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': 1949}
Medication 1: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1951-05-08', 'End datetime': '1951-05-08', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1963-06-20', 'End datetime': '1963-06-20', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 3: {'Drug name': 'Penicillin V Potassium 500 MG', 'Start datetime': '1975-12-18', 'End datetime': '1975-12-18', '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 1983-08-23?
A. Drug overdose
B. Gout
C. Pyelonephritis
D. Prediabetes
E. Non-small cell lung cancer (disorder)
Please share a single capital letter representing your selected answer: 
Drug overdose Gout Pyelonephritis Prediabetes Non-small cell lung cancer (disorder)