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

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 m...

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Main Authors: Piotr Giza, Rafał Ficek, Tomasz Dwulit, Jerzy Chudek, Iwona Woźniak, Andrzej Więcek, Aureliusz Kolonko
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Journal of Clinical Medicine
Subjects:
Online Access:https://www.mdpi.com/2077-0383/9/6/1926
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spelling doaj-8f039c4a63854b979107dd1c2f9320dc2020-11-25T03:17:18ZengMDPI AGJournal of Clinical Medicine2077-03832020-06-0191926192610.3390/jcm9061926Number of Regularly Prescribed Drugs and Intrapatient Tacrolimus Trough Levels Variability in Stable Kidney Transplant RecipientsPiotr Giza0Rafał Ficek1Tomasz Dwulit2Jerzy Chudek3Iwona Woźniak4Andrzej Więcek5Aureliusz Kolonko6Department of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia, Francuska 20/24, 40-027 Katowice, PolandDepartment of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia, Francuska 20/24, 40-027 Katowice, PolandDepartment of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia, Francuska 20/24, 40-027 Katowice, PolandDepartment of Internal Medicine and Oncological Chemotherapy, Medical University of Silesia, Reymonta 8, 40-027 Katowice, PolandUniversity Hospital, Medical University of Silesia, Francuska 20/24, 40-027 Katowice, PolandDepartment of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia, Francuska 20/24, 40-027 Katowice, PolandDepartment of Nephrology, Transplantation and Internal Medicine, Medical University of Silesia, Francuska 20/24, 40-027 Katowice, PolandHigh 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); <i>p</i> value for trend = 0.001]. Stepwise backward multivariate regression analysis revealed that the number of medications [partial correlation coefficient (<i>r</i><sub>partial</sub>) = 0.503, <i>p </i>< 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.https://www.mdpi.com/2077-0383/9/6/1926chronic kidney diseasecoefficient of variationco-medicationdrug interactionsnumber of medicationsextended-release tacrolimus
collection DOAJ
language English
format Article
sources DOAJ
author Piotr Giza
Rafał Ficek
Tomasz Dwulit
Jerzy Chudek
Iwona Woźniak
Andrzej Więcek
Aureliusz Kolonko
spellingShingle Piotr Giza
Rafał Ficek
Tomasz Dwulit
Jerzy Chudek
Iwona Woźniak
Andrzej Więcek
Aureliusz Kolonko
Number of Regularly Prescribed Drugs and Intrapatient Tacrolimus Trough Levels Variability in Stable Kidney Transplant Recipients
Journal of Clinical Medicine
chronic kidney disease
coefficient of variation
co-medication
drug interactions
number of medications
extended-release tacrolimus
author_facet Piotr Giza
Rafał Ficek
Tomasz Dwulit
Jerzy Chudek
Iwona Woźniak
Andrzej Więcek
Aureliusz Kolonko
author_sort Piotr Giza
title Number of Regularly Prescribed Drugs and Intrapatient Tacrolimus Trough Levels Variability in Stable Kidney Transplant Recipients
title_short Number of Regularly Prescribed Drugs and Intrapatient Tacrolimus Trough Levels Variability in Stable Kidney Transplant Recipients
title_full Number of Regularly Prescribed Drugs and Intrapatient Tacrolimus Trough Levels Variability in Stable Kidney Transplant Recipients
title_fullStr Number of Regularly Prescribed Drugs and Intrapatient Tacrolimus Trough Levels Variability in Stable Kidney Transplant Recipients
title_full_unstemmed Number of Regularly Prescribed Drugs and Intrapatient Tacrolimus Trough Levels Variability in Stable Kidney Transplant Recipients
title_sort number of regularly prescribed drugs and intrapatient tacrolimus trough levels variability in stable kidney transplant recipients
publisher MDPI AG
series Journal of Clinical Medicine
issn 2077-0383
publishDate 2020-06-01
description 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); <i>p</i> value for trend = 0.001]. Stepwise backward multivariate regression analysis revealed that the number of medications [partial correlation coefficient (<i>r</i><sub>partial</sub>) = 0.503, <i>p </i>< 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.
topic chronic kidney disease
coefficient of variation
co-medication
drug interactions
number of medications
extended-release tacrolimus
url https://www.mdpi.com/2077-0383/9/6/1926
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