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S214. HEART RATE VARIABILITY PREDICTS CLOZAPINE PLASMA LEVEL IN PATIENTS WITH SCHIZOPHRENIA IN A POLYPHARMACY CONDITION

BACKGROUND: Clozapine (CLZ) is most specific suitable treatment of refractory schizophrenia; however, it might lead a variety of adverse reactions that cause drug non-compliance. Although it is necessary to conduct therapeutic drug monitoring through measuring psychoactive drug plasma concentration...

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Autores principales: Mi Park, Su, Yeon Jung, Hee, Hoon Jeong, Seong, Won Chung, In, Hoon Yi, Sang, Sik Kim, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234412/
http://dx.doi.org/10.1093/schbul/sbaa031.280
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author Mi Park, Su
Yeon Jung, Hee
Hoon Jeong, Seong
Won Chung, In
Hoon Yi, Sang
Sik Kim, Yong
author_facet Mi Park, Su
Yeon Jung, Hee
Hoon Jeong, Seong
Won Chung, In
Hoon Yi, Sang
Sik Kim, Yong
author_sort Mi Park, Su
collection PubMed
description BACKGROUND: Clozapine (CLZ) is most specific suitable treatment of refractory schizophrenia; however, it might lead a variety of adverse reactions that cause drug non-compliance. Although it is necessary to conduct therapeutic drug monitoring through measuring psychoactive drug plasma concentration measurement, it has limitation in that it takes several days and it is invasive. Previous studies have suggested that the heart rate variability (HRV) might serves as non-invasive and fast marker to monitoring pharmacodynamic intra-individual effects of the drug. This study aimed to investigate whether and which HRV parameters predict CLZ plasma concentration in natural clinical and polypharmacy conditions. METHODS: Total 85 patients (Male = 49 and Female = 36; Mean age = 35.95±9.45 years old; Mean CLZ intake = 6.21±4.86 years old) with schizophrenia who had received clozapine without the change of clozapine dosage at least 7 days before blood sampling for TDM and electrocardiogram (ECG) measuring participated in this study. ECG data were collected during resting-state. Linear and nonlinear HRV analysis were ran. RESULTS: Based on significant results from correlational analysis with the CLZ plasma level, univerate generalized linear regression model (GLM) with gamma distribution were conducted with adjusting the effect of age and sex. As results, for linear parameters of HRV, pNN5, pNN10, and VLF were inversely associated with the CLZ plasma level (Ps<0.05). For nonlinear HRV, DFA2 and crossover were positively and CSE30 were inversely associated with the CLZ concentration (Ps<0.05). After that, step-wise multiple GLM was conducted and the result yield that pNN5 and crossover are best predictors of CLZ plasma level (β=-0.01, t=-3.85, P<0.001 and β=0.50, t=5.02, P<0.001, respectively). The final model with pNN5 and predicted 35.78% of CLZ concentration. Among dependent variables in this model, crossover were positively correlated with CLZ dose (r=0.48, P<0.001). DISCUSSION: HRV, especially for crossover, could be a candidate of a surrogate marker of CLZ concentration for drug-monitoring in patients with treatment-resistant schizophrenia in a polypharmacy condition. Findings of this study would helpful to make a clinical decision of CLZ dosage adjustment on site without the delay.
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spelling pubmed-72344122020-05-23 S214. HEART RATE VARIABILITY PREDICTS CLOZAPINE PLASMA LEVEL IN PATIENTS WITH SCHIZOPHRENIA IN A POLYPHARMACY CONDITION Mi Park, Su Yeon Jung, Hee Hoon Jeong, Seong Won Chung, In Hoon Yi, Sang Sik Kim, Yong Schizophr Bull Poster Session I BACKGROUND: Clozapine (CLZ) is most specific suitable treatment of refractory schizophrenia; however, it might lead a variety of adverse reactions that cause drug non-compliance. Although it is necessary to conduct therapeutic drug monitoring through measuring psychoactive drug plasma concentration measurement, it has limitation in that it takes several days and it is invasive. Previous studies have suggested that the heart rate variability (HRV) might serves as non-invasive and fast marker to monitoring pharmacodynamic intra-individual effects of the drug. This study aimed to investigate whether and which HRV parameters predict CLZ plasma concentration in natural clinical and polypharmacy conditions. METHODS: Total 85 patients (Male = 49 and Female = 36; Mean age = 35.95±9.45 years old; Mean CLZ intake = 6.21±4.86 years old) with schizophrenia who had received clozapine without the change of clozapine dosage at least 7 days before blood sampling for TDM and electrocardiogram (ECG) measuring participated in this study. ECG data were collected during resting-state. Linear and nonlinear HRV analysis were ran. RESULTS: Based on significant results from correlational analysis with the CLZ plasma level, univerate generalized linear regression model (GLM) with gamma distribution were conducted with adjusting the effect of age and sex. As results, for linear parameters of HRV, pNN5, pNN10, and VLF were inversely associated with the CLZ plasma level (Ps<0.05). For nonlinear HRV, DFA2 and crossover were positively and CSE30 were inversely associated with the CLZ concentration (Ps<0.05). After that, step-wise multiple GLM was conducted and the result yield that pNN5 and crossover are best predictors of CLZ plasma level (β=-0.01, t=-3.85, P<0.001 and β=0.50, t=5.02, P<0.001, respectively). The final model with pNN5 and predicted 35.78% of CLZ concentration. Among dependent variables in this model, crossover were positively correlated with CLZ dose (r=0.48, P<0.001). DISCUSSION: HRV, especially for crossover, could be a candidate of a surrogate marker of CLZ concentration for drug-monitoring in patients with treatment-resistant schizophrenia in a polypharmacy condition. Findings of this study would helpful to make a clinical decision of CLZ dosage adjustment on site without the delay. Oxford University Press 2020-05 2020-05-18 /pmc/articles/PMC7234412/ http://dx.doi.org/10.1093/schbul/sbaa031.280 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Poster Session I
Mi Park, Su
Yeon Jung, Hee
Hoon Jeong, Seong
Won Chung, In
Hoon Yi, Sang
Sik Kim, Yong
S214. HEART RATE VARIABILITY PREDICTS CLOZAPINE PLASMA LEVEL IN PATIENTS WITH SCHIZOPHRENIA IN A POLYPHARMACY CONDITION
title S214. HEART RATE VARIABILITY PREDICTS CLOZAPINE PLASMA LEVEL IN PATIENTS WITH SCHIZOPHRENIA IN A POLYPHARMACY CONDITION
title_full S214. HEART RATE VARIABILITY PREDICTS CLOZAPINE PLASMA LEVEL IN PATIENTS WITH SCHIZOPHRENIA IN A POLYPHARMACY CONDITION
title_fullStr S214. HEART RATE VARIABILITY PREDICTS CLOZAPINE PLASMA LEVEL IN PATIENTS WITH SCHIZOPHRENIA IN A POLYPHARMACY CONDITION
title_full_unstemmed S214. HEART RATE VARIABILITY PREDICTS CLOZAPINE PLASMA LEVEL IN PATIENTS WITH SCHIZOPHRENIA IN A POLYPHARMACY CONDITION
title_short S214. HEART RATE VARIABILITY PREDICTS CLOZAPINE PLASMA LEVEL IN PATIENTS WITH SCHIZOPHRENIA IN A POLYPHARMACY CONDITION
title_sort s214. heart rate variability predicts clozapine plasma level in patients with schizophrenia in a polypharmacy condition
topic Poster Session I
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234412/
http://dx.doi.org/10.1093/schbul/sbaa031.280
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