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

<PatientData>
Demographics: {'race': 'White', 'gender': 'FEMALE', 'year of birth': 1958}
Prior Diagnosis 1: {'condition': 'Chronic sinusitis (disorder)', 'condition status': 'Not Extracted', 'start date': '1958-11-25', 'end date': None}
Prior Diagnosis 2: {'condition': 'Hypertension', 'condition status': 'Not Extracted', 'start date': '1977-06-16', 'end date': None}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2011-03-31', 'end datetime': '2011-03-31'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2012-02-29', 'end datetime': '2012-02-29'}
Measurement 1: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2011-03-31T00:00:00', 'unit': 'cm', 'value': 162.39}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2011-03-31T00:00:00', 'unit': 'kg', 'value': 99.53}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2011-03-31T00:00:00', 'unit': 'kg/m2', 'value': 37.74}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-03-31T00:00:00', 'unit': 'mmHg', 'value': 142.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-03-31T00:00:00', 'unit': 'mmHg', 'value': 115.0}
Measurement 6: {'measurement': 'Estimated Glomerular Filtration Rate', 'measurement type': 'EHR encounter record', 'measurement date': '2011-03-31T00:00:00', 'unit': 'mL/min/{1.73_m2}', 'value': 60.0}
Measurement 7: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-29T00:00:00', 'unit': 'cm', 'value': 162.39}
Measurement 8: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-29T00:00:00', 'unit': 'kg', 'value': 99.53}
Measurement 9: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-29T00:00:00', 'unit': 'kg/m2', 'value': 37.74}
Measurement 10: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-29T00:00:00', 'unit': 'mmHg', 'value': 165.0}
Measurement 11: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-29T00:00:00', 'unit': 'mmHg', 'value': 113.0}
Measurement 12: {'measurement': 'Estimated Glomerular Filtration Rate', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-29T00:00:00', 'unit': 'mL/min/{1.73_m2}', 'value': 60.0}
Procedure 1: {'procedure': 'Documentation of current medications', 'procedure type': 'EHR encounter record', 'procedure start datetime': '2011-03-31', 'procedure end datetime': 'Not Extracted', 'modifier': 'Not Extracted'}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2012-09-23?
A. Acute allergic reaction
B. Non-small cell carcinoma of lung  TNM stage 4 (disorder)
C. Microalbuminuria due to type 2 diabetes mellitus (disorder)
D. Rupture of appendix
E. Otitis media
Please share a single capital letter representing your selected answer: 
Acute allergic reaction Non-small cell carcinoma of lung  TNM stage 4 (disorder) Microalbuminuria due to type 2 diabetes mellitus (disorder) Rupture of appendix Otitis media