Literature DB >> 10843461

Methods for clinical monitoring of cyclosporin in transplant patients.

R J Dumont1, M H Ensom.   

Abstract

Cyclosporin was introduced into clinical practice in the early 1980s and has since been shown to prolong survival for transplant recipients. Because cyclosporin is a narrow therapeutic index drug and there are significant consequences associated with 'subtherapeutic' and 'supratherapeutic' concentrations, cyclosporin therapy is monitored as part of routine patient follow-up. However, the optimal method for the therapeutic drug monitoring of cyclosporin has yet to be defined. Currently, the most common method involves monitoring pre-dose trough concentrations, but this method is less than ideal. Other methods of monitoring cyclosporin therapy include monitoring the area under the concentration-time curve, limited sampling strategies, monitoring of single concentrations other than troughs and pharmacodynamic monitoring. Bayesian forecasting has been used successfully in clinical practice with other drugs with narrow therapeutic indices. However, few studies are available regarding Bayesian forecasting and cyclosporin. Existing studies are preliminary in nature and involve the old Sandimmun formulation rather than the Neoral formulation. Although these methods show promise, they have not gained widespread acceptance. This is because of their impracticality and the lack of prospective studies comparing other monitoring methods with trough concentration monitoring. Further comparative studies evaluating the impact of the specific monitoring method on definite patient outcomes are warranted.

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Year:  2000        PMID: 10843461     DOI: 10.2165/00003088-200038050-00004

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  124 in total

1.  Monitoring of serum neopterin levels in renal transplant recipients: increased values during impaired renal function and cytomegalovirus infection.

Authors:  L Bäckman; O Ringdén; I Björkhem
Journal:  Nephron       Date:  1987       Impact factor: 2.847

2.  Prediction of serum vancomycin concentrations using one-, two- and three-compartment models with implemented population pharmacokinetic parameters and with the Bayesian method.

Authors:  G Wu; M Furlanut
Journal:  J Pharm Pharmacol       Date:  1998-08       Impact factor: 3.765

3.  Estimated area-under-the-curve monitoring of Neoral in a stable pediatric renal transplant population: one-year experience.

Authors:  J Lemire; E V Capparelli; D MacDonald; N Benador; V M Reznik; S A Mendoza; W R Griswold
Journal:  Transplant Proc       Date:  1998-08       Impact factor: 1.066

4.  Clinical utility of a Bayesian dosing program for phenytoin.

Authors:  M D Privitera; R W Homan; T M Ludden; C C Peck; M R Vasko
Journal:  Ther Drug Monit       Date:  1989       Impact factor: 3.681

5.  Sensitivity and specificity of cyto-immunological monitoring in correlation with endomyocardial biopsies in heart transplant patients.

Authors:  D Klanke; C Hammer; P Dirschedl; B M Kemkes; B Reichart; M Gokel; F Krombach
Journal:  Transplant Proc       Date:  1987-10       Impact factor: 1.066

6.  Bayesian pharmacokinetic/pharmacodynamic forecasting of prothrombin response to warfarin therapy: preliminary evaluation.

Authors:  J M Svec; R W Coleman; D R Mungall; T M Ludden
Journal:  Ther Drug Monit       Date:  1985       Impact factor: 3.681

7.  The relationship between cyclosporine pharmacokinetic parameters and subsequent acute rejection in renal transplant recipients.

Authors:  B L Kasiske; K Heim-Duthoy; K V Rao; W M Awni
Journal:  Transplantation       Date:  1988-11       Impact factor: 4.939

8.  Prediction of blood cyclosporine concentrations in haematological patients with multidrug resistance by one-, two- and three-compartment models using Bayesian and non-linear least squares methods.

Authors:  G Wu; P Cossettini; M Furlanut
Journal:  Pharmacol Res       Date:  1996 Jul-Aug       Impact factor: 7.658

9.  Neopterin as a new biochemical marker in the clinical monitoring of bone marrow transplant recipients.

Authors:  D Niederwieser; C Huber; A Gratwohl; P Bannert; D Fuchs; A Hausen; G Reibnegger; B Speck; H Wachter
Journal:  Transplantation       Date:  1984-11       Impact factor: 4.939

10.  A limited sampling strategy for the estimation of eight-hour neoral areas under the curve in renal transplantation.

Authors:  H U Meier-Kriesche; B Kaplan; P Brannan; B D Kahan; R J Portman
Journal:  Ther Drug Monit       Date:  1998-08       Impact factor: 3.681

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  16 in total

Review 1.  Limited sampling strategies.

Authors:  O David; A Johnston
Journal:  Clin Pharmacokinet       Date:  2000-10       Impact factor: 6.447

2.  Omeprazole limited sampling strategies to predict area under the concentration-time curve ratios: implications for cytochrome P450 2C19 and 3A phenotyping.

Authors:  Eileen B Lawson; Jerry C Wu; R Michael Baldwin; Magnus Ingelman-Sundberg; Staffan Rosenborg; Dong-Seok Yim; Ophelia Q P Yin; Edmund V Capparelli; Joseph D Ma
Journal:  Eur J Clin Pharmacol       Date:  2011-10-19       Impact factor: 2.953

3.  Bayesian estimation of cyclosporin exposure for routine therapeutic drug monitoring in kidney transplant patients.

Authors:  Hélène Bourgoin; Gilles Paintaud; Matthias Büchler; Yvon Lebranchu; Elisabeth Autret-Leca; France Mentré; Chantal Le Guellec
Journal:  Br J Clin Pharmacol       Date:  2005-01       Impact factor: 4.335

Review 4.  Pharmacokinetic optimization of immunosuppressive therapy in thoracic transplantation: part II.

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

Review 5.  Pharmacokinetic optimization of immunosuppressive therapy in thoracic transplantation: part I.

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

6.  Population pharmacokinetic model to predict steady-state exposure to once-daily cyclosporin microemulsion in renal transplant recipients.

Authors:  Franziska Schädeli; Hans-Peter Marti; Felix J Frey; Dominik E Uehlinger
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

7.  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

Review 8.  Immunosuppressive therapy for paediatric transplant patients: pharmacokinetic considerations.

Authors:  María del Mar Fernández De Gatta; Dolores Santos-Buelga; Alfonso Domínguez-Gil; María José García
Journal:  Clin Pharmacokinet       Date:  2002       Impact factor: 6.447

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

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

Review 10.  Clinical pharmacokinetics and pharmacodynamics of tacrolimus in solid organ transplantation.

Authors:  Christine E Staatz; Susan E Tett
Journal:  Clin Pharmacokinet       Date:  2004       Impact factor: 6.447

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