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': 1994}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2011-04-28', 'end datetime': '2011-04-28'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2012-03-16', 'end datetime': '2012-03-16'}
Medication 1: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '2004-12-09', 'End datetime': '2004-12-09', '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': '2011-04-28T00:00:00', 'unit': 'cm', 'value': 172.32}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2011-04-28T00:00:00', 'unit': 'kg', 'value': 91.1}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2011-04-28T00:00:00', 'unit': 'kg/m2', 'value': 30.68}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-04-28T00:00:00', 'unit': 'mmHg', 'value': 109.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-04-28T00:00:00', 'unit': 'mmHg', 'value': 85.0}
Measurement 6: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2012-03-16T00:00:00', 'unit': 'cm', 'value': 173.58}
Measurement 7: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2012-03-16T00:00:00', 'unit': 'kg', 'value': 95.11}
Measurement 8: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2012-03-16T00:00:00', 'unit': 'kg/m2', 'value': 31.57}
Measurement 9: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-03-16T00:00:00', 'unit': 'mmHg', 'value': 108.0}
Measurement 10: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-03-16T00:00:00', 'unit': 'mmHg', 'value': 81.0}
Procedure 1: {'procedure': 'Documentation of current medications', 'procedure type': 'EHR encounter record', 'procedure start datetime': '2011-04-28', 'procedure end datetime': 'Not Extracted', 'modifier': 'Not Extracted'}
Procedure 2: {'procedure': 'Documentation of current medications', 'procedure type': 'EHR encounter record', 'procedure start datetime': '2012-03-16', 'procedure end datetime': 'Not Extracted', 'modifier': 'Not Extracted'}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2012-04-08?
A. Pyelonephritis
B. Sprain of wrist
C. Prediabetes
D. Laceration of foot
E. Contact dermatitis
Please share a single capital letter representing your selected answer: 
Pyelonephritis Sprain of wrist Prediabetes Laceration of foot Contact dermatitis