Literature DB >> 29180612

Clinical Implication of Mycophenolic Acid Trough Concentration Monitoring in Kidney Transplant Patients on a Tacrolimus Triple Maintenance Regimen: A Single-Center Experience.

Jinsoo Rhu1, Kyo Won Lee1, Hyojun Park1, Jae Berm Park1, Sung Joo Kim1, Gyu Seong Choi1.   

Abstract

BACKGROUND This study was designed to analyze the clinical implications of mycophenolic acid trough concentration monitoring. MATERIAL AND METHODS We collected data of patients with mycophenolic acid trough concentration monitoring after their first kidney transplant between November 2006 and March 2015 who were prescribed tacrolimus, mycophenolate, and methylprednisolone. Analyses were performed on 3 periods: 1 month, 1 month to 1 year, and after 1 year post-transplantation. To analyze factors related to acute cellular rejection, logistic regression was used for 1 month, while Cox analysis was used during 1 month to 1 year and after 1 year post-transplantation. RESULTS In the 145 patients receiving mycophenolate mofetil, mean tacrolimus trough ≥7.0 ng/mL (OR=0.177, CI=0.060-0.524, p=0.002) and mean mycophenolic acid trough ≥1.7 mg/L (OR=0.190, CI=0.040-0.896, p=0.036) were protective for rejection during 1 month. Mean mycophenolic acid trough ≥1.7 mg/L (HR=0.179, CI=0.040-0.806, p=0.025) and ≥0.7 mg/L (HR=0.142, CI=0.028-0.729, p=0.019) were related to better rejection-free survival during 1 month to 1 year and after 1 year, respectively. In 399 patients receiving enteric-coated mycophenolate sodium, mean tacrolimus trough ≥7.0 ng/mL (OR=0.258, CI=0.131-0.507, p<0.001) and mean mycophenolic acid trough ≥2.1 mg/L (OR=0.507, CI=0.264-0.973, p=0.041) were protective for rejection during 1 month. Mean mycophenolic acid trough ≥1.7 mg/L (HR=0.519, CI=0.289-0.932, p=0.028) and ≥0.7 mg/L (HR=0.208, CI=0.072-0.602, p=0.004) were related to better rejection-free survival during 1 month to 1 year and after 1 year, respectively. CONCLUSIONS Mycophenolic acid trough concentration monitoring can be useful in preventing acute cellular rejection in patients receiving tacrolimus, mycophenolate, and methylprednisolone.

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Year:  2017        PMID: 29180612      PMCID: PMC6248041          DOI: 10.12659/aot.906041

Source DB:  PubMed          Journal:  Ann Transplant        ISSN: 1425-9524            Impact factor:   1.530


Background

In kidney transplantation (KT), multiple drugs are used for optimal immunosuppression with lower toxicities. Along with calcineurin inhibitors (CNIs; tacrolimus and cyclosporine A) and corticosteroids, mycophenolate (mycophenolate mofetil and enteric-coated mycophenolate sodium) is also a key component of the triple immunosuppressive regimen for maintenance. Mycophenolate mofetil (MMF) is an inactive prodrug that is converted to its active metabolite, mycophenolic acid (MPA), by intestinal, liver, and plasma esterase, after absorption. MPA acts as a reversible inhibitor of inosine-5′-monophosphate dehydrogenase, which is an enzyme that functions in lymphocyte mitosis. MPA is metabolized to 7-O-MPA-glucuronide (MPAG) in the liver and intestine by UDP-glucuronyltransferase. MPAG is an inactive metabolite that is excreted through urine and bile. Some of the excreted MPAG in bile can be hydrolyzed by bacterial glucuronidase and reabsorbed as MPA though the enterohepatic recirculation [1]. Enteric-coated mycophenolate sodium (EC-MPS), which is a sodium salt of MPA, is another formulation that acts as a prodrug. It has been designed to delay the release of MPA until it reaches the small bowel, improving the MPA-related gastrointestinal adverse reaction. EC-MPS remains intact in the stomach, while it becomes highly soluble in the neutral pH of the small intestine [2]. Although MMF has a less variable pharmacokinetic profile than CNIs, research has shown that MMF possesses wide inter-patient and intra-patient variability over time [3]. These features are mainly due to its complex pharmacokinetics, which are influenced by kidney function, liver function, serum albumin level, alterations in absorption, and combinations with other drugs [4]. The pharmacokinetic profile of EC-MPS is different from that of MMF. While the maximum MPA plasma level occurs within 0.5 to 2 hours after MMF intake, EC-MPS needs 2 to 3 hours to reach its maximum level [1]. Monitoring methods are also a topic of interest. While monitoring the MPA AUC0–12 (area under the concentration-time curve) was significantly associated with clinical events [5-7], technical difficulties in utilization have been a barrier to its wide acceptance in clinical practice. Some investigators have published data on the efficacy of using limited sampling strategies or a single concentration such as the trough concentration. Such results have not been consistent among studies, showing the limited efficacies of these methods [7-12]. The transplantation society consensus meeting suggested that therapeutic drug monitoring of MPA can be of advantage in high-risk patients, patients with delayed graft function, or patients with immunosuppressive protocols excluding induction therapy or steroids or CNI or patients with CNI minimization [13]. In fact, MPA monitoring is only used in a few centers, whereas a few others only in case of unexpected rejection or adverse event [14]. Our center started monitoring plasma MPA trough concentration in 2006. After transplanting more than 2000 kidneys with 10 years of experience in MPA trough concentration monitoring, we designed this study to analyze the dose-concentration relationship of mycophenolate and MPA and the clinical implications of MPA trough concentration.

Material and Methods

Patients

We retrospectively reviewed data from our prospectively maintained KT database of Korean adult patients who underwent MPA trough concentration monitoring after their first KT at Samsung Medical Center between November 2006 and March 2015. Low-risk patients who received the triple maintenance regimen of tacrolimus, mycophenolate (either MMF or EC-MPS), and methylprednisolone were included. Exclusion criteria were as follows: patients who experienced desensitization prior to KT; patients who underwent induction therapy with daclizumab, alemtuzumab, rituximab, or more than 3 days of thymoglobulin; previous history of KT; multiorgan transplantation; ABO incompatible transplantation; positivity for donor-specific antibody; pediatric patients; cessation of main regimen within 1 month after KT; and other factors related to high-risk KT.

Immunosuppression

Patients received tacrolimus, mycophenolate, and methylprednisolone as a triple immunosuppressive regimen. Induction therapy was performed with either basiliximab or 3 days of thymoglobulin. For therapeutic monitoring of tacrolimus, the tacrolimus trough level was monitored and the dosage was adjusted to maintain a target concentration of 8 to 10 ng/mL during 1 month post-KT, 5 to 8 ng/mL during 1 month to 1 year, and 3 to 7 ng/mL afterward. Patients received either MMF or EC-MPS, and dosages were adjusted to maintain a target MPA trough concentration of 1.5 to 2.5 mg/L during 1 year post-KT [13,15]. Target concentration was lowered after 1 year post-KT to maintain above 1.0 mg/L. Methylprednisolone was tapered and withdrew as a protocol in average of 3 month post-KT. Monitoring of MPA trough concentration was performed routinely alongside with tacrolimus trough concentration. Both whole blood tacrolimus trough concentration and plasma MPA trough concentration were monitored by high-performance liquid chromatography with tandem mass spectrometry. During admission for drug level adjustment, monitoring was performed several times. When patients visited the outpatient clinic, MPA trough concentration was measured along with other laboratory tests.

Data collection

Demographic data including gender, age at transplantation, and the height and weight of both donor and recipient were collected. Background information on the KT, such as mode of renal replacement therapy, time of renal replacement, cause of renal failure, human leukocyte antigen (HLA) mismatch, donor serum creatinine, donor-recipient relationship, cause of cadaveric donor death, panel reactive antibody status, and CMV status were collected. Data on episodes of acute cellular rejection based on Banff criteria, episodes of gastrointestinal complications (diarrhea and gastritis), episodes of cytopenia (anemia, neutropenia, and thrombocytopenia), episodes of infection (BK virus, cytomegalovirus, pneumonia, urinary tract infection, influenza, invasive fungal infection, Pneumocystis jiroveci infection, tuberculosis, and other infections), graft failures, and deaths were collected. Data on the daily dosages of MMF and EC-MPS, tacrolimus trough concentrations, and MPA trough concentrations were collected.

Data analysis

As the target level of tacrolimus and MPA trough concentration changes with time after KT, analyses were performed separately based on the 3 different follow-up periods: within 1 month, 1 month to 1 year, and after 1 year post-KT. The mean dosage of mycophenolate (MMF or EC-MPS), mean MPA trough levels, and tacrolimus trough levels were calculated using Excel (Microsoft, Redmond, WA). Mean dosages were calculated to determine the mean daily exposure to the drug from the date of KT to the time point of interest. For example, the mean dosage of mycophenolate during 1 month to 1 year was calculated using data from 1 month post-KT to 1 year post-KT. A paired t-test was used to analyze the changes in mean MPA trough levels and tacrolimus trough levels between the consecutive follow-up periods. Simple linear regression was used to analyze the correlation between the dosage of mycophenolate (MMF or EC-MPS) and the mean MPA trough levels of each follow-up period, while calculating the intercept and coefficient. To analyze the risk factors for BPAR within 1 month post-KT, multivariable logistic regression analysis was performed to identify the best fit model, whereas the multivariable Cox proportional hazard ratio was used to analyze factors related to BPAR between 1 month to 1 year post-KT and after 1 year post-KT. For the Cox regression analyses of 2 periods, BPAR was set as an end point. Cessation of tacrolimus, cessation of mycophenolate for longer than 3 months, and cessation of MPA monitoring were censored in the analysis. The analyses for risk factors of BPAR were performed separately for MMF and EC-MPS. For the analysis, continuous variables were divided into 2 groups. Recipient and donor age was divided by 40 years of age. Both recipient and donor body mass index (BMI) were classified as greater than or less than 21 kg/m2. HLA status was classified as matched or mismatched. Mean tacrolimus trough levels were divided based on whether they were greater than or less than 7 ng/mL, 5 ng/mL, and 5 ng/mL for 1 month, 1 month to 1 year, after 1 year post-KT, respectively. Mean MPA trough levels were divided on the point where they showed the highest sensitivity and specificity for predicting BPAR. Consequently, patients receiving MMF were divided based on 1.7 mg/L for 1 month, 1.7 mg/L for 1 month to 1 year, and 0.7 mg/L for after 1 year, while patients receiving EC-MPS were divided based on 2.1 mg/L for 1 month, 1.7 mg/L for 1 month to 1 year, and 0.7 mg/L for after 1 year. P-values <0.05 were used to indicate statistical significance. Statistical analyses were performed with SPSS 18.0 (SPSS Inc., Chicago, IL). This study was approved by the Institutional Review Board of Samsung Medical Center (IRB No. 2016-12-056).

Results

Table 1 summarizes the demographic information, immunosuppressive features, and clinical outcomes of the patients. We included 555 patients, including 334 males (60.2%) and 221 females (39.8%). The mean recipient age and donor age were 47.25±12.48 years and 45.00±14.88 years, respectively. Diabetic nephropathy (n=101, 18.2%), IgA nephropathy (n=80, 14.4%), and hypertensive nephropathy (n=70, 12.6%) were the 3 most common causes of renal failure. HLA was matched in 70 patients (12.6%), while the mean number of HLA mismatches was 2.89±1.57 per patient. The mean donor serum creatinine level was 1.26±0.98 mg/dL. There were 225 cases (40.5%) that were a living-related relationship, while 107 (19.3%) were living-unrelated cases. There were 223 (40.2%) cadaveric donors, and the most common cause of cadaveric donor death was cerebrovascular accident (n=115, 51.6%), followed by hypoxic brain damage (n=54, 24.2%), trauma (n=44, 19.7%), and others (n=10, 4.5%). MMF was used in 145 patients (26.1%), while EC-MPS was used in 399 patients (71.9%). Eleven patients (2.0%) switched from MMF to EC-MPS or from EC-MPS to MMF. Basiliximab was used in 438 patients (78.9%), while thymoglobulin was used in 116 patients (20.9%) for 3 days.
Table 1

Patient demographics, immunosuppressive regimens, and clinical outcomes of low risk kidney transplantation patients who received a triple maintenance regimen of tacrolimus, mycophenolic acid, and methylprednisolone.

FactorsNo. patients or Mean ± SDPercentages (%)
Age (years), mean ±SD47.25±12.48

Sex (M/F)334/22160.2/39.8

BMI(kg/m2), mean ±SD23.03±3.54

Renal replacement therapy
 Hemodialysis37868.1
 Peritoneal dialysis9016.2
 No dialysis8787

Time on renal replacement (days), mean ±SD1563±1438

Underlying kidney disease
 Diabetic nephropathy10118.2
 IgA nephropathy8014.4
 Focal segmental glomerulosclerosis91.6
 Other glomerulonephritis6611.9
 Polycystic kidney disease274.9
 Hypertensive nephropathy7012.6
 Others295.2
 Unknown17331.2

HLA-A, HLA-B, HLA-DR mismatches (mm), n
 0 mm7012.6
 1 mm335.9
 2 mm8916.0
 3 mm15527.9
 4 mm12522.5
 5 mm7012.6
 6 mm132.3

HLA mm per patient, mean ±SD2.89±1.57

Donor age (years), mean ± SD45.00±14.88

Donor sex (M/F)308/24755.5/45.5

Donor BMI, mean ± SD24.26±3.43

Donor serum creatinine(mg/dL), mean ± SD1.26±0.98

Donor-recipient relationship, n
 Living-related22540.5
 Living-unrelated10719.3
 Cadaveric donor22340.2

Cause of cadaveric donor death, n
 Cerebrovascular accident11551.6
 Trauma4419.7
 Hypoxic brain damage5424.2
 Other104.5

Panel reactive antibody
 0%45181.3
 1–49%7713.9
 ≥50%152.7

Donor/receptor CMV status, n
 Positive/positive50490.8
 Positive/negative142.5
 Negative/positive213.8
 Negative/negative00.0

Drug
 Mycophenolate mofetil14526.1
 Enteric-coated mycophenolate sodium39971.9
 Switching from either drug112.0

Induction therapy
 Basiliximab43878.9
 Thymoglobulin only up to 3 days11620.9
 None10.2

Biopsy proven Rejection19234.6
 Within 1 month7613.7
 1 month to 1 year6311.4
 After 1 year539.5

Gastrointestinal complication
 Diarrhea386.8
 Gastritis478.5

Cytopenia
 Anemia40.7
 Neutropenia8815.9
 Thrombocytopenia10.2

Infection
 BK virus22941.3
 Cytomegalovirus26046.8
 Pneumonia346.1
 Urinary tract injection7914.2
 Influenza61.1
 Invasive fungal infection30.5
 Pneumocystis jiroveci10.2
 Tuberculosis112.0
 Others11520.7

MPA monitor duration (months), mean ±SD34.23±20.84

Number of tacrolimus tests, median (IQR)
 Within 1 month17 (6)
 1 month to 1 year per month1.90 (1.82)
 After 1 year per month1.29 (1.37)

Number of MPA tests, median (IQR)
 Within 1 month5 (2)
 1 month to 1 year per month1.36 (0.45)
 After 1 year per month0.82 (0.61)

Graft failure254.5

Death81.4

SD – standard deviation; BMI – body mass index; HLA – human leukocyte antigen; CMV – cytomegalovirus; MPA – mycophenolic acid.

BPAR occurred in 192 patients (34.6%). Diarrhea and gastritis occurred in 38 patients (6.8%) and 47 patients (8.5%), respectively. Most episodes of cytopenia were neutropenia (n=88, 15.9%), while there were 4 anemias and 1 thrombocytopenia. The most common infections were cytomegalovirus (n=260, 46.8%) and BK polyoma virus (n=229, 41.3%). Mean MPA trough monitoring duration was 34.23±20.84 months. Graft failure occurred in 25 patients (4.5%), and death occurred in 8 patients (1.4%).

Mean trough concentrations of tacrolimus and MPA

The mean tacrolimus trough levels were 8.37±1.56, 7.39±1.37, and 6.40±1.38 ng/mL during the follow-up periods of 1 month, 1 month to 1 year, and after 1 year post-KT, respectively. (Table 2) As the target levels decreased from 8 to 10 ng/mL during 1 month post-KT to 5 to 8 ng/mL during 1 month to 1 year post-KT and to 3 to 7 ng/mL afterward, the mean tacrolimus trough levels decreased. Paired t-tests showed significant differences in mean tacrolimus trough levels between 1 month and 1 month to 1 year post-KT and between 1 month to 1 year and after 1 year post-KT (p<0.001, both).
Table 2

Mean trough levels of FK and MPA categorized by treatment period of 1 month, 1 month to 1 year, and >1 year analyzed by paired t-test.

Drug levels by periodDrug levelsp-value
Tacrolimus trough, mean ±SD (ng/mL)
 Within 1 month8.37±1.56
 1 month to 1 year7.39±1.37<0.001
 After 1 year6.40±1.38<0.001

MPA trough, mean ±SD (mg/L)
 Within 1 month2.15±1.51
 1 month to 1 year2.46±1.29<0.001
 After 1 year2.35±1.31<0.001

SD – standard deviation

Mean MPA trough levels were 2.15±1.51, 2.46±1.29, and 2.35±1.31 ng/mL during 1 month, 1 month to 1 year, and after 1 year post-KT, respectively. The mean MPA trough level was the highest during 1 month to 1 year post-KT, and a paired t-test showed that the differences were statistically significant between the consecutive periods (p<0.001, both).

Correlation between mycophenolate dosage and mean MPA trough levels

Table 3 summarizes the correlation between dosage and trough levels using simple linear regression analyses. The coefficient was calculated after the MPA trough level was multiplied by 1,000. A total of 8 separate analyses were performed in patients receiving MMF and patients receiving EC-MPS for 1 month, 1 month to 1 year, after 1 year post-KT, and the total follow-up period. The correlations between mean MMF or EC-MPS dosages and mean MPA trough levels during the total period were significant (p=0.002 and p<0.001, respectively). However, there was no correlation between the 2 in patients receiving MMF or patients receiving EC-MPS during 1 month (p=0.161 and p=0.861, respectively). Between 1 month and 1 year and after 1 year post-KT, there were significant correlations between mean dosages and mean trough levels in patients receiving MMF (p<0.001, both) and patients receiving EC-MPS (p<0.001, both). In the 145 patients receiving MMF, the coefficient increased from 0.829 to 1.028. However, in the 399 patients receiving EC-MPS, the coefficient slightly decreased from 1.548 to 1.488. The coefficients were calculated after the mean MPA trough concentration was multiplied by 1000. Figure 1 illustrates the linear regression curve of each treatment period for each group.
Table 3

Mean dosages and mean plasma trough levels of mycophenolic acid, which were prescribed with mycophenolate mofetil (N=145) and enteric-coated mycophenolate sodium (N=399).

PeriodsDosage (mg)MPA trough (mg/L)r2β*p-Value
MMF (N=145)Total1002.291.890.0630.6200.002
Within 1 month1369.711.340.0140.3870.161
1 month to 1 year1085.202.020.1060.829<0.001
After 1 year868.291.980.1251.028<0.001
EC-MPS (N=399)Total713.632.590.0321.022<0.001
Within 1 month1017.102.450.0000.0860.861
1 month to 1 year751.692.560.0621.548<0.001
After 1 year608.712.220.0601.488<0.001

Coefficient was calculated after the MPA trough level was multiplied by 1,000.

MMF – mycophenolate mofetil; EC-MPS – enteric-coated mycophenolate sodium; MPA – mycophenolic acid.

Figure 1

The correlations between mean MMF or EC-MPS dosages and mean MPA trough levels analyzed by simple linear regression. (Aa) patients receiving MMF showed a significant relationship during the total time period (p=0.002). (Ab) While the correlation was not significant within 1 month (p=0.161), (Ac, Ad) 1 month to 1 year and >1 year post-KT showed significant correlations (p<0.001, both). (Ba) patients receiving EC-MPS also showed a significant relationship during the total period (p=0.002). (Bb) There was no correlation within 1 month (p=0.161), (Bc, Bd) but 1 month to 1 year and >1 year post-KT showed a significant correlation (p<0.001, both).

BPAR within 1 month post-KT

Multivariable logistic regression analyses with a backward likelihood ratio test was performed to identify the best fit model for predicting BPAR within 1 month. In patients receiving MMF (N=145), induction therapy with basiliximab (OR=11.524, CI=2.175–61.046, p=0.004) was associated higher risk compared to thymoglobulin, while mean tacrolimus trough concentration ≥7.0 ng/mL (OR=0.177, CI=0.060–0.524, p=0.002) and mean MPA trough concentration ≥1.7 mg/L (OR=0.190, HR=0.040–0.896, p=0.036) were associated with lower risk of BPAR. In patients receiving EC-MPS (N=399), mean tacrolimus trough concentration ≥7.0 ng/mL (OR=0.258, CI=0.131–0.507, p<0.001) and mean MPA trough concentration ≥2.1 mg/L were associated with lower risk of BPAR (Table 4).
Table 4

Multivariable logistic regression models for BPAR within 1 month after kidney transplantation in mycophenolate mofetil users (N=145) and enteric-coated mycophenolate sodium users (N=399).

Independent variableMultivariable logistic regression

No.OR95% CIp-value
MMF (N=145)Induction with 3 days of thymoglobulin320.004
Induction with basiliximab11211.5242.175–61.046

Mean tacrolimus trough (ng/mL)<7.0340.002
≥7.01100.1770.060–0.524

Mean MPA trough (mg/L)<1.71080.036
≥1.7360.1900.040–0.896

EC-MPS (N=399)Mean tacrolimus trough (ng/mL)< 7.057<0.001
≥7.03420.2580.131–0.507

Mean MPA trough (mg/L)<2.12210.041
≥2.11780.5070.264–0.973

BPAR – biopsy-proven acute rejection; MMF – mycophenolate mofetil; EC-MPS – enteric-coated mycophenolate sodium; MPA – mycophenolic acid.

BPAR during 1 month to 1 year post-KT

In patients receiving MMF (N=119), univariable Cox proportional hazard model showed that only mean MPA trough concentration ≥1.7 mg/L was associated with lower risk of BPAR (HR=0.179, CI=0.040–0.806, p=0.025). In patients receiving EC-MPS (N=346), multivariable Cox proportional hazard model showed that mean MPA trough concentration ≥1.7 mg/L was associated with lower risk of BPAR (HR=0.519, CI=0.289–0.932, p=0.028), while donor age ≥40 years was associated with higher risk of BPAR (HR=2.525, CI=1.179–5.407, p=0.017). In both groups, mean tacrolimus trough concentration did not yield any difference in BPAR-free survival (Table 5).
Table 5

Cox proportional hazard model of the risk factors for BPAR during 1 month to 1 year in mycophenolate mofetil users (N=119) and enteric-coated mycophenolate sodium users (N=346).

No.UnivariableMutivariable

HR95% CIpHR95% CIp
MMF (N=119)Recipient age<40380.230
≥40810.5130.172–1.526

Donor age<40440.305
≥40751.9650.541–7.141

Recipient BMI<21400.064
≥21796.8700.893–52.861

Donor BMI<21220.817
≥21971.1940.265–5.390

HLA-A,B,DR mismatch>01020.8480.188–3.8280.830

Induction with 3 days of thymoglobulin290.619
Induction with basiliximab890.7420.228–2.409

Mean tacrolimus trough (ng/mL)<5.070.544
≥5.011222.1270.001–4859

Mean MPA trough (mg/L)<1.7620.025
≥1.7570.1790.040–0.806

EC-MPS (N=346)Recipient age<40930.157
≥402531.6860.818–3.474

Donor age<401140.0080.017
402322.7681.297–5.9052.5251.179–5.407

Recipient BMI<211040.0500.080
≥212422.0621.000–4.2491.9120.926–3.948

Donor BMI<21540.071
≥212922.9370.914–9.445

HLA-A,B,DR mismatch>02962.7260.848–8.7660.092

Induction with 3 days of thymoglobulin740.0100.096
Induction with basiliximab2720.4590.255–0.8270.5980.327–1.095

Mean tacrolimus trough (ng/mL)<5.060.660
5.03400.6410.089–4.647

Mean MPA trough (mg/L)<1.7800.0090.028
≥1.72660.4580.256–0.8200.5190.289–0.932

BPAR – biopsy-proven acute rejection; MMF – mycophenolate mofetil; EC-MPS – enteric-coated mycophenolate sodium; BMI – body mass index; HLA – human leukocyte antigen; MPA – mycophenolic acid.

BPAR after 1 year post-KT

In patients receiving MMF (N=95), univariable Cox proportional hazard model showed that only mean MPA trough concentration ≥0.7 mg/L was associated with lower risk of BPAR (HR=0.142, CI=0.028–0.729, p=0.019). In patients receiving EC-MPS (N=268), multivariable Cox proportional hazard model showed that mean MPA trough concentration ≥0.7 mg/L was associated with lower risk of BPAR (HR=0.208, CI=0.072–0.602, p=0.004), while recipient BMI ≥21 kg/m2 was associated with higher risk of BPAR (HR=0.463, CI=0.240–0.893, p=0.022). Mean tacrolimus trough concentration did not yield any difference in BPAR-free survival for both groups (Table 6).
Table 6

Cox proportional hazard models of the risk factors for BPAR after 1 year post-kidney transplantation in mycophenolate mofetil users (N=95) and enteric-coated mycophenolate sodium users (N=268).

No.UnivariableMutivariable

HR95% CIpHR95% CIp
MMF (N=95)Recipient age<40290.602
≥40661.3640.424–4.385

Donor age<40360.053
≥40594.4230.980–19.957

Recipient BMI<21380.847
≥21570.9010.312–2.599

Donor BMI<21160.312
≥217926.1160.047–14628

HLA-A,B,DR mismatch>0811.8280.237–14.0750.563

Induction with 3 days of thymoglobulin240.724
Induction with basiliximab700.8100.251–2.608

Mean tacrolimus trough (ng/mL)<5.0150.570
≥5.0800.6900.192–2.479

Mean MPA trough (mg/L)<0.760.019
≥0.7890.1420.028–0.729

EC-MPS (N=268)Recipient age<40740.635
≥401941.2020.561–2.575

Donor age<40990.970
≥401690.9870.505–1.932

Recipient BMI<21890.0390.022
≥211790.5060.265–0.9660.4630.240–0.893

Donor BMI<21450.412
≥212231.4910.574–3.872

HLA-A,B,DR mismatch>02242.1340.734–6.2070.164

Induction with 3 days of thymoglobulin480.772
Induction with basiliximab2200.8780.364–2.120

Mean tacrolimus trough (ng/mL)<5.0520.226
≥5.02161.7990.695–4.654

Mean MPA trough (mg/L)<0.7110.0090.004
≥0.72570.2490.088–0.7080.2080.072–0.602

BPAR – biopsy-proven acute rejection; MMF – mycophenolate mofetil; EC-MPS – enteric-coated mycophenolate sodium; BMI – body mass index; HLA – human leukocyte antigen; MPA – mycophenolic acid.

Figures 2 and 3 shows the survival curves of patients receiving MMF and patients receiving EC-MPS, respectively, divided into 2 groups based on a mean MPA trough level of 1.7 mg/L between 1 month to 1 year and 0.7 mg/L after 1 year post-KT.
Figure 2

Univariable Cox analyses show that (A) patients receiving MMF with a mean MPA trough level under 1.7 mg/L demonstrate a significant risk of BPAR-free survival compared to patients with mean MPA trough level over 1.7 mg/L during 1 month to 1 year, and mean MPA trough level under 0.7 mg/L demonstrate a significant risk of BPAR-free survival compared to patients with mean MPA trough level over 0.7 mg/ (B) >1 year after kidney transplantation.

Figure 3

Multivariable Cox analyses show that patients receiving EC-MPS with a mean MPA trough level under 1.7 mg/L demonstrate a significant risk of BPAR-free survival compared to patients with mean MPA trough level over 1.7 mg/L during (A) 1 month to 1 year, and mean MPA trough level under 0.7 mg/L demonstrate a significant risk of BPAR-free survival compared to patients with mean MPA trough level over 0.7 mg/ (B) >1 year after kidney transplantation.

Discussion

This study shows the correlations between mean mycophenolate dosage and mean MPA trough concentrations and between mean MPA trough concentration and BPAR. Mycophenolate has become one of the most important drugs in KT. However, the optimal management for patients receiving mycophenolate has not yet been established [5,6]. Due to its high inter- and intra-patient variability, the need for MPA monitoring has been suggested by many transplant specialists. While AUC0–12 monitoring stands as the best monitoring measure [5,6], applying it in the real world is unrealistic for many clinicians. The effort to determine clinical significance with a limited sampling strategy or single point concentrations was intended to foster the use of this application and to provide quality management for the patients [8-11]. Although published studies with trough concentration monitoring showed conflicting results [16-21], our center started monitoring MPA trough concentrations in November 2006. Over the past 10 years, we have accumulated a great deal of data on MPA trough monitoring. Our study included a large number of patients and was designed as a multivariable study for each follow-up period, taking into account the influence of patient-related factors and immunosuppressants such as tacrolimus, basiliximab, and thymoglobulin. Some institutions still use a fixed-dose regimen of mycophenolate, which was the regimen that was created when MMF was first utilized. Many studies have shown high variability of MPA concentrations during a fixed-dose regimen [3]. Although our study showed significant relationships between mean mycophenolate dosages and MPA concentrations, there are several obstacles to predicting clinical outcomes without monitoring blood levels. First, there were no significant relationships between the mean dosages and mean MPA trough concentrations during a 1 month follow-up period in patients receiving MMF and patients receiving EC-MPS (p=0.161 and p=0.861, respectively). Second, the coefficient changed with the follow-up period in patients receiving MMF and patients receiving EC-MPS (β=0.829 to 1.028 and β=1.548 to 1.488, respectively), indicating that the same dosage does not guarantee the same concentration at different time points. Finally, the relationship is rather weak in patients receiving MMF and patients receiving EC-MPS (r2=0.106 to 0.125 and r2=0.062 to 0.060 after 1 month post-KT, respectively), emphasizing the high variability. The changing relationship between dosages and MPA concentrations is likely to be related to the changes in clearance of MPA that occur over time [22]. Another interesting finding is that our results, calculated from South Korean patients, differed from other studies. The mean dosages of mycophenolate needed to reach the target level were relatively lower than in the previous studies with other ethnicities [8]. As shown in Table 2, mean tacrolimus and MPA trough levels differed significantly during each period, which is why we analyzed risk factors related to BPAR by 2 statistical methods over 3 different periods. During the first month, mean tacrolimus trough level ≥7.0 ng/mL in patients receiving MMF and patients receiving EC-MPS (OR=0.117, CI=0.060–0.524, p<0.001 and OR=0.258, CI=0.131–0.507, p<0.001, respectively) and a mean MPA trough level ≥1.7 mg/L in patients receiving MMF (OR=0.190, CI=0.040–0.896, p=0.036) and ≥2.1 mg/L in patients receiving EC-MPS (OR=0.507, CI=0.264–0.973, p=0.041) had a protective effect on BPAR. Induction with basiliximab was a risk factor compared to thymoglobulin (OR=11.524, CI=2.175–61.046, p=0.004) only in patients receiving MMF. Between 1 month to 1 year post-KT, mean MPA trough level ≥1.7 mg/L was significantly related to better BPAR-free survival in patients receiving MMF (HR=0.179, CI=0.040–0.806, p=0.025) and patients receiving EC-MPS (HR=0.519, CI=0.289–0.932, p=0.028). Mean tacrolimus trough level ≥5.0 ng/mL was not a significant factor in patients receiving MMF (p=0.544) and patients receiving EC-MPS (p=0.660). Since only 7 patients (5.9%) receiving MMF and 6 patients (1.7%) receiving EC-MPS failed to achieve a target tacrolimus trough level of 5.0 ng/mL, it was challenging to obtain a significant relationship with clinical outcome. After 1 year post-KT, a mean MPA trough concentration ≥0.7 mg/L (HR=0.142, CI=0.028–0.729, p=0.019) was the only factor related to BPAR-free survival in patients receiving MMF. During the same period, mean MPA trough concentration ≥0.7 mg/L (HR=0.208, CI=0.072–0.602, p=0.004) showed significant relationship to better BPAR-free survival in patients receiving EC-MPS. The insignificance of mean tacrolimus trough concentration on BPAR-free survival was likely due to the fact that the vast majority of patients achieved the target level. Therefore, the mean MPA trough level is likely to be important in patients who achieve a proper mean tacrolimus trough level. Although our data showed the clinical significance of mean tacrolimus trough level only during the 1 month postoperative period, the importance of tacrolimus in maintenance cannot be ignored. The mean MPA trough concentration of 0.7 mg/L may appear too low to apply as a safety level. However, the 0.7 mg/L was calculated in the period after 1 year post-KT, when patients are mostly stabilized and the goal was to keep the trough concentration over 1.0 mg/L. In fact, in patients receiving EC-MPS, mean MPA trough concentration ≥1.0 mg/L (HR=0.333, CI=0.150–0.740, p=0.007) and ≥1.3 mg/L (HR=0.465, CI=0.232–0.935, p=0.032) were also significantly related to better BPAR-free survival in a multivariable analysis (Supplementary data). Since we designed the study to divide the patients on the point where they showed the highest sensitivity and specificity, we selected 0.7 mg/L to be used as a dividing point for the long-term follow-up period. The retrospective nature of our study was a limitation in controlling potential confounding factors. We tried to overcome the limitation by including only low-risk KT patients who underwent induction therapy with thymoglobulin or basiliximab and a triple immunosuppressive regimen with tacrolimus, mycophenolate, and corticosteroids. By excluding intermediate-to-high-risk patients who underwent desensitization, our finding can be only applicable to patients with low risk who underwent induction therapy and triple immunosuppression. In addition, multivariable regression analysis was performed. Another limitation of this study is that MPA trough concentration can be variable, especially in EC-MPS [7,16-18]. However, practical issues still exist in monitoring the MPA exposure, and based on the results of our study, the clinical implication of MPA trough concentration of EC-MPS should be reconsidered. The fact that we only used mean MPA trough concentration as a variable may be another weakness. Mean MPA level reflects the overall exposure to the drug, while instant exposures are less relevant. Some might criticize that low- or over-exposure is the one related with rejection or toxicities. However, proving that certain adverse effect in a certain period is related to a single cause is difficult. KT patients are influenced by numerous factors including different kind of drugs are prescribed simultaneously. On the other hand, mean trough concentrations, both tacrolimus and MPA, can be an indicator that the patient’s immune was suppressed sufficiently or insufficiently. Therefore, we suggest that monitoring mycophenolate exposure by MPA trough concentration can potentially be helpful. Clinical fields are all different throughout different countries. The cost for MPA trough concentration is not expensive in our country, while the cost can be the biggest obstacle in others. In these situations, we suggest that therapeutic drug monitoring can be of benefit in patients at high risk for rejection, or patients who are undergoing immunosuppressant change. Adjusting the drug dosage can be another point where MPA monitoring can be beneficial. Study derived from Opticept trial suggested that patients with high- and low-weight can be at risk of over- or underexposure unless doses are adjusted [23].

Conclusions

Mean mycophenolic acid trough concentration showed a significant relationship to acute cellular rejection in patients receiving mycophenolate mofetil and patients receiving enteric-coated mycophenolate sodium. Therefore, mycophenolic acid trough concentration monitoring has a potential benefit in avoiding acute rejection throughout the post-transplantation period in patients treated with a tacrolimus, mycophenolate, and methylprednisolone triple immunosuppressive regimen, and this requires further investigation for specifying the usage.
  23 in total

Review 1.  Therapeutic drug monitoring of mycophenolate mofetil in transplantation.

Authors:  Teun van Gelder; Yann Le Meur; Leslie M Shaw; Michael Oellerich; David DeNofrio; Curtis Holt; David W Holt; Bruce Kaplan; Dirk Kuypers; Bruno Meiser; Burkhard Toenshoff; Richard D Mamelok
Journal:  Ther Drug Monit       Date:  2006-04       Impact factor: 3.681

Review 2.  Clinical pharmacokinetics and pharmacodynamics of mycophenolate in solid organ transplant recipients.

Authors:  Christine E Staatz; Susan E Tett
Journal:  Clin Pharmacokinet       Date:  2007       Impact factor: 6.447

3.  Monitoring of mycophenolic acid predose concentrations in the maintenance phase more than one year after renal transplantation.

Authors:  Masatomo Miura; Takenori Niioka; Shoutaro Kato; Hideaki Kagaya; Mitsuru Saito; Tomonori Habuchi; Shigeru Satoh
Journal:  Ther Drug Monit       Date:  2011-06       Impact factor: 3.681

4.  Explaining variability in mycophenolic acid exposure to optimize mycophenolate mofetil dosing: a population pharmacokinetic meta-analysis of mycophenolic acid in renal transplant recipients.

Authors:  Reinier M van Hest; Ron A A Mathot; Mark D Pescovitz; Robert Gordon; Richard D Mamelok; Teun van Gelder
Journal:  J Am Soc Nephrol       Date:  2006-02-01       Impact factor: 10.121

5.  The pharmacokinetic-pharmacodynamic relationship for total and free mycophenolic Acid in pediatric renal transplant recipients: a report of the german study group on mycophenolate mofetil therapy.

Authors:  Lutz T Weber; Maria Shipkova; Victor W Armstrong; Natalie Wagner; Ekkehard Schütz; Otto Mehls; Lothar B Zimmerhackl; Michael Oellerich; Burkhard Tönshoff
Journal:  J Am Soc Nephrol       Date:  2002-03       Impact factor: 10.121

Review 6.  Consensus report on therapeutic drug monitoring of mycophenolic acid in solid organ transplantation.

Authors:  Dirk R J Kuypers; Yannick Le Meur; Marcelo Cantarovich; Michael J Tredger; Susan E Tett; Dario Cattaneo; Burkhard Tönshoff; David W Holt; Jeremy Chapman; Teun van Gelder
Journal:  Clin J Am Soc Nephrol       Date:  2010-01-07       Impact factor: 8.237

7.  Pharmacokinetics of mycophenolate sodium and comparison with the mofetil formulation in stable kidney transplant recipients.

Authors:  Dario Cattaneo; Monica Cortinovis; Sara Baldelli; Alessandra Bitto; Eliana Gotti; Giuseppe Remuzzi; Norberto Perico
Journal:  Clin J Am Soc Nephrol       Date:  2007-10-10       Impact factor: 8.237

8.  Pharmacokinetic and pharmacodynamic comparison of enteric-coated mycophenolate sodium and mycophenolate mofetil in maintenance renal transplant patients.

Authors:  K Budde; S Bauer; P Hambach; U Hahn; H Röblitz; I Mai; F Diekmann; H-H Neumayer; P Glander
Journal:  Am J Transplant       Date:  2007-04       Impact factor: 8.086

Review 9.  Clinical pharmacokinetics of mycophenolate mofetil.

Authors:  R E Bullingham; A J Nicholls; B R Kamm
Journal:  Clin Pharmacokinet       Date:  1998-06       Impact factor: 6.447

10.  Long-term changes in mycophenolic acid exposure in combination with tacrolimus and corticosteroids are dose dependent and not reflected by trough plasma concentration: a prospective study in 100 de novo renal allograft recipients.

Authors:  D R Kuypers; K Claes; P Evenepoel; B Maes; W Coosemans; J Pirenne; Y Vanrenterghem
Journal:  J Clin Pharmacol       Date:  2003-08       Impact factor: 3.126

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  2 in total

1.  Mycophenolic Acid Trough Concentration and Dose Are Associated with Hematologic Abnormalities but Not Rejection in Kidney Transplant Recipients.

Authors:  Hee Yeon Jung; Sukyung Lee; Yena Jeon; Ji Young Choi; Jang Hee Cho; Sun Hee Park; Yong Lim Kim; Hyung Kee Kim; Seung Huh; Dong Il Won; Chan Duck Kim
Journal:  J Korean Med Sci       Date:  2020-06-22       Impact factor: 2.153

2.  Pharmacodynamic assessment of mycophenolic acid in resting and activated target cell population during the first year after renal transplantation.

Authors:  Rolf Anton Klaasen; Stein Bergan; Sara Bremer; Kristine Hole; Christine Berg Nordahl; Anders Mikal Andersen; Karsten Midtvedt; Morten Heier Skauby; Nils Tore Vethe
Journal:  Br J Clin Pharmacol       Date:  2020-02-16       Impact factor: 4.335

  2 in total

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