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Clinical Chemistry 49: 813-815, 2003; 10.1373/49.5.813
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(Clinical Chemistry. 2003;49:813-815.)
© 2003 American Association for Clinical Chemistry, Inc.


Technical Briefs

Influence of Sampling-Time Error on Cyclosporine Measurements Nominally at 2 Hours after Administration

Frank Saint-Marcoux1, Annick Rousseau1,2, Yann Le Meur3, Marc Estenne4, Christiane Knoop4, Jean Debord1 and Pierre Marquet1,a

Departments of
1 Pharmacology and Toxicology and
3 Nephrology, University Hospital, 87042 Limoges cedex, France
2 Laboratory of Biophysics, Faculty of Pharmacy, 87025 Limoges cedex, France

4 Departments of Chest Medicine and Clinical Chemistry, Erasme University Hospital, 1070 Brussels, Belgium

aaddress correspondence to this author at: Service de Pharmacologie et Toxicologie, CHU Dupuytren, 87042 Limoges cedex, France; fax 33-555-05-61-62, e-mail marquet{at}unilim.fr

Cyclosporine (CsA) blood concentrations measured 2 h after Neoral® administration (c2) are a sensitive predictor of clinical outcome in organ transplantation, as suggested by a recent prospective clinical trial in liver transplant patients (1). c2 is now recommended as the target exposure index for the therapeutic drug monitoring (TDM) of CsA (2)(3)(4)(5)(6)(7)(8). The aim of this study was to investigate, for different types of grafts, the concentration–time relationships around c2 to evaluate the concentration error as a function of the sampling-time error and to identify the sampling-time range compatible with acceptable performance of this c2 TDM strategy.

Data obtained from three different clinical trials were studied retrospectively. Each patient gave written informed consent, and each trial was approved by a local ethics committee (9)(10)(11). The three populations were as follows:

All the patients from these three clinical trials were dosed twice daily with microemulsified CsA (Neoral). The data are summarized in Table 1 .


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Table 1. Mean CsA exposure indices in the populations studied.

For both kidney and lung transplant patients, CsA whole-blood concentrations were measured using an enzyme-multiplied immunoassay technique (Emit; Dade-Behring Diagnostics). This method has an upper limit of quantification of 500 µg/L. In the clinical trial conducted with cardiac transplant recipients, whole-blood CsA was measured with a fluorescence polarization immunoassay (FPIA; Abbott TDx). This method has an upper limit of quantification of 1500 µg/L. For both assays, samples with CsA concentrations greater than the upper assay range were diluted 1:4 with human blank whole blood (100 µL of sample + 300 µL of blank whole blood) and then reanalyzed.

Individual pharmacokinetic profiles were fitted using nonlinear regression (NLR) to a two-compartment pharmacokinetic model where the absorption phase is described by a {gamma} distribution (12). This pharmacokinetic model was specifically designed previously to deal with oral CsA profiles and was validated in the patient data sets analyzed here (9)(11)(13).

The consistency between observed and calculated concentrations within the first 4 h post dose was studied within each population. Seven or eight time points (i.e., 0.33, 0.66, 1, 1.5, 2, 3, and 4 h for all plus 2.5 h in heart transplant patients) were taken into account, representing a total of 140, 360, 203, and 210 concentrations for renal, heart, and lung cystic and noncystic transplant recipients, respectively. The relative differences between observed and predicted concentrations at all time points between 0 and 4 h post dose and the root mean squared error (14) were calculated using Excel (Microsoft). Regression and correlation analyses were performed using Statview (Abacus Concept).

For each patient and each profile, concentration values within ± 15 min around 120 min post dose (i.e., at 105, 110, 115, 125, 130, and 135 min) were estimated by NLR using the same pharmacokinetic model.

The relative concentration error (RCE) with respect to the concentration actually measured at 120 min (c120) post dose was then computed as follows:

where cCalc is the calculated concentration at sampling times t = 105, 110, 115, 125, 130, and 135 min post dose using NLR; and c120 ("true") is the measured concentration at t = 120 min. The mean RCE values were calculated for each virtual sampling time and each type of graft separately.

A total of 124 full blood CsA concentration profiles over 12 h were analyzed for the present study. We found excellent correlation over the first 4 h after dosing between observed concentrations and concentration values calculated using NLR. Correlation coefficients (r2) varied from 0.972 for cystic fibrosis transplant patients to 0.985 for renal recipients. Intercepts and slopes were not significantly different from 0 and 1, respectively. The good predictive performance resulted from the very small and nonsignificant differences between measured and calculated concentrations [mean (SD) differences, 0.6 (4.5)% 0.7 (3.9)%, 0.2 (13)%, and 0.8 (9.6)% for renal, heart, lung cystic fibrosis, and lung non-cystic fibrosis transplant patients, respectively] and good precision (root mean squared error, 1.1–5.7%).

The calculated RCE values at each studied sampling time for each profile for the five different populations are shown in Fig. 1 . For each transplant patient, whatever the type of graft, the RCE value was within ± 20% in a sampling-time interval from 110 to 130 min. A sampling-time error of ± 15 min produced a RCE >20% (up to 30%) in a few heart and lung transplant patients. As can be inferred from Fig. 1 , in many patients tmax was later than c2, which could be designated as "delayed absorption". The present data set included patients with a tmax up to 5 h. In renal transplant patients, overestimation of c2 was observed for t <120 min and underestimation for t >120 min. In lung and heart transplant patients, over- as well as underestimation of c2 could be observed regardless of the time error, depending on the patient.



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Figure 1. RCE as a function of sampling-time error ~2 h post dose (TE min).

The line across each box is the median, the bottom edge is the first quartile, and the top edge is the third quartile. The error bars represent the 10th and 90th percentiles. All values outside these extremes ({circ}) are outliers. (A), lung transplant patients with cystic fibrosis (29 profiles); (B), lung transplant patients without cystic fibrosis (30 profiles); (C), stable renal transplant patients (20 profiles); (D), heart transplant patients at week 1 post transplantation (16 profiles); (E), heart transplant patients at month 3 and year 1 post transplantation (29 profiles).

On the basis of data obtained in renal, heart, and lung transplant patients and using a validated pharmacokinetic method, the present study shows that when the sampling-time error around 2 h post dose increases, the relative concentration error and its interindividual variability also increase significantly. Although the impact of sampling-time error differed with the type of graft, an acceptable (± 20%) estimation of the true c2 value was obtained within a time-error range of ± 10min for all 124 profiles. Interestingly, for renal transplant patients, the mean RCE was always <10% within this time range.

The c2 target values defined for CsA TDM in renal and de novo liver transplant patients have been proposed with a range of ± 20% (e.g., 1.7 mg/L ± 20% for the 0–1 month post-transplantation period in renal transplantation) (4). We compared this range with the interlaboratory CV values of the International Cyclosporin Proficiency Testing Scheme, taken as estimates of the analytical error (15). For concentrations <500 µg/L (n = 12; results for the year 2002), the mean CVs were 10% for the Emit and 6.0% for the FPIA. The interlaboratory CV obtained with a whole blood sample to which 2000 µg/L cyclosporin had been added was 7.9% for the Emit (n = 38) and 7.2% for the FPIA (n = 30).

In summary, numerous studies have promoted a Neoral monitoring strategy using CsA blood concentrations measured 2 h after drug administration, called c2, to improve the clinical benefits for transplant patients. Guidelines for c2 interpretations propose target values with a range of ± 20%. The present study shows that the accuracy of c2 monitoring is highly dependent on the correct sampling time and that a substantial difference (up to 30%) from the 2-h values (which are themselves subject to analytical inaccuracy and imprecision) can occur with a sampling-time error of 15 min. Consequently, such time errors could lead to inappropriate dose adjustment and to inadequate immunosuppression or increased risk of adverse effects. Timing errors of ± 10 min seem to be the acceptable limit for use of c2 and subsequent dose adjustment of CsA.


References

  1. Cantarovich M, Elstein E, De Varennes B, Barkun JS. Clinical benefit of Neoral dose monitoring with cyclosporine 2-hr post-dose levels compared with through levels in stable heart transplant patients. Transplantation 1999;68:1839-1842.[Medline] [Order article via Infotrieve]
  2. Nashan B, Cole E, Levy G, Thervet E. Clinical validation studies of Neoral C2 monitoring: a review. Transplantation 2002;73(Suppl 9):3-11.[CrossRef][Medline] [Order article via Infotrieve]
  3. Johnston A, David OJ. Pharmacokinetic validation of Neoral absorption profiling. Transplant Proc 2000;32(Suppl 3A):53-56.
  4. Oellerich M, Armstrong VW. Two-hour cyclosporine concentration determination: an appropriate tool to monitor Neoral therapy. Ther Drug Monit 2002;24:40-46.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  5. Belitsky P, Levy GA, Johnston A. Neoral absorption profiling: an evolution in effectiveness. Transplant Proc 2000;32(Suppl 3A):45-52.[Medline] [Order article via Infotrieve]
  6. Holt DW. Cyclosporin monitoring based on C2 sampling. Transplantation 2002;73:953-959.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  7. Levy GA, Thervet E, Lake J, Uchida K. Patient management by Neoral C2 monitoring: an international consensus statement. Transplantation 2002;73(Suppl 9):12-18.[CrossRef][Medline] [Order article via Infotrieve]
  8. Cole E, Midtvedt K, Johnston A, Pattison J, O’Grady C. Recommendations for the implementation of Neoral C2 monitoring in clinical practice. Transplantation 2002;73(Suppl 9):19-22.
  9. Leger F, Debord J, Le Meur Y, Rousseau A, Büchler M, Lachatre G, et al. Maximum a posteriori Bayesian estimation of oral cyclosporine pharmacokinetics in stable renal transplant patients. Clin Pharmacokinet 2002;41:71-80.[Medline] [Order article via Infotrieve]
  10. Cooney GF, Jeevanandam V, Choudbury S, Feutren G, Mueller EA, Eisen HJ. Comparative bioavailability of Neoral and Sandimmune in cardiac transplant recipients over one year. Transplant Proc 1998;30:1892-1898.[CrossRef][Medline] [Order article via Infotrieve]
  11. Monchaud C, Léger F, Rousseau A, David O, Cooney G, Marquet P. Bayesian forecasting of oral cyclosporine in cardiac transplant recipients. Ther Drug Monit 2001;23:468.
  12. Debord J, Risco E, Harel M, Le Meur Y, Büchler M, Lachâtre G, et al. Application of a gamma model of absorption to oral cyclosporin. Clin Pharmacokinet 2001;40:375-382.[Medline] [Order article via Infotrieve]
  13. Rousseau A, Monchaud C, Debord J, Vervier I, Estenne M, Thiry P, et al. Bayesian forecasting of oral cyclosporine pharmacokinetics in stable lung transplant recipients with and without cystic fibrosis. Ther Drug Monit 2003;25:28-35.[Medline] [Order article via Infotrieve]
  14. Sheiner LB, Stuart LB. Some suggestions for measuring predictive performance. J Pharmacokinet Biopharm 1981;9:503-512.[CrossRef][ISI][Medline] [Order article via Infotrieve]
  15. Analytical Services International Limited. http://www.bioanalytics.co.uk (accessed December 2002)..




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