You are an assistant tasked with analyzing medical histories to provide a second opinion on possible future diagnoses.

<PatientData>
Demographics: {'race': 'Asian', 'gender': 'FEMALE', 'year of birth': 1977}
Prior Diagnosis 1: {'condition': 'Viral sinusitis (disorder)', 'condition status': 'Not Extracted', 'start date': '2014-02-21', 'end date': '2014-03-16'}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2012-12-23', 'end datetime': '2012-12-23'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2014-02-26', 'end datetime': '2014-02-26'}
Medication 1: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1981-04-07', 'End datetime': '1981-04-07', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': 'Xulane 150/35 MCG/Day Weekly Transdermal System', 'Start datetime': '2003-01-20', 'End datetime': '2012-02-20', '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': '2012-12-23T00:00:00', 'unit': 'cm', 'value': 158.29}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'kg', 'value': 106.34}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'kg/m2', 'value': 42.44}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'mmHg', 'value': 103.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'mmHg', 'value': 87.0}
Measurement 6: {'measurement': 'Total Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'mg/dL', 'value': 175.0}
Measurement 7: {'measurement': 'Triglycerides', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'mg/dL', 'value': 145.0}
Measurement 8: {'measurement': 'Low Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'mg/dL', 'value': 67.0}
Measurement 9: {'measurement': 'High Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'mg/dL', 'value': 79.0}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2015-02-13?
A. End stage renal disease (disorder)
B. Recurrent urinary tract infection
C. Appendicitis
D. Acute viral pharyngitis (disorder)
E. Contact dermatitis
Please share a single capital letter representing your selected answer: 
End stage renal disease (disorder) Recurrent urinary tract infection Appendicitis Acute viral pharyngitis (disorder) Contact dermatitis