You are an assistant tasked with analyzing measurement histories to predict the patient's next laboratory or vital sign value.
<PatientData>
Demographics: {'race': 'Asian', 'gender': 'FEMALE', 'year of birth': 1977}
Prior Diagnosis 1: {'condition': 'Viral sinusitis (disorder)', 'condition status': 'Not Extracted', 'start date': '2014-02-21', 'end date': '2014-03-16'}
Prior Diagnosis 2: {'condition': 'Acute viral pharyngitis (disorder)', 'condition status': 'Not Extracted', 'start date': '2015-02-13', 'end date': '2015-02-25'}
Last High Density Lipoprotein Cholesterol measurement on 2012-12-23 00:00:00: {'measurement': 'High Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'mg/dL', 'value': 79.0}
Prior measurements of the same type 1: {'measurement': 'High Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'mg/dL', 'value': 79.0}
Prior measurements of different types 1: {'measurement': 'Body Height', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'cm', 'value': 158.29}
Prior measurements of different types 2: {'measurement': 'Body Weight', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'kg', 'value': 106.34}
Prior measurements of different types 3: {'measurement': 'Body Mass Index', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'kg/m2', 'value': 42.44}
Prior measurements of different types 4: {'measurement': 'Systolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'mmHg', 'value': 103.0}
Prior measurements of different types 5: {'measurement': 'Diastolic Blood Pressure', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'mmHg', 'value': 87.0}
Prior measurements of different types 6: {'measurement': 'Total Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'mg/dL', 'value': 175.0}
Prior measurements of different types 7: {'measurement': 'Triglycerides', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'mg/dL', 'value': 145.0}
Prior measurements of different types 8: {'measurement': 'Low Density Lipoprotein Cholesterol', 'measurement type': 'EHR encounter record', 'measurement date': '2012-12-23T00:00:00', 'unit': 'mg/dL', 'value': 67.0}
Prior measurements of different types 9: {'measurement': 'Oral temperature', 'measurement type': 'EHR encounter record', 'measurement date': '2015-02-18T00:00:00', 'unit': 'Cel', 'value': 38.0}
Visit 1: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2012-12-23', 'end datetime': '2012-12-23'}
Visit 2: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2014-02-26', 'end datetime': '2014-02-26'}
Visit 3: {'visit': 'Outpatient Visit', 'visit type': 'EHR encounter record', 'start datetime': '2015-02-18', 'end datetime': '2015-02-18'}
Medication 1: {'Drug name': 'Penicillin V Potassium 250 MG', 'Start datetime': '1981-04-07', 'End datetime': '1981-04-07', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Medication 2: {'Drug name': 'Xulane 150/35 MCG/Day Weekly Transdermal System', 'Start datetime': '2003-01-20', 'End datetime': '2012-02-20', 'Route': None, 'Quantity': 'Not Extracted', 'Stop Reason': 'Not Extracted', 'Dose Unit': 'Not Extracted'}
Procedure 1: {'procedure': 'Throat culture (procedure) ', 'procedure type': 'EHR encounter record', 'procedure start datetime': '2015-02-18', 'procedure end datetime': 'Not Extracted', 'modifier': 'Not Extracted'}
</PatientData>
Based on the trajectory above, what will the patient's **next** High Density Lipoprotein Cholesterol value be on 2016-01-05 00:00:00?
A. 65.0
B. 44.0
C. 67.0
D. 60.0
E. 76.0
Please share a single capital letter representing your selected answer: 
65.0 44.0 67.0 60.0 76.0