Here is the design of a clinical trial:

Official Title: Incidence of Acute Laryngeal Injury Following Endotracheal Intubation

Included conditions:
- Intubation Complication

Study Armgroups:
- {'label': 'Medical Therapy', 'type': 'EXPERIMENTAL', 'description': 'medical therapy group consisting of azithromycin 250 mg and budesonide 0.5 mg for 14 days', 'interventionNames': ['Drug: Budesonide and Azithromycin']}
- {'label': 'Placebo Control', 'type': 'PLACEBO_COMPARATOR', 'description': 'Placebo control medication for 14 days', 'interventionNames': ['Other: Placebo control of budesonide and azithromycin']}

Interventions:
- {'type': 'DRUG', 'name': 'Budesonide and Azithromycin', 'description': 'Participant with acute laryngeal injury will be randomized at discharge to either a non-drug placebo control group or a medical therapy group consisting of azithromycin 250 mg and budesonide 0.5 mg for 14 days.', 'armGroupLabels': ['Medical Therapy']}
- {'type': 'OTHER', 'name': 'Placebo control of budesonide and azithromycin', 'description': 'placebos of the medications will be given for 14 days in patients randomized to the control group', 'armGroupLabels': ['Placebo Control']}

Primary Outcomes:
- {'measure': 'Acute Laryngeal Injury', 'description': 'Endoscopic examination with evidence of laryngeal injury', 'timeFrame': 'Within 72 hours of extubation'}
- {'measure': 'Chronic Obstructive Pulmonary Disease Dyspnea Questionnaire (CCQ)', 'description': '12 week patient-reported dyspnea via CCQ. Total score is recorded, with a range of 0-60 with higher values representing worse outcomes.', 'timeFrame': '12 week follow up'}

Please estimate the sample size based on the assumption: 
The significance level is 0.05, the power is 0.8, and the anticipated dropout rate is 25%.
Sample size
        We are planning a study of a continuous response variable from independent control and experimental subjects. To calculate sample size, we have used CCQ data in a previous study, in which the response within each subject group was normally distributed with SD ofÂ 11.25. If the true difference in the experimental and control means is 9.15, we will need to study 24 experimental subjects and 24 control subjects to be able to reject the null hypothesis that the population means of the experimental and control groups are equal with probability (power) 0.8 (total n=48). The type I error probability associated with this test of this null hypothesis is 0.05. Anticipating 25% dropout rate, we will recruit 64 participants.