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': 1972}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2013-01-16', 'end datetime': '2013-01-16'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2015-04-17', 'end datetime': '2015-04-17'}
Medication 1: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1977-03-22', 'End datetime': '1977-03-22', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1985-08-08', 'End datetime': '1985-08-08', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 3: {'Drug name': 'Errin 28 Day Pack', 'Start datetime': '2007-04-24', 'End datetime': '2007-04-24', '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': '2013-01-16T00:00:00', 'unit': 'cm', 'value': 175.46}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2013-01-16T00:00:00', 'unit': 'kg', 'value': 89.25}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2013-01-16T00:00:00', 'unit': 'kg/m2', 'value': 28.99}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2013-01-16T00:00:00', 'unit': 'mmHg', 'value': 120.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2013-01-16T00:00:00', 'unit': 'mmHg', 'value': 80.0}
Measurement 6: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2015-04-17T00:00:00', 'unit': 'cm', 'value': 175.46}
Measurement 7: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2015-04-17T00:00:00', 'unit': 'kg', 'value': 91.65}
Measurement 8: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2015-04-17T00:00:00', 'unit': 'kg/m2', 'value': 29.77}
Measurement 9: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2015-04-17T00:00:00', 'unit': 'mmHg', 'value': 134.0}
Measurement 10: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2015-04-17T00:00:00', 'unit': 'mmHg', 'value': 87.0}
Measurement 11: {'measurement': 'Total Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2015-04-17T00:00:00', 'unit': 'mg/dL', 'value': 180.0}
Measurement 12: {'measurement': 'Triglycerides', 'measurement type': 'EHR encounter record', 'measurement date': '2015-04-17T00:00:00', 'unit': 'mg/dL', 'value': 123.0}
Measurement 13: {'measurement': 'Low Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2015-04-17T00:00:00', 'unit': 'mg/dL', 'value': 94.0}
Measurement 14: {'measurement': 'High Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2015-04-17T00:00:00', 'unit': 'mg/dL', 'value': 61.0}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2017-04-04?
A. Prediabetes
B. Normal pregnancy
C. Proteinuria due to type 2 diabetes mellitus (disorder)
D. Injury of anterior cruciate ligament
E. Fracture subluxation of wrist
Please share a single capital letter representing your selected answer: 
Prediabetes Normal pregnancy Proteinuria due to type 2 diabetes mellitus (disorder) Injury of anterior cruciate ligament Fracture subluxation of wrist