Association between fractional exhaled nitric oxide and peripheral eosinophils in patients with asthma: a retrospective cohort study
Habis, Y.; Sakkat, A.; Alaidaroos, S.; AlGhamdi, R.; Almuwalad, N.; Aljuhani, J.; Alharbi, A.
Show abstract
BackgroundFractional exhaled nitric oxide (FeNO) and peripheral eosinophils are important biomarkers of Type 2 inflammation in asthma. FeNO reflects airway inflammation, while eosinophil counts indicate systemic eosinophilic activity. Their combined utility in asthma management warrants further investigation. ObjectiveThis study aimed to assess and compare FeNO levels and peripheral eosinophils in asthmatic patients, examining their relationship with disease characteristics and bronchodilator responsiveness (BDR). MethodsA retrospective analysis of 101 adult asthmatic patients at King Abdulaziz University, Jeddah, was conducted. Patient data on FeNO, eosinophil counts, spirometry, and comorbidities were collected and analyzed using correlation and receiver operating characteristic (ROC) curve analysis. ResultsThe mean FeNO level was 68.9{+/-}61.3 ppb, and the mean eosinophil count was 310.5{+/-}344.2 cells/L. FeNO levels were significantly higher in patients with eosinophil counts [≥]300 cells/L (p=0.012) and correlated positively with BDR (r=0.38, p=0.001) but not with eosinophil counts (r=0.16, p=0.11) or asthma control test (ACT) scores. Eosinophil counts were significantly associated with moderate airway obstruction (p=0.041). FeNO showed a borderline ability to differentiate allergic rhinitis (p=0.059) but limited performance in identifying other comorbidities, such as chronic rhinosinusitis (p=0.17), GERD (p=0.87), and eczema/atopic dermatitis (p=0.11 and p=0.24, respectively). ConclusionFeNO and peripheral eosinophil counts are valuable complementary biomarkers for assessing type 2 inflammation in asthma and guiding treatment. However, their variability across clinical contexts underscores the need for integration with other assessments. These findings support a multidimensional approach to asthma management and call for further research to refine their clinical applications.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Airway expression of SARS-CoV-2 receptor, ACE2, and proteases, TMPRSS2 and furin, in severe asthma 95%
- Causes And MEchanisms foR non-atopic Asthma in Children (CAMERA) Study: rationale and protocol 92%
- Potentiation of Long-Acting β2-Agonist and Glucocorticoid Responses in Human Airway Epithelial Cells by Modulation of Intracellular cAMP 90%
Similar papers in this journal
- Oral feeding with probiotic Lactobacillus rhamnosus attenuates cigarette smoke-induced COPD in C57Bl/6 mice: Relevance to inflammatory markers in human bronchial epithelial cells 95%
- Neonatal endotoxin stimulation was associated with long- term innate immune markers and an anti-allergic response in bronchiolar epithelium in spite of allergen challenge 94%
- The dichotomous impacts of semaphorin3E deficiency on exacerbating airway hyperresponsiveness, remodelling, and inflammation in type-2 low and type-2 high asthma models 94%
Similar papers in this journal
- Anxiety disorders and asthma among adolescents in urban Uganda: the role of early life exposures 92%
- Development and validation of a parent proxy bronchiectasis child quality of life instrument: The BC-QoL 92%
- COPD in the time of COVID-19: An analysis of acute exacerbations and reported behavioural changes in patients with COPD 92%
Similar papers in this journal
- Risk factors for asthma-related hospital and intensive care admissions in children, adolescents, and adults: a cohort study using primary and secondary care data 92%
- The Association of Alpha Globin Gene Copy Number with Exhaled Nitric Oxide in a Cross-sectional Study of Healthy Black Adults 91%
- Vitamin D Status: A U-shaped relationship for SARS-CoV-2 seropositivity in UK healthcare workers 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.