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:Predicting short term response to anti-inflammatory therapy in young children with asthma.  Currently available anti-inflammatory treatment for young children with asthma includes inhaled corticosteroids (ICS) and the leukotriene receptor antagonist (LTRA) montelukast. To evaluate potential biomarkers of predicting short-term (6-week) response to ICS and LTRAs in children with asthma. A total of 102 children aged 4 to 7 years with episodic asthma were enrolled in an open labelled single-centre study. Biomarkers and asthma characteristics were evaluated as predictors of treatment. Of 102 patients 45 became symptomatic during observation and were randomised to treatment either to montelukast or fluticasone for 6 weeks. Forced Expiratory Volume in one second (FEV1) increased with both treatments: FEV1 at randomisation was 90.2% and after therapy 106.8% with fluticasone vs. 90.8% and 103.7% for montelukast, respectively, showing that montelukast and fluticasone were equally effective in this age group (p = 0.44). Strong correlations to a favourable treatment response were pre-bronchodilatory FEV1 (p < 0.001) and airway reversibility (p = 0.04) at time of randomisation. None of the other biomarkers (methacholine testing, exhaled nitric oxide [eNO], presence of allergy, total Immunoglobulin E [IgE], cumulative specific IgE, eosinophils and parental smoking) were predictive. Despite the small sample size and the open-label design, the study suggests that the use of pre-bronchodilatory FEV1 and airway reversibility appears to be a good indicator of short-term anti-inflammatory therapy in young children with asthma. Output:
{'conditions': 'Asthma', 'interventions': 'Drug: Montelukast|Drug: Fluticasone'}