant as having ongoing sputum eosinophilia in the setting of non-adherence, while six were identified as steroid resistant with ongoing sputum eosinophilia despite adherence to oral prednisolone therapy.Conclusion Serum prednisolone can be used an objective marker of adherence in those patients with severe asthma taking daily oral prednisolone. In combination with sputum eosinophil counts, a steroid resistant cohort can be distinguished from one with ongoing inflammation in the setting of non-adherence. This information can then be used by clinicians to differentiate the optimal next steps for treatment in these specific populations.


Sign in / Sign up

Export Citation Format

Share Document