Pediatric Nephrology

, Volume 34, Issue 3, pp 507–515 | Cite as

The potential impact of hematocrit correction on evaluation of tacrolimus target exposure in pediatric kidney transplant patients

  • Anne M. SchijvensEmail author
  • Fransje H. S. van Hesteren
  • Elisabeth A. M. Cornelissen
  • Charlotte M. H. H. T. Bootsma-Robroeks
  • Roger J. M. Brüggemann
  • David M. Burger
  • Saskia N. de Wildt
  • Michiel F. Schreuder
  • Rob ter Heine
Open Access
Original Article
Part of the following topical collections:
  1. What’s New in Renal Transplantation



Tacrolimus is an important immunosuppressive agent with high intra- and inter-individual pharmacokinetic variability and a narrow therapeutic index. As tacrolimus extensively accumulates in erythrocytes, hematocrit is a key factor in the interpretation of tacrolimus whole blood concentrations. However, as hematocrit values in pediatric kidney transplant patients are highly variable after kidney transplantation, translating whole blood concentration targets without taking hematocrit into consideration is theoretically incorrect. The aim of this study is to evaluate the potential impact of hematocrit correction on tacrolimus target exposure in pediatric kidney transplant patients.


Data were obtained from 36 pediatric kidney transplant patients. Two hundred fifty-five tacrolimus whole blood samples were available, together responsible for 36 area under the concentration-time curves (AUCs) and trough concentrations. First, hematocrit corrected concentrations were derived using a formula describing the relationship between whole blood concentrations, hematocrit, and plasma concentrations. Subsequently, target exposure was evaluated using the converted plasma target concentrations. Ultimately, differences in interpretation of target exposure were identified and evaluated.


In total, 92% of our patients had lower hematocrit (median 0.29) than the reference value of adult kidney transplant patients. A different evaluation of target exposure for either trough level, AUC, or both was defined in 42% of our patients, when applying hematocrit corrected concentrations.


A critical role for hematocrit in therapeutic drug monitoring of tacrolimus in pediatric kidney transplant patients is suggested in this study. Therefore, we believe that hematocrit correction could be a step towards improvement of tacrolimus dose individualization.


Therapeutic drug monitoring (TDM) Tacrolimus Hematocrit Pediatrics Kidney transplantation 


Calcineurin inhibitors (CNIs) are the cornerstone of immunosuppressive therapy after kidney transplantation. Tacrolimus was introduced in the 1990s as an alternative to ciclosporin and is now widely used to prevent rejection after solid-organ transplantation in both adult and pediatric transplant recipients [1]. At the time of discharge after transplantation, approximately 70% of pediatric kidney transplant patients are treated with tacrolimus [2]. Tacrolimus is characterized by a narrow therapeutic index: high concentrations are associated with toxicity, malignancy, and infection, while low concentrations are associated with an increased risk of acute rejection [3, 4]. Furthermore, the intra- and inter-individual pharmacokinetic variability is high [1, 5]. Previously, body weight [6, 7, 8], CYP3A5 polymorphisms [6, 7, 8, 9], age [9, 10] and hematocrit level [6, 7] were found to have significant effects on pharmacokinetic variability in pediatric kidney transplant patients, especially in the early phase after transplantation. Due to the large pharmacokinetic variability, individualizing tacrolimus dosing regimens by performing therapeutic drug monitoring (TDM) to optimize the therapeutic effect and minimize adverse effects is essential and currently the standard of care.

For pediatric kidney transplant patients, little is known about the optimal targets for tacrolimus exposure. Furthermore, both whole blood trough concentrations and area under the concentration-time curves (AUCs) are used to adjust the tacrolimus dosing regimen of the individual patient. As it stands, it is unknown what the best pharmacokinetic parameter to predict treatment outcome is, and the relationship between blood trough concentrations and AUCs in pediatric patients remains a matter of debate [10]. As reference values for target exposure based on clinical trials in pediatric patients are lacking, adult targets are currently used [3, 11, 12]. Yet, large differences exist between the pediatric and adult population in terms of pharmacokinetics and physiology [13].

Hematocrit is a confounder for interpretation of tacrolimus exposure in whole blood. Several population pharmacokinetic studies have indeed identified hematocrit as a key factor for interpretation of tacrolimus whole blood concentrations in both the adult and pediatric population [6, 14, 15]. Low hematocrit results in lower whole blood exposure and can then be incorrectly interpreted as an increased apparent clearance of tacrolimus from whole blood, while the plasma concentrations and clearance remain unchanged [6, 7]. Currently, tacrolimus is generally measured as total concentrations in whole blood, whereas only the unbound concentration in plasma is pharmacologically active as it is available for cellular diffusion and distribution [16]. Measurement of plasma or unbound tacrolimus concentrations might therefore be a better reflection of the pharmacologically active drug, which is technically challenging and often unavailable in clinical practice [3, 17]. Tacrolimus extensively accumulates in erythrocytes, and the concentration in whole blood is the weighted average concentration of the plasma and erythrocyte fractions. Consequently, a change in hematocrit will affect the whole blood concentration, without affecting the pharmacologically active unbound plasma concentration [16, 18, 19].

Hematocrit values tend to change significantly in the first months after transplantation [14, 20]. Changes in hematocrit values can occur in both ways: most patients will have an increase in hematocrit as erythropoietin levels increase rapidly after a successful kidney transplantation. However, a decrease is also possible for both early after transplantation based on blood loss due to the surgery or dilution due to intensive fluid control and after discharge as a side effect of the frequently used concomitant immunosuppressive agent mycophenolic acid. As tacrolimus trough concentrations and AUCs are currently measured in whole blood, this may lead to incorrect dose adjustments and inadequate tacrolimus exposure [21].

The aim of our study was to evaluate the potential impact of hematocrit correction on tacrolimus target exposure in pediatric kidney transplant patients.


Study design

To evaluate the impact of hematocrit correction on tacrolimus dose individualization in pediatric kidney transplant patients, we performed a retrospective cohort study at our tertiary referral center (Radboudumc Amalia Children’s Hospital, Nijmegen) in the Netherlands.

Setting and subjects

Pediatric kidney transplant patients (aged 1–18 years) undergoing therapeutic drug monitoring for tacrolimus between 2012 and 2017 were included when an AUC0–12 h or AUC0–8 h was available. A subset of our study population has previously been described by Martial et al. [22]. Patients were excluded in cases where a hematocrit value was not available within 2 days of sampling. Sampling for the AUCs was typically performed at the following time points: pre-dose and 1, 2, 3, 4, 8, and 12 h after tacrolimus intake. All patients received oral capsules (Prograft, Astellas Pharma) or a suspension (as extemporaneous preparation). Tacrolimus doses were adjusted based on TDM to achieve the whole blood target exposure that depends on time post transplantation and the immunosuppressive regimen of choice, as shown in Table 1 and Table 2 [3, 11, 12, 23, 24]. In our hospital, two treatment regimens with tacrolimus are commonly used: a prednisolone-free immunosuppressive regimen (according to the TWIST protocol) [25] or a triple therapy including prednisolone and mycophenolate mofetil [3]. As food may decrease the rate and extent of tacrolimus absorption, patients were instructed to always take the medication in an identical manner (either with or without food). The Ethics Committee of the Radboud University Medical Center waived the need for ethical approval according to the Dutch Law on Human Research, as only patient chart data were collected.
Table 1

Target whole blood concentrations and predicted plasma concentrations for tacrolimus using different hematocrit values


Time post-transplantation

Target range wba (μg/l)

Predicted target range plasma (μg/l)

Predicted target range wb (μg/l)

Predicted target range wb (μg/l)


Ht = 0.35


Ht = 0.35

Ht = 0.30

Ht = 0.25

Target trough level (C0) prednisolone-free regimen

0–4 weeks





4 weeks–6 months





6–12 months





> 12 months





Target trough level (C0) immunosuppressive regimen including prednisolone

0–4 weeks





4 weeks–6 months





6–12 months





> 12 months





AUC area under the concentration time curve, C0 trough concentration, wb whole blood

aTargets according to our local hospital protocol which is based on the following references: [23, 3, 24, 11]

Table 2

Target whole blood AUCs and predicted plasma AUCs


Time post-transplantation

Target wb AUC0–12 h


Target plasma AUC0–12 h


Target AUC0–12 h

0–6 weeks

210 h μg/l (168–252)

6.9 h μg/l (5.4–8.4)

> 6 weeks

125 h μg/l (100–150)

4.0 h μg/l (3.1–4.8)

AUC area under the concentration time curve, wb whole blood

aTargets according to our local hospital protocol which is based on the following references: [3, 8]

  1. Step 1:

    Derivation of hematocrit corrected target exposure

As tacrolimus dose individualization in children is guided by measurement of whole blood concentrations [3], we derived the associated plasma trough concentrations and plasma AUCs to use as hematocrit corrected target exposure. Whole blood concentrations (Cwb) can be calculated from plasma concentrations, using the fraction of hematocrit (fHCT) for weighting with the following equation (Eq. 1), in which Bmax is the maximum binding concentration of 418 μg/L and Kd is the dissociation constant of 3.8 μg/L [15]:
$$ {C}_{\mathrm{wb}}={C}_{\mathrm{p}}\bullet \left(1+\frac{B_{\mathrm{max}}\bullet {f}_{\mathrm{HCT}}}{C_{\mathrm{p}}+{K}_{\mathrm{D}}}\right) $$
Equation 1 can be rearranged to calculate the plasma concentrations if the whole blood concentration and fraction hematocrit are known, with the following equation (Eq. 2):
$$ {C}_{\mathrm{p}}=\frac{C_{\mathrm{wb}}-{K}_{\mathrm{D}}-{B}_{\mathrm{max}}\bullet {f}_{\mathrm{HCT}}+\sqrt{{\left({B}_{\mathrm{max}}\bullet {f}_{\mathrm{HCT}}+{K}_{\mathrm{D}}-{C}_{\mathrm{wb}}\right)}^2+4\bullet {C}_{\mathrm{wb}}\bullet {K}_{\mathrm{D}}}}{2} $$

For calculation of the plasma target concentrations we assumed a fHCT of 0.35 L/L in the adult population, based on hematocrit values found in previous studies conducted in adult kidney transplant recipients [14, 26, 27, 28].

Converted plasma target trough concentrations

Subsequently, whole blood target trough concentrations were converted to plasma target trough concentrations using the aforementioned Eq. 2. The target ranges for converted plasma trough concentrations and whole blood trough concentrations with different hematocrit values are shown in Table 1. To further illustrate the influence of hematocrit, a nomograph (Fig. 1) is created using Eq. 2, in which the relationship between whole blood tacrolimus concentrations and plasma tacrolimus concentrations for different hematocrit levels is shown.
Fig. 1

Nomograph of predicted tacrolimus plasma trough concentrations corrected for hematocrit

Converted plasma target AUCs

Whole blood target AUCs cannot be directly converted to plasma target AUCs, due to the non-linear binding of tacrolimus and thus a varying blood-to-plasma ratio during a dosing interval. Therefore, the individual whole blood concentrations on which the target AUCs are based should be converted to plasma concentrations, and subsequently, the plasma target AUC can be calculated. In the literature, however, these individual whole blood concentrations for the AUC targets are not available. Therefore, we simulated the steady-state whole blood pharmacokinetics of tacrolimus in 1000 virtual adult patients, based on a previously validated population pharmacokinetic model for tacrolimus [29] with the software package NONMEM V7.4.1. For calculation of the AUCs, we integrated the predicted whole blood concentrations and plasma concentrations versus time during a 12-h dosing interval for all 1000 individuals. A power trend line fitted our data best (R squared coefficient of 0.93, Supplementary Fig. 1). Subsequently, plasma target AUCs were calculated using the corresponding formula y = 0.0218x1.0772, where y and x represent the plasma target AUC and whole blood target AUC, respectively. The target ranges for whole blood AUCs and converted plasma AUCs are shown in Table 2.
  1. Step 2:

    Derivation of hematocrit corrected trough concentrations and AUCs of the patients

Whole blood trough concentrations of the patients were converted to plasma trough concentrations using the aforementioned Eq. 2. Whole blood AUCs were converted to plasma AUCs by converting the individual concentrations of different time points on which the total AUC0–12 h was based.
  1. Step 3:

    Evaluation of target exposure

Subsequently, whole blood AUCs and trough concentrations of the patients as well as predicted plasma AUCs and trough concentrations of the patients were compared with the corresponding target concentrations.
  1. Step 4:

    Evaluation of differences in interpretation of target exposure


Finally, to evaluate the impact of hematocrit correction in TDM of tacrolimus, differences in the interpretation of target exposure were identified by comparing the evaluation of target exposure for whole blood concentrations with and without hematocrit correction.

Data collection

A validated liquid chromatography-tandem mass spectrometry (LC-MS/MS) bioanalytical assay was used to determine tacrolimus whole blood concentrations. The range of the assay was 1–300 μg/L. Intra-assay precision and accuracy was 3.4%, 2.2%, 3.0% and 102%, 94%, and 94%, respectively, at 3.04, 6.23, and 13.0 μg/L (n = 6), respectively [22, 30]. Furthermore, the following baseline characteristics were collected from the electronic patient records: age at kidney transplantation, gender, ethnicity, time post transplantation, donor type (living or deceased), height, and body weight. In addition, several laboratory data were collected: hematocrit, blood hemoglobin, serum creatinine, and serum urea. The estimated glomerular filtration rate (GFR) was calculated with the adapted Schwartz formula (K × height (cm)/serum creatinine (μmol/L)) with a k value of 36.5 [31]. Variables missing on the day of sampling were obtained by selecting the value closest to this date with a maximum for hematocrit of 2 days.

Data analysis

Baseline variables were summarized using median and interquartile range (IQR). Whole blood trough concentrations were evaluated using the target concentrations according to our local hospital protocol. As shown in Table 1, target concentrations vary with time after transplantation and concomitant immunosuppressive medication [3, 11, 23, 24]. Furthermore, the whole blood AUCs were compared to the AUC0–12 h target range of 210 ± 20% μg h/L up to 6 weeks post-transplantation and 125 ± 20% μg h/L upon 6 weeks post-transplantation (Table 2) [3, 12]. The AUCs0–12 h were calculated using the linear-log trapezoidal method. To adequately compare the individual AUCs to the target AUC, the estimated AUC0–8 h was extrapolated to an AUC0–12 h.


Study population

A total of 37 children (age range 1.8–17.1 years) were eligible for inclusion in this study. One patient was excluded because the closest hematocrit value was 18 days before sampling. Data on a total of 255 tacrolimus whole blood concentrations were available, together providing 36 AUCs. Patient characteristics are presented in Table 3. The AUCs and trough levels were measured at any time post transplantation, predominantly in the first 2 weeks after transplantation. Of note, 33 of the 36 patients (92%) had a lower hematocrit value (median 0.29) than the reference hematocrit value of adult kidney transplant patients of 0.35 L/L on which the current recommendations of the dosing guidelines are based.
Table 3

Patient characteristics


n (%)



Number of study participants



 Age at time of transplantation (years)




  Gender (n)


21 (58)



15 (42)


  Ethnicity (n)


34 (94)



2 (6)


 Time post transplantation (days)






26 (72)



10 (28)


  Height (cm)




  Total body weight (kg)




  Laboratory measurements

   Hematocrit (l/l)




   Blood hemoglobin (mmol/l)




   Serum creatinine (μmol/l)




   Serum urea (mmol/l)




   eGFR (ml/min/1.73 m2)




eGFR estimated glomerular filtration rate

Step 1 and 2

For every individual patient, a whole blood AUC0–12 h (range 62–354 h μg/L) and whole blood trough concentration (range 2.0–25.7 μg/L) were converted to the corresponding plasma AUC0-12h (range 2.0–16.0 h μg/L) and plasma trough concentration (range 0.06–1.02 μg/L). Figure 2 shows the target AUCs and target trough concentrations, whole blood and predicted plasma AUC0–12 h, and whole blood and predicted plasma trough concentration of the individual patient.
Fig. 2

Whole blood and predicted plasma AUCs0–12 h and trough concentrations compared to the target whole blood and predicted target plasma concentrations

Step 3

Furthermore, Fig. 2 shows the evaluation of the AUCs and trough concentrations of the patients when compared to the corresponding target whole blood and predicted plasma ranges. Of the whole blood AUCs, 69% (25/36) were outside the target range, compared to 58% (21/36) of the whole blood trough concentrations. For the predicted plasma AUCs and trough concentrations, similar numbers were found (69% and 61%, respectively).

Step 4

Using the hematocrit corrected target levels, a different evaluation for target exposure for either the trough level, AUC or both, was defined in a total of 42% (15/36) of our pediatric kidney transplant patients. In Table 4, the number of whole blood and predicted plasma values in and out of range are shown. For the AUCs, a different evaluation of target exposure was found in 22% (8/36) of the cases. For the trough concentrations, a different evaluation was shown in 33% (12/36) of the patients.
Table 4

Number of whole blood and predicted plasma AUCs and trough concentrations in and out of range


AUC0–12 h wb in range

AUC0–12 h wb out of range

C0 wb in range

C0 wb out of range

Plasma—in range





Plasma—out of range










AUC area under the concentration time curve, C0 trough concentration, wb whole blood


Tacrolimus is a key immunosuppressive agent in the majority of pediatric kidney transplant patients. This study shows the importance of hematocrit correction in tacrolimus target evaluation in this population. Using hematocrit corrected target concentrations, a different interpretation of tacrolimus exposure was found in 42% of our patients. As tacrolimus has a narrow therapeutic index, indicating that small variations in drug exposure can have a relevant impact on graft survival and toxicity, the results of this study suggest that using hematocrit corrected targets could prevent incorrect dose adjustments of tacrolimus based on whole blood concentrations. As the majority of our patients had a lower hematocrit value than the reference value of adult kidney transplant patients of 0.35 L/L, which causes an underestimation of the pharmacologically active concentration, toxicity in particular may be prevented.

Currently, therapeutic target ranges for tacrolimus exposure in pediatric kidney transplant patients are based on empirical observations in adult transplant patients, as reference values based on clinical trials in pediatric patients are lacking [3, 12]. Especially at the time of kidney transplantation, hematocrit values are generally low and tend to change significantly in the first months after transplantation. This underlines the need to take this into account in the TDM of kidney transplant patients [14, 20]. Moreover, this study shows that in our population hematocrit levels are significantly decreased and effort should be made to adequately correct hematocrit in these patients.

The importance of hematocrit correction in adult kidney transplant patients has been highlighted previously [14, 27, 32]. Størset et al. developed a population pharmacokinetic model for tacrolimus dosing in kidney transplant patients and recommend to standardize tacrolimus whole blood concentrations to a hematocrit of 45% to reflect the unbound (active) drug more closely, showing that hematocrit is a confounder and not a covariate for tacrolimus pharmacokinetics [14, 27]. Furthermore, a pharmacokinetic study conducted by De Jonge et al. indicated that hematocrit explained 4–14% of variability in tacrolimus pharmacokinetic parameters [32].

The challenge for clinicians to attain the optimal target exposure in the individual patient after kidney transplantation has been previously described by Ekberg et al. and Størset et al., who found 50% and 42%, respectively, of tacrolimus trough concentrations outside the target range during the first 6–8 weeks post transplantation [14, 33]. Our data show even higher percentages of AUCs and trough concentrations outside the proposed target range, underlining the large inter-individual variability and challenge for clinicians to attain the optimal target concentration.

To our knowledge, this is the first study investigating the role of hematocrit in the interpretation of tacrolimus whole blood exposure in pediatric kidney transplant patients in clinical practice. As the optimal strategy for TDM is still under debate, both AUC and trough concentrations are currently used in the clinical setting. Reported correlations between tacrolimus AUC and trough concentration are variable, indicating that trough concentrations alone may be a poor predictor of exposure [34]. A pharmacokinetic study previously conducted in a small subset of our study population, recommends the use of AUC as a driver for dose adaptations rather than trough concentrations in very young pediatric kidney transplant patients [22]. One of the strengths of this study is that both AUC and trough concentrations were evaluated to make the results as broadly applicable as possible. Unfortunately, there is no consensus among transplant centers on the optimal tacrolimus target exposure [1]. The target concentrations in our center are based on European consensus guidelines [3]; however, as target concentrations vary among centers, the predicted plasma target concentrations should be adjusted according to local clinical practice.

An important limitation of our study is its retrospective design, which may cause information bias. Although the observed whole blood concentrations were evaluated retrospectively, the exact time of dose administration was known in 35/36 of our patients. For one patient, the approximate time of dose administration was recorded in the medical file. As all patients were admitted to the hospital during the time of sampling and medication was administered by the nursing staff, we believe that the adherence to the medication is good and therefore full compliance was presumed. Due to the retrospective design of this study, laboratory values of 15 patients were unavailable on the day of sampling; therefore, these variables were imputed by choosing value closest to the day of sampling with a maximum of 2 days for hematocrit. This, however, is a limitation of our study and ideally all samples would be paired.

In this study, values for the binding capacity (Bmax) and affinity constant (Kd) were obtained from a previously conducted study in adult liver transplant patients [15]. In addition, Zahir et al. found similar values for Bmax and Kd in 40 liver transplant recipients using the same equation [35]. Recently, Størset et al. also used Eq. 2 to estimate the pharmacokinetic disposition parameters to develop a theory-based population pharmacokinetic model of tacrolimus in adult kidney transplant patients [27]. As our study involves pediatric kidney transplant patients, these values should ideally be obtained from this specific population by determination of the blood:plasma ratios of tacrolimus concentrations in pediatric kidney transplant recipients using the equation previously described by Piekoszewski et al. and Jusko et al. [15, 36].

As previously mentioned, the confounding effect of hematocrit variability can have a significant impact on the evaluation of tacrolimus whole blood concentrations as tacrolimus is highly bound to erythrocytes. As 99% of tacrolimus in plasma is bound to proteins, mainly albumin and α-1-acid glycoprotein, this could hold true for variations in albumin concentrations as well [1]. Although previous research showed no influence of albumin on whole blood tacrolimus concentrations in adult kidney transplant patients [14], this should be evaluated in pediatric kidney transplant patients as well. The influence of albumin was not evaluated in the current study, because on the day of sampling albumin concentrations were available for only eight of our patients. Furthermore, due to low patient numbers and tight monitoring, “hard” clinical endpoints (e.g., toxicity, rejection, or infection) could not be identified in our study population.

For pediatric kidney transplant recipients, long-term graft survival is especially important. Clinical trials in pediatric kidney transplant patients to obtain the optimal target exposure are however scarce [3]. As it is difficult to conduct clinical trials with “hard” clinical endpoints in small patient groups, we feel that all available information should be used to optimize TDM in pediatric patients. Although technically challenging, measuring both total and unbound tacrolimus concentrations in the plasma of pediatric kidney transplant patients would be an important opportunity for future research. Nonetheless, as tacrolimus is known to show high affinity for erythrocytes, we advocate a critical role for hematocrit correction in TDM of tacrolimus in pediatric kidney transplant patients. We consider the current study a proof-of-concept that hematocrit correction may be of added value in dose individualization of tacrolimus, especially in the pediatric population. In future studies, therefore, effort should be made to characterize Bmax and Kd in pediatric kidney transplant patients and to prospectively investigate the impact of hematocrit correction on clinical endpoints.


Authors’ contributions

RtH was responsible for the design of the study. AS and FvH acquired the data for the study and wrote the initial draft of the manuscript. MC, CB, and MS gathered detailed clinical information. AS, FvH, MS, and RtH analyzed and interpreted the data. Critical revision of the manuscript for important intellectual content was done by MC, CB, RB, DB, SdW MS, and RtH. All authors critically reviewed the article, have indicated they have no potential conflicts of interest to disclose, approved the final manuscript as submitted, and take full responsibility for the manuscript.


This study was funded by the Dutch Kidney Foundation (grant number 15OKG16).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Supplementary material

467_2018_4117_Fig3_ESM.png (227 kb)
Supplementary Figure 1

Simulation whole blood AUCs and corresponding plasma AUCs (PNG 227 kb)

467_2018_4117_MOESM1_ESM.tif (129 kb)
High Resolution Image (TIF 128 kb)


  1. 1.
    Staatz CE, Tett SE (2004) Clinical pharmacokinetics and pharmacodynamics of tacrolimus in solid organ transplantation. Clin Pharmacokinet 43:623–653CrossRefGoogle Scholar
  2. 2.
    Krischock LA, van Stralen KJ, Verrina E, Tizard EJ, Bonthuis M, Reusz G, Hussain FK, Jankauskiene A, Novljan G, Spasojevic-Dimitrijeva B, Podracka L, Zaller V, Jager KJ, Schaefer F, ESPN/ERA-EDTA Registry (2016) Anemia in children following renal transplantation-results from the ESPN/ERA-EDTA Registry. Pediatr Nephrol 31:325–333. CrossRefPubMedGoogle Scholar
  3. 3.
    Wallemacq P, Armstrong VW, Brunet M, Haufroid V, Holt DW, Johnston A, Kuypers D, Le Meur Y, Marquet P, Oellerich M, Thervet E, Toenshoff B, Undre N, Weber LT, Westley IS, Mourad M (2009) Opportunities to optimize tacrolimus therapy in solid organ transplantation: report of the European consensus conference. Ther Drug Monit 31:139–152. CrossRefPubMedGoogle Scholar
  4. 4.
    Laskow DA, Vincenti F, Neylan JF, Mendez R, Matas AJ (1996) An open-label, concentration-ranging trial of FK506 in primary kidney transplantation: a report of the United States Multicenter FK506 Kidney Transplant Group. Transplantation 62:900–905CrossRefGoogle Scholar
  5. 5.
    Barraclough KA, Isbel NM, Kirkpatrick CM, Lee KJ, Taylor PJ, Johnson DW, Campbell SB, Leary DR, Staatz CE (2011) Evaluation of limited sampling methods for estimation of tacrolimus exposure in adult kidney transplant recipients. Br J Clin Pharmacol 71:207–223. CrossRefPubMedPubMedCentralGoogle Scholar
  6. 6.
    Zhao W, Elie V, Roussey G, Brochard K, Niaudet P, Leroy V, Loirat C, Cochat P, Cloarec S, Andre JL, Garaix F, Bensman A, Fakhoury M, Jacqz-Aigrain E (2009) Population pharmacokinetics and pharmacogenetics of tacrolimus in de novo pediatric kidney transplant recipients. Clin Pharmacol Ther 86:609–618. CrossRefPubMedGoogle Scholar
  7. 7.
    Andrews LM, Hesselink DA, van Gelder T, Koch BCP, Cornelissen EAM, Bruggemann RJM, van Schaik RHN, de Wildt SN, Cransberg K, de Winter BCM (2017) A population pharmacokinetic model to predict the individual starting dose of tacrolimus following pediatric renal transplantation. Clin Pharmacokinet.
  8. 8.
    Prytula AA, Cransberg K, Bouts AH, van Schaik RH, de Jong H, de Wildt SN, Mathot RA (2016) The effect of weight and CYP3A5 genotype on the population pharmacokinetics of tacrolimus in stable paediatric renal transplant recipients. Clin Pharmacokinet 55:1129–1143. CrossRefPubMedGoogle Scholar
  9. 9.
    de Wildt SN, van Schaik RH, Soldin OP, Soldin SJ, Brojeni PY, van der Heiden IP, Parshuram C, Nulman I, Koren G (2011) The interactions of age, genetics, and disease severity on tacrolimus dosing requirements after pediatric kidney and liver transplantation. Eur J Clin Pharmacol 67:1231–1241. CrossRefPubMedPubMedCentralGoogle Scholar
  10. 10.
    Kim JS, Aviles DH, Silverstein DM, Leblanc PL, Matti Vehaskari V (2005) Effect of age, ethnicity, and glucocorticoid use on tacrolimus pharmacokinetics in pediatric renal transplant patients. Pediatr Transplant 9:162–169. CrossRefPubMedGoogle Scholar
  11. 11.
    Schiff J, Cole E, Cantarovich M (2007) Therapeutic monitoring of calcineurin inhibitors for the nephrologist. Clin J Am Soc Nephrol 2:374–384. CrossRefPubMedGoogle Scholar
  12. 12.
    Scholten EM, Cremers SC, Schoemaker RC, Rowshani AT, van Kan EJ, den Hartigh J, Paul LC, de Fijter JW (2005) AUC-guided dosing of tacrolimus prevents progressive systemic overexposure in renal transplant recipients. Kidney Int 67:2440–2447. CrossRefPubMedGoogle Scholar
  13. 13.
    Wallemacq PE, Verbeeck RK (2001) Comparative clinical pharmacokinetics of tacrolimus in paediatric and adult patients. Clin Pharmacokinet 40:283–295. CrossRefPubMedGoogle Scholar
  14. 14.
    Storset E, Holford N, Midtvedt K, Bremer S, Bergan S, Asberg A (2014) Importance of hematocrit for a tacrolimus target concentration strategy. Eur J Clin Pharmacol 70:65–77. CrossRefPubMedGoogle Scholar
  15. 15.
    Jusko WJ, Piekoszewski W, Klintmalm GB, Shaefer MS, Hebert MF, Piergies AA, Lee CC, Schechter P, Mekki QA (1995) Pharmacokinetics of tacrolimus in liver transplant patients. Clin Pharmacol Ther 57:281–290. CrossRefPubMedGoogle Scholar
  16. 16.
    Hebert MF, Zheng S, Hays K, Shen DD, Davis CL, Umans JG, Miodovnik M, Thummel KE, Easterling TR (2013) Interpreting tacrolimus concentrations during pregnancy and postpartum. Transplantation 95:908–915. CrossRefPubMedPubMedCentralGoogle Scholar
  17. 17.
    Machida M, Takahara S, Ishibashi M, Hayashi M, Sekihara T, Yamanaka H (1991) Effect of temperature and hematocrit on plasma concentration of FK 506. Transplant Proc 23:2753–2754PubMedGoogle Scholar
  18. 18.
    Undre NA, Schafer A (1998) Factors affecting the pharmacokinetics of tacrolimus in the first year after renal transplantation. European Tacrolimus Multicentre Renal Study Group. Transplant Proc 30:1261–1263CrossRefGoogle Scholar
  19. 19.
    Zheng S, Easterling TR, Umans JG, Miodovnik M, Calamia JC, Thummel KE, Shen DD, Davis CL, Hebert MF (2012) Pharmacokinetics of tacrolimus during pregnancy. Ther Drug Monit 34:660–670. CrossRefPubMedPubMedCentralGoogle Scholar
  20. 20.
    Malyszko J, Oberbauer R, Watschinger B (2012) Anemia and erythrocytosis in patients after kidney transplantation. Transpl Int 25:1013–1023. CrossRefPubMedGoogle Scholar
  21. 21.
    Larkins N, Matsell DG (2014) Tacrolimus therapeutic drug monitoring and pediatric renal transplant graft outcomes. Pediatr Transplant 18:803–809. CrossRefPubMedGoogle Scholar
  22. 22.
    Martial LC, Verstegen RH, Cornelissen EA, Aarnoutse RE, Schreuder MF, Bruggemann RJ (2016) A preliminary study searching for the right dose of tacrolimus in very young (</=4 years) renal transplant patients. J Pharm Pharmacol 68:1366–1372. CrossRefPubMedGoogle Scholar
  23. 23.
    Grenda R, Watson A, Vondrak K, Webb NJ, Beattie J, Fitzpatrick M, Saleem MA, Trompeter R, Milford DV, Moghal NE, Hughes D, Perner F, Friman S, Van Damme-Lombaerts R, Janssen F (2006) A prospective, randomized, multicenter trial of tacrolimus-based therapy with or without basiliximab in pediatric renal transplantation. Am J Transplant 6:1666–1672. CrossRefPubMedGoogle Scholar
  24. 24.
    Montini G, Ujka F, Varagnolo C, Ghio L, Ginevri F, Murer L, Thafam BS, Carasi C, Zacchello G, Plebani M (2006) The pharmacokinetics and immunosuppressive response of tacrolimus in paediatric renal transplant recipients. Pediatr Nephrol 21:719–724. CrossRefPubMedGoogle Scholar
  25. 25.
    Grenda R, Watson A, Trompeter R, Tonshoff B, Jaray J, Fitzpatrick M, Murer L, Vondrak K, Maxwell H, van Damme-Lombaerts R, Loirat C, Mor E, Cochat P, Milford DV, Brown M, Webb NJ (2010) A randomized trial to assess the impact of early steroid withdrawal on growth in pediatric renal transplantation: the TWIST study. Am J Transplant 10:828–836. CrossRefPubMedGoogle Scholar
  26. 26.
    Moes DJ, Press RR, den Hartigh J, van der Straaten T, de Fijter JW, Guchelaar HJ (2012) Population pharmacokinetics and pharmacogenetics of everolimus in renal transplant patients. Clin Pharmacokinet 51:467–480. CrossRefPubMedGoogle Scholar
  27. 27.
    Storset E, Holford N, Hennig S, Bergmann TK, Bergan S, Bremer S, Asberg A, Midtvedt K, Staatz CE (2014) Improved prediction of tacrolimus concentrations early after kidney transplantation using theory-based pharmacokinetic modelling. Br J Clin Pharmacol 78:509–523CrossRefGoogle Scholar
  28. 28.
    de Jonge H, Vanhove T, de Loor H, Verbeke K, Kuypers DR (2015) Progressive decline in tacrolimus clearance after renal transplantation is partially explained by decreasing CYP3A4 activity and increasing haematocrit. Br J Clin Pharmacol 80:548–559. CrossRefPubMedPubMedCentralGoogle Scholar
  29. 29.
    Benkali K, Premaud A, Picard N, Rerolle JP, Toupance O, Hoizey G, Turcant A, Villemain F, Le Meur Y, Marquet P, Rousseau A (2009) Tacrolimus population pharmacokinetic-pharmacogenetic analysis and Bayesian estimation in renal transplant recipients. Clin Pharmacokinet 48:805–816. CrossRefPubMedGoogle Scholar
  30. 30.
    Hoogtanders K, van der Heijden J, Christiaans M, Edelbroek P, van Hooff JP, Stolk LM (2007) Therapeutic drug monitoring of tacrolimus with the dried blood spot method. J Pharm Biomed Anal 44:658–664. CrossRefPubMedGoogle Scholar
  31. 31.
    Schwartz GJ, Munoz A, Schneider MF, Mak RH, Kaskel F, Warady BA, Furth SL (2009) New equations to estimate GFR in children with CKD. J Am Soc Nephrol 20:629–637. CrossRefPubMedPubMedCentralGoogle Scholar
  32. 32.
    de Jonge H, de Loor H, Verbeke K, Vanrenterghem Y, Kuypers DR (2012) In vivo CYP3A4 activity, CYP3A5 genotype, and hematocrit predict tacrolimus dose requirements and clearance in renal transplant patients. Clin Pharmacol Ther 92:366–375. CrossRefPubMedGoogle Scholar
  33. 33.
    Ekberg H, Mamelok RD, Pearson TC, Vincenti F, Tedesco-Silva H, Daloze P (2009) The challenge of achieving target drug concentrations in clinical trials: experience from the symphony study. Transplantation 87:1360–1366. CrossRefPubMedGoogle Scholar
  34. 34.
    Staatz CE, Tett SE (2015) Clinical pharmacokinetics of once-daily tacrolimus in solid-organ transplant patients. Clin Pharmacokinet 54:993–1025. CrossRefPubMedGoogle Scholar
  35. 35.
    Zahir H, McCaughan G, Gleeson M, Nand RA, McLachlan AJ (2004) Factors affecting variability in distribution of tacrolimus in liver transplant recipients. Br J Clin Pharmacol 57:298–309CrossRefGoogle Scholar
  36. 36.
    Piekoszewski W, Jusko WJ (1993) Plasma protein binding of tacrolimus in humans. J Pharm Sci 82:340–341CrossRefGoogle Scholar

Copyright information

© The Author(s) 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Anne M. Schijvens
    • 1
    Email author
  • Fransje H. S. van Hesteren
    • 1
  • Elisabeth A. M. Cornelissen
    • 1
  • Charlotte M. H. H. T. Bootsma-Robroeks
    • 1
  • Roger J. M. Brüggemann
    • 2
  • David M. Burger
    • 2
  • Saskia N. de Wildt
    • 3
    • 4
  • Michiel F. Schreuder
    • 1
  • Rob ter Heine
    • 2
  1. 1.Radboud Institute for Molecular Life Sciences, Department of Pediatric NephrologyRadboud University Medical Center, Amalia Children’s HospitalNijmegenThe Netherlands
  2. 2.Radboud Institute for Health Sciences, Department of PharmacyRadboud University Medical CenterNijmegenThe Netherlands
  3. 3.Department of Pharmacology and ToxicologyRadboud University Medical CenterNijmegenThe Netherlands
  4. 4.Intensive Care and Department of Pediatric SurgeryErasmus MC Sophia Children’s HospitalRotterdamThe Netherlands

Personalised recommendations