You are an assistant tasked with analyzing medical histories to provide a second opinion on possible future diagnoses.

<PatientData>
Demographics: {'race': 'Black or African American', 'gender': 'FEMALE', 'year of birth': 1989}
Medication 1: {'Drug name': '120 ACTUAT Fluticasone propionate 0.044 MG/ACTUAT Metered Dose Inhaler', 'Start datetime': '1991-08-04', 'End datetime': '1991-08-04', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': '200 ACTUAT Albuterol 0.09 MG/ACTUAT Metered Dose Inhaler', 'Start datetime': '1991-08-04', 'End datetime': '1991-08-04', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 3: {'Drug name': 'Trinessa 28 Day Pack', 'Start datetime': '2003-04-11', 'End datetime': '2010-09-28', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2009-04-14?
A. Perennial allergic rhinitis
B. Asthma
C. Cardiac Arrest
D. Injury of medial collateral ligament of knee
E. Acute bacterial sinusitis (disorder)
Please share a single capital letter representing your selected answer: 
Perennial allergic rhinitis Asthma Cardiac Arrest Injury of medial collateral ligament of knee Acute bacterial sinusitis (disorder)