Literature DB >> 10428267

Neoral monitoring by simplified sparse sampling area under the concentration-time curve: its relationship to acute rejection and cyclosporine nephrotoxicity early after kidney transplantation.

K Mahalati1, P Belitsky, I Sketris, K West, R Panek.   

Abstract

BACKGROUND: Cyclosporine (CsA) dosing is traditionally based on trough blood levels (C0) rather than area under the concentration-time curve (AUC), although AUC correlates better with posttransplantation clinical events. For Neoral, AUC based on limited sampling correlates closely with full 12-hr AUC. The purpose of our study was to correlate C0 with AUC based on CsA levels at 0, 1, 2, 3, and 4 hr after dose (PK0-4) and to compare this AUC with C0 in predicting acute rejection (AR) and acute cyclosporine nephrotoxicity (CsANT) in de novo first kidney transplant patients.
METHODS: PK0-4 was done 2-4 days after starting Neoral for 156 patients. All received CsA-based triple-drug immunosuppression without antibody induction. AUC was calculated as projected 12-hr (AUC0-12) and actual 4-hr (AUC0-4) from the PK0-4 using the parallel trapezoid rule. Neoral dosing was based on C0 not AUC. AUC was retrospectively compared with C0 as a predictor of AR and CsANT during the first 90 days.
RESULTS: C0 correlated poorly with AUC0-12 and AUC0-4 (r=0.61 and r=0.42). C0 (mean+/-SEM) levels were not significantly different in 34 patients with and 109 without AR (293+/-21 vs. 294+/-11 microg/L, P=0.95). AUC0-12 and AUC0-4 were significantly lower in patients with than without AR (AUC0-12 9090+/-598 vs. 10608+/-336 microg x h/L, P=0.01; AUC0-4 3934+/-306 vs. 4802+/-166 microg.h/L, P=0.006). In stepwise regression analysis only AUC0-12 or AUC0-4 (P=0.03/P=0.02) and delayed graft function (P=0.007) predicted AR. AUC0-12, AUC0-4, and C0 were all significantly higher in patients with CsANT than without CsANT (AUC0-12 11746+/-650 vs. 10023+/-301 microg x h/L, P=0.01; AUC0-4 5270+/-358 vs. 4474+/-150 microg x h/L, P=0.01; C0 343+/-18 vs. 287+/-10 microg/L, P=0.01), but in stepwise regression analysis C0 was not an independent predictor of CsANT. Patients with AUC0-12 in the range of 9500 to 11500 microg x h/L or AUC0-4 between 4400 and 5500 microg x h/L had the lowest incidence of AR (13% and 7%, respectively) without significantly higher risk for CsANT.
CONCLUSION: C0 correlates poorly with AUC based on PK0-4. Early AUC based on PK0-4 is more closely associated with AR and CsANT than is C0. Our data suggest that a target AUC0-12 of 9500-11500 or AUC0-4 of 4400-5500 microg x h/L may provide optimal Neoral immunosuppression.

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Year:  1999        PMID: 10428267     DOI: 10.1097/00007890-199907150-00011

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  35 in total

1.  Atorvastatin does not affect the pharmacokinetics of cyclosporine in renal transplant recipients.

Authors:  Monica Hermann; Anders Asberg; Hege Christensen; Jan Leo Egge Reubsaet; Hallvard Holdaas; Anders Hartmann
Journal:  Eur J Clin Pharmacol       Date:  2005-02-12       Impact factor: 2.953

Review 2.  Pharmacokinetic optimization of immunosuppressive therapy in thoracic transplantation: part I.

Authors:  Caroline Monchaud; Pierre Marquet
Journal:  Clin Pharmacokinet       Date:  2009       Impact factor: 6.447

Review 3.  Therapeutic drug monitoring in pediatric renal transplantation.

Authors:  Lutz T Weber
Journal:  Pediatr Nephrol       Date:  2014-04-25       Impact factor: 3.714

4.  Routine Cyclosporine concentration - C2 level Monitoring. Is it helpful during the early post Transplant Period?

Authors:  A S Narula; Msn Murthy; Ksk Patrulu; V K Saxena
Journal:  Med J Armed Forces India       Date:  2011-07-21

5.  Maximum a posteriori Bayesian estimation of oral cyclosporin pharmacokinetics in patients with stable renal transplants.

Authors:  Frédéric Leger; Jean Debord; Yann Le Meur; Annick Rousseau; Mathias Büchler; Gérard Lachâtre; Gilles Paintaud; Pierre Marquet
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

6.  Population pharmacokinetics of ciclosporin in haematopoietic allogeneic stem cell transplantation with emphasis on limited sampling strategy.

Authors:  Abraham J Wilhelm; Peer de Graaf; Agnes I Veldkamp; Jeroen J W M Janssen; Peter C Huijgens; Eleonora L Swart
Journal:  Br J Clin Pharmacol       Date:  2012-04       Impact factor: 4.335

Review 7.  Distribution of cyclosporin in organ transplant recipients.

Authors:  Fatemeh Akhlaghi; Andrew K Trull
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

8.  Cyclosporin therapeutic drug monitoring--an established service revisited.

Authors:  Raymond G Morris
Journal:  Clin Biochem Rev       Date:  2003-05

9.  An economic model of 2-hour post-dose ciclosporin monitoring in renal transplantation.

Authors:  Paul A Keown; Bryce Kiberd; Robert Balshaw; Shideh Khorasheh; Carlo Marra; Philip Belitsky; Zoltan Kalo
Journal:  Pharmacoeconomics       Date:  2004       Impact factor: 4.981

10.  MDR1 polymorphisms effect cyclosporine AUC0-4 values in Behçet's disease patients.

Authors:  Yoshihiko Katsuyama; Masao Ota; Nobuhisa Mizuki; Akiko Ito; Eiichi Okada; Shigeaki Ohno; Tamihide Matsunaga; Hirofumi Fukushima; Shigeru Ohmori
Journal:  Clin Ophthalmol       Date:  2007-09
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