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': 1984}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2011-08-26', 'end datetime': '2011-08-26'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2014-04-27', 'end datetime': '2014-04-27'}
Medication 1: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1996-09-29', 'End datetime': '1996-09-29', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': 'Hydrocortisone 10 MG/ML Topical Cream', 'Start datetime': '2005-01-19', 'End datetime': '2005-01-19', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 3: {'Drug name': 'Loratadine 10 MG Oral Tablet', 'Start datetime': '2005-02-05', 'End datetime': '2005-02-05', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 4: {'Drug name': '0.3 ML EPINEPHrine 0.5 MG/ML Auto-Injector', 'Start datetime': '2005-02-05', 'End datetime': '2005-02-05', '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': '2011-08-26T00:00:00', 'unit': 'cm', 'value': 177.2}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2011-08-26T00:00:00', 'unit': 'kg', 'value': 84.94}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2011-08-26T00:00:00', 'unit': 'kg/m2', 'value': 27.05}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-08-26T00:00:00', 'unit': 'mmHg', 'value': 118.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-08-26T00:00:00', 'unit': 'mmHg', 'value': 70.0}
Measurement 6: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2014-04-27T00:00:00', 'unit': 'cm', 'value': 177.2}
Measurement 7: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2014-04-27T00:00:00', 'unit': 'kg', 'value': 87.7}
Measurement 8: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2014-04-27T00:00:00', 'unit': 'kg/m2', 'value': 27.93}
Measurement 9: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2014-04-27T00:00:00', 'unit': 'mmHg', 'value': 127.0}
Measurement 10: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2014-04-27T00:00:00', 'unit': 'mmHg', 'value': 75.0}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2015-09-03?
A. Complication occuring during pregnancy
B. Gout
C. Secondary malignant neoplasm of colon
D. Congenital uterine anomaly
E. Tear of meniscus of knee
Please share a single capital letter representing your selected answer: 
Complication occuring during pregnancy Gout Secondary malignant neoplasm of colon Congenital uterine anomaly Tear of meniscus of knee