Your goal is to extract structured information from the user's input that matches the form described below. When extracting information please make sure it matches the type information exactly. Do not add any attributes that do not appear in the schema shown below.

```TypeScript

 { // Information on the clinical trial characteristics from the abstract
 conditions: string // The condition or disease being treated in the clinical trial
 drug_or_intervention: string // The drug or intervention used in the clinical trial
}
```


Please output the extracted information in JSON format. Do not output anything except for the extracted information. Do not add any clarifying information. Do not add any fields that are not in the schema. If the text contains attributes that do not appear in the schema, please ignore them. All output must be in JSON format and follow the schema specified above. Wrap the JSON in <json> tags.



Input:Clinical characteristics and possible phenotypes of an adult severe asthma population.  Currently, there are no studies of well-characterized severe asthmatics in Brazil. We aimed to study a population of severe treated asthmatics still uncontrolled to characterize them and define possible phenotypes. Descriptive cross-sectional outpatient study of severe asthmatics, evaluating functional and inflammatory markers, health-related quality of life, anxiety and depression symptoms, clinical control status, and characteristics related to atopy, age of asthma onset, induced sputum eosinophil levels, and airflow limitation. We also grouped the subgroups characteristics to identify phenotypes. The study is registered on ClinicalTrial.gov NCT 01089322. From 128 eligible patients with severe/uncontrolled asthma, 74 fulfilled the inclusion criteria. The cohort was comprised of 85% women, frequently with a body mass index higher than 31 kg m(-2), atopy (60%), early-onset disease (50%), sputum eosinophilia (80%), comorbidities, and reduced quality of life. Nonatopics had significant higher asthma onset (19 y.a.) and twice level of induced sputum eosinophil. Late-onset patients had significantly less atopy (57%) and higher levels of induced sputum eosinophils. Non-eosinophilics had lower levels of inflammatory markers. Patients with airflow limitation had more intensive care unit admissions (56%) and 1.5 times more airway resistance. Subgroups characteristics identified a priori four well-characterized phenotypes, with 55% presenting sputum eosinophilia. Our data emphasize the high burden of disease, the persistence of inflammation and the existence of clinical possible phenotypes population sharing common features with published cohorts. Despite the necessity of further investigation into pathogenic mechanisms, this study with clinically difficult patient group may help to improve future asthma care. Output:
{'conditions': 'Asthma', 'interventions': 'Drug: inhaled corticosteroid plus LABA plus oral corticosteroid'}