-
Something wrong with this record ?
Comparison of different methods to assess tacrolimus concentration intra-patient variability as potential marker of medication non-adherence
B. Kostalova, K. Mala-Ladova, SD. Sulkova, K. Denhaerynck, S. De Geest, J. Maly
Status not-indexed Language English Country Switzerland
Document type Journal Article
NLK
Directory of Open Access Journals
from 2010
Free Medical Journals
from 2010
PubMed Central
from 2010
Europe PubMed Central
from 2010
Open Access Digital Library
from 2010-01-01
Open Access Digital Library
from 2010-01-01
ROAD: Directory of Open Access Scholarly Resources
from 2010
- Publication type
- Journal Article MeSH
Background and objective: Non-adherence to tacrolimus commonly manifests as low drug concentrations and/or high intra-patient variability (IPV) of concentrations across multiple measurements. We aimed to compare several methods of tacrolimus IPV calculation and evaluate how well each reflects blood concentration variation due to medication non-adherence in kidney transplant recipients. Methods: This Czech single-center retrospective longitudinal study was conducted in 2019. All outpatients ≥18 years of age, ≥3 months post-transplant, and on tacrolimus-based regimens were approached. After collecting seven consecutive tacrolimus concentrations we asked participating patients to self-report adherence to immunosuppressants (BAASIS© scale). The IPV of tacrolimus was calculated as the medication level variability index (MLVI), the coefficient of variation (CV), the time-weighted CV, and via nonlinearly modeled dose-corrected trough levels. These patient-level variables were analyzed using regression analysis. Detected nonlinearities in the dose-response curve were controlled for by adding tacrolimus dosing and its higher-order terms as covariates, along with self-reported medication adherence levels. Results: Of 243 patients using tacrolimus, 42% (n = 102) reported medication non-adherence. Non-adherence was associated with higher CVs, higher time-weighted CVs, and lower dose-corrected nonlinearly modeled trough levels; however, it was not associated with MLVIs. All of the significant operationalizations suggested a weak association that was similar across the applied methods. Discussion and conclusion: Implementation non-adherence was reflected by higher CV or time-weighted CV and by lower blood concentrations of tacrolimus. As an additional tool for identifying patients at risk for non-adherence, simple IPV calculations incorporated into medical records should be considered in everyday clinical practice.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc22031538
- 003
- CZ-PrNML
- 005
- 20230127131215.0
- 007
- ta
- 008
- 230119s2022 sz f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.3389/fphar.2022.973564 $2 doi
- 035 __
- $a (PubMed)36313323
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a sz
- 100 1_
- $a Kostalova, Barbora $u Department of Social and Clinical Pharmacy, Faculty of Pharmacy in Hradec Kralove, Charles University, Hradec Kralove, Czechia
- 245 10
- $a Comparison of different methods to assess tacrolimus concentration intra-patient variability as potential marker of medication non-adherence / $c B. Kostalova, K. Mala-Ladova, SD. Sulkova, K. Denhaerynck, S. De Geest, J. Maly
- 520 9_
- $a Background and objective: Non-adherence to tacrolimus commonly manifests as low drug concentrations and/or high intra-patient variability (IPV) of concentrations across multiple measurements. We aimed to compare several methods of tacrolimus IPV calculation and evaluate how well each reflects blood concentration variation due to medication non-adherence in kidney transplant recipients. Methods: This Czech single-center retrospective longitudinal study was conducted in 2019. All outpatients ≥18 years of age, ≥3 months post-transplant, and on tacrolimus-based regimens were approached. After collecting seven consecutive tacrolimus concentrations we asked participating patients to self-report adherence to immunosuppressants (BAASIS© scale). The IPV of tacrolimus was calculated as the medication level variability index (MLVI), the coefficient of variation (CV), the time-weighted CV, and via nonlinearly modeled dose-corrected trough levels. These patient-level variables were analyzed using regression analysis. Detected nonlinearities in the dose-response curve were controlled for by adding tacrolimus dosing and its higher-order terms as covariates, along with self-reported medication adherence levels. Results: Of 243 patients using tacrolimus, 42% (n = 102) reported medication non-adherence. Non-adherence was associated with higher CVs, higher time-weighted CVs, and lower dose-corrected nonlinearly modeled trough levels; however, it was not associated with MLVIs. All of the significant operationalizations suggested a weak association that was similar across the applied methods. Discussion and conclusion: Implementation non-adherence was reflected by higher CV or time-weighted CV and by lower blood concentrations of tacrolimus. As an additional tool for identifying patients at risk for non-adherence, simple IPV calculations incorporated into medical records should be considered in everyday clinical practice.
- 590 __
- $a NEINDEXOVÁNO
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Mala-Ladova, Katerina $u Department of Social and Clinical Pharmacy, Faculty of Pharmacy in Hradec Kralove, Charles University, Hradec Kralove, Czechia
- 700 1_
- $a Sulkova, Sylvie Dusilova $u Department of Nephrology, University Hospital Hradec Kralove and Faculty of Medicine Hradec Kralove, Charles University, Hradec Kralove, Czechia
- 700 1_
- $a Denhaerynck, Kris $u Department Public Health, Institute of Nursing Science, University of Basel, Basel, Switzerland
- 700 1_
- $a De Geest, Sabina $u Department Public Health, Institute of Nursing Science, University of Basel, Basel, Switzerland $u Academic Center for Nursing and Midwifery, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
- 700 1_
- $a Maly, Josef $u Department of Social and Clinical Pharmacy, Faculty of Pharmacy in Hradec Kralove, Charles University, Hradec Kralove, Czechia
- 773 0_
- $w MED00174597 $t Frontiers in pharmacology $x 1663-9812 $g Roč. 13, č. - (2022), s. 973564
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/36313323 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20230119 $b ABA008
- 991 __
- $a 20230127131206 $b ABA008
- 999 __
- $a ok $b bmc $g 1889533 $s 1182871
- BAS __
- $a 3
- BAS __
- $a PreBMC-PubMed-not-MEDLINE
- BMC __
- $a 2022 $b 13 $c - $d 973564 $e 20221013 $i 1663-9812 $m Frontiers in pharmacology $n Front Pharmacol $x MED00174597
- LZP __
- $a Pubmed-20230119