Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Main subject
Language
Publication year range
1.
Respir Res ; 22(1): 136, 2021 May 04.
Article in English | MEDLINE | ID: mdl-33947403

ABSTRACT

BACKGROUND: In France, data regarding epidemiology and management of severe asthma are scarce. The objective of this study was to describe asthma phenotypes using a cluster analysis in severe asthmatics recruited in a real world setting. METHODS: The study design was prospective, observational and multicentric. The patients included were adults with severe asthma (GINA 4-5) followed-up in French Non Academic Hospital between May 2016 and June 2017. One hundred and seven physicians included 1502 patients. Both sociodemographic and clinical variables were collected. Hierarchical cluster analysis was performed by the Ward method followed by k-means cluster analysis on a population of 1424 patients. RESULTS: Five clusters were identified: cluster 1 (n = 690, 47%) called early onset allergic asthma (47.5% with asthma before 12 years), cluster 2 (n = 153, 10.5%): obese asthma (63.5% with BMI > 30 kg/m2), cluster 3 (n = 299, 20.4%): late-onset asthma with severe obstructive syndrome (89% without atopy), cluster 4 (n = 143, 9.8%): eosinophilic asthma (51.7% had more than 500 eosinophils/mm3), and cluster 5 (n = 139, 9.5%): aspirin sensitivity asthma (63% had severe asthma attacks). CONCLUSIONS: In our population of adults with severe asthma followed by pulmonologists, five distinct phenotypes were identified and are quite different from those mentioned in previous studies.


Subject(s)
Asthma/diagnosis , Adolescent , Adult , Age of Onset , Asthma/epidemiology , Asthma/physiopathology , Asthma, Aspirin-Induced/diagnosis , Asthma, Aspirin-Induced/epidemiology , Body Mass Index , Child , Cluster Analysis , Comorbidity , Eosinophilia/diagnosis , Eosinophilia/epidemiology , Female , Forced Expiratory Volume , France/epidemiology , Humans , Lung/physiopathology , Male , Middle Aged , Obesity/diagnosis , Obesity/epidemiology , Phenotype , Prospective Studies , Risk Factors , Severity of Illness Index , Young Adult
2.
ERJ Open Res ; 5(4)2019 Oct.
Article in English | MEDLINE | ID: mdl-31687374

ABSTRACT

BACKGROUND: Real-world data describing management of patients with severe asthma are limited. To address this issue, we conducted FASE-CPHG (France Asthme Sevère - Collège des Pneumologues des Hôpitaux Généraux), a descriptive, multicentric, and observational cross-sectional study. METHODS: French pulmonologists from nonacademic hospitals completed questionnaires on patient characteristics and ongoing asthma treatment for severe asthmatic patients observed during the inclusion period. In addition, we collected data from patients via self-assessment questionnaires. FINDINGS: 104 physicians recruited 1502 patients within 1 year. The mean age of the 1465 patients analysed was 54.4±16.1 years. Severe asthmatic patients were more frequently female (63%), with a history of atopy (65%). Most patients remained poorly controlled or uncontrolled, with an important difference between physicians' opinion and the Global Initiative for Asthma criteria (63% versus 96%). The most common comorbidities included ear, nose and throat diseases (59% of cases); anxiety (40%); and gastro-oesophageal reflux disease (39%). Allergic sensitisation tests and/or blood eosinophil count evaluation, and spirometry were performed in 92% and 98% of patients, respectively. The mean eosinophil count and total serum IgE were 437 cells·mm-3 and 546 UI·L-1, respectively. In addition to high doses of inhaled corticosteroids plus long-acting ß2-agonists, patients were receiving leukotriene receptor antagonists (52%), anticholinergic drugs (34%), anti IgE (27%) and oral corticosteroids (17%); 65% adhered to their treatment. INTERPRETATION: This study provides insight into the characteristics and management of severe asthma in France and may help improve knowledge on this pathology, which represents a high burden to healthcare.

SELECTION OF CITATIONS
SEARCH DETAIL
...