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': 1973}
Prior Diagnosis 1: {'condition': 'Chronic pain', 'condition status': 'Not Extracted', 'start date': '2006-08-04', 'end date': None}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2012-01-01', 'end datetime': '2012-01-01'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2014-09-01', 'end datetime': '2014-09-01'}
Visit 3: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2016-04-05', 'end datetime': '2016-04-05'}
Measurement 1: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2012-01-01T00:00:00', 'unit': 'cm', 'value': 179.9}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2012-01-01T00:00:00', 'unit': 'kg', 'value': 94.29}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2012-01-01T00:00:00', 'unit': 'kg/m2', 'value': 29.13}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-01-01T00:00:00', 'unit': 'mmHg', 'value': 102.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-01-01T00:00:00', 'unit': 'mmHg', 'value': 77.0}
Measurement 6: {'measurement': 'Total Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2012-01-01T00:00:00', 'unit': 'mg/dL', 'value': 172.0}
Measurement 7: {'measurement': 'Triglycerides', 'measurement type': 'EHR encounter record', 'measurement date': '2012-01-01T00:00:00', 'unit': 'mg/dL', 'value': 147.0}
Measurement 8: {'measurement': 'Low Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2012-01-01T00:00:00', 'unit': 'mg/dL', 'value': 64.0}
Measurement 9: {'measurement': 'High Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2012-01-01T00:00:00', 'unit': 'mg/dL', 'value': 78.0}
Measurement 10: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2014-09-01T00:00:00', 'unit': 'cm', 'value': 179.9}
Measurement 11: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2014-09-01T00:00:00', 'unit': 'kg', 'value': 97.25}
Measurement 12: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2014-09-01T00:00:00', 'unit': 'kg/m2', 'value': 30.05}
Measurement 13: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2014-09-01T00:00:00', 'unit': 'mmHg', 'value': 102.0}
Measurement 14: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2014-09-01T00:00:00', 'unit': 'mmHg', 'value': 84.0}
Measurement 15: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2016-04-05T00:00:00', 'unit': 'cm', 'value': 179.9}
Measurement 16: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2016-04-05T00:00:00', 'unit': 'kg', 'value': 99.89}
Measurement 17: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2016-04-05T00:00:00', 'unit': 'kg/m2', 'value': 30.86}
Measurement 18: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2016-04-05T00:00:00', 'unit': 'mmHg', 'value': 124.0}
Measurement 19: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2016-04-05T00:00:00', 'unit': 'mmHg', 'value': 79.0}
Measurement 20: {'measurement': 'Total Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2016-04-05T00:00:00', 'unit': 'mg/dL', 'value': 171.0}
Measurement 21: {'measurement': 'Triglycerides', 'measurement type': 'EHR encounter record', 'measurement date': '2016-04-05T00:00:00', 'unit': 'mg/dL', 'value': 144.0}
Measurement 22: {'measurement': 'Low Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2016-04-05T00:00:00', 'unit': 'mg/dL', 'value': 77.0}
Measurement 23: {'measurement': 'High Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2016-04-05T00:00:00', 'unit': 'mg/dL', 'value': 65.0}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2016-05-04?
A. Acute viral pharyngitis (disorder)
B. Non-small cell carcinoma of lung  TNM stage 3 (disorder)
C. History of lower limb amputation (situation)
D. Malignant tumor of colon
E. Recurrent urinary tract infection
Please share a single capital letter representing your selected answer: 
Acute viral pharyngitis (disorder) Non-small cell carcinoma of lung  TNM stage 3 (disorder) History of lower limb amputation (situation) Malignant tumor of colon Recurrent urinary tract infection