Assessment of pharmacologic area under the curve when baselines are variable
Jeremy D Scheff1, Richard R Almon, Debra C Dubois
1Biomedical Engineering Department, Rutgers University, 599 Taylor Road, Piscataway, New Jersey 08854, USA.
Purpose:
The area under the curve (AUC) is commonly used to assess the extent of exposure of a drug. The same concept can be applied to generally assess pharmacodynamic responses and the deviation of a signal from its baseline value. When the initial condition for the response of interest is not zero, there is uncertainty in the true value of the baseline measurement. This necessitates the consideration of the AUC relative to baseline to account for this inherent uncertainty and variability in baseline measurements.
Methods:
An algorithm to calculate the AUC with respect to a variable baseline is developed by comparing the AUC of the response curve with the AUC of the baseline while taking into account uncertainty in both measurements. Furthermore, positive and negative components of AUC (above and below baseline) are calculated separately to allow for the identification of biphasic responses.
Results:
This algorithm is applied to gene expression data to illustrate its ability to capture transcriptional responses to a drug that deviate from baseline and to synthetic data to quantitatively test its performance.
Conclusions:
The variable nature of the baseline is an important aspect to consider when calculating the AUC.
More Related Videos
Related Concept Videos
Dosage Regimens: Partial Pharmacokinetic Parameters
Measurement of Bioavailability: Pharmacodynamic Methods
Measurement of Bioavailability: Pharmacokinetic Methods
Noncompartmental Analysis: Miscellaneous Pharmacokinetic Parameters
One key aspect of the noncompartmental approach is determining a drug's total clearance. This can be done by dividing the drug dose by the area under the concentration-time curve from zero to infinity. The area under the concentration-time curve represents the drug's overall...
Dosage Regimen: Multiple Oral Dosage
Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This relationship...


