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': 1986}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2011-01-31', 'end datetime': '2011-01-31'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2012-05-02', 'end datetime': '2012-05-02'}
Visit 3: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2015-02-23', 'end datetime': '2015-02-23'}
Medication 1: {'Drug name': 'Estrostep Fe 28 Day Pack', 'Start datetime': '2002-08-12', 'End datetime': '2011-01-31', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': 'Camila 28 Day Pack', 'Start datetime': '2011-01-31', 'End datetime': '2011-01-31', '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': '2012-05-02T00:00:00', 'unit': 'cm', 'value': 151.11}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2012-05-02T00:00:00', 'unit': 'kg', 'value': 75.39}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2012-05-02T00:00:00', 'unit': 'kg/m2', 'value': 33.02}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-05-02T00:00:00', 'unit': 'mmHg', 'value': 107.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-05-02T00:00:00', 'unit': 'mmHg', 'value': 78.0}
Measurement 6: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2015-02-23T00:00:00', 'unit': 'cm', 'value': 151.11}
Measurement 7: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2015-02-23T00:00:00', 'unit': 'kg', 'value': 79.98}
Measurement 8: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2015-02-23T00:00:00', 'unit': 'kg/m2', 'value': 35.03}
Measurement 9: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2015-02-23T00:00:00', 'unit': 'mmHg', 'value': 103.0}
Measurement 10: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2015-02-23T00:00:00', 'unit': 'mmHg', 'value': 73.0}
Procedure 1: {'procedure': 'Documentation of current medications', 'procedure type': 'EHR encounter record', 'procedure start datetime': '2012-05-02', 'procedure end datetime': 'Not Extracted', 'modifier': 'Not Extracted'}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2017-04-05?
A. Fracture of ankle
B. Primary fibromyalgia syndrome
C. Concussion with no loss of consciousness
D. Fracture of rib
E. History of amputation of foot (situation)
Please share a single capital letter representing your selected answer: 
Fracture of ankle Primary fibromyalgia syndrome Concussion with no loss of consciousness Fracture of rib History of amputation of foot (situation)