Comparison of an assumption‐free Bayesian approach with Optimal Sampling Schedule to a maximum a posteriori Approach for Personalizing Cyclophosphamide Dosing. Issue 4 (27th August 2013)
- Record Type:
- Journal Article
- Title:
- Comparison of an assumption‐free Bayesian approach with Optimal Sampling Schedule to a maximum a posteriori Approach for Personalizing Cyclophosphamide Dosing. Issue 4 (27th August 2013)
- Main Title:
- Comparison of an assumption‐free Bayesian approach with Optimal Sampling Schedule to a maximum a posteriori Approach for Personalizing Cyclophosphamide Dosing
- Authors:
- Laínez, José M.
Orcun, Seza
Pekny, Joseph F.
Reklaitis, Gintaras V.
Suvannasankha, Attaya
Fausel, Christopher
Anaissie, Elias J.
Blau, Gary E. - Abstract:
- <abstract abstract-type="main" id="phar1346-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="phar1346-sec-0001" sec-type="section"> <title>Study Objective</title> <p>Variable metabolism, dose‐dependent efficacy, and a narrow therapeutic target of cyclophosphamide (CY) suggest that dosing based on individual pharmacokinetics (PK) will improve efficacy and minimize toxicity. Real‐time individualized CY dose adjustment was previously explored using a maximum a posteriori (MAP) approach based on a five serum–PK sampling in patients with hematologic malignancy undergoing stem cell transplantation. The MAP approach resulted in an improved toxicity profile without sacrificing efficacy. However, extensive PK sampling is costly and not generally applicable in the clinic. We hypothesize that the assumption‐free Bayesian approach (AFBA) can reduce sampling requirements, while improving the accuracy of results.</p> </sec> <sec id="phar1346-sec-0002" sec-type="section"> <title>Design</title> <p>Retrospective analysis of previously published CY PK data from 20 patients undergoing stem cell transplantation. In that study, Bayesian estimation based on the MAP approach of individual PK parameters was accomplished to predict individualized day‐2 doses of CY. Based on these data, we used the AFBA to select the optimal sampling schedule and compare the projected probability of achieving the therapeutic end points.</p> </sec> <sec id="phar1346-sec-0003"<abstract abstract-type="main" id="phar1346-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="phar1346-sec-0001" sec-type="section"> <title>Study Objective</title> <p>Variable metabolism, dose‐dependent efficacy, and a narrow therapeutic target of cyclophosphamide (CY) suggest that dosing based on individual pharmacokinetics (PK) will improve efficacy and minimize toxicity. Real‐time individualized CY dose adjustment was previously explored using a maximum a posteriori (MAP) approach based on a five serum–PK sampling in patients with hematologic malignancy undergoing stem cell transplantation. The MAP approach resulted in an improved toxicity profile without sacrificing efficacy. However, extensive PK sampling is costly and not generally applicable in the clinic. We hypothesize that the assumption‐free Bayesian approach (AFBA) can reduce sampling requirements, while improving the accuracy of results.</p> </sec> <sec id="phar1346-sec-0002" sec-type="section"> <title>Design</title> <p>Retrospective analysis of previously published CY PK data from 20 patients undergoing stem cell transplantation. In that study, Bayesian estimation based on the MAP approach of individual PK parameters was accomplished to predict individualized day‐2 doses of CY. Based on these data, we used the AFBA to select the optimal sampling schedule and compare the projected probability of achieving the therapeutic end points.</p> </sec> <sec id="phar1346-sec-0003" sec-type="section"> <title>Measurements and Main Results</title> <p>By optimizing the sampling schedule with the AFBA, an effective individualized PK characterization can be obtained with only two blood draws at 4 and 16 hours after administration on day 1. The second‐day doses selected with the AFBA were significantly different than the MAP approach and averaged 37% higher probability of attaining the therapeutic targets.</p> </sec> <sec id="phar1346-sec-0004" sec-type="section"> <title>Conclusions</title> <p>The AFBA, based on cutting‐edge statistical and mathematical tools, allows an accurate individualized dosing of CY, with simplified PK sampling. This highly accessible approach holds great promise for improving efficacy, reducing toxicities, and lowering treatment costs.</p> </sec> </abstract> … (more)
- Is Part Of:
- Pharmacotherapy. Volume 34:Issue 4(2014)
- Journal:
- Pharmacotherapy
- Issue:
- Volume 34:Issue 4(2014)
- Issue Display:
- Volume 34, Issue 4 (2014)
- Year:
- 2014
- Volume:
- 34
- Issue:
- 4
- Issue Sort Value:
- 2014-0034-0004-0000
- Page Start:
- 330
- Page End:
- 335
- Publication Date:
- 2013-08-27
- Subjects:
- Chemotherapy -- Periodicals
Pharmacology -- Periodicals
Drug Therapy -- Periodicals
Pharmacology -- Periodicals
615.1 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1875-9114 ↗
http://www.medscape.com/ ↗
http://www.pharmacotherapy.org ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/phar.1346 ↗
- Languages:
- English
- ISSNs:
- 0277-0008
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6447.089000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3308.xml