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Pharmacokinetic-pharmacodynamic modeling of the effectiveness and safety of buprenorphine and fentanyl in rats.

AbstractOBJECTIVE:
Respiratory depression is a serious and potentially life-threatening side-effect of opioid therapy. The objective of this investigation was to characterize the relationship between buprenorphine or fentanyl exposure and the effectiveness and safety outcome in rats.
METHODS:
Data on the time course of the antinociceptive and respiratory depressant effect were analyzed on the basis of population logistic regression PK-PD models using non-linear mixed effects modeling software (NONMEM). The pharmacokinetics of buprenorphine and fentanyl were described by a three- and two-compartment model, respectively. A logistic regression model (linear logit model) was used to characterize the relationship between drug exposure and the binary effectiveness and safety outcome.
RESULTS:
For buprenorphine, the odds ratios (OR) were 28.5 (95% CI, 6.9-50.1) and 2.10 (95% CI, 0.71-3.49) for the antinociceptive and respiratory depressant effect, respectively. For fentanyl these odds ratios were 3.03 (95% CI, 1.87-4.21) and 2.54 (95% CI, 1.26-3.82), respectively.
CONCLUSION:
The calculated safety index (OR(antinociception)/OR(respiratory depression)) for fentanyl of 1.20 suggests that fentanyl has a low safety margin, implicating that fentanyl needs to be titrated with caution. For buprenorphine the safety index is 13.54 suggesting that buprenorphine is a relatively safe opioid.
AuthorsAshraf Yassen, Erik Olofsen, Jingmin Kan, Albert Dahan, Meindert Danhof
JournalPharmaceutical research (Pharm Res) Vol. 25 Issue 1 Pg. 183-93 (Jan 2008) ISSN: 0724-8741 [Print] United States
PMID17914664 (Publication Type: Journal Article)
Chemical References
  • Narcotic Antagonists
  • Buprenorphine
  • Fentanyl
Topics
  • Algorithms
  • Animals
  • Buprenorphine (adverse effects, pharmacokinetics, pharmacology)
  • Depression, Chemical
  • Fentanyl (adverse effects, pharmacokinetics, pharmacology)
  • Linear Models
  • Logistic Models
  • Male
  • Models, Statistical
  • Narcotic Antagonists (adverse effects, pharmacokinetics, pharmacology)
  • Odds Ratio
  • Pain Measurement (drug effects)
  • Plethysmography, Whole Body
  • Rats
  • Rats, Wistar
  • Regression Analysis
  • Respiratory Function Tests
  • Respiratory Mechanics (drug effects)

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