Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Anti-leukotriene agents compared to inhaled corticosteroids in the management of recurrent and/or chronic asthma in adults and children.

ABSTRACT:

SUBMITTER: Chauhan BF

PROVIDER: S-EPMC4164381 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Anti-leukotriene agents compared to inhaled corticosteroids in the management of recurrent and/or chronic asthma in adults and children.

Chauhan Bhupendrasinh F BF Ducharme Francine M FM

The Cochrane database of systematic reviews 20120516 5

<h4>Background</h4>Anti-leukotrienes (5-lipoxygenase inhibitors and leukotriene receptors antagonists) serve as alternative monotherapy to inhaled corticosteroids (ICS) in the management of recurrent and/or chronic asthma in adults and children.<h4>Objectives</h4>To determine the safety and efficacy of anti-leukotrienes compared to inhaled corticosteroids as monotherapy in adults and children with asthma and to provide better insight into the influence of patient and treatment characteristics on ...[more]

PMID: 22592685

Similar Datasets

COVID-19, Asthma, and Inhaled Corticosteroids: Another Beneficial Effect of Inhaled Corticosteroids?

Project description: Not available

| S-EPMC7328335 | biostudies-literature

Increased versus stable doses of inhaled corticosteroids for exacerbations of chronic asthma in adults and children.

Project description: Not available

| S-EPMC8504985 | biostudies-literature

Increased versus stable doses of inhaled corticosteroids for exacerbations of chronic asthma in adults and children.

Project description: Not available

| S-EPMC9512263 | biostudies-literature

Long-term adherence to inhaled corticosteroids and asthma control in adult-onset asthma.

Project description:BackgroundIn short-term studies, poor adherence to inhaled corticosteroids (ICS) has been associated with worse asthma control, but the association of long-term adherence and disease control remains unclear.ObjectiveTo assess the relationship between 12-year adherence to ICS and asthma control in patients with adult-onset asthma.MethodsAs part of the Seinäjoki Adult Asthma Study, 181 patients with clinically confirmed new-onset adult asthma and regular ICS medication were followed-up for 12 years. Adherence (%) to ICS was assessed individually ((µg dispensed/µg prescribed)×100) during the follow-up. Asthma control was evaluated after 12 years of treatment according to the Global Initiative for Asthma 2010 guideline.ResultsAsthma was controlled in 31% and not controlled (partly controlled or uncontrolled) in 69% of the patients. Patients with not-controlled asthma were more often male, older, nonatopic and used higher doses of ICS than those with controlled disease. The mean±sd 12-year adherence to ICS was 63±38% in patients with controlled asthma and 76±40% in patients with not-controlled disease (p=0.042). Among patients with not-controlled asthma, those with lower 12-year adherence (<80%) had more rapid decline in forced expiratory volume in 1 s (-47 mL·year-1) compared to patients with better adherence (≥80%) (-40 mL·year-1) (p=0.024). In contrast, this relationship was not seen in patients with controlled asthma.ConclusionsIn adult-onset asthma, patients with not-controlled disease showed better 12-year adherence to ICS treatment than those with controlled asthma. In not-controlled disease, adherence <80% was associated with more rapid lung function decline, underscoring the importance of early recognition of such patients in routine clinical practice.

| S-EPMC7869602 | biostudies-literature

12-year adherence to inhaled corticosteroids in adult-onset asthma.

Project description:Adherence to inhaled corticosteroids (ICS) has been suggested to be poor but long-term follow-ups are lacking. The objective of the present study was to assess adherence to ICS treatment in patients with adult-onset asthma during 12-year follow-up. A total of 181 patients with clinically confirmed, new-onset adult asthma were followed for 12 years as part of the Seinäjoki Adult Asthma Study. Adherence to ICS was assessed individually as the percentage of true dispensed ICS in micrograms per true prescribed daily ICS in micrograms over 12 years. Mean 12-year adherence to ICS was 69% (mean±sd dispensed 2.5±1.8 g and prescribed 3.6±1.5 g budesonide equivalent per patient for 12 years), annual adherence varying between 81% (year 1) and 67% (year 12). Patients with good 12-year adherence (≥80%) used oral corticosteroids more often, and had add-on drugs in use and asthma-related visits to healthcare more often. In addition, they showed less reversibility in forced expiratory volume in 1 s and had higher peripheral blood neutrophil counts. However, lung function decline was steeper in patients with poorer adherence (<80%) and this association remained in multiple linear regression analysis. No difference was found in symptom scores, blood eosinophil counts, exhaled nitric oxide or immunoglobulin E between the patients with different levels of adherence. In patients with adult-onset asthma, adherence to ICS was moderate. Poorer adherence (<80%) to ICS was associated with more rapid decline in lung function but was not associated to symptoms or markers of inflammatory endotypes.

| S-EPMC7086072 | biostudies-literature

Inhaled corticosteroids and long term outcome in adults with asthma.

Project description: Not available

| S-EPMC2121169 | biostudies-literature

Combined inhaled beta-agonist and anticholinergic agents for emergency management in adults with asthma.

Project description: Not available

| S-EPMC6465060 | biostudies-literature

THE PARADOXICAL EFFECT ON PNEUMONIA OF CHRONIC INHALED CORTICOSTEROIDS.

Project description:Community-acquired pneumonia (CAP) is the leading infectious cause of death in developed countries. Several studies have shown that the risk of pneumonia is increased in patients with Chronic Obstructive Pulmonary Disease (COPD) who are receiving chronic inhaled corticosteroids (ICS). The impact of ICS On pneumonia prognosis is controversial. Recent studies have shown that COPD patients with prior ICS use have less mortality after developing CAP as compared with patients with COPD without prior ICS use. This review discusses the association of ICS and the risk of CAP and its association with clinical outcomes in patients with COPD and pneumonia.

| S-EPMC3828120 | biostudies-other

Inhaled corticosteroids and the beneficial effect of deep inspiration in asthma.

Project description:Deep inspiration-induced bronchoprotection and bronchodilation are impaired in asthma. We evaluated the effect of inhaled glucocorticosteroids on these phenomena. Two groups of subjects with asthma, 9 with moderate/severe hyperresponsiveness to methacholine, and 12 with mild/borderline hyperresponsiveness to methacholine, received inhaled fluticasone (880 microg daily) for 12 weeks. Serial bronchoprovocations were performed at Weeks 0, 6, and 12. The impact of deep inspirations on the airway response to methacholine was evaluated on the basis of inspiratory vital capacity and FEV(1). Fluticasone produced a wide spectrum of changes in the beneficial effects of deep inspiration, but the mean changes were not significant. The magnitude of the steroid-induced changes in bronchoprotection by deep inspiration correlated with baseline log PC(20) (the provocative concentration of methacholine causing a 20% fall in FEV(1); higher log PC(20) predicted improvement of the deep inspiration effect). The steroid-induced changes led to the emergence of strong positive correlations between the effects of deep inspiration and the methacholine log PC(20) that did not exist at baseline. We conclude that deep inspiration-induced bronchoprotection can be restored by inhaled glucocorticosteroids only in individuals with mild hyperresponsiveness. After steroid treatment, the beneficial effects of deep inspiration become significant determinants of the magnitude of airway hyperresponsiveness.

| S-EPMC2718551 | biostudies-literature

Machine Learning Prediction of Treatment Response to Inhaled Corticosteroids in Asthma.

Project description:BackgroundAlthough inhaled corticosteroids (ICS) are the first-line therapy for patients with persistent asthma, many patients continue to have exacerbations. We developed machine learning models to predict the ICS response in patients with asthma.MethodsThe subjects included asthma patients of European ancestry (n = 1371; 448 children; 916 adults). A genome-wide association study was performed to identify the SNPs associated with ICS response. Using the SNPs identified, two machine learning models were developed to predict ICS response: (1) least absolute shrinkage and selection operator (LASSO) regression and (2) random forest.ResultsThe LASSO regression model achieved an AUC of 0.71 (95% CI 0.67-0.76; sensitivity: 0.57; specificity: 0.75) in an independent test cohort, and the random forest model achieved an AUC of 0.74 (95% CI 0.70-0.78; sensitivity: 0.70; specificity: 0.68). The genes contributing to the prediction of ICS response included those associated with ICS responses in asthma (TPSAB1, FBXL16), asthma symptoms and severity (ABCA7, CNN2, PTRN3, and BSG/CD147), airway remodeling (ELANE, FSTL3), mucin production (GAL3ST), leukotriene synthesis (GPX4), allergic asthma (ZFPM1, SBNO2), and others.ConclusionsAn accurate risk prediction of ICS response can be obtained using machine learning methods, with the potential to inform personalized treatment decisions. Further studies are needed to examine if the integration of richer phenotype data could improve risk prediction.

| S-EPMC10970828 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data