scholarly journals Number of Regularly Prescribed Drugs and Intrapatient Tacrolimus Trough Levels Variability in Stable Kidney Transplant Recipients

2020 ◽  
Vol 9 (6) ◽  
pp. 1926
Author(s):  
Piotr Giza ◽  
Rafał Ficek ◽  
Tomasz Dwulit ◽  
Jerzy Chudek ◽  
Iwona Woźniak ◽  
...  

High intra-patient variability (IPV) of tacrolimus levels is associated with poor long-term outcome after transplantation. We aimed to evaluate whether the number of regularly prescribed medications is associated with the tacrolimus IPV. We have studied 152 kidney transplant recipients (KTRs) with mean post-transplant time of 6.0 ± 3.1 years. The coefficient of variation (CV) as a measure of IPV was calculated in each individual patient. Data concerning the type and number of currently prescribed medications were collected. The participants were divided into four groups, based on the number of regularly prescribed drugs (≤3, 4–6, 7–9, ≥10 drugs, respectively). There was an increasing trend for median CV, proportional to the increasing number of medications [group 1: 0.11 (interquartile range, 0.08–0.14), group 2: 0.14 (0.01–0.17), group 3: 0.17 (0.14–0.23), group 4: 0.17 (0.15–0.30); p value for trend = 0.001]. Stepwise backward multivariate regression analysis revealed that the number of medications [partial correlation coefficient (rpartial) = 0.503, p < 0.001] independently influenced the tacrolimus IPV. Concomitant steroid or diuretics use increased IPV only in Advagraf-treated KTRs, whereas proton-pump inhibitor or statin use increased IPV in the Prograf group but not in the Advagraf group. A large number of concomitant medications significantly increases the tacrolimus IPV in stable KTRs.

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Piotr Giza ◽  
Aureliusz Kolonko ◽  
Jerzy Chudek ◽  
Rafał Ficek ◽  
Tomasz Dwulit ◽  
...  

Abstract Background and Aims High intrapatient variability (IPV) of tacrolimus trough levels is associated with poor long-term outcome after transplantation. Polypharmacy, related to the high co-morbidity, may affect the pharmacokinetics of tacrolimus in a substantial proportion of kidney transplant recipients (KTRs). We aimed to evaluate whether the number of regularly prescribed medications is associated with the tacrolimus IPV. Method We studied 152 tacrolimus-treated KTRs with mean post-transplant time 6.0±3.1 years, without dosing changes over the consecutive 2 years. The coefficient of variation (CV) as a measure IPV was calculated in each patient. Data concerning the type (generic name) and number of currently prescribed medications were collected. The participants were divided into 4 groups, based on the number of regularly prescribed drugs (≤3; 4-6; 7-9; ≥10). Results The median daily pill burden was 6.2±2.5 (ranged 2 to 15). There was an increasing trend for median CV, proportional to the increasing number of medications [group 1: 0.11 (IQR 0.08-0.14); group 2: 0.14 (0.01-0.17); group 3: 0.17 (0.14-0.23); group 4: 0.17 (0.15-0.30); p value for trend = 0.001]. Stepwise backward multivariate regression analysis revealed that the number of medications [partial correlation coefficient (rpartial) = 0.503; p&lt;0.001], age [rpartial = -0.150; p=0.07] and eGFR [rpartial = -0.140; p=0.09] independently influenced the tacrolimus IPV (R2=0.30). Concomitant steroids or diuretics use increased IPV only in Advagraf-treated KTRs, whereas PPIs or statin use increased IPV in Prograf, but not Advagraf group. Conclusion: The number of medications is positively associated with tacrolimus IPV in stable KTRs. There were also tacrolimus formulation-dependent differences in the assumed influence of several concomitantly received classes of medications, including steroids, diuretics, PPIs and statins, on the tacrolimus IPV.


2012 ◽  
Vol 94 (10S) ◽  
pp. 362
Author(s):  
N. Goto ◽  
Y. Matsuda ◽  
M. Takada ◽  
T. Yamamoto ◽  
M. Tsujita ◽  
...  

2015 ◽  
Vol 28 (7) ◽  
pp. 820-827 ◽  
Author(s):  
Christoph Schwarz ◽  
Sophie Mayerhoffer ◽  
Gabriela A. Berlakovich ◽  
Rudolf Steininger ◽  
Thomas Soliman ◽  
...  

2014 ◽  
Vol 98 ◽  
pp. 465 ◽  
Author(s):  
M. Killackey ◽  
E. Khan ◽  
Y. Liu ◽  
D. Kumbala ◽  
H. LaGuardia ◽  
...  

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