Suitability of Various Noninfinity Area Under the Plasma Concentration–Time Curve (AUC) Estimates for Use in Bioequivalence Determinations: Relationship to AUC from Zero to Time Infinity (AUCO–INF)

In: Pharmaceutical Research · 1991 · vol. 8(4) , pp. 512–517 · doi:10.1023/a:1015863530888 · PMID:1871049 · W320066091
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AUC0–LAST consistently provided the best approximation of AUC0–INF across three drug groups, though noninfinity confidence intervals sometimes differed from AUC0–INF.

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This paper used simulation and drug-specific bioequivalence-style comparisons to evaluate how different noninfinity estimates of the plasma concentration–time curve area (AUCTM, AUC0–LAST) approximate AUCO–INF (AUC from zero to time infinity). It compared 90% confidence intervals for the difference in product means across three generic drugs (danazol, baclofen, oxazepam), and examined how performance depended on factors such as elimination half-life and apparent intrasubject variability, with a major stated caveat being that results were based on chosen drug groups and simulation scenarios rather than a universal setting. In simulations, AUCTM performed best when half-lives were similar (so AUCTM equaled AUC0–LAST), while AUC0–LAST worked best with high fractional standard deviation and short elimination half-life; across all three drugs, AUC0–LAST most consistently approximated AUC0–INF. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

The influence of random error and elimination rate on estimates of the area under the curve from zero to time infinity (AUCO-INF) was determined in a simulation study using noninfinity measured AUC values (i.e. AUCTM, area to a measured common sampling time, and AUCO-LAST, area to the last measured sampling time). Further, the extent of absorption of generic danazol, baclofen, and oxazepam was determined using measured methods of estimating area under the curve in bioequivalence studies. The noninfinity AUC estimates and their 90% confidence intervals for the difference in product means were compared for each individual drug. Products chosen fulfilled one of the following three criteria: (1) a high "apparent intrasubject variability" and a half-life greater than 8 hr (danazol); (2) a low apparent intrasubject variability and a half-life less than 4 hr (baclofen); and (3) products exhibiting a low apparent intrasubject variability and a half-life greater than 8 hr (oxazepam). For the simulated data, AUCTM performed best when subjects had similar half-lives (i.e., low variability), which results in AUCTM = AUCO-LAST. On the other hand, AUCO-LAST worked best with a high fractional standard deviation (fsd) and a short elimination half-life (i.e., less than 4 hr). The noninfinity 90% confidence intervals for danazol and oxazepam were inconsistent with those observed at AUCO-INF.(ABSTRACT TRUNCATED AT 250 WORDS)
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Abstract

The influence of random error and elimination rate on estimates of the area under the curve from zero to time infinity (AUC0–INF) was determined in a simulation study using noninfinity measured AUC values (i.e., AUCTM, area to a measured common sampling time, and AUC0-LAST, area to the last measured sampling time). Further, the extent of absorption of generic danazol, baclofen, and oxazepam was determined using measured methods of estimating area under the curve in bioequivalence studies. The noninfinity AUC estimates and their 90% confidence intervals for the difference in product means were compared for each individual drug. Products chosen fulfilled one of the following three criteria: (1) a high “apparent intrasubject variability” and a half-life greater than 8 hr (danazol); (2) a low apparent intrasubject variability and a half-life less than 4 hr (baclofen); and (3) products exhibiting a low apparent intrasubject variability and a half-life greater than 8 hr (oxazepam). For the simulated data, AUCTM performed best when subjects had similar half-lives (i.e., low variability), which results in AUCTM = AUC0–LAST. On the other hand, AUC0–LAST worked best with a high fractional standard deviation (fsd) and a short elimination half-life (i.e., less than 4 hr). The noninfinity 90% confidence intervals for danazol and oxazepam were inconsistent with those observed at AUC0–INF. However, baclofen, which has a short elimination half-life, exhibited good agreement between the noninfinity and the AUC0–INF 90% confidence intervals. However, across all three drug groups, the comparison based upon the area calculated from time zero to the last quantifiable concentration, AUC0–LAST, consistently provided the best approximation of AUC0–INF. Similar content being viewed by others

References

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