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': 2004}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2010-11-26', 'end datetime': '2010-11-26'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2011-11-15', 'end datetime': '2011-11-15'}
Visit 3: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2011-12-05', 'end datetime': '2011-12-05'}
Medication 1: {'Drug name': 'Loratadine 5 MG Chewable Tablet', 'Start datetime': '2005-08-03', 'End datetime': '2005-08-03', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': '0.3 ML EPINEPHrine 0.5 MG/ML Auto-Injector', 'Start datetime': '2005-08-03', 'End datetime': '2005-08-03', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Measurement 1: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2010-11-26T00:00:00', 'unit': 'cm', 'value': 116.69}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2010-11-26T00:00:00', 'unit': 'kg', 'value': 21.52}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2010-11-26T00:00:00', 'unit': 'kg/m2', 'value': 15.81}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2010-11-26T00:00:00', 'unit': 'mmHg', 'value': 132.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2010-11-26T00:00:00', 'unit': 'mmHg', 'value': 73.0}
Measurement 6: {'measurement': 'Oral temperature', 'measurement type': 'EHR encounter record', 'measurement date': '2011-11-15T00:00:00', 'unit': 'Cel', 'value': 38.0}
Measurement 7: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2011-12-05T00:00:00', 'unit': 'cm', 'value': 123.65}
Measurement 8: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2011-12-05T00:00:00', 'unit': 'kg', 'value': 24.32}
Measurement 9: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2011-12-05T00:00:00', 'unit': 'kg/m2', 'value': 15.9}
Measurement 10: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-12-05T00:00:00', 'unit': 'mmHg', 'value': 127.0}
Measurement 11: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-12-05T00:00:00', 'unit': 'mmHg', 'value': 79.0}
Procedure 1: {'procedure': 'Throat culture (procedure) ', 'procedure type': 'EHR encounter record', 'procedure start datetime': '2011-11-15', 'procedure end datetime': 'Not Extracted', 'modifier': 'Not Extracted'}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2012-10-27?
A. Proteinuria due to type 2 diabetes mellitus (disorder)
B. Acute viral pharyngitis (disorder)
C. Fracture subluxation of wrist
D. Osteoporosis (disorder)
E. Microalbuminuria due to type 2 diabetes mellitus (disorder)
Please share a single capital letter representing your selected answer: 
Proteinuria due to type 2 diabetes mellitus (disorder) Acute viral pharyngitis (disorder) Fracture subluxation of wrist Osteoporosis (disorder) Microalbuminuria due to type 2 diabetes mellitus (disorder)