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': 1990}
Prior Diagnosis 1: {'condition': 'Sprain of wrist', 'condition status': 'Not Extracted', 'start date': '2011-08-01', 'end date': '2011-09-02'}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2010-08-19', 'end datetime': '2010-08-19'}
Visit 2: {'visit': 'Emergency Room Visit', 'visit type': 'EHR encounter record', 'start datetime': '2011-08-01', 'end datetime': '2011-08-01'}
Medication 1: {'Drug name': 'Astemizole 10 MG Oral Tablet', 'Start datetime': '1991-07-15', 'End datetime': '1991-07-15', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': '0.3 ML EPINEPHrine 0.5 MG/ML Auto-Injector', 'Start datetime': '1991-07-15', 'End datetime': '1991-07-15', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 3: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1992-09-14', 'End datetime': '1992-09-14', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 4: {'Drug name': 'Trinessa 28 Day Pack', 'Start datetime': '2004-07-11', 'End datetime': '2015-07-08', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 5: {'Drug name': 'Acetaminophen 325 MG Oral Tablet', 'Start datetime': '2011-08-01', 'End datetime': '2011-09-02', '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': '2010-08-19T00:00:00', 'unit': 'cm', 'value': 162.47}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2010-08-19T00:00:00', 'unit': 'kg', 'value': 51.88}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2010-08-19T00:00:00', 'unit': 'kg/m2', 'value': 19.65}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2010-08-19T00:00:00', 'unit': 'mmHg', 'value': 136.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2010-08-19T00:00:00', 'unit': 'mmHg', 'value': 82.0}
Procedure 1: {'procedure': 'Documentation of current medications', 'procedure type': 'EHR encounter record', 'procedure start datetime': '2010-08-19', 'procedure end datetime': 'Not Extracted', 'modifier': 'Not Extracted'}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2012-09-11?
A. First degree burn
B. Bullet wound
C. Blighted ovum
D. Laceration of hand
E. Non-small cell carcinoma of lung  TNM stage 1 (disorder)
Please share a single capital letter representing your selected answer: 
First degree burn Bullet wound Blighted ovum Laceration of hand Non-small cell carcinoma of lung  TNM stage 1 (disorder)