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': 1982}
Prior Diagnosis 1: {'condition': 'Escherichia coli urinary tract infection', 'condition status': 'Not Extracted', 'start date': '2014-02-07', 'end date': '2014-02-14'}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2013-01-15', 'end datetime': '2013-01-15'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2014-02-07', 'end datetime': '2014-02-07'}
Medication 1: {'Drug name': 'NuvaRing 0.12/0.015 MG per 24HR 21 Day Vaginal Ring', 'Start datetime': '2008-07-22', 'End datetime': '2008-07-22', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': 'Nitrofurantoin 5 MG/ML [Furadantin]', 'Start datetime': '2014-02-07', 'End datetime': '2014-02-14', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 3: {'Drug name': 'Phenazopyridine hydrochloride 100 MG [Pyridium]', 'Start datetime': '2014-02-07', 'End datetime': '2014-02-14', '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': '2013-01-15T00:00:00', 'unit': 'cm', 'value': 163.25}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2013-01-15T00:00:00', 'unit': 'kg', 'value': 68.51}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2013-01-15T00:00:00', 'unit': 'kg/m2', 'value': 25.71}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2013-01-15T00:00:00', 'unit': 'mmHg', 'value': 131.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2013-01-15T00:00:00', 'unit': 'mmHg', 'value': 70.0}
Measurement 6: {'measurement': 'Total Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2013-01-15T00:00:00', 'unit': 'mg/dL', 'value': 197.0}
Measurement 7: {'measurement': 'Triglycerides', 'measurement type': 'EHR encounter record', 'measurement date': '2013-01-15T00:00:00', 'unit': 'mg/dL', 'value': 150.0}
Measurement 8: {'measurement': 'Low Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2013-01-15T00:00:00', 'unit': 'mg/dL', 'value': 89.0}
Measurement 9: {'measurement': 'High Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2013-01-15T00:00:00', 'unit': 'mg/dL', 'value': 78.0}
Procedure 1: {'procedure': 'Documentation of current medications', 'procedure type': 'EHR encounter record', 'procedure start datetime': '2013-01-15', 'procedure end datetime': 'Not Extracted', 'modifier': 'Not Extracted'}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2014-12-09?
A. Laceration of thigh
B. Small cell carcinoma of lung (disorder)
C. Normal pregnancy
D. Stroke
E. Viral sinusitis (disorder)
Please share a single capital letter representing your selected answer: 
Laceration of thigh Small cell carcinoma of lung (disorder) Normal pregnancy Stroke Viral sinusitis (disorder)