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': 2004}
Prior Diagnosis 1: {'condition': 'Viral sinusitis (disorder)', 'condition status': 'Not Extracted', 'start date': '2010-10-03', 'end date': '2010-11-01'}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2010-10-08', 'end datetime': '2010-10-08'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2011-01-27', 'end datetime': '2011-01-27'}
Visit 3: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2011-12-01', 'end datetime': '2011-12-01'}
Medication 1: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '2007-01-14', 'End datetime': '2007-01-14', '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': '2011-01-27T00:00:00', 'unit': 'cm', 'value': 118.9}
Measurement 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2011-01-27T00:00:00', 'unit': 'kg', 'value': 20.8}
Measurement 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2011-01-27T00:00:00', 'unit': 'kg/m2', 'value': 14.72}
Measurement 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-01-27T00:00:00', 'unit': 'mmHg', 'value': 124.0}
Measurement 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-01-27T00:00:00', 'unit': 'mmHg', 'value': 79.0}
Measurement 6: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2011-12-01T00:00:00', 'unit': 'cm', 'value': 124.28}
Measurement 7: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2011-12-01T00:00:00', 'unit': 'kg', 'value': 22.73}
Measurement 8: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2011-12-01T00:00:00', 'unit': 'kg/m2', 'value': 14.72}
Measurement 9: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-12-01T00:00:00', 'unit': 'mmHg', 'value': 129.0}
Measurement 10: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2011-12-01T00:00:00', 'unit': 'mmHg', 'value': 78.0}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2012-05-07?
A. Child attention deficit disorder
B. Primary malignant neoplasm of colon
C. Rupture of appendix
D. Chronic paralysis due to lesion of spinal cord
E. Microalbuminuria due to type 2 diabetes mellitus (disorder)
Please share a single capital letter representing your selected answer: 
Child attention deficit disorder Primary malignant neoplasm of colon Rupture of appendix Chronic paralysis due to lesion of spinal cord Microalbuminuria due to type 2 diabetes mellitus (disorder)