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

<PatientData>
Demographics: {'race': 'Black or African American', 'gender': 'FEMALE', 'year of birth': 1968}
Prior Diagnosis 1: {'condition': 'Hypertension', 'condition status': 'Not Extracted', 'start date': '1986-11-11', 'end date': None}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2012-02-01', 'end datetime': '2012-02-01'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2013-06-03', 'end datetime': '2013-06-03'}
Visit 3: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2014-01-26', 'end datetime': '2014-01-26'}
Medication 1: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1969-06-24', 'End datetime': '1969-06-24', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1972-05-20', 'End datetime': '1972-05-20', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 3: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1975-01-06', 'End datetime': '1975-01-06', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 4: {'Drug name': 'Camila 28 Day Pack', 'Start datetime': '2003-05-19', 'End datetime': '2003-05-19', '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': '2012-02-01T00:00:00', 'unit': 'cm', 'value': 175.46}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-01T00:00:00', 'unit': 'kg', 'value': 80.89}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-01T00:00:00', 'unit': 'kg/m2', 'value': 26.27}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-01T00:00:00', 'unit': 'mmHg', 'value': 178.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-01T00:00:00', 'unit': 'mmHg', 'value': 99.0}
Measurement 6: {'measurement': 'Total Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-01T00:00:00', 'unit': 'mg/dL', 'value': 182.0}
Measurement 7: {'measurement': 'Triglycerides', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-01T00:00:00', 'unit': 'mg/dL', 'value': 141.0}
Measurement 8: {'measurement': 'Low Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-01T00:00:00', 'unit': 'mg/dL', 'value': 74.0}
Measurement 9: {'measurement': 'High Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-01T00:00:00', 'unit': 'mg/dL', 'value': 79.0}
Measurement 10: {'measurement': 'Estimated Glomerular Filtration Rate', 'measurement type': 'EHR encounter record', 'measurement date': '2012-02-01T00:00:00', 'unit': 'mL/min/{1.73_m2}', 'value': 60.0}
Measurement 11: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2014-01-26T00:00:00', 'unit': 'cm', 'value': 175.46}
Measurement 12: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2014-01-26T00:00:00', 'unit': 'kg', 'value': 83.73}
Measurement 13: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2014-01-26T00:00:00', 'unit': 'kg/m2', 'value': 27.19}
Measurement 14: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2014-01-26T00:00:00', 'unit': 'mmHg', 'value': 153.0}
Measurement 15: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2014-01-26T00:00:00', 'unit': 'mmHg', 'value': 90.0}
Measurement 16: {'measurement': 'Estimated Glomerular Filtration Rate', 'measurement type': 'EHR encounter record', 'measurement date': '2014-01-26T00:00:00', 'unit': 'mL/min/{1.73_m2}', 'value': 60.0}
Procedure 1: {'procedure': 'Documentation of current medications', 'procedure type': 'EHR encounter record', 'procedure start datetime': '2012-02-01', 'procedure end datetime': 'Not Extracted', 'modifier': 'Not Extracted'}
Procedure 2: {'procedure': 'Replacement of subcutaneous contraceptive', 'procedure type': 'EHR encounter record', 'procedure start datetime': '2013-06-03', 'procedure end datetime': 'Not Extracted', 'modifier': 'Not Extracted'}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2015-07-12?
A. Child attention deficit disorder
B. Pneumonia
C. Non-small cell carcinoma of lung  TNM stage 4 (disorder)
D. Escherichia coli urinary tract infection
E. Fracture of the vertebral column with spinal cord injury
Please share a single capital letter representing your selected answer: 
Child attention deficit disorder Pneumonia Non-small cell carcinoma of lung  TNM stage 4 (disorder) Escherichia coli urinary tract infection Fracture of the vertebral column with spinal cord injury