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

<PatientData>
Demographics: {'race': 'White', 'gender': 'MALE', 'year of birth': 1977}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2010-10-16', 'end datetime': '2010-10-16'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2013-06-24', 'end datetime': '2013-06-24'}
Measurement 1: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2010-10-16T00:00:00', 'unit': 'cm', 'value': 171.5}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2010-10-16T00:00:00', 'unit': 'kg', 'value': 89.43}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2010-10-16T00:00:00', 'unit': 'kg/m2', 'value': 30.41}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2010-10-16T00:00:00', 'unit': 'mmHg', 'value': 116.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2010-10-16T00:00:00', 'unit': 'mmHg', 'value': 86.0}
Measurement 6: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2013-06-24T00:00:00', 'unit': 'cm', 'value': 171.5}
Measurement 7: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2013-06-24T00:00:00', 'unit': 'kg', 'value': 93.51}
Measurement 8: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2013-06-24T00:00:00', 'unit': 'kg/m2', 'value': 31.79}
Measurement 9: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2013-06-24T00:00:00', 'unit': 'mmHg', 'value': 113.0}
Measurement 10: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2013-06-24T00:00:00', 'unit': 'mmHg', 'value': 81.0}
Measurement 11: {'measurement': 'Total Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2013-06-24T00:00:00', 'unit': 'mg/dL', 'value': 177.0}
Measurement 12: {'measurement': 'Triglycerides', 'measurement type': 'EHR encounter record', 'measurement date': '2013-06-24T00:00:00', 'unit': 'mg/dL', 'value': 125.0}
Measurement 13: {'measurement': 'Low Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2013-06-24T00:00:00', 'unit': 'mg/dL', 'value': 90.0}
Measurement 14: {'measurement': 'High Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2013-06-24T00:00:00', 'unit': 'mg/dL', 'value': 62.0}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2015-04-12?
A. Perennial allergic rhinitis
B. Chronic pain
C. Normal pregnancy
D. Concussion injury of brain
E. Viral sinusitis (disorder)
Please share a single capital letter representing your selected answer: 
Perennial allergic rhinitis Chronic pain Normal pregnancy Concussion injury of brain Viral sinusitis (disorder)