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Are estimates of MAC reliable?
1Department of Anesthesia, University of California, San Francisco, USA.
Background:
Potency of inhaled anesthetics (minimum alveolar concentration [MAC]) is typically studied in humans using an "up-down" approach in which the (quantal) response to skin incision is assessed only once for each individual, so that each individual's MAC is never determined. The authors examined the influence of interindividual variability and study design issues (e.g., the number of patients enrolled in a study) on the accuracy of MAC estimates.
Methods:
The typical sequence of a MAC study was simulated. The authors varied and tested the impact of several factors: anesthetic concentration used to start a study; number of "crossovers" (successive patients having different responses to skin incision) to terminate a study; concentration increment between consecutive patients; interindividual variability; and "measurement error." For each factor, simulations were replicated 500 times, and the resulting estimates were summarized.
Results:
Starting an experiment below or above the "true" value led to slightly biased MAC estimates; in contrast, variability was underestimated with starting concentrations close to the true value. More than six crossovers improved MAC estimates minimally but increased variability estimates toward true values. A larger increment size affected MAC minimally and increased variability estimates toward true values. A larger interindividual variability led to more "outlier" estimates for MAC. Under many conditions, several of 500 replicates yielded MAC estimates that deviated more than 10% or even more than 25% from the "true" value.
Conclusion:
Individual experiments may yield inaccurate MAC estimates. This inaccuracy is minimized as the number of crossovers increases; however, improvement diminishes as the number of crossovers exceeds six.
Insights
Estimating anesthetic potency (minimum alveolar concentration [MAC]) can be inaccurate due to study design. Increasing the number of patient crossovers improves accuracy, but benefits plateau after six crossovers.
Area of Science:
- Anesthesiology
- Pharmacology
- Statistical Modeling
Background:
- Minimum alveolar concentration (MAC) is a measure of inhaled anesthetic potency.
- Traditional MAC studies use an up-down method, assessing only one quantal response per patient.
- This limits the determination of individual MAC values and introduces potential inaccuracies.
Purpose of the Study:
- To evaluate the impact of interindividual variability on MAC estimates.
- To assess how study design factors influence the accuracy of MAC estimations.
- To identify optimal parameters for reliable MAC determination.
Main Methods:
- Simulated the standard up-down MAC study protocol.
- Varied key factors: starting concentration, number of crossovers, concentration increment, interindividual variability, and measurement error.
- Replicated simulations 500 times for each factor to analyze estimate accuracy and variability.
Main Results:
- Starting concentrations near the true MAC minimized variability underestimation.
- More than six crossovers minimally improved MAC estimates but increased variability estimates.
- Larger increment sizes and higher interindividual variability led to more outlier MAC estimates.
- Many simulations resulted in MAC estimates deviating over 10% or 25% from the true value.
Conclusions:
- Individual MAC experiments can produce inaccurate potency estimates.
- Increasing patient crossovers enhances accuracy, with diminishing returns beyond six.
- Study design significantly impacts the reliability of MAC measurements.
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