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': 1960}
Prior Diagnosis 1: {'condition': 'Osteoarthritis of knee', 'condition status': 'Not Extracted', 'start date': '1987-08-25', 'end date': None}
Medication 1: {'Drug name': 'Naproxen sodium 220 MG [Aleve]', 'Start datetime': '1987-08-25', 'End datetime': '1987-08-25', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': 'Penicillin V Potassium 500 MG', 'Start datetime': '1988-03-03', 'End datetime': '1988-03-03', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
</PatientData>
Based on the trajectory above, which diagnosis is the patient **most likely** to receive by 2011-09-02?
A. Second degree burn
B. Concussion with loss of consciousness
C. Microalbuminuria due to type 2 diabetes mellitus (disorder)
D. Prediabetes
E. Impacted molars
Please share a single capital letter representing your selected answer: 
Second degree burn Concussion with loss of consciousness Microalbuminuria due to type 2 diabetes mellitus (disorder) Prediabetes Impacted molars