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': 1975}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2011-03-30', 'end datetime': '2011-03-30'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2013-12-10', 'end datetime': '2013-12-10'}
Measurement 1: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2011-03-30T00:00:00', 'unit': 'cm', 'value': 171.48}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2011-03-30T00:00:00', 'unit': 'kg', 'value': 74.55}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2011-03-30T00:00:00', 'unit': 'kg/m2', 'value': 25.35}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-03-30T00:00:00', 'unit': 'mmHg', 'value': 125.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-03-30T00:00:00', 'unit': 'mmHg', 'value': 76.0}
Measurement 6: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2013-12-10T00:00:00', 'unit': 'cm', 'value': 171.48}
Measurement 7: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2013-12-10T00:00:00', 'unit': 'kg', 'value': 77.96}
Measurement 8: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2013-12-10T00:00:00', 'unit': 'kg/m2', 'value': 26.51}
Measurement 9: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2013-12-10T00:00:00', 'unit': 'mmHg', 'value': 133.0}
Measurement 10: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2013-12-10T00:00:00', 'unit': 'mmHg', 'value': 82.0}
Measurement 11: {'measurement': 'Total Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2013-12-10T00:00:00', 'unit': 'mg/dL', 'value': 163.0}
Measurement 12: {'measurement': 'Triglycerides', 'measurement type': 'EHR encounter record', 'measurement date': '2013-12-10T00:00:00', 'unit': 'mg/dL', 'value': 100.0}
Measurement 13: {'measurement': 'Low Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2013-12-10T00:00:00', 'unit': 'mg/dL', 'value': 80.0}
Measurement 14: {'measurement': 'High Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2013-12-10T00:00:00', 'unit': 'mg/dL', 'value': 63.0}
Procedure 1: {'procedure': 'Documentation of current medications', 'procedure type': 'EHR encounter record', 'procedure start datetime': '2011-03-30', 'procedure end datetime': 'Not Extracted', 'modifier': 'Not Extracted'}
Procedure 2: {'procedure': 'Documentation of current medications', 'procedure type': 'EHR encounter record', 'procedure start datetime': '2013-12-10', 'procedure end datetime': 'Not Extracted', 'modifier': 'Not Extracted'}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2016-10-31?
A. Neuropathy due to type 2 diabetes mellitus (disorder)
B. Perennial allergic rhinitis with seasonal variation
C. Pulmonary emphysema (disorder)
D. Brain damage - traumatic
E. Primary small cell malignant neoplasm of lung  TNM stage 3 (disorder)
Please share a single capital letter representing your selected answer: 
Neuropathy due to type 2 diabetes mellitus (disorder) Perennial allergic rhinitis with seasonal variation Pulmonary emphysema (disorder) Brain damage - traumatic Primary small cell malignant neoplasm of lung  TNM stage 3 (disorder)